Jingwen Ye

51 total papers · 1.6k total citations
19 papers, 848 citations indexed

About

Jingwen Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jingwen Ye has authored 19 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Jingwen Ye's work include Advanced Neural Network Applications (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Jingwen Ye is often cited by papers focused on Advanced Neural Network Applications (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Jingwen Ye collaborates with scholars based in China, United States and Singapore. Jingwen Ye's co-authors include Mingli Song, Yongcheng Jing, Zunlei Feng, Yezhou Yang, Yizhou Yu, Xinchao Wang, Jie Song, Ying Chen, Zhigeng Pan and Zheng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Jingwen Ye

17 papers receiving 827 citations

Hit Papers

Neural Style Transfer: A ... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jingwen Ye 601 257 106 57 54 19 848
Ayan Kumar Bhunia 774 1.3× 291 1.1× 55 0.5× 53 0.9× 52 1.0× 30 956
Yongcheng Jing 662 1.1× 176 0.7× 125 1.2× 65 1.1× 61 1.1× 16 844
Gaurav Garg 334 0.6× 103 0.4× 146 1.4× 110 1.9× 42 0.8× 28 708
Ning Xie 572 1.0× 243 0.9× 90 0.8× 30 0.5× 25 0.5× 63 835
Stamatios Georgoulis 492 0.8× 348 1.4× 61 0.6× 60 1.1× 23 0.4× 19 908
Yuzhu Ji 631 1.0× 234 0.9× 26 0.2× 91 1.6× 62 1.1× 30 979
Huiwen Chang 893 1.5× 111 0.4× 138 1.3× 78 1.4× 29 0.5× 18 1.0k
Ziyu Wan 545 0.9× 83 0.3× 118 1.1× 53 0.9× 110 2.0× 25 795
Shuyang Gu 698 1.2× 149 0.6× 180 1.7× 55 1.0× 18 0.3× 26 951
Xuansong Xie 769 1.3× 138 0.5× 74 0.7× 85 1.5× 16 0.3× 50 930

Countries citing papers authored by Jingwen Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jingwen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwen Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Jingwen Ye. A scholar is included among the top collaborators of Jingwen Ye 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 Jingwen Ye. Jingwen Ye 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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