Congying Han

821 citations
62 papers · 454 · h-index 13

Impact in

Papers in

Congying Han

54 papers receiving 433 citations

Peers

Congying Han
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 155
  • Signal Processing 72
  • Numerical Analysis 28
  • Control and Systems Engineering 79
  • Computational Theory and Mathematics 40
Replace D.H.C. Du with:
D.H.C. Du United States
Eero Immonen Finland
Sheng-Ta Hsieh Taiwan
Hwan Il Kang South Korea
Xin Zuo China
Shang-Jeng Tsai Taiwan
Ranjit Kaur India
Chiara Masiero Italy
Ali Barati Iran
Peng Luo China
Congying Han relative to D.H.C. Du United States D.H.C. Du's profile →
Citations per field
00.5×9.2×
D.H.C. Du · 1×
Citations per year

Countries citing papers authored by Congying Han

Since Specialization
Citations

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

Fields of papers citing papers by Congying Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202342
2 201427
3 201926
4 201424
5 201623
6 202222
7 202118
8 201016
9 202316
10 201313
11 201013
12 200713
13 202013
14 202212
15 202212
16 202311
17 202311
18 20248
19 20238
20 20237

About Congying Han

Congying Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Numerical Analysis and Control and Systems Engineering, having authored 62 papers that have together received 454 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Advanced Optimization Algorithms Research (9 papers), Stochastic Gradient Optimization Techniques (7 papers), Biometric Identification and Security (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Human Pose and Action Recognition (4 papers), Advanced Neural Network Applications (4 papers) and Graph Theory and Algorithms (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Signal Processing (72 citations), Numerical Analysis (28 citations), Control and Systems Engineering (79 citations) and Computational Theory and Mathematics (40 citations). Congying Han has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tiande Guo, Guoping He, Jian Guo, Bonan Li, Xuecheng Nie, Ruxin Wang, Liang Fang, Yongli Wang, Xiaohuang Cao and Zicheng Zhang. Their work appears in journals such as Applied Intelligence, Neurocomputing, Science China Mathematics, Expert Systems with Applications and Applied Mathematics and Computation.

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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