Xiaofang Chen

2.9k citations
158 papers · 1.6k · h-index 22

Impact in

Papers in

Xiaofang Chen

141 papers receiving 1.6k citations

Peers

Xiaofang Chen
Comparison fields: 5 of 158
  • Control and Systems Engineering 492
  • Artificial Intelligence 504
  • Industrial and Manufacturing Engineering 109
  • Computational Theory and Mathematics 152
  • Nuclear and High Energy Physics 120
Replace Mark J. Embrechts with:
Mark J. Embrechts United States
Rafael Bello Cuba
S. Sumathi India
Hao Jiang China
Sungzoon Cho South Korea
Sarosh Talukdar United States
William H. Sanders United States
Hua Zhang China
Cezary Z. Janikow United States
David Laverty United Kingdom
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Citations per field
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Mark J. Embrechts · 1×
Citations per year

Countries citing papers authored by Xiaofang Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaofang Chen Line = papers co-authored together Xiaofang Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201061
2 201159
3 202055
4 201854
5 201951
6 201949
7 201745
8 201942
9 202239
10 201737
11 202133
12 202227
13 201826
14 202126
15 202125
16 201923
17 201322
18 202022
19 202222
20 201422

About Xiaofang Chen

Xiaofang Chen is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Computational Theory and Mathematics and Biomedical Engineering, having authored 158 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (38 papers), Machine Learning and ELM (22 papers), Industrial Vision Systems and Defect Detection (11 papers), Multi-Criteria Decision Making (10 papers), Advanced Chemical Sensor Technologies (10 papers), Mineral Processing and Grinding (10 papers), Neural Networks and Applications (9 papers) and Rough Sets and Fuzzy Logic (8 papers). The work is most often cited by research in Control and Systems Engineering (492 citations), Artificial Intelligence (504 citations), Industrial and Manufacturing Engineering (109 citations), Computational Theory and Mathematics (152 citations) and Nuclear and High Energy Physics (120 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, Keke Huang, Jie Wang, Enke Wang and Xin-Nian Wang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, International Journal of Machine Learning and Cybernetics, Advanced Engineering Informatics, Engineering Applications of Artificial Intelligence and Journal of Process Control.

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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