Hot Topics Research Articles

A bibliometric analysis and visualization of non-suicidal self-injury in adolescents

BackgroundNon-suicidal self-injury(NSSI)is a widespread occurrence among adolescents, and this behavior can bring serious consequences. In recent years, the prevalence of NSSI continues to rise, which has attracted the attention of many researchers. But currently there is no research exploring the overall research distribution of NSSI in adolescents through quantitative analysis. Therefore, it is necessary to understand the status of development and main research hotspots of NSSI in adolescents via bibliometric analysis.MethodsWe searched the relevant studies from the Web of Science Core Collection(WoSCC)from January 1, 2014 to December 31, 2023. Using CiteSpace and VOSviewer visual analysis tools, we analyzed studies from the perspectives of country, region, institution, journal, author, and keywords.ResultA total of 2177 studies related to NSSI in adolescents were included. USA and Harvard University were the leading country and institution in this research field. Penelope Hasking was the most prolific author. Frontiers in Psychiatry and the Journal of Affective Disorders were the most productive journals. The most high-frequency keywords were ‘depression’, ‘mental health’, ‘emotion regulation’ and ‘borderline personality disorder’. ‘mindfully’, ‘intervention’, ‘self-compassion’ and ‘ecological momentary assessment’ were the emerging keywords.ConclusionsExploring the relevant factors and mechanisms of comorbidities, identifying etiology and risk/protective factors, and finding the impact of NSSI on adolescents are the hot topics. Moreover, intervention measures and interdisciplinary collaborative research for NSSI in adolescents will emerge as frontiers in the future.

Research Situation, Hotspots, and Global Trends in Laser Treatment of Acne Scars: A Bibliometric Analysis of Related Research From 2014 to 2024.

Acne vulgaris is a chronic inflammatory skin condition, commonly resulting in acne scars. Treating acne scars remains a significant challenge in dermatology. With advancements in laser technology, its clinical use for treating acne scars has been increasing annually. However, bibliometric analysis on laser treatment for acne scars is lacking. This study aims to use bibliometrics to comprehensively understand the development trends and research hotspots in laser treatment for acne scars. Using "acne scar" and "laser" as search terms, literature on laser treatment of acne scars from 2014 to 2024 was retrieved from the Web of Science Core Collection (WoSCC) database. The literature data were visualized using VOSviewers, CiteSpace, and R software, generating maps of countries, research institutions, authors, journals, references, and keywords. The analysis included 536 articles from 46 countries, with the United States and China leading in publications. Publications focusing on laser treatment of acne scars exhibit a consistent growth trend annually. Key research institutions include Mahidol University in Thailand, Cairo University in Egypt, and Hallym University in South Korea. The "Journal of Cosmetic Dermatology" had the highest number of articles in this field, while "Dermatologic Surgery" was the most cited publication. These publications involved contributions from 2135 authors, with Professor Manuskiatti Woraphong from Mahidol University in Thailand being the most prolific author in this field. Research on the efficacy of laser treatment for acne scars is a major focus in this field. Among the different types of lasers, CO2 lasers are the most commonly used. Emerging research focuses include therapies such as platelet-rich plasma, picosecond laser, trichloroacetic acid, and burn scar. Treatment efficacy is the primary focus of research in the field of laser treatment for acne scars. Platelet-rich plasma, and novel picosecond lasers, have emerged as hot topics and trends in this research field. However, it is important to note that the impact factors of journals publishing in this field are currently low. Therefore, clinicians must consider and explore strategies for publishing high-quality clinical research in the future.

Diving into hot topics of salivary gland carcinoma management—an EORTC young and early career investigator survey

IntroductionRecently, the ASCO and ESMO guidelines on salivary gland carcinomas (SGCs) have been released. However, several crucial points lack strong recommendations due to low or intermediate quality of evidence. To better address these “grey zones” in the guidelines, we conducted a survey among the European Organization for Research and Treatment of Cancer (EORTC) Head and Neck Cancer Group (HNCG) members on behalf of the EORTC young and early career investigators.Materials and methodsThe survey included 29 questions addressing diagnostic and therapeutic issues related to SGC patients and was shared among 539 members of the EORTC HNCG. Responses were collected from December 2022 to March 2023. The primary aim was to evaluate the decision-making criteria guiding physicians in areas with low evidence in SGC guidelines.ResultsWith a response rate of 19%, the survey received input from 102 respondents, mainly medical oncologists (45%). Among those with pathological high-risk features, 35% and 30% of respondents opted for chemoradiotherapy (CRT) in the definitive and adjuvant settings, respectively. For patients with R0 resection of highly aggressive SGC at the pT1–2 stage, 37% proposed a close follow-up, while 38% proposed adjuvant lymph-node field RT. In cases of pT3–4 stage, 48% proposed adjuvant lymph-node field RT in all cases, and 44% proposed it based only on risk factors. The most important factors guiding the decision to give adjuvant RT after salvage surgery for locoregional relapse include previous radiotherapy, margin status, and the presence of extranodal extension. When faced with combined positivity to HER2 and AR, responses regarding the choice of first-line palliative treatment were heterogeneous.ConclusionsInternational guidelines lack strong recommendations in several fields of SGC diagnosis and treatment due to insufficient high-quality data, resulting in heterogeneity in physicians’ treatment decision (e.g., adjuvant lymph-node field RT and their low concordance with guidelines, such as the use of concomitant CRT). The survey demonstrated the need for prospective clinical trial data to address these gaps in the future.

New Directions and Development Models for College Student Education based on Machine Learning Classification Algorithms

For the contemporary student teaching system, the information-based education management system has played a positive role in the rapid promotion of teaching. In order to get the teaching exploration data of modern information management from the data increment on the Internet, this paper updates the technology of data mining. This paper constructs a quantitative table for teacher positions and conducts ideological and political job evaluations in the database. This paper mainly focuses on the management and construction of ideological informatization based on the [Formula: see text]-means algorithm. By using the [Formula: see text]-means algorithm to analyze the daily behavior data of students, we can discover their behavior patterns and trends, providing decision support for student management. For example, by analyzing data such as students’ internet time, social activities, and library borrowing records, we can understand their interests, hobbies, and learning habits, providing a foundation for personalized education. Cluster analysis of students’ ideological and political performance using the [Formula: see text]-means algorithm can identify student groups with different ideological tendencies. This helps schools to carry out targeted ideological and political education work, and improve the pertinence and effectiveness of ideological and political education. Through quality tracking analysis of educational evaluation, it has carried out educational informatization tracking management using an information model. In the process of judging and analyzing different subjects, it utilized the hot topics of universities for a more comprehensive information intelligent tracking management.

Comprehensive Understanding of Laboratory Evolution for Food Enzymes: From Design to Screening Innovations.

In the field of food processing, enzymes play a pivotal role in improving product quality and flavor, and extending shelf life. However, the exposure of traditional food enzymes to high temperatures during processing often leads to a decrease in activity or even inactivation, limiting the effectiveness of their application under high-temperature conditions. Therefore, the modification of thermostability and activity of enzymes to adapt to extreme conditions through protein engineering has become a key way to improve the efficiency and economic benefits of industrial production. Directed evolution and semirational design strategies in the laboratory have proven to be broadly applicable frameworks for biochemical researchers in the food field, including those who are beginners. In this review, we systematically summarize semirational design strategies and high-throughput screening strategies, and introduce some intuitive computer simulation software to improve the thermostability and enzyme activity of food enzymes. The application of these strategies and techniques provides a comprehensive guide for the optimization of food enzymes. In addition, the latest hot topics of genetically engineered food enzymes in the field of application are discussed.

Multitrophic Diversity of the Biotic Community Drives Ecosystem Multifunctionality in Alpine Grasslands.

Biodiversity and ecosystem multifunctionality are currently hot topics in ecological research. However, little is known about the role of multitrophic diversity in regulating various ecosystem functions, which limits our ability to predict the impact of biodiversity loss on human well-being and ecosystem multifunctionality. In this study, multitrophic diversity was divided into three categories: plant, animal, and microbial communities (i.e., plant diversity, rodent diversity, and bacterial and fungal diversity). Also, 15 ecosystem functions were divided into four categories-water conservation, soil fertility, nutrient cycling and transformation, and community production-to evaluate the significance of biotic and abiotic variables in maintaining ecosystem multifunctionality. Results indicated that species diversity at multiple trophic levels had a greater positive impact on ecosystem multifunctionality than species diversity at a single trophic level. Notably, the specific nature of this relationship depended on the niche breadths of plants, indicating that plants played a key role in linking above and belowground trophic levels. Abiotic factors such as altitude and pH directly acted on ecosystem multifunctionality and could explain changes in ecosystem functions. Overall, our study offers valuable insights into the critical role of multitrophic species diversity in preserving ecosystem multifunctionality within alpine grassland communities, as well as strong support for the importance of biodiversity protection.

IMPROVING DIGITAL LITERACY BASED ON INTEGRATION OF SCIENCES IN 21st CENTURY CYBER PEDAGOGY

This article discusses the integration of cyber pedagogy, one of the hot topics of the 21st century. By combining different disciplines such as computer science, media literacy, and information technology, teachers can help students develop properly in online and offline education in a world based on digital technology. It is explained that it provides the necessary knowledge and skills.

Research progress and hot topics of distributed photovoltaic: Bibliometric analysis and Latent Dirichlet Allocation model

Research progress and hot topics of distributed photovoltaic: Bibliometric analysis and Latent Dirichlet Allocation model

Research trends on forensic entomology for five decades worldwide

Forensic entomology, the study of insects and arthropods in criminal investigations, is crucial for estimating postmortem intervals, determining changes in corpse positioning, and identifying causes of death. This study analyzes global research trends in forensic entomology using data from the Scopus database spanning 1970 to 2024, with data visualized through VOSviewer. A total of 2,261 articles were identified, with an average productivity of 42 papers per year. The leading countries in forensic entomology research are the United States (n = 444), Brazil (n = 266), China (n = 198), the United Kingdom (n = 194), and Germany (n = 156). Current hot topics in the field include pupae, feeding behavior, beetles, and genetics. These findings underscore the ongoing interest and advancements in forensic entomology, highlighting its significance and diverse applications in criminal investigations.

A Bibliometric Review and Interdisciplinary Analysis of the Brahmaputra River

In this study, we visualize and analyze the literature on the Brahmaputra river using a spectral clustering algorithm, tracking research trends over time. We found that the focus of research on the Brahmaputra has changed over time in the last decade, with a shift from geology to hydrology and geochemistry and a rapid growth in climate change research in recent years. In the future, potential hot topics may be “water resource management” and other topics related to transboundary water resource management and cooperation. At the same time, this study also analyzes in detail the keywords and clusters “geohydrology” and “ecological risk and sustainable development”, among other topics. We believe that future research should carefully consider the potential effects of transdisciplinary research trends. For instance, it is urgent that transborder governance and management regimes be renovated through joint efforts and cross-border effective actions carried out by multifaceted and multi-scalar agencies along this river.

Big Data in Tourism: A Bibliometric Analysis (2014-2024)

The emergence of big data and its related technologies has brought about novel economic models, industry phenomena, and relational networks, instigating revolutionary changes with significant value for tourism sustainability. This study conducts a bibliometric analysis of 212 articles (2014-2024) on big data in tourism from the Web of Science (WoS) Core Collection database, aiming to create a knowledge map based on big data in tourism. This study utilizes VOSviewer software to carry out citation analysis, co-citation analysis, co-authorship analysis, and keyword co-occurrence analysis, revealing trends in publications, national contributions, influential journals and authors, author collaborations, as well as the conceptual structure and research trends in the field of big data in tourism. The findings indicate a concentration of research in seven areas: machine learning, social network analysis, sustainability, tourism demand forecasting, artificial intelligence, smart tourism, and text mining techniques. The research has focused on emerging hot topics since 2022, including destination image, COVID-19, topic modeling, and urban tourism. This study maps the knowledge of big data in tourism, elucidates the academic evolution in this field, and offers future research directions for scholars in the domain.

Integrated Analysis of microRNAs and Transcription Factor Targets in Floral Transition of Pleioblastus pygmaeus.

Bamboo plants have erratic flowering habits with a long vegetative growth and an uncertain flowering cycle. The process of floral transition has always been one of the hot and intriguing topics in bamboo developmental biology. As master modulators of gene expression at the post-transcriptional level, miRNAs play a crucial role in regulating reproductive growth, especially in floral transition of flowering plants. Pleioblastus pygmaeus is a kind of excellent ground cover ornamental bamboo species. In this study, we performed miRNA expression profiling of the shoot buds and flower buds from the bamboo species, to investigate flowering-related miRNAs in bamboo plants. A total of 179 mature miRNAs were identified from P. pygmaeus, including 120 known miRNAs and 59 novel miRNAs, of which 96 (61 known miRNAs and 35 novel miRNAs) were differentially expressed in the shoots at different growth stages. Based on target gene (TG) prediction, a total of 2099 transcription factors (TFs) were annotated to be TGs of the 96 differentially expressed miRNAs (DEMs), corresponding to 839 recordings of DEM-TF pairs. In addition, we identified 23 known DEMs involved in flowering and six known miRNAs related to floral organ development based on previous reports. Among these, there were 11 significantly differentially expressed miRNAs, with 124 TF targets corresponding to 132 DEM-TF pairs in P. pygmaeus. In particular, we focused on the identification of miR156a-SPL (SQUAMOSA Promoter-Binding protein-Like) modules in the age pathway, which are well-known to regulate the vegetative-to-reproductive phase transition in flowering plants. A total of 36 TF targets of miR156a were identified, among which there were 11 SPLs. The Dual-Luciferase transient expression assay indicated miR156a mediated the repression of the PpSPL targets in P. pygmaeus. The integrated analysis of miRNAs and TGs at genome scale in this study provides insight into the essential roles of individual miRNAs in modulating flowering transition through regulating TF targets in bamboo plants.

Tailoring the properties for composites based on xGNP, TiC and nursing their biocompatibility for wearable technologies

Recently, the balance of stiffness, response time, output voltage, and nursing their biocompatibility are hot research topics and thus developed in the present work. Here, the configurations show the importance of harvesting mechanical energy into electric energy through the piezoelectric mechanism. Some basic strategies to achieve this work's goal involve using stretchable and dielectric elastomers such as silicone rubber (SR) as host matrix to fabricate the device. Then, the addition of 2-dimensional reinforcing and electrically conductive fillers such as exfoliated graphene nanoplatelets (xGNPs) or Titanium carbide (TiC) into the SR matrix was fabricated. Results show that at 5 phr of xGNP-filled composites, the compressive load was ∼275 N for 1 sample, ∼550 N for 2 replicas, and ∼ 650 N for 3 replicas. Similarly, the stretchability was 92 % (unfilled), and at 5 phr, it was 114 % (xGNP), 154 % (TiC), and 106 % (hybrid filler). For an electrode area of 235.5 mm2 (3 replicas), the output voltage was ∼1.6 mV (xGNP), ∼0.95 mV (TiC), and ∼ 0.45 mV (Hybrid). Similarly, for an electrode area of 235.5 mm2 (3 replicas), the response time was ∼283 ms (xGNP), ∼297 ms (TiC), and ∼ 307 ms (Hybrid). The durability tests were also performed and the results show that the voltage drop was negligible from initial to final cycles. Finally, the biocompatible tests were performed. The results show that the samples tested in the present work are biocompatible and can be useful for wearables or as implants for biomedical applications.

Challenges and Opportunities Faced by Contemporary Environmental Art Design Teaching Strategies

This article explores the importance and implementation strategies of comprehensive educational reform in ideological and political theory courses in universities. The article point south at comprehensive education reform is not only an inevitable requirement to adapt to the development needs of the new era, but also a key to improving the quality of ideological and political education, promoting the development of the teacher team, and building a discourse system for ideological and political education with Chinese characteristics. Faced with challenges such as globalization and informatization, ideological and political courses need to update their teaching content, introduce current hot topics, strengthen practical teaching, adopt diversified teaching methods, and fully utilize modern information technology. At the same time, it emphasizes the student-centered teaching philosophy and focuses on cultivating student’s-learning ability and critical thinking. These efforts aim to make ideological and political courses more relevant to the times and students, and contribute to the cultivation of socialist builders and successors with comprehensive development in morality, intelligence, physical fitness, aesthetics, and labor.

Advancing Knowledge in Forest Water Use Efficiency Under Global Climate Change Through Scientometric Analysis

Forests are critical in regulation of carbon and water cycles and mitigation of climate change. Forest water-use efficiency (WUE) refers to the ratio of biomass produced (or assimilated carbon) to the amount of water used by forests, which indicates how effectively a forest utilizes water to achieve productivity. Climate change and its impact on forest WUE are important research directions that explore the complex relationship between global environmental change and the forest ecosystem dynamics. The global intensification of climate change underscores the need for an inclusive understanding of forest water use and makes it crucial to know how forests balance carbon and water resources, which is essential for effective forest management and predicting ecosystem responses to climate change. This study aims to comprehensively and objectively analyze current research trends and future directions related to the response of forest WUE to climate change. Our database included 1755 research papers from the Web of Science Core Collection, spanning from 2000 to 2023. Our analysis included cooperative networks of countries, authors, and institutions, as well as the most frequently cited journals and articles, keyword co-occurrence analysis, and a keyword burst analysis. The results showed that the top cooperative country, author, and institution is PR China, Prof. Dr. Jesús Julio Camarero from the Consejo Superior de Investigaciones Científicas (CSIC), and the Chinese Academy of Sciences, respectively. The leading journal in this field is “Global Change Biology”. Critical research hot topics include gas exchange, modeling, altitudinal gradients, tree growth dynamics, net carbon exchange, global change drivers, tropical forests, nitrogen stoichiometry, Northern China plains, and extreme drought conditions. Frontier topics that have emerged in recent years include studies on China’s Loess Plateau, stable isotopes, radial growth, gross primary productivity, and Scots pine. The insights from this analysis are vital for researchers, decision-makers, and forestry professionals aiming to mitigate the impacts of climate change on forest WUE and overall ecosystem health and resilience. This study emphasizes the importance of sustained research efforts and global research collaboration in addressing the intricate challenges posed by climate change to forest ecosystems.

Bibliometric analysis of orexin: A promising neuropeptide.

Orexin is an excitatory neuropeptide produced in the lateral hypothalamus, playing a role in various physiological functions in humans. There is a growing body of literature on orexins. This paper utilizes CiteSpace software to organize and analyze a significant number of articles on orexin, providing readers with an intuitive overview of research trends and emerging hot topics in this field. The electronic database, Web of Science Core Collection (WoSCC), was searched for publications related to orexins. Annual publications, countries/regions, institutions, authors and keywords were analyzed, and the results were visualized via CiteSpace software. A total of 5486 publications were included, with articles making up 85.30% and reviews 14.70%. The top 3 countries publishing the most papers on orexins were the United States (2057 papers), Japan (778), and China (556). The leading institutions included Research Libraries UK (278), Harvard University (250), and Stanford University (221). The most prolific authors in the field were Yves Dauvilliers (69), Abbas Haghparast (67), and Takeshi Sakurai (66). The most frequently used keywords were "neurons" (981), followed by "sleep" (824), "food intake" (612), "receptors" (547), and "neuropathology" (535). Recent research hotspots include melanin-concentrating hormone neurons, Alzheimer disease, gamma-aminobutyric acid neurons, oxidative stress, suvorexant, the orexin system, prevalence, and stress. Based on keyword clustering analysis, the top 5 research hotspots from 2003 to 2022 were: the effects of orexins on sleep and metabolism, potential pathways of orexin signaling, the relationship between orexin and immunity, new findings on depression and hypertension related to orexin, and possible targets for neurodegenerative diseases. Orexin, a neuropeptide linked to various physiological and pathological processes, plays a crucial role in sleep/wakefulness, reward mechanisms, stress responses, and neurodegenerative diseases. Its significant research value and potential medical applications are underscored by the rapid expansion of studies, particularly in the USA and Japan. However, the lack of collaboration among researchers highlights the need for enhanced academic exchange and cooperation to further advance the field of orexin research.

Research Trends and Hot Topics of Nursing Studies on Hypertension: A Retrospective Bibliometric Analysis From 1979 to 2024.

This study aimed to evaluate research trends and hot topics in the 45-year history of nursing studies on hypertension (1979-2024). This retrospective bibliometric analysis study was conducted with 2678 data obtained from the WoSCC database on April 1, 2024. Data analysis and graphical presentation were presented using the Bibliometrix Package in R software, VOSviewer, and WoSCC. The study revealed that nursing studies on hypertension were growing rapidly in the scientific world. The most productive journal in the field was the Journal of Clinical Nursing, while the most productive and collaborative country was the United States. "Frailty," "COVID-19," "complications," "Meta-analysis," "vital signs," "systematic review", "self-care," and "chronic disease" were determined as hot topics. "COVID-19" and "mhealth" were global trends. Additionally, the issues of "anxiety, pair, vital signs" and "elderly, nursing home, mortality" needed to be addressed more by nurses. Nursing studies on hypertension have increased to date. This area is likely to continue to be an active area of study for nursing researchers in the coming years. Focusing on the topics "anxiety, pair, vital signs" and "elderly, nursing home, mortality" will contribute to filling the gap in the field.

Effectiveness and safety study of formula containing probiotics, prebiotics, synbiotics on fullterm infants' growth - a systematic review and meta-analysis of randomized controlled study.

Probiotics, prebiotics, and synbiotics, are hot topics of research and have been shown to improve the body's disease state and promote health. Analysis of whether infant formula containing probiotcs, prebiotics, synbiotics is beneficial to infant and child growth. We systematically searched multiple electronic databases (PubMed, Web of Science, The Cochrane Library, Embase) to identify eligible studies published from 1966 to December 25, 2022. Included studies were randomized controlled trials (RCTs) studying the influence of milk powder containing probiotcs, prebiotics, synbiotics on infants and children's growth. RevMan 5.4 was used to analyze the data. A total of 55 RCTs with a total sample size of 8868 participants met the inclusion criteria. Milk powder with probiotics, prebiotics, synbiotics does not significantly improve the growth of infants and children (Weight, height, BMI, and Head Circumference); The incidence of minor adverse events (OR 0.88, 95% CI 0.70-1.11 P = 0.28) and serious adverse events (OR 0.92, 95% CI 0.62-1.36 P = 0.67) was also comparable to the control group; The intestinal microbial diversity of infants consuming probiotcs, prebiotics, synbiotics supplemented formula was lower than that of infants consuming formula without probiotcs, prebiotics, synbiotics (SMD -0.88, 95% CI -1.66- -0.1 P = 0.03), but the abundance of individual beneficial flora was increased. (SMD 1.62, 95%CI 0.61-2.62 P = 0.002). In particular, the abundance of Lactobacillus (SMD 1.62, 95% CI 0.61-2.62 P = 0.002). For metabolites, synbiotics increased fecal antibody concentrations (SMD 0.47, 95% CI 0.08-0.86 P = 0.02), but fecal short-chain fatty acid concentrations remained balanced in both groups (SMD 0.05 95% CI -0.17-0.28 P = 0.64). Compared to the control group, infants who consumed formula with prebiotics had softer stools (SMD -1.47, 95% CI -2.23 to -0.7 P = 0.002) and lower stool pH (SMD -0.82, 95% CI -1.15- -0.5 P < 0.00001), there is also more frequency of bowel movements (SMD 0.27, 95% CI 0.09-0.44 P = 0.002). Probiotcs, prebiotics, synbiotics supplemented formulas significantly increased abundance of individual probiotics, alter intestinal antibody secretion, and improve bowel movements. Incidence of adverse reactions did not differ between the two groups. So we can choose formula-supplemented probiotcs, prebiotics, synbiotics to maintain the intestinal health of infants.

Research hot topics and frontiers in social anxiety over the past decade: a CiteSpace bibliometric analysis based on Web of Science database from 2013 to 2023.

To understand the current study of social anxiety (SA) over the past decade, and to analyze the research hot topics and frontiers in this field. CiteSpace 6.2.R3 was used to analyze the literature on SA collected in the Web of Science Core Collection database from 2013 to 2023. A total of 9940 literature were included after the screening, and the annual publication volume showed a steady increase. The results emphasize that Zvolensky MJ, Pine DS, and Heimberg RG are important authors in the field of SA. The United States has the highest number of publications, with the University of California System contributing the most. Research hotspots include cognitive impairment, risk factors, complications, neuroimaging, and intervention strategies. SA related to the "theory of mind", "bullying victimization", "mobile phone", "network analysis", "technology", and "satisfaction" are emerging research foci. This study identifies the current situation and trends of SA research, and provides a reference for future research topics and directions.

Research on power battery anomaly detection method based on improved TimesNet

Health monitoring and abnormality detection of power batteries for new energy vehicles has been one of the hot topics in recent years. Accurate and efficient power battery anomaly detection is crucial to ensure stable operation of the battery system and energy saving. However, power battery data are often non-linear and unstable due to external factors, such as temperature conditions, which pose challenges for anomaly detection. Existing methods for collecting battery data’s temporal and spatial features are available, but many of them yield suboptimal detection accuracy and feature extraction efficiency due to their disregard for the multi-periodicity of the data. This paper proposes a novel network structure for power battery anomaly detection based on an improved TimesNet. Firstly, the original battery data undergo preprocessing, and the feature correlation coefficient matrix is established using the MIC algorithm. Secondly, the improved TimesNet network is employed to convert the one-dimensional time feature sequence into a two-dimensional tensor, enabling the extraction of temporal features and dependencies at various cycle scales. Finally, the two-dimensional tensor is transformed into a one-dimensional time series, which undergoes information-weighted aggregation to obtain the final anomaly detection results. To assess the effectiveness and generalization of the proposed model, experiments are conducted using Battery and four public datasets for anomaly detection. The experimental results demonstrate that the proposed model outperforms the transformer, autoformer, TimesNet, and Dlinear models, achieving an improvement of 1%–19% in the F1 value and 1%–3% in the ACC compared to the other models.