Chenqi Kong

704 citations
19 papers · 398 · h-index 12

Impact in

Papers in

Chenqi Kong

16 papers receiving 394 citations

Peers

Chenqi Kong
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 257
  • Complementary and alternative medicine 71
  • Signal Processing 96
  • Media Technology 22
  • Transplantation 5
Replace Weili Yang with:
Weili Yang China
Lin Luo China
Md. Rayhan Ahmed Bangladesh
Ko-Chin Chang Taiwan
Yaoyao Zhong China
Greg Ross United Kingdom
Toan Tran Vietnam
Amod Kumar Tiwari India
Amreen Batool South Korea
Amit Doegar India
Chenqi Kong relative to Weili Yang China Weili Yang's profile →
Citations per field
00.5×8.5×
Weili Yang · 1×
Citations per year

Countries citing papers authored by Chenqi Kong

Since Specialization
Citations

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

Fields of papers citing papers by Chenqi Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200180
2 202276
3 202344
4 202231
5 202127
6 202326
7 202224
8 202417
9 202416
10 202316
11 202513
12 202412
13 20238
14 20254
15 20252
16 20192
17 20260
18 20260
19 20250

About Chenqi Kong

Chenqi Kong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Media Technology and Biophysics, having authored 19 papers that have together received 398 indexed citations. Recurring topics across this work include Face recognition and analysis (8 papers), Biometric Identification and Security (5 papers), Digital Media Forensic Detection (4 papers), Adversarial Robustness in Machine Learning (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Face and Expression Recognition (2 papers), Image Processing Techniques and Applications (2 papers) and Antenna Design and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (257 citations), Complementary and alternative medicine (71 citations), Signal Processing (96 citations), Media Technology (22 citations) and Transplantation (5 citations). Chenqi Kong has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Shiqi Wang, Haoliang Li, Hon‐Yeung Cheung, Anderson Rocha, Baoliang Chen, Alex C. Kot, Sam Kwong, Yongjian Hu, Jiwu Huang and Xiangui Kang. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Dependable and Secure Computing, Review of Scientific Instruments and IEEE Transactions on Image Processing.

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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