Wuxing Chen
Impact in
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Machine Learning and ELM 6
- Imbalanced Data Classification Techniques 5
- Anomaly Detection Techniques and Applications 2
- Advanced Clustering Algorithms Research 1
-
- Electricity Theft Detection Techniques 4
- Co-authors
- Kaixiang Yang (13 shared papers)Zhiwen Yu (11 shared papers)C. L. Philip Chen (6 shared papers)Yifan Shi (5 shared papers)Weiwen Zhang (3 shared papers)Jichao Bi (1 shared paper)Fengji Luo (1 shared paper)Feiping Nie (1 shared paper)
In The Last Decade
Wuxing Chen
11 papers receiving 258 citations
Wuxing Chen's Hit Papers
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 145
- Health Information Management 12
- Computer Vision and Pattern Recognition 37
- Control and Systems Engineering 29
- Media Technology 10
Countries citing papers authored by Wuxing Chen
This map shows the geographic impact of Wuxing 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 Wuxing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wuxing Chen more than expected).
Fields of papers citing papers by Wuxing Chen
This network shows the impact of papers produced by Wuxing 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 Wuxing Chen. The network helps show where Wuxing Chen may publish in the future.
Co-authors
The 17 scholars most cited alongside Wuxing Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A survey on imbalanced learning: latest research, applications and future directions Hit paper breakdown → | 2024 | 157 |
| 2 | 2022 | 23 | |
| 3 | 2024 | 21 | |
| 4 | 2022 | 16 | |
| 5 | 2023 | 14 | |
| 6 | 2025 | 12 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2025 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Wuxing Chen
Wuxing Chen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Health Information Management and Control and Systems Engineering, having authored 13 papers that have together received 261 indexed citations. Recurring topics across this work include Machine Learning and ELM (6 papers), Imbalanced Data Classification Techniques (5 papers), Electricity Theft Detection Techniques (4 papers), Anomaly Detection Techniques and Applications (2 papers), Face and Expression Recognition (2 papers), Artificial Intelligence in Healthcare (1 paper), Advanced Clustering Algorithms Research (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Artificial Intelligence (145 citations), Health Information Management (12 citations), Computer Vision and Pattern Recognition (37 citations), Control and Systems Engineering (29 citations) and Media Technology (10 citations). Wuxing Chen has collaborated with scholars based in China and Australia. Frequent co-authors include Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Yifan Shi, Weiwen Zhang, Jichao Bi, Fengji Luo, Feiping Nie, Xianling Yang and Bowen Zhao. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Fuzzy Systems, CAAI Transactions on Intelligence Technology, Neural Computing and Applications 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.