Shuo Ye

33 papers receiving 253 citations

Peers

Shuo Ye
Comparison fields: 5 of 90
  • Statistical and Nonlinear Physics 22
  • Oral Surgery 10
  • Computer Vision and Pattern Recognition 34
  • Instrumentation 5
  • Biomedical Engineering 59
Replace Binh Van Nguyen with:
Binh Van Nguyen South Korea
Bojun Zhang China
Chong Han China
Subhasri Chatterjee United Kingdom
Zheyuan Zhang China
Tristan Kremp United States
Ramavath Prasad Naik India
Jing Yao China
Jonathan Reyes United States
Jinwoo Choi United States
Shuo Ye relative to Binh Van Nguyen South Korea Binh Van Nguyen's profile →
Citations per field
00.5×5×10×14.7×
Binh Van Nguyen · 1×
Citations per year

Countries citing papers authored by Shuo Ye

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202128
2 202422
3 200221
4 202418
5 202118
6 202216
7 202414
8 202212
9 202312
10 202411
11 202111
12 20258
13 20208
14 20168
15 20247
16 20236
17 20245
18 20245
19 20204
20 20253

About Shuo Ye

Shuo Ye is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Biotechnology and Experimental and Cognitive Psychology, having authored 39 papers that have together received 260 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Visual Attention and Saliency Detection (3 papers), Plant Stress Responses and Tolerance (3 papers), Plant responses to water stress (3 papers), Bone Tissue Engineering Materials (3 papers) and Orthopaedic implants and arthroplasty (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (22 citations), Oral Surgery (10 citations), Computer Vision and Pattern Recognition (34 citations), Instrumentation (5 citations) and Biomedical Engineering (59 citations). Shuo Ye has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yunbo Zeng, Xinge You, Qinmu Peng, Sizhi Ai, Lei Zhang, Zhongru Gou, Xiurong Ke, Shujian Yu, Xianyan Yang and Yiu‐ming Cheung. Their work appears in journals such as BMC Musculoskeletal Disorders, Plant Physiology and Biochemistry, IEEE Transactions on Neural Networks and Learning Systems, Chemical Engineering Journal and Journal of Clinical Sleep Medicine.

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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