Yemin Shi

45 total papers · 1.1k total citations
24 papers, 464 citations indexed

About

Yemin Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yemin Shi has authored 24 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Yemin Shi's work include Advanced Neural Network Applications (8 papers), Human Pose and Action Recognition (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Yemin Shi is often cited by papers focused on Advanced Neural Network Applications (8 papers), Human Pose and Action Recognition (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Yemin Shi collaborates with scholars based in China, United States and Hong Kong. Yemin Shi's co-authors include Yaowei Wang, Yonghong Tian, Tiejun Huang, Jichang Li, Yizhou Yu, Jia Li, Guanbin Li, Limeng Qiao, Mengyue Geng and Ke Yan and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Power Delivery.

In The Last Decade

Yemin Shi

22 papers receiving 460 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yemin Shi 311 299 59 54 26 24 464
Qi Dong 244 0.8× 262 0.9× 47 0.8× 55 1.0× 31 1.2× 20 500
Minghao Chen 369 1.2× 339 1.1× 43 0.7× 71 1.3× 25 1.0× 13 537
Jiaxin Chen 276 0.9× 280 0.9× 32 0.5× 37 0.7× 25 1.0× 22 437
Yun Zheng 287 0.9× 237 0.8× 29 0.5× 31 0.6× 26 1.0× 36 533
Ser Nam Lim 400 1.3× 263 0.9× 58 1.0× 66 1.2× 23 0.9× 11 516
Ruipeng Zhang 253 0.8× 273 0.9× 39 0.7× 55 1.0× 53 2.0× 12 459
Weixiang Hong 312 1.0× 215 0.7× 43 0.7× 46 0.9× 29 1.1× 18 452
Rita Chattopadhyay 174 0.6× 352 1.2× 49 0.8× 18 0.3× 16 0.6× 20 466
Baigui Sun 368 1.2× 271 0.9× 27 0.5× 42 0.8× 36 1.4× 19 520
Sheng Jin 310 1.0× 226 0.8× 20 0.3× 37 0.7× 26 1.0× 16 545

Countries citing papers authored by Yemin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yemin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yemin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yemin Shi. A scholar is included among the top collaborators of Yemin Shi 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 Yemin Shi. Yemin Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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