Donghui Wu
- Artificial Intelligence top 1%
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Vladimir VapnikHarris DruckerZhelong WangHongyu ZhaoYujun ShiJianfeng JuJohn Shawe‐TaylorNello Cristianini
- Topics
- Functional Brain Connectivity Studies (8 papers)Electrocatalysts for Energy Conversion (7 papers)Fuel Cells and Related Materials (7 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Donghui Wu
48 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 892
- Information Systems 625
- Computer Networks and Communications 374
- Computer Vision and Pattern Recognition 322
- Biomedical Engineering 160
Countries citing papers authored by Donghui Wu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 85 | |
| 12 | 3 | |
| 13 | Application of wavelet time-series in settlement monitoring for urban subway | 0 |
| 14 | 36 | |
| 15 | Cubic barium titanate nanocrystals prepared by solvothermal method | 0 |
| 16 | Community structure and composition of soil macrofauna under different land use in Changchun City | 3 |
| 17 | Ecological characteristics of soil macro-animal community in mid-south Songnen degraded Leymus chinensis grasslands under restoration succession | 0 |
| 18 | Large Margin Decision Trees for Induction and Transduction | 8 |
| 19 | Large Margin Trees for Induction and Transduction | 16 |
| 20 | 0 |
About Donghui Wu
Donghui Wu is a scholar working on Electrochemistry, Renewable Energy, Sustainability and the Environment and General Decision Sciences, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Electrocatalysts for Energy Conversion (7 papers) and Fuel Cells and Related Materials (7 papers). The work is most often cited by research in Information Systems (625 citations), Artificial Intelligence (892 citations) and Computer Networks and Communications (374 citations). Donghui Wu has collaborated with scholars based in China, United States and Australia. Frequent 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. Their work appears in journals such as Journal of Power Sources, Scientific Reports and Cerebral Cortex.
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.