Academic Sectors Research Articles

A phased strengthening of laboratory capacity in the Eastern Mediterranean Region during the COVID-19 pandemic.

The Eastern Mediterranean Region (EMR) faces ongoing challenges in its public health system due to limited resources, logistical issues, and political disruptions. The COVID-19 pandemic accelerated the need for stronger laboratory capacities to handle the increased demand for testing. In a phased response, EMR countries utilized the National Influenza Centers to rapidly establish and scale molecular testing for SARS-CoV-2, the causative agent of COVID-19. The expansion of capacity included strong collaborations between public health bodies and private and academic sectors to decentralize and expand testing to the subnational level. To ensure that the quality of testing was not impacted by rapid expansion, national and subnational laboratories were enrolled in external quality assurance programs for the duration of the response. Implementation of genomic surveillance was prioritized for variant tracking, leading to the establishment of regional sequencing reference laboratories and the distribution of MinION sequencing platforms to complex emergency countries who previously had limited experience with pathogen sequencing. Challenges included a lack of technical expertise, including in implementing novel diagnostic assays and sequencing, a lack of bioinformatics expertise in the region, and significant logistical and procurement challenges. The collaborative approach, coordinated through the WHO Eastern Mediterranean Regional Office, enabled all 22 countries to achieve SARS-CoV-2 diagnostic capabilities, highlighting the pivotal role of laboratories in global health security.

CLUSTER AND CAREERS: EXPLORING SALARY STRUCTURES AND FACULTY RECRUITMENT IN ACADEMIC PROGRAMS

This research explores the dynamic of faculty recruitment challenges within academic sectors through the lens of human capital theory, social cognitive theory, and expectancy theory. Utilizing the k-Means Cluster Algorithm to delineate the distribution of programs and associated salary ranges, the study examines the implications for attracting faculty graduates. The findings reveal a concentration of programs in Cluster 0, reflecting serious difficulties in faculty recruitment attributed to lower salary offerings. Drawing on Human Capital principles, the research recommends a comprehensive review of salary structures, strategic communication efforts, collaborative benchmarking, professional development initiatives, and program diversification to enhance faculty recruitment strategies. This study contributes valuable insights to the discourse on optimizing faculty recruitment in academic sectors, presenting practical recommendations for aligning programs with evolving industry needs.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0514/a.php" alt="Hit counter" /></p>

A Conceptual Model of the Social Entrepreneurship Design Thinking for University Students

The knowledge-building of social entrepreneurs often depends on self-will, especially in terms of knowledge, skills, creativity, and innovation. Proper planning and design development are the main pillars that help social entrepreneurs to continue to progress and be competitive. Design thinking helps in the production of creative ideas before the implementation of the mission of social entrepreneurship, which in turn contributes to change and increases the social value of society. This article aims to discuss the social entrepreneurship design thinking model of public university students in the production of more efficient and impactful social entrepreneurship behavior. The author uses a literature review approach to obtain relevant concepts and theories before developing a structured modeling framework to be tested in the study. A number of public university students in Peninsular Malaysia were selected to be respondents for this study. This study only unravels the importance of the development of design thinking for university students and no numerical data needs to be analyzed. The contribution of the study gives a positive impact and innovative value to the field of entrepreneurship, the academic sector, and local universities. This study is expected to contribute in building awareness of adapting design thinking to the social entrepreneurship of public university students in the generation of product ideation as well as community social mission activities in achieving the objective as a social entrepreneur who brings impact to the development of the country and human civilization.
 Keywords: design thinking, innovation, public universities, social entrepreneurship, students

Navigating Flood Resilience: Challenges, Solutions, and Lessons Learnt from the Dominican Republic

Recent unprecedented events worldwide, such as floods in Dubai, recurring heavy rainfall in Santo Domingo, and abrupt temperature changes in the United Kingdom (UK), underscore the tangible impacts of climate change. In response to escalating threats from natural disasters, global communities prioritise resilience and effective disaster management systems. This paper addresses best practices for managing abnormal floods, laying the foundation for the next generation of preparedness and mitigation plans. Focusing on flood risk in Santo Domingo, the study employs the Community Disaster Resilience Framework, conducting a workshop with over 100 stakeholders from government, private, and academic sectors. The assessment spans physical, economic, environmental, and social aspects, revealing common challenges in infrastructure upkeep, public awareness, urban planning, drainage, and economic disparities. The paper proposes technological solutions like predictive maintenance and smart drainage systems, emphasising the potential for implementation. Recognising the importance of community involvement and preparedness, insights from the United Kingdom guide initial steps in strategy development. The conclusions advocate for collaborative efforts among government, academia, and society to navigate the complexities of disaster management and community resilience, ultimately proposing a framework to address these challenges. Further research is suggested in expanding online platforms for disaster risk reduction education in the Caribbean region.

Training and development impact on job satisfaction, loyalty and retention among academics

Orientation: Extreme competition among institutions of higher learning was one of the difficulties that universities of technology (UoTs) had to overcome in order to enter the higher education system. This study examined the influence of training and development on job satisfaction, loyalty and retention among academic staff at a selected university of technology.Research purpose: The study investigated how training and development impact job satisfaction, loyalty and retention among academics.Motivation for the study: The competitive nature of the academic sector inspired universities to strive to attract and retain talented faculty members. Training and development programmes are considered potential tools to enhance job satisfaction, loyalty and retention, but empirical evidence is needed to support this relationship.Research approach/design and method: This study used a quantitative research methodology with a non-probability convenience sample (n = 270) of academics within the selected university utilising self-administered structured questionnaires to collect data.Main findings: The regression analysis revealed positive significant predictive relationships between training and development programmes and job satisfaction, loyalty and retention among academic staff.Practical/managerial implications: Findings imply that universities should prioritise the development of tailored training initiatives that address the specific needs and aspirations of their academic staff. Training interventions can foster a positive work environment and enhance staff members’ commitment and long-term engagement, ultimately improving the overall quality and reputation of the institution.Contribution/value-add: The study provided evidence-based insights to inform policies related to training and development programmes for both academics and institutions of higher education administrators.

THE CRITICAL ROLE OF HRM IN THE WORLD OF HIGHER EDUCATION

Purpose: In the 21st century, higher education is experiencing significant changes driven by technological advancements, shifting student demographics, financial constraints, and evolving teaching methods. Amid these complexities, Human Resource Management (HRM) has become a crucial factor in higher education institutions. The academic sector is increasingly viewed through a business perspective in todays globalized education landscape, including India, leading to heightened competition within the academic field. Managing human resources in universities involves challenges similar to those faced by corporate entities in this fiercely competitive market. Despite many universities and affiliated institutions offering courses in human resource management to better prepare students for managing large corporations, the universities themselves often struggle to efficiently manage their own human resources. The objective is to analyse the current state of HRM procedures in higher learning institutions, focusing on a comprehensive examination of the HRM techniques employed by these advanced educational establishments. Design/Methodology/Approach: This essay delves into the current state of human resource management (HRM) in higher education, shedding light on its challenges, impact, and emphasizing why HRM is a critical issue. The study seeks to analyse the present status of HRM practices in higher learning institutions, identifying the most significant hurdles faced by HRM professionals in the realm of higher education. Findings/Result: The research aims to enumerate how effective human resource management influences the overall operations of educational institutions. Offer recommendations for improving human resource management in higher education to align with the evolving expectations of the 21st century. Originality/Value: The findings of the research showed that the majority of educational institutions in the higher education sector use traditional recruitment approaches. However, several educational institutions have begun recruiting potential faculty and staff members through the use of digital platforms and social media. Paper Type: Critical Analysis KEYWORDS: Difficulties, Higher Education, HRM, and Human Resource Technology, Inferences.

NOAA's National Water Model: Advancing operational hydrology through continental‐scale modeling

AbstractThe National Weather Service (NWS) Office of Water Prediction (OWP), in conjunction with the National Center for Atmospheric Research and the NWS National Centers for Environmental Prediction (NCEP) implemented version 2.1 of the National Water Model (NWM) into operations in April of 2021. As with the initial version implemented in 2016, NWM v2.1 is an hourly cycling analysis and forecast system that provides streamflow guidance for millions of river reaches and other hydrologic information on high‐resolution grids. The NWM provides complementary hydrologic guidance at current NWS river forecast locations and significantly expands guidance coverage and water budget information in underserved locations. It produces a full range of hydrologic fields, which can be leveraged by a broad cross section of stakeholders ranging from the emergency responder and water resource communities, to transportation, energy, recreation and agriculture interests, to other water‐oriented applications in the government, academic and private sectors. Version 2.1 of the NWM represents the fifth major version upgrade and more than doubles simulation skill with respect to hourly streamflow correlation, Nash Sutcliffe Efficiency, and bias reduction, over its original inception in 2016. This paper will discuss the driving factors underpinning the creation of the NWM, provide a brief overview of the model configuration and performance, and discuss future efforts to improve NWM components and services.

Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases.

Healthcare is a topic of significant concern within the academic and business sectors. The COVID-19 pandemic has had a considerable effect on the health of people worldwide. The rapid increase in cases adversely affects a nation's economy, public health, and residents' social and personal well-being. Improving the precision of COVID-19 infection forecasts can aid in making informed decisions regarding interventions, given the pandemic's harmful impact on numerous aspects of human life, such as health and the economy. This study aims to predict the number of confirmed COVID-19 cases in Saudi Arabia using Bayesian optimization (BOA) and deep learning (DL) methods. Two methods were assessed for their efficacy in predicting the occurrence of positive cases of COVID-19. The research employed data from confirmed COVID-19 cases in Saudi Arabia (SA), the United Kingdom (UK), and Tunisia (TU) from 2020 to 2021. The findings from the BOA model indicate that accurately predicting the number of COVID-19 positive cases is difficult due to the BOA projections needing to align with the assumptions. Thus, a DL approach was utilized to enhance the precision of COVID-19 positive case prediction in South Africa. The DQN model performed better than the BOA model when assessing RMSE and MAPE values. The model operates on a local server infrastructure, where the trained policy is transmitted solely to DQN. DQN formulated a reward function to amplify the efficiency of the DQN algorithm. By examining the rate of change and duration of sleep in the test data, this function can enhance the DQN model's training. Based on simulation findings, it can decrease the DQN work cycle by roughly 28% and diminish data overhead by more than 50% on average.

Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints

Remanufacturing attains much attention from both industrial and academic sectors due to its beneficial roles in energy conservation and environment protection, where disassembly is a crucial part. To reach the comprehensive sustainability and global optimization of disassembling multiple end-of-life products, this paper suggests a multi-objective multi-product disassembly line balancing problem with considering disassembly profit, energy consumption and noise pollution simultaneously. According to the natures of the problem under consideration, a multi-objective integer programming model is constructed. Its goals are to reach maximum disassembly profit and realize minimum energy consumption while observing noise pollution requirements and resource constraints. Accordingly, a multi-objective group teaching optimization algorithm is specially devised. In it, rank and crowding distance methods are employed to partition the population into two groups. Moreover, precedence preserving crossover and mutation methods are severally used on the two groups to realize the teacher phase. Furthermore, to achieve the student phase, an adaptive local search method is applied to refine solutions in an external archive, and thus its exploitation ability is enhanced. By executing contrast experiments between the devised approach and its powerful competitors on a set of real-world test instances, the experimental results validate that it has highly-adaptive and well-superior performance in tackling the problem of concern.

Integration of wind and solar energies with battery energy storage systems into 36-zone Great Britain power system for frequency regulation studies

Variable-speed wind generators (VSWGs) and solar Photovoltaic (PV) units are being broadly employed as the main renewable energy sources in large-scale transmission power networks. However, they can cause system stability challenges following power imbalances since they provide no inertial and governor responses. In this study, generic dynamic models are developed for VSWGs, PVs and battery energy storages systems (BESSs) which include inertia emulator and droop-based frequency control schemes. These models are suitable for transmission systems stability studies and are integrated into 36-zone Great Britain (GB) power system in DIgSILENT PowerFactory. It is a very useful benchmark for academic research and industrial sectors to undertake feasibility studies for renewable energy integration into GB power system. However, it is not an exact equivalent of the real GB power system. The dynamic time-domain simulations and modal analysis are provided and justified to investigate how PV, Wind and BESS units affect the system frequency response. A sensitivity analysis is also carried out against several factors to demonstrate the dynamic performance of the test system incorporating the generic models for VSWGs, PVs and BESSs. These are associated with units’ frequency response and system frequency changes under renewable energies’ penetration levels of 20 %, 25 %, 50 %, 60 % and 75 % of system demand.

Bridging The Gap: Investigating Student Engagement and Faculty Satisfaction in Artificial Intelligence-Driven Education

The debate about the feasibility of using artificial intelligence applications is still going on in the academic sector, but this will not stop users from applying AI in various fields and we notice in many colleges and universities around the world, that faculty members are still thinking and discussing on how to use SI in teaching and learning and policymakers are negotiating about setting regulations, and students have overcome this in stages and have begun to use and apply AI tools in many educational aspects, this research aims to investigate the gap between policymakers students practice and faculty satisfaction rate with the integration of Artificial Intelligence (AI) in teaching and learning. The study focuses on understanding the perceptions and challenges associated with the incorporation of AI technologies in educational sectors. To identify common students’ practices and variations in faculty member’s responses towards using AI tools in education, try to investigate the members ‘gaps and analyze t

Knowledge and practices of South African oral.

Severe Acute Respiratory Syndrome Coronavirus 2 is a recently discovered virus responsible for causing coronavirus disease 19 (COVID-19). No study has been carried out on South African oral healthcare workers (OHCWs) regarding their knowledge and practices with regard to COVID-19 and its vaccine. This study aimed to determine the knowledge, attitudes and practices of South African OHCWs regarding COVID-19 and its vaccine. This was a cross-sectional study, which utilised an online questionnaire. The link to the questionnaire was sent via email and social media platforms. There was a total of 8056 OHCWs, and a minimum sample size of 367 was required. All information was confidential and anonymous. A total of 327 OHCWs participated with a mean age of 43 years (±12.23) and the majority (60%) being general dentists. Less than half (42%) had obtained additional postgraduate qualifications while 57% were employed in the private and 24% in the academic sectors. Almost two-thirds (60%) obtained a 'good' knowledge score. Overall, OHCWs displayed positive attitudes towards COVID-19 and the majority implemented appropriate infection control protocols at their place of work. The majority (87%) reported to be vaccinated and of those who did not vaccinate, 34% cited concerns about possible side effects as a reason for not vaccinating. Respondents displayed gaps in their knowledge. There was a positive attitude towards the prevention of COVID-19, and almost all participants reported to have implemented the necessary infection control methods. This study's contribution to research was to identify gaps in the knowledge and practices of OHCWs with regards to COVID 19 and its vaccine. Once these gaps have been identified, measures will be put in place to address them.

Investigating the adoption of digital Library by postgraduate students in Jordan: An Enhanced of UTAUT Model

The current study aims to determine the factors influencing the intention to employ digital libraries among postgraduate students in Jordanian universities. The data were gathered through questionnaires in the format of Google Forms. The questionnaires were distributed to postgraduate students enrolled in Jordanian universities with digital libraries, who were recruited via purposive sampling. A total of 261 responses were received, with 67 deemed unsuitable for the study analysis and subsequently excluded. Resultantly, 194 valid questionnaires were finalized for data analysis. The SMART-partial least squares (PLS) software was utilized to conduct structural equation modelling (SEM) to test the study hypotheses. This study discovered that the variables, namely performance expectancy, effort, and facilitating conditions expectancy, were significantly and positively associated with the outcome variable, which is the intention to employ digital libraries. Meanwhile, social influence was revealed to be insignificant. Performance expectancy also significantly mediated the correlations between technological readiness and the intention to utilize and between online self-efficacy and the intention to utilize. The present study focused only on potential users among postgraduate students at Jordanian universities with digital libraries. The findings contributed valuable insights into the academic sector, especially library management to enhance the rate of digital library or e-library adoption at Jordanian universities. Digital library managers and policymakers could leverage the findings to design pertinent strategies that increase user engagement within digital library environments. The UTAUT model was demonstrated to be capable of predicting users’ intentions of employing digital libraries and corroborated the mediation role of performance expectancy on the associations between technological readiness and the intention to utilize and between online self-efficacy and the intention to use.

Evolutions of sustainable supply chain management in emerging economies: A literature review

The escalating demand for items and their consumption has exerted immense pressure on industrial production and supply chain systems, leading to adverse environmental and societal consequences. The rise in pollution rates and ecological disasters resulting from industrial production has prompted numerous scholars and industry specialists to focus on Sustainable Production and Consumption matters within the framework of Sustainable Supply Chain Management (SSCM). The interest in sustainable supply chain management has significantly increased in recent years, spanning both business and academic sectors. This phenomenon is seen in the growing prevalence of papers, conferences, specialized periodicals, and websites exclusively focused on the subject matter. Nevertheless, the importance of sustainable development in developing economies has only just started to be acknowledged. This literature review aims to assess existing research on sustainable supply chain management (SSCM) in developing nations while considering a worldwide perspective. This paper thoroughly examines the rapid expansion of the subject from an evolutionary perspective; aimed at comprehending the progression of sustainability concerns by examining patterns across different industries, and economies, and employing diverse approaches. An extensive thematic analysis was conducted on 56 selected publications published between 2010 and 2023, emphasizing the growth and significance of the knowledge base. The analysis is conducted utilizing a descriptive and content-oriented methodology. Subsequently, the results are presented, demonstrating an increasing interest in Sustainable Supply Chain Management (SSCM). Nevertheless, there is a conspicuous discrepancy in the extent of research carried out on this subject in emerging economies as opposed to industrialized ones. The findings indicate that the context in less developed countries plays a crucial role in carrying out empirical or case study research. Moreover, it is crucial to analyze how the integration of the three dimensions of sustainability impacts the efficiency of the supply chain, especially when considering the perspective of an emerging economy. Hence, the limitations of this investigation are delineated. Ultimately, it is crucial to do further research from multiple angles within the supply chain, encompassing collaboration, sustainable practices, innovation, sourcing, and supplier growth, with a special emphasis on the position and background of rising countries.

The Impact of Artificial Intelligence on Employee Performance and Satisfaction: A Study from Academic Sector

The Impact of Artificial Intelligence on Employee Performance and Satisfaction: A Study from Academic Sector

Preserving Uruguay’s freshwater systems: the need to restrict invasive species introductions for sustainable production

This manuscript critically examines the history of non-native aquatic species introductions in Uruguay, emphasizing the role of public institutions. Despite global concerns about biodiversity threats from these introductions, Uruguay’s reliance on animal production and aquaculture involving non-native species has grown since the 1980s. State institutions, despite past failures, have promoted these introductions without comprehensive risk assessments. Notable cases, including failed attempts with species like the herbivorous carp, American bullfrog, Nile tilapia, Australian redclaw crayfish, and American mink, raise concerns about invasive populations due to a lack of proper risk assessments and prevention measures. Previous examples were deficient in escape monitoring, oversight of specimens after farm closures, and considerations for the presence of new pathogens. This highlights the need for more informed and responsible approaches to prevent invasive species’ establishment, advocating for rigorous analysis and risk assessments before any introduction. We propose overcoming historically fragmented decision-making processes by establishing a bridging structure that coordinates inter- and intra-institutional efforts, engages with the academic sector and social organizations, and evaluates the introductions. This platform can prioritize protecting aquatic ecosystems, fostering sustainable growth, and maintaining ecological balance, contributing to the solution of the problem by facilitating coordinated efforts and engaging diverse stakeholders.

«Третий сектор»: вызовы и потенциал вузовской науки в инженерно-технической сфере позднего СССР

The article analyzes the efforts to stimulate university science at the level of management and methodolog-ical organization of university R&D during the period from the 1960s to the 1980s. The article is based on the study of materials of late Soviet publications, interviews with engineers who worked in the field of R&D during the late Soviet period, and recollections of university employees involved in R&D. It is generally believed that research activities in the late USSR were predominantly concentrated in the academic sector and branch research institutes, while universities were on their periphery. However, new studies show that HEIs were seen as an inte-gral element of the R&D system, and there were attempts made at the Union level to intensify the involvement of Soviet HEIs in these activities. Decrees were adopted on additional funding and incentives for contracting between performers from HEIs and customers from industry and sectoral research institutes. This practice be-came known as “contract science” and can be regarded as the inclusion of pro-market mechanisms in the sphere of R&D. The author discusses contradictions and barriers to more active involvement of universities in R&D. Soviet experts noted that financial and legal departments of universities approached initiative and contractual R&D with caution and created bureaucratic delays in their conclusion and implementation. Funding for R&D was unstable, leading to a high share of incomplete R&D. University science in engineering and technology also suffered from the common problems of Soviet R&D, such as the gap between the stage of development of a new product and inventing it and bringing it into industrial production. Delays or stoppages in implementation resulted in significant number of new developments made in cooperation with universities remaining at the prototype stage.

Издание об истории организации, управления и поддержки науки в СССР

The review by a Russian historian examines the collective monograph "Science of a Big Country: Soviet Management Experience", which was published in November 2023 in the publishing house of the Russian State University for the Humanities under the editorship of Doctor of Historical Sciences E. A. Dolgova. The authors (7 people) are specialists in the history of science, industry, technology and education, economics of science, sociology of science and its legal regulation. The book examines the process of formation and development of science and technology policy of the USSR for the entire period of its existence, as well as its transformation in the first decade after the collapse of the "big country" in a multidimensional manner. Particular attention is paid to the consideration of such features of the "socialist model" of science organization as its ideologization, state support of "big science", creation of the "cult of science" in the society, organization of breakthrough programs, scientific and technological independence, merger of science and technology, isolation of academic, university, industry and factory sectors of science. The book emphasizes that science in the USSR functioned in fact as a subsystem of the state, that its management was concentrated in state structures that sought to prove to the whole world "the superiority of the socialist economy over the capitalist economy". The authors did not set themselves the task of examining such important topics as the relationship between science and the authorities, between scientists and the political regime, and the impact of scientific and technological development on the Soviet society. They left out the repressions of the 1930s and the campaign to "fight cosmopolitanism and dissent" in the postwar period. Such an important sector of the field of knowledge as "military" science, which worked to ensure the state defense order, was also peripherally considered. As a source base for the study, the author makes extensive use of act material, office records of state and party authorities of different levels, sources of personal origin, journalism, and periodicals. The monograph introduces into scientific circulation a set of documents and materials identified in a number of Russian federal and departmental archives. The book consists of 9 chapters, conclusion, list of figures and tables, list of abbreviations, selected bibliography, name index and information about the authors. The monograph is an interdisciplinary study. It will be of interest to specialists engaged in the history, sociology and economics of Russian science, industry, technology and education, as well as to a wide range of readers interested in the history of Russia.

Наука в позднесоветских вузах: регулирование, иерархии, взаимодействия

The introductory article problematizes the understudied issues of the institutional history of science in the late Soviet higher education (HE) from the 1950s to the 1980s, generalizing on the articles of the thematic issue. The authors depart from the idea of multiple modes of governance and the agency of universities and rely on a combination of “history from above” and “history from below”. Analyzing organizational forms along with insti-tutional logics, the authors find that the functioning of HE science was more complex than proponents of its “secondary” character and isolation from the academic and industrial sectors suggest. The increasing substantive and organizational complexity of HE science required more fine-tuned management. However, the development of non-directive regulatory mechanisms and informal interactions, while partially solving this problem, even led to increased tension under the dominance of command-administrative measures. The late Soviet period is charac-terized by the increasing complexity of HEI hierarchy in terms of the volume and nature of scientific research work (R&D). High competition led to the consolidation of a group of leading universities, which later became the forerunners of post-Soviet national research universities. Although HEIs demonstrated remarkable adaptabil-ity to changes in scientific and technological policies, their agentic strategies were reactive, tending to maintain the status quo rather than contribute to institutional changes. The late Soviet period was also marked by the im-plicit spread of pro-market logics and mechanisms of interaction, such as competition, contract research, effi-ciency discourse, economization, and quantification. It enables us to find the deep roots of neoliberal reforms in post-Soviet higher education in Soviet legacy.

Farmland phytoremediation in bibliometric analysis

Phytoremediation is an environmentally friendly, economical, and sustainable technique for restoring farmland. It can remove heavy metals and organic pollutants from the soil through the implementation of hyperaccumulator plants. In recent years, it has garnered significant interest from academic and industrial sectors. This article screened 368 research papers from the Web of Science core collection database related to farmland phytoremediation and conducted a bibliometric analysis of the domain based on CiteSpace. The paper intuitively demonstrates the most influential countries, the most productive institutions, the most contributing groups of authors, and the primary sources of farmland phytoremediation research domain. The findings additionally indicate that the research hotspots include: (1) mechanisms and principles of phytoremediation, (2) the improvement of restoration efficiency, (3) the economic, ecological, and sustainable development of phytoremediation. The exploration of plants with potential to accumulate heavy metals and produce large amounts of biomass is the research frontier within the field of farmland phytoremediation. Additionally, this bibliometric analysis can help scholars willing to work in this research field by concisely understanding the overall research field and frontiers. With the continuous improvement of phytoremediation and its combination with other remediation technologies, the future of farmland remediation will have a promising prospect.