Chaochen Gu

925 citations
65 papers · 583 · h-index 15

Impact in

Papers in

Chaochen Gu

57 papers receiving 565 citations

Peers

Chaochen Gu
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 218
  • Media Technology 63
  • Artificial Intelligence 130
  • Industrial and Manufacturing Engineering 37
  • Biophysics 20
Replace Teng Jiang with:
Teng Jiang China
Chung‐Hao Chen United States
Mohd Najib Mohd Yasin Malaysia
Xue‐song Tang China
Bin Cai China
Tong Liu China
George K. Knopf Canada
Zheng Gong China
Zhijie Wen China
Mingsi Tong China
Chaochen Gu relative to Teng Jiang China Teng Jiang's profile →
Citations per field
00.5×3.6×
Teng Jiang · 1×
Citations per year

Countries citing papers authored by Chaochen Gu

Since Specialization
Citations

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

Fields of papers citing papers by Chaochen Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021106
2 200944
3 200243
4 201133
5 202230
6 201822
7 200819
8 202318
9 202317
10 201516
11 200816
12 201716
13 202016
14 202016
15 201514
16 201512
17 201611
18 202210
19 199410
20 20138

About Chaochen Gu

Chaochen Gu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 65 papers that have together received 583 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Shape Memory Alloy Transformations (6 papers), Advanced Neural Network Applications (5 papers), Robot Manipulation and Learning (4 papers), Face and Expression Recognition (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (218 citations), Media Technology (63 citations), Artificial Intelligence (130 citations), Industrial and Manufacturing Engineering (37 citations) and Biophysics (20 citations). Chaochen Gu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Kai Yang, Kaijie Wu, Xinping Guan, Fei Zhang, Yuchao Dai, Yinghong Peng, Jie Hu, Baoqing Yang, Changsheng Lu and Sheng Li. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Applied Sciences, Multimedia Tools and Applications, Biomedical Materials and IEEE Transactions on Industrial Informatics.

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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