Long Chen

16.2k citations
549 papers · 11.5k indexed · 2 hit papers · h-index 54

Long Chen

492 papers receiving 11.2k citations

Hit Papers

Adaptive Asymptotic Tracking With Global Perform...2542017202620202023100200300400

Peers

Long Chen
Comparison fields: 5 of 214
  • Finance 1.2k
  • Computer Vision and Pattern Recognition 1.8k
  • Media Technology 682
  • Control and Systems Engineering 1.5k
  • Accounting 733
Replace Maxwell B. Stinchcombe with:
Maxwell B. Stinchcombe United States
Runze Li United States
Thomas F. Coleman United States
Arthur E. Hoerl United States
Robert W. Kennard United States
David W. Scott United States
George Cybenko United States
Dirk P. Kroese Australia
Simon Haykin Canada
Christopher J. C. Burges United States
Long Chen relative to Maxwell B. Stinchcombe United States Maxwell B. Stinchcombe's profile →
Citations per field
00.5×5.4×
Maxwell B. Stinchcombe · 1×
Citations per year

Countries citing papers authored by Long Chen

Since Specialization
Citations

This map shows the geographic impact of Long 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 Long Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Chen more than expected).

Fields of papers citing papers by Long Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long 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 Long Chen. The network helps show where Long Chen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Long 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 Long Chen Line = papers co-authored together Long Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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About Long Chen

Long Chen is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Computational Mechanics, Control and Systems Engineering and Artificial Intelligence, having authored 549 papers that have together received 11.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (43 papers), Remote-Sensing Image Classification (38 papers), Advanced Numerical Methods in Computational Mathematics (37 papers), Advanced Clustering Algorithms Research (32 papers), Financial Markets and Investment Strategies (22 papers), Image and Signal Denoising Methods (20 papers), Traffic Prediction and Management Techniques (17 papers) and Image Retrieval and Classification Techniques (17 papers). The work is most often cited by research in Finance (1.2k citations), Computer Vision and Pattern Recognition (1.8k citations), Media Technology (682 citations), Control and Systems Engineering (1.5k citations) and Accounting (733 citations). Long Chen has collaborated with scholars based in China, Macao and United States. Frequent co-authors include C. L. Philip Chen, Min Gan, Xinlei Zhao, Jiabin Yuan, Lu Zhang, Kai Zhao, Yongduan Song, Zhuo Chen, Zhi Da and Jinchao Xu. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Mathematics of Computation and Journal of Scientific Computing.

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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