Donghui Wu

2.5k total citations · 1 hit paper
57 papers, 1.8k citations indexed

About

Donghui Wu is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Cognitive Neuroscience. According to data from OpenAlex, Donghui Wu has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Renewable Energy, Sustainability and the Environment and 8 papers in Cognitive Neuroscience. Recurrent topics in Donghui Wu's work include Functional Brain Connectivity Studies (8 papers), Electrocatalysts for Energy Conversion (7 papers) and Fuel Cells and Related Materials (7 papers). Donghui Wu is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Electrocatalysts for Energy Conversion (7 papers) and Fuel Cells and Related Materials (7 papers). Donghui Wu collaborates with scholars based in China, United States and Australia. Donghui Wu's co-authors include Vladimir Vapnik, Harris Drucker, Zhelong Wang, Hongyu Zhao, Yujun Shi, Jianfeng Ju, John Shawe‐Taylor, Nello Cristianini, Kristin P. Bennett and Ye Chen and has published in prestigious journals such as Journal of Power Sources, Scientific Reports and Cerebral Cortex.

In The Last Decade

Donghui Wu

48 papers receiving 1.6k citations

Hit Papers

Support vector machines for spam categorization 1999 2026 2008 2017 1999 250 500 750

Peers

Donghui Wu
Mu Li China
Kewei Cheng United States
Weiguo Wu China
Dongil Han South Korea
Hua Zhang China
Mu Li China
Donghui Wu
Citations per year, relative to Donghui Wu Donghui Wu (= 1×) peers Mu Li

Countries citing papers authored by Donghui Wu

Since Specialization
Citations

This map shows the geographic impact of Donghui Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Donghui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghui Wu more than expected).

Fields of papers citing papers by Donghui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donghui Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Donghui Wu. The network helps show where Donghui Wu may publish in the future.

Co-authorship network of co-authors of Donghui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Donghui Wu. A scholar is included among the top collaborators of Donghui Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donghui Wu. Donghui Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Donghui, et al.. (2024). An Approach for Human Posture Recognition Based on the Fusion PSE-CNN-BiGRU Model. Computer Modeling in Engineering & Sciences. 140(1). 385–408. 1 indexed citations
2.
Wang, Dongli, Lili Yuan, Donghui Wu, et al.. (2024). Oil absorption and plant symbiosis capacity of hydrophobic modified concrete: Preparation and performance analysis. Construction and Building Materials. 413. 134897–134897. 5 indexed citations
3.
Ding, Li, Donghui Wu, Cheng Zhang, et al.. (2024). Regional photovoltaic power prediction based on multi-agent federated learning and deep learning. 49. 16–21. 1 indexed citations
6.
Ren, Siqi, Fan Wu, Suling Chen, et al.. (2023). Intratumoral CD103 + CD8 + T cells predict response to neoadjuvant chemoimmunotherapy in advanced head and neck squamous cell carcinoma. Cancer Communications. 43(10). 1143–1163. 20 indexed citations
7.
Ren, Ping, et al.. (2023). Aging-related changes in reward-based decision-making depend on punishment frequency: An fMRI study. Frontiers in Aging Neuroscience. 15. 1078455–1078455. 1 indexed citations
8.
Xin, Rui, et al.. (2023). Research Progress on the Applications of Seashell Adsorption Behaviors in Cement-Based Materials. Buildings. 13(5). 1289–1289. 11 indexed citations
9.
Ma, Manxiu, et al.. (2023). Dorsal and ventral fronto-amygdala networks underlie risky decision-making in age-related cognitive decline. GeroScience. 46(1). 447–462. 2 indexed citations
10.
Chen, Jinfen, et al.. (2022). Two-dimensional dysprosium(III) coordination polymer: Structure, single-molecule magnetic behavior, proton conduction, and luminescence. Frontiers in Chemistry. 10. 974914–974914. 9 indexed citations
11.
Qiu, Sen, Hongkai Zhao, Nan Jiang, et al.. (2021). Sensor network oriented human motion capture via wearable intelligent system. International Journal of Intelligent Systems. 37(2). 1646–1673. 85 indexed citations
12.
Yang, Peng, Dong Ni, Siping Chen, et al.. (2018). Multi-task fused sparse learning for mild cognitive impairment identification. Technology and Health Care. 26(1_suppl). 437–448. 3 indexed citations
13.
Wu, Donghui. (2013). Application of wavelet time-series in settlement monitoring for urban subway. Cehui kexue.
14.
Cao, Hui, et al.. (2013). Methylation of genistein and kaempferol improves their affinities for proteins. International Journal of Food Sciences and Nutrition. 64(4). 437–443. 36 indexed citations
15.
Wu, Donghui. (2008). Cubic barium titanate nanocrystals prepared by solvothermal method. Electronic Components and Materials.
16.
Wu, Donghui, Bai Zhang, & Peng Chen. (2006). Community structure and composition of soil macrofauna under different land use in Changchun City. 52(2). 279–287. 3 indexed citations
17.
Wu, Donghui, et al.. (2004). Ecological characteristics of soil macro-animal community in mid-south Songnen degraded Leymus chinensis grasslands under restoration succession. Acta Pratacultural Science. 13(5). 121–126.
18.
Wu, Donghui, Kristin P. Bennett, Nello Cristianini, & John Shawe‐Taylor. (1999). Large Margin Decision Trees for Induction and Transduction. ePrints Soton (University of Southampton). 8 indexed citations
19.
Wu, Donghui, Kristin P. Bennett, Nello Cristianini, & John Shawe‐Taylor. (1999). Large Margin Trees for Induction and Transduction. UCL Discovery (University College London). 474–483. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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