Cooperative Networks Research Articles

Influence of Socio-Economic and Institutional Factors on the Adoption of Conservation Agriculture in Bahi District, Tanzania

This study sought to establish the influence of socio-economic and institutional factors on the adoption of conservation agriculture in Bahi District, Tanzania. This study used a cross-sectional research design, using the sample of 176 farming households, where 89 households were CA adopters and the remaining 87 households were non-CA adopters. Data from a questionnaire was analyzed through a binary logistic regression model and descriptive statistics. The study concluded that gender, age market availability, credit accessibility and bylaw awareness influenced the adoption of Conservation Agriculture in the study area. If credit accessibility, extension service and bylaws are present, then adopting CA is done more easily. Therefore, before introducing CA, it is important to assess the presence of these factors for better results. Some of the recommendations are that collaboration between financial institutions and policymakers be encouraged as it is essential to increase farmers' credit accessibility by providing affordable loans and financial services. Extension services need to be improved and expanded by funding the extension programs and employing more extension workers. Information dissemination and training on CA should be tailored to consider the needs of female and young farmers. Additionally, cooperative farming groups or networks of young and female farmers should be created to facilitate resource pooling, knowledge sharing and collective investment in necessary equipment and inputs.

Secrecy Performance Review for IoT-based Cognitive Farming System

Abstract: Smart farm management has complex challenges; therefore, there is a need to improve the overall adaptability, profitability, and environmental soundness of the farming systems. Agricultural production can be enhanced with the help of IoT-based cognitive tools. The rapid increase in IoT-based smart systems has raised critical concerns about efficiently utilizing the wireless spectrum. To drastically bring the improvement in the utilization of the wireless spectrum, cognitive radio (CR) has emerged as an effective solution. The inherent openness and broadcast nature of the wireless medium have given rise to many security issues in cooperative networks. Informationtheoretic security or physical layer security (PLS) is evolved as an efficacious wireless prototype for reliable transmissions to avert the eavesdropper from expropriating transmittal data on the wireless connections. Security is the key factor in these networks as they are exposed and active in behavior, thus, are susceptible to fraudulent activities. We investigated the performance of the CR system in terms of secrecy and also examined the system in terms of diversity receipt and selection of relay. The secrecy outcome of channel state information at the sender was also studied. The detrimental effects of fading in cooperative networks were also extensively discussed. Cooperative diversity was examined by deploying MRC and SC strategies at receptors. It has been deduced that CSI knowledge at the sender also has an eloquent concussion on the secrecy of the cognitive system.

CLlight: Enhancing representation of multi-agent reinforcement learning with contrastive learning for cooperative traffic signal control

Multi-agent reinforcement learning has shown great potential for coordinating multi-intersection traffic signals due to its powerful adaptive capabilities, treating each intersection as an agent. However, in the real world, different intersections possess differentiating characteristics such as unique vehicle distributions and traffic patterns. Most existing methods directly add neighboring intersection states to local intersections and optimize the cooperative policy network based on synthesized global features. This indirect optimization approach makes it difficult to thoroughly explore the mutual interactions among different intersection agents, preventing agents from truly learning features with cooperative awareness. To resolve these challenges, we introduce contrastive learning as representation task to the multi-intersection traffic signal control approach named CLlight for two-stage policy network updating. In the first stage, we utilize policy-based or actor-critic-based reinforcement learning methods such as A2C, SAC, and PPO to train policy networks with certain representational capabilities. In the second stage, by extracting pre- and post-masked features and reconstructing the post-masked features, the agents are encouraged to learn the similarities and differences between different intersection policies, which in turn enhances the cooperative and individual representation capabilities of the policy network. To the best of our knowledge, this is the first application of contrastive learning in the field of traffic signal control. Experimental results demonstrate, compared to other state-of-the-art traffic signal control methods, superior average travel time and average waiting time performance under various scenarios, tested on synthetic and real-world datasets.

Robust joint multiple resources allocation algorithm for cooperative underwater acoustic communication networks

AbstractIn this article, a joint relay selection, power control and time allocation problem is studied to maximize the energy efficiency for the cooperative underwater acoustic communication networks. The joint optimization problem is full of challenges due to the strong coupling of multiple resources and the uncertain characteristics of the underwater acoustic communication scenario. To address this issue, the worst‐case method is employed to transform an original uncertain problem into a deterministic problem. Furthermore, we propose the block coordinate descent‐based method to decouple the strongly coupling multi‐resource allocation problem into three relatively independent sub‐problems. The coupling of multiple resources is completely decoupled, thereby greatly reducing the solving difficulty. In addition, given that the sub‐problems with the fractional objective function are still non‐convex and hard to solve, the Dinkelbach‐based method is proposed to transform the fractional objective function into a subtractive form. At last, the relay selection sub‐problem is transformed into a integer programming problem, and the time allocation sub‐problem is transformed into a linear programming problem, whose optimal solutions can be obtained by some well‐established solution methods. The power allocation problem is transformed into a convex optimization problem, which can be solved by the Lagrangian dual method. Finally, in the proposed iteration structure, the three sub‐problems are alternatingly solved until convergence. Simulation results are presented to demonstrate the efficiency and robustness of the proposed algorithm.

Robust cooperative hub location optimization considering demand uncertainty and hub disruptions

Amidst the rise of economic globalization and increased commodity trading, the logistics industry is experiencing rapid growth, encountering intricate transportation demands and fierce market competition. Simultaneously, it faces challenges related to infrastructure development and resource allocation efficiency. To enhance the adaptability and robustness of transportation networks when facing uncertain demands and potential hub disruptions, this paper proposes a two-stage robust optimization model for cooperative hub location problem. The model utilizes a hybrid algorithm that effectively combines the global search capability of genetic algorithms with the step-by-step optimization efficiency of Benders decomposition. Case study analyses demonstrate that, irrespective of the uncertainty environment, the cooperative model maintains lower total costs. Particularly in the case of large demand fluctuations, its cost advantages over non-cooperative models become notably prominent, showcasing remarkable performance in meeting service demands and enhancing resource utilization. Additionally, in cooperative networks, hub disruptions have a more significant impact on hub location decisions, with penalty and supplementary costs further exacerbating this influence. These research findings offer crucial insights for management practices: in uncertain market environments, adopting cooperative and robust planning strategies is pivotal for mitigating operational risks. When making decisions on cooperative hub location selection, carriers should comprehensively consider the interaction between uncertainty and economic benefits to achieve an optimal balance between risk and cost, ensuring the sustained economic feasibility of cooperative ventures.

Newbie journalists and career planning: traversing networks of cooperation, negotiation and convention in the world of journalists

Newbie journalists and career planning: traversing networks of cooperation, negotiation and convention in the world of journalists

HEMATOPOIETIC CELL TRANSPLANTATION (HCT) FOR ALL: A report from the 2024 Congress of the Brazilian Bone Marrow Transplantation and Cellular Therapy Society (SBTMO)

This article analyzes current data, and the main challenges faced in Hematopoietic cell Transplantation (HCT) in Brazil, as presented at the SBTMO 2024 meeting, with the aim of guiding future actions. Topics discussed included the waiting list for HCT transplants, access to beds for adults and pediatric patients, and the need for a more efficient distribution of resources across the country. Among the identified needs were the creation of a program to expand access to transplants through the Brazilian Unified Health System (SUS), the importance of health registries for data-driven decisions, and the development of the "Mais Saúde Amazônia" project to expand transplant centers in the Amazon region. Additionally, the provision of financial incentives for transplant centers, the implementation of mentorship programs to increase access to HCT, and the formation of a cooperative network between SBTMO (Brazilian Society of Bone Marrow Transplantation and Cellular Therapy), ABHH (Brazilian Association of Hematology, Hemotherapy, and Cellular Therapy), ANVISA (Brazilian Health Regulatory Agency), ABRALE (Brazilian Association of Lymphoma and Leukemia), and INCA (Brazilian National Cancer Institute) to improve the integration of HCT services were discussed

Mapping the research of nursing in Parkinson's disease: a bibliometric and quantitative analysis.

Parkinson's disease (PD) is a chronic and progressive neurodegenerative disorder. Clinically, the therapeutic strategy of PD could only alleviate the symptoms. Nursing plays a crucial role in providing patient education, symptom management, and psychosocial support. This study aims to analyze the current state and prospects of research in the field of Parkinson's disease (PD) and its associated nursing care through bibliometric methods to explore the trends that May guide its future development. Literature related to Parkinson's disease and nursing care was systematically searched by the Web of Science database from 1991 to 2023. Quantitative analysis of cooperative networks was conducted using bibliometric tools VOSviewer and CiteSpace. The analysis covered 2,649 publications in the field of PD and nursing care, authored by 12,576 researchers from 3,869 institutions across 94 countries. The number of articles has steadily increased over the past 20 years. In this research field, the United States and the United Kingdom emerged as leading countries, and Radboud Universiteit Nijmegen was positioned as an international hub. Movement Disorders was identified as the journal with the highest output and with the most co-citation. Prof. Bastiaan R. Bloem published the most papers in the area, and Prof. Per Odin had the highest average citation. The major fields of these publications are clinical neurology, geriatrics & gerontology, multidisciplinary sciences, and health care sciences & services. Hot topics in the field predominantly revolve around Parkinson's disease, quality of life, and dementia. Research in Parkinson's disease and nursing care is experiencing a period of rapid growth, with continuous expansion in research scope and depth of investigation. One of the trends identified is the increasing focus on quality of life and the management of dementia in PD patients, reflecting the importance of these areas in research. The study further suggests that future advancements in the field May rely significantly on strengthening international collaborations and addressing global disparities in resource distribution, particularly by promoting research inclusivity and cooperation among low-resource countries.

Trends and research foci in immunoregulatory mechanisms of allergic rhinitis: a bibliometric analysis (2014-2024).

This study aims to provide a comprehensive bibliometric analysis of research trends, hotspots, and future directions in the immunoregulatory mechanisms of allergic rhinitis (AR) from 2014 to 2024. Data were sourced from the Web of Science Core Collection (WoSCC), covering articles and reviews published between April 1, 2014, and March 31, 2024. The search terms included "Allergic Rhinitis," "AR," and related terms along with specific keywords related to immune cells and inflammatory mediators. Bibliometric tools such as CiteSpace, VOSviewer, and SCImago Graphica were used to analyze institutional cooperation networks, keyword co-occurrence, citation bursts, and research topic evolution. Microsoft Excel 2019 was employed to display annual publication trends. A total of 2200 papers met the inclusion and exclusion criteria. The number of publications showed an upward trend over the past decade, with a significant peak in 2021. China (583 papers) and the United States (454 papers) were the major contributing countries. Imperial College London emerged as the leading institution. Key research frontiers identified include the roles of NF kappa B and air pollution in AR. Keyword burst analysis revealed emerging topics such as respiratory allergy and personalized treatment strategies. Notable limitations include the exclusive use of the WoSCC database and the restriction to English-language publications. The field of immunoregulatory mechanisms in allergic rhinitis has seen significant growth, with China and the United States leading the research. Future research should focus on developing personalized treatment plans and understanding the comprehensive impact of environmental factors. Continued interdisciplinary collaboration and international cooperation will be essential for advancing therapeutic strategies in AR.

Ribų valdymas asmeninių socialinių paslaugų erdvėje: samprata, iššūkiai ir galimybės

In the face of external threats, Lithuania's personal social services system must adapt to ensure the continued delivery of services. It must respond to the need to change the content of services, expand the scope of services to include new clients, attract or admit new social service providers, and manage the boundaries between formally provided social services and other individuals and organizations offering assistance. The aim of this article is to define the concepts of 'boundaries' and 'boundary work' in the context of personal social services' resilience to external threats and to investigate how actors from different social spaces—formal (institutionalized) social service providers and non-formal (non-institutionalized) social assistance providers—characterize their interactions with each other and perform 'boundary work'. Research methods include interviews and focus groups. Research participants comprise: 1) formal social service providers (8 focus groups), and 2) informal actors operating in municipalities of different sizes (10 interviews). The study revealed that crises lead to shifts in the boundaries between the activities of different social service providers, increased interactions between actors from different social spaces, the creation of new cooperation networks, emerging opportunities for action, and limitations in their activities. In this phase of challenges and the search for solutions, new social service providers emerge and the contours of new forms of assistance take shape. Reflecting on the experience of crises allows for the construction of future projections for possible recurrent threats.

Unbiased scene graph generation via head-tail cooperative network with self-supervised learning

Scene Graph Generation (SGG) as a critical task in image understanding, facing the challenge of head-biased prediction caused by the long-tail distribution of predicates. However, current debiased SGG methods can easily prioritize improving the prediction of tail predicates while ignoring the substantial sacrifice of head predicates, leading to a shift from head bias to tail bias. To address this issue, we propose a Head-Tail Cooperative network with self-supervised Learning (HTCL), which achieves unbiased SGG by cooperating head-prefer and tail-prefer predictions through learnable weight parameters. HTCL employs a tail-prefer feature encoder to re-represent predicate features by injecting self-supervised learning, which focuses on the intrinsic structure of features, into the supervised learning of SGG, constraining the representation of predicate features to enhance the distinguishability of tail samples. We demonstrate the effectiveness of our HTCL by applying it to VG150, Open Images V6 and GQA200 datasets. The results show that HTCL achieves higher mean Recall with a minimal sacrifice in Recall and achieves a new state-of-the-art overall performance. Our code is available at https://github.com/wanglei0618/HTCL.

Critical care in older adults: Research landscape and hotspots from a bibliometric perspective.

As the population ages, there will be an increasing demand for health care resources, particularly in intensive care. Therefore, critically ill older adults are receiving increasing attention and have been extensively studied. However, the research landscape, dynamic patterns, and emerging topics in this area have scarcely been reviewed. This study aimed to delve into the current status and emerging trends (publication volume and research topics) in critical care for older adults (including interventions, outcomes, and complications) using bibliometric analysis. We retrieved original articles and reviews focusing on critical care for older adults published between 2013 and 2022 from the Web of Science core database. To examine and present the research trends, we employed VOSviewer and CiteSpace software for analysis and visualization. The cooperative network of countries and institutions, cocited authorship network, cocited references, and cooccurrence network of keywords were analyzed. Overall, 6356 articles and reviews published between 2013 and 2022 were analyzed, revealing a noticeable upward trend in the number of publications focused on critical care for older adults. In total, 34,654 authors from 7989 institutions across 131 countries collaborated to publish 6356 papers related to critical care for older adults in 1715 academic journals. The United States of America and China were the top contributors in terms of research studies, while Bertrand Guidet was the most prolific author with the highest number of articles. A dual-map overlay of the literature revealed that research papers published in Molecular/Biology/Genetics and Health/Nursing/Medicine journals were frequently referenced in Medicine/Medical/Clinical journals. Older patients with coronavirus disease 2019, delirium, and frailty were new trends and developing areas of interest. This is the first bibliometric study focusing on critical care in older adults. The research topics indicate that a comprehensive geriatric assessment, tailored interventions, and specific therapeutic algorithms among older adults are recommended to improve outcomes. Furthermore, this study provides valuable insights for clinical decision-making, guideline development, and resource allocation in critical care settings.

Collective sports success through effective social performances: The case of Olympic wrestling in Iran

This study argues that the athletic success of Iranian wrestlers is fused with success in social performances. Using Alexander's cultural sociology, we propose that individuals’ behavioral, emotional, and mental dispositions toward sports are shaped by tacit and invisible social forces encompassing them at a given time and place. Furthermore, we make use of Alexander's notion that the power of culture is manifested when it is actively enacted. To ground our theoretical frameworks with empirical evidence, we conducted a case study of successful Iranian male wrestlers. The study reveals that the success of Iranian wrestling is constructed upon cultural foundations, social organizations, cooperative networks, and a set of social relations that performatively contribute to producing world-class wrestlers. It is within a given social, cultural, and organizational context that culture is performed through a series of collective actions and agencies. Such successful cultural performances reinforce the meaning of certain practices by connecting the past to the present and ensuring their continuity, thereby establishing a strong tradition of collective sporting achievements.

Impact of nutrition on wound healing

Whether from an unintentional damage or surgical intervention, wounds require the cooperation of a complex network of blood cells, tissue types, cytokines, and growth hormones to heal. Increased cellular activity as a result leads to a higher metabolic need for nutrients. Inadequate nutrition can delay the healing process, and a number of nutrients needed for wound repair can speed up the healing process. Inflammatory, proliferative, remodelling, and wound closure are the four stages of wound healing. The wound must be cleaned and clot during the inflammatory period. Through tissue growth, the proliferative phase creates the wound bed. Collagen becomes more robust during the remodelling process. Nutritional integrity is essential at all times. Calcium, zinc, vitamins K, A, and E, and proteins are necessary during inflammation. Amino acids, B vitamins, fats, zinc, and iron all have a role in proliferation. However, this review highlights regarding possible roles for nutrition in wound healing.

Blockchain-enabled cooperative spectrum sensing in 5G and B5G cognitive radio via massive multiple-input multiple-output nonorthogonal multiple access

One of the greatest ways to guarantee that networks designed for fifth generation (5G) and beyond reach the required levels of spectrum efficiency (SE) is through nonorthogonal multiple access (NOMA). This work presents two new blockchain-based techniques that take advantage of massive multiple input multiple output in a single-cell network to improve performance. NOMA power domain is used in the 5G cooperative cognitive radio network (CCRN) to improve the SE of the downlink. This study investigates a novel cooperative NOMA-based CCRN for underlay spectrum sharing. A cooperative NOMA technique is proposed by considering the access modes of relays and secondary users (SUs) on the secondary network. The proposed system's performance is assessed with respect to random channel characteristics, frequency-selective Rayleigh fading and perfect successive interference cancellation (SIC). The first signal decoded by SU identifies the relay states with the best channel quality between users and the destination users to offset the bit error rate. The throughput dropped during the period because of the perfect SIC. The precise closed-form expressions for the system throughput of the secondary network are derived under the interference constraint of the primary network to evaluate the efficacy of the suggested cooperative strategy. The suggested approaches are assessed under various conditions using the MATLAB application by considering varying transmit power levels, power location coefficients and lengths. In every case, four users are assumed to be using a 90 MHz bandwidth and M-ary Quadrature Amplitude Modulation technology.

Viðhorf íslenskra og danskra stjórnenda til starfsumhverfis í ljósi norrænna gilda

Norræn forysta byggir á gildum sem notið hafa aukinnar athygli og vinsælda. Viðfangsefni greinarinnar er að fjalla um opinbera stjórnun á Íslandi og skoða hvort og þá með hvaða hætti íslenskir stjórnendur falla að gildum norrænnar forystu. Gerð var rannsókn að danskri fyrirmynd sem nefnist Opinberir stjórnendur – verkefni og viðhorf. Spurningalisti í formi vefkönnunar var lagður fyrir 1.685 opinbera stjórnendur, 524 svör bárust eða 31%. Megintilgangur rannsóknarinnar var að draga fram áherslur íslenskra stjórnenda í daglegum störfum, viðhorfum til starfsumhverfis og þess ramma sem unnið er í. Skoðað var starfsumhverfi íslenskra og danskra stjórnenda í samhengi við norræn gildi. Helstu niðurstöður benda til þess að opinber stjórnun á Íslandi einkennist af trausti, skýrum verkferlum, stuttum boðleiðum og litlu skrifræði. Helstu hindranir voru lítil áhrif á löggjöf og pólitískt bakland, tækifæri felast hins vegar í að hafa meiri áhrif og auka árangur í starfseminni. Samstarf og tengslanet var gott á vinnustaðnum og sanngjarnar kröfur voru gerðar til stjórnenda. Sérstaða hvors hóps fólst í því að danskir stjórnendur töldu skrifræði vera of mikið og að einfalda mætti verkferla í því sambandi. Íslenskir stjórnendur virtust hins vegar almennt hafa minni áhrif á starfsumhverfið en danskir starfsfélagar. Verkefni og viðhorf íslenskra opinberra stjórnenda ríma við norræn gildi þar sem opin samskipti, gagnrýni í hugsun og umhyggja eru helstu einkennin.

Progress and research trends in lumpy skin disease based on the scientometric assessment – a review

Abstract Background Lumpy skin disease (LSD) has been a significant concern in veterinary medicine since its discovery. Despite decades of research, understanding the full spectrum of this disease remains a challenge. To address this gap, a comprehensive analysis of the existing body of knowledge on LSD is essential. Bibliometric analysis offers a systematic approach towards the mapping of research landscape, identifying key contributors, and uncovering emerging trends in LSD research. Objective This study aims to conduct a thorough bibliometric analysis spanning from 1947 to till the present date in order to map the knowledge domain of LSD. The objective is to gain insights into the global research trends, identify influential contributors, explore collaboration networks, and predict future outlook in LSD research. Method Data extracted from the Scopus database was used to perform a bibliometric analysis. 341 relevant documents were selected for analysis. Bibliometric indicators, including publication numbers, citation counts, and the h-index, were utilized to assess the comprehensive contributions of nations, organizations, authors, and source titles. Additionally, cooperation networks between countries, organizations, and authors were visualized using the VOSviewer tool. Results The analysis revealed a significant increase in research output on LSD, with a notable growth rate of 19.26%. Since its discovery in Zambia in 1929, LSD research has grown steadily, with an average annual growth rate of 5.21%. The University of Pretoria and the Federal Centre for Animal Health emerged as the most active institutions and organizations in LSD research. The Journal of Virology was identified as the most cited journal, reflecting its significant impact on the field, and a strong international collaboration was observed between the United Kingdom and South Africa. Conclusion This study provides valuable insights into the global research landscape of LSD, highlighting key trends, contributors, and collaboration networks. By reviewing decades of research, this analysis enhances our understanding of LSD and serves as a foundation for future research endeavours. The findings of this study will aid researchers in navigating the vast literature on LSD, ultimately contributing to advancements in veterinary medicine and disease management strategies.

Visual Analysis of Hot Topics and Trends in Nutrition for Decompensated Cirrhosis Between 1994 and 2024

Objective An updated summary of the research profile of nutrition for the last 30 years for decompensated cirrhosis is lacking. This study aimed to explore the literature on nutrition for decompensated cirrhosis, draw a visual network map to investigate the research trends, and provide suggestions for future research. The Web of Science database retrieves the literature on nutrition for decompensated cirrhosis between 1994 and 2024. Methods We used the cooperative, co-occurrence, and co-citation networks in the CiteSpace knowledge graph analysis tool to explore and visualize the relevant countries, institutions, authors, co-cited journals, keywords, and co-cited references. Results We identified 741 articles on nutrition for decompensated cirrhosis. The number of publications and research interests has generally increased. The USA contributed the largest number of publications and had the highest centrality. The University of London ranked first in the number of articles issued, followed by the University of Alberta and Mayo Clinic. TANDON P, a “core strength” researcher, is a central hub in the collaborative network. Of the cited journals, HEPATOLOGY had the highest output (540, 15.3%). Conclusions Over the past three decades, the focus of research on nutrition in decompensated cirrhosis has shifted from “hepatic encephalopathy, intestinal failure, metabolic syndrome, and alcoholic hepatitis” to “sarcopenia and nutritional assessment.” In the future, nutritional interventions for sarcopenia should be based on a multimodal approach to address various causative factors. Its targeted treatment is an emerging area that warrants further in-depth research.

The research progress and Hotspot analysis of polymer cement mortar based on bibliometrics

Ordinary cement mortar is commonly used in building engineering due to its high strength, affordability, and easy access to raw materials. However, it suffers from high shrinkage and poor impermeability, which result in reduced building service life and significant carbon dioxide emissions during production. Polymer additives have been found to enhance the mechanical properties of cement mortar, leading to increased interest in polymer cement mortar by researchers. This study collected and analyzed 420 papers published between 1995 and 2023 in the field of polymer cement mortar. The analysis included publication trends, author cooperation networks, national cooperation networks, published journals, co-citation of references, and keywords. The findings reveal a rapid publication growth from 2018 to 2023, with China making the most significant contribution in this field. Among the scholars, Ru Wang has published the highest number of articles in the field of polymer cement mortar, while Ohama’s papers have been cited the most. The journal with the most articles is Construction and Building Materials. Research in polymer cement mortar focuses on mechanical properties, performance, hydration process, microstructure, and other related aspects. The reinforcement effect of polymer-modified cement mortar on reinforced concrete and applying superabsorbent polymer-modified cement mortar and polymer fiber in cement mortar have emerged as recent research frontiers. This study can help scholars quickly identify high-quality references and research frontiers in the field of polymer cement mortar while also providing research directions and ideas.

Research Progress and Hotspot Analysis of Low-Carbon Landscapes Based on CiteSpace Analysis

Global climate change caused by carbon dioxide emissions has become a hot topic globally. It is of great significance to study how low-carbon landscapes can reduce carbon emissions and improve the ecological environment. In this study, CiteSpace software was used to conduct a bibliometric analysis of the research field. The analysis data were based on 2910 studies published in the research field from 2002 to 2023. By analyzing the number of publications in the research field, cooperation networks, keywords, etc., the research status, processes, and hotspots of low-carbon landscapes were systematically reviewed. The results show the following: (1) Between 2002 and 2023, low-carbon landscape research developed rapidly, gradually becoming a multidisciplinary field. A large number of studies were conducted by relevant institutions and scholars from 106 countries. (2) The research focuses on carbon emission reduction, renewable energy, life cycle assessment, etc. The research mainly goes through the following stages: theoretical research on low-carbon technology, the application of low-carbon technology, and the development of the low-carbon economy. (3) Research frontiers focus on low-carbon landscape emission-reduction technologies, low-carbon landscape research methods, and the development and application of low-carbon materials. This study deeply analyzes the research process of low-carbon landscapes and puts forward a research direction for low-carbon landscapes in future urban development, such as economic benefit assessments, ecosystem restoration and protection, social participation, and policy support, in order to provide a reference for low-carbon landscape research.