Guyue Zhang

1.0k citations
21 papers · 459 · h-index 12

Impact in

Papers in

Guyue Zhang

21 papers receiving 456 citations

Peers

Guyue Zhang
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 217
  • Human-Computer Interaction 30
  • Neurology 43
  • Biological Psychiatry 10
  • Neurology 58
Replace Zhuangzhi Yan with:
Zhuangzhi Yan China
Peihao Chen China
Mariko Ogawa Japan
Qingjun Wang China
Çağatay Berke Erdaş Türkiye
Feng‐Cheng Lin Taiwan
Yingfei Liu China
H. Hattori Japan
Zeyneb Kurt Türkiye
Guyue Zhang relative to Zhuangzhi Yan China Zhuangzhi Yan's profile →
Citations per field
00.5×3.3×
Zhuangzhi Yan · 1×
Citations per year

Countries citing papers authored by Guyue Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Guyue Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201866
2 201460
3 202155
4 201746
5 201644
6 201827
7 201924
8 202122
9 201520
10 201713
11 201712
12 202012
13 201611
14 202110
15 20168
16 20188
17 20227
18 20176
19 20225
20 20232

About Guyue Zhang

Guyue Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery, Molecular Biology and Neurology, having authored 21 papers that have together received 459 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Advanced Neural Network Applications (8 papers), Human Pose and Action Recognition (8 papers), Acute Ischemic Stroke Management (2 papers), AI in cancer detection (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Medical Image Segmentation Techniques (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Human-Computer Interaction (30 citations), Neurology (43 citations), Biological Psychiatry (10 citations) and Neurology (58 citations). Guyue Zhang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yan Qiu Chen, Jun Liu, Ye Liu, Hui Fang, Hengduo Li, Guotong Xie, Jinli Tian, Dandan Zhang, Chuanfeng Lv and Larry S. Davis. Their work appears in journals such as Journal of Visual Communication and Image Representation, Medicine, IEEE Transactions on Multimedia, Computerized Medical Imaging and Graphics and Pattern Recognition.

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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