Chenggang Yan

14.4k citations
259 papers · 10.0k indexed · 12 hit papers · h-index 45
Topics
Advanced Image and Video Retrieval Techniques (67 papers)Advanced Neural Network Applications (37 papers)Visual Attention and Saliency Detection (34 papers)

In The Last Decade

Chenggang Yan

238 papers receiving 9.8k citations

Hit Papers

Improving person re-identification by attribute an...201420262018202220192015201620182020100200300400500

Peers

Chenggang Yan
Comparison fields: 5 of 175
  • Computer Vision and Pattern Recognition 6.2k
  • Molecular Biology 1.7k
  • Artificial Intelligence 1.5k
  • Cancer Research 1.3k
  • Biomedical Engineering 960
Replace Ivor W. Tsang with:
Ivor W. Tsang Singapore
De-Shuang Huang China
Heng Tao Shen China
Rongrong Ji China
Fei Sha China
Junchi Yan China
Gao Huang China
Rui Zhang China
Xiaofeng Zhu China
Xiaojun Chang China
Chenggang Yan relative to Ivor W. Tsang Singapore Ivor W. Tsang's profile →
Citations per field
00.5×4.4×
Ivor W. Tsang · 1×
Citations per year

Countries citing papers authored by Chenggang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chenggang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenggang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Chenggang Yan. A scholar is included among the top collaborators of Chenggang Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chenggang Yan. Chenggang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 2
4 8
5 0
6 19
7 0
8 15
9 0
10 5
11 3
12 0
13 7
14 4
15 24
16 32
17 77
18 19
19 30
20
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusionbreakdown →
337

About Chenggang Yan

Chenggang Yan is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Media Technology, having authored 259 papers that have together received 10.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (67 papers), Advanced Neural Network Applications (37 papers) and Visual Attention and Saliency Detection (34 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.2k citations), Media Technology (954 citations) and Computational Mathematics (60 citations). Chenggang Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongdong Zhang, Qionghai Dai, Yi Yang, Liang Li, Liang Zheng, Zhu‐Hong You, Feng Dai, Yu Wu, Jiyong Zhang and Yutian Lin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Scientific Reports.

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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