Weidong Chen
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Co-authors
- David S. WarrenMichael KiferXiaofen XingQingming HuangJianxin PangShuhui WangLan DuGuorong Li
- Topics
- Multimodal Machine Learning Applications (12 papers)EEG and Brain-Computer Interfaces (8 papers)Video Analysis and Summarization (7 papers)
- Journals
- IEEE Transactions on Image ProcessingNeurocomputingIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weidong Chen
34 papers receiving 446 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 366
- Computer Networks and Communications 136
- Computer Vision and Pattern Recognition 99
- Signal Processing 79
- Information Systems 68
Countries citing papers authored by Weidong Chen
This map shows the geographic impact of Weidong Chen'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 Weidong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weidong Chen more than expected).
Fields of papers citing papers by Weidong Chen
This network shows the impact of papers produced by Weidong Chen. 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 Weidong Chen. The network helps show where Weidong Chen may publish in the future.
Co-authorship network of co-authors of Weidong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Weidong Chen. A scholar is included among the top collaborators of Weidong Chen 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 Weidong Chen. Weidong Chen 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 25 | |
| 16 | 4 | |
| 17 | Analysis of LFMCW delay phase-locked linearization loop | 0 |
| 18 | 10 | |
| 19 | 163 | |
| 20 | HiLog: A First-Order Semantics for Higher-Order Logic Programming Constructs. | 48 |
About Weidong Chen
Weidong Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 41 papers that have together received 519 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), EEG and Brain-Computer Interfaces (8 papers) and Video Analysis and Summarization (7 papers). The work is most often cited by research in Artificial Intelligence (366 citations), Signal Processing (79 citations) and Computer Networks and Communications (136 citations). Weidong Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include David S. Warren, Michael Kifer, Xiaofen Xing, Qingming Huang, Jianxin Pang, Shuhui Wang, Lan Du, Guorong Li, Zhendong Mao and Yuanhe Tian. Their work appears in journals such as IEEE Transactions on Image Processing, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.
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.