Hang Chen

1.9k citations
89 papers · 1.4k · h-index 20

Impact in

Papers in

Hang Chen

80 papers receiving 1.3k citations

Peers

Hang Chen
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 588
  • Acoustics and Ultrasonics 23
  • Neurology 143
  • Artificial Intelligence 359
  • Mathematical Physics 69
Replace Yawei Li with:
Yawei Li China
Xin Yang China
Chenglong Bao China
Moustafa H. Aly Egypt
Shuxiang Song China
Ran Yang China
Nazeer Muhammad Pakistan
Bihan Wen Singapore
Jie Yan China
Jiayin Zhou China
Hang Chen relative to Yawei Li China Yawei Li's profile →
Citations per field
00.5×7.7×
Yawei Li · 1×
Citations per year

Countries citing papers authored by Hang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010194
2 2019180
3 2021111
4 201067
5 202159
6 201759
7 202341
8 201439
9 201435
10 202134
11 202329
12 201329
13 201929
14 202128
15 201727
16 201823
17 201623
18 201522
19 201422
20 201619

About Hang Chen

Hang Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Photonic and Optical Devices (10 papers), Chaos-based Image/Signal Encryption (9 papers), Neural Networks and Reservoir Computing (8 papers), Optical Network Technologies (7 papers), Semiconductor materials and devices (5 papers), Advanced Steganography and Watermarking Techniques (5 papers), Advanced Measurement and Metrology Techniques (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (588 citations), Acoustics and Ultrasonics (23 citations), Neurology (143 citations), Artificial Intelligence (359 citations) and Mathematical Physics (69 citations). Hang Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhengjun Liu, Lin Luo, Songtao Zhang, Li Sun, Shutian Liu, Pengfei Li, Chuang Lin, Ting Liu, Lie Xu and Camel Tanougast. Their work appears in journals such as Optics and Lasers in Engineering, Optical and Quantum Electronics, IEEE Electron Device Letters, Optics Express and Nanophotonics.

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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