Hang Chen

2.0k citations
96 papers · 1.5k · h-index 20

Impact in

Papers in

Hang Chen

84 papers receiving 1.4k citations

Peers

Hang Chen
Comparison fields: 5 of 118
  • Acoustics and Ultrasonics 26
  • Computer Vision and Pattern Recognition 617
  • Neurology 158
  • Artificial Intelligence 390
  • Electrical and Electronic Engineering 445
Replace Xin Yang with:
Xin Yang China
Yawei Li China
Moustafa H. Aly Egypt
Ran Yang China
Shuxiang Song China
Hongmin Li China
Nazeer Muhammad Pakistan
Jie Yan China
Ting Wang China
Jiayin Zhou Singapore
Hang Chen relative to Xin Yang China Xin Yang's profile →
Citations per field
00.5×2×4×5.4×
Xin Yang · 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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019206
2 2010203
3 2021123
4 202168
5 201067
6 201761
7 202347
8 202139
9 201439
10 201436
11 202333
12 201929
13 201329
14 202128
15 201727
16 201624
17 201823
18 201522
19 201422
20 202022

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 96 papers that have together received 1.5k indexed citations. Recurring topics across this work include Photonic and Optical Devices (11 papers), Chaos-based Image/Signal Encryption (9 papers), Neural Networks and Reservoir Computing (9 papers), Optical Network Technologies (8 papers), Advanced Steganography and Watermarking Techniques (5 papers), Semiconductor materials and devices (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (26 citations), Computer Vision and Pattern Recognition (617 citations), Neurology (158 citations), Artificial Intelligence (390 citations) and Electrical and Electronic Engineering (445 citations). Hang Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhengjun Liu, Songtao Zhang, Lin Luo, Li Sun, Shutian Liu, Pengfei Li, Ting Liu, Lie Xu, Chuang Lin and Jie Lin. Their work appears in journals such as Optical and Quantum Electronics, IEEE Electron Device Letters, Optics and Lasers in Engineering, ACS Applied Materials & Interfaces and Optics Express.

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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