Xiaofang Chen
Impact in
-
- Fault Detection and Control Systems
- Software top 5%
Papers in
-
- Machine Learning and ELM 21
- Neural Networks and Applications 8
-
- Fault Detection and Control Systems 38
- Co-authors
- Yongfang Xie (69 shared papers)Chunhua Yang (20 shared papers)Weihua Gui (28 shared papers)Lihui Cen (32 shared papers)Weihua Gui (17 shared papers)Shiwen Xie (22 shared papers)Yu Yang (7 shared papers)Ganesh Gopalakrishnan (7 shared papers)
- Journals
- IEEE Transactions on Industrial Informatics (7 papers)Advanced Engineering Informatics (6 papers)International Journal of Machine Learning and Cybernetics (5 papers)Engineering Applications of Artificial Intelligence (5 papers)Control Engineering Practice (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiaofang Chen
143 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 154
- Control and Systems Engineering 514
- Software 80
- Hardware and Architecture 115
- Artificial Intelligence 541
- Computational Theory and Mathematics 220
Countries citing papers authored by Xiaofang Chen
This map shows the geographic impact of Xiaofang 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 Xiaofang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofang Chen more than expected).
Fields of papers citing papers by Xiaofang Chen
This network shows the impact of papers produced by Xiaofang 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 Xiaofang Chen. The network helps show where Xiaofang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofang 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
Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 62 | |
| 2 | 2011 | 58 | |
| 3 | 2008 | 58 | |
| 4 | 2020 | 58 | |
| 5 | 2018 | 56 | |
| 6 | 2019 | 54 | |
| 7 | 2019 | 51 | |
| 8 | 2017 | 48 | |
| 9 | 2019 | 44 | |
| 10 | 2022 | 43 | |
| 11 | 2017 | 38 | |
| 12 | 2021 | 33 | |
| 13 | 2007 | 32 | |
| 14 | 2022 | 28 | |
| 15 | 2022 | 27 | |
| 16 | 2021 | 27 | |
| 17 | 2018 | 26 | |
| 18 | 2019 | 25 | |
| 19 | 2021 | 25 | |
| 20 | 2019 | 24 |
About Xiaofang Chen
Xiaofang Chen is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Mechanical Engineering and Biomedical Engineering, having authored 161 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (38 papers), Machine Learning and ELM (21 papers), Multi-Criteria Decision Making (10 papers), Advanced Chemical Sensor Technologies (10 papers), Industrial Vision Systems and Defect Detection (10 papers), Mineral Processing and Grinding (10 papers), Rough Sets and Fuzzy Logic (9 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Control and Systems Engineering (514 citations), Software (80 citations), Hardware and Architecture (115 citations), Artificial Intelligence (541 citations) and Computational Theory and Mathematics (220 citations). Xiaofang Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yongfang Xie, Chunhua Yang, Weihua Gui, Lihui Cen, Weihua Gui, Shiwen Xie, Yu Yang, Ganesh Gopalakrishnan, Keke Huang and Jie Wang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Advanced Engineering Informatics, International Journal of Machine Learning and Cybernetics, Engineering Applications of Artificial Intelligence and Control Engineering Practice.
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.