Sen Yang

97 total papers · 3.1k total citations
57 papers, 1.1k citations indexed

About

Sen Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sen Yang has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sen Yang's work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Smart Agriculture and AI (8 papers). Sen Yang is often cited by papers focused on AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Smart Agriculture and AI (8 papers). Sen Yang collaborates with scholars based in China, United States and Hong Kong. Sen Yang's co-authors include Xiyue Wang, Xiao Han, Minghui Wang, Jun Zhang, Wei Yang, Junzhou Huang, Jing Zhang, Jing Zhang, Yuqi Fang and Jinxi Xiang and has published in prestigious journals such as Nature, Nature Communications and British Journal of Cancer.

In The Last Decade

Sen Yang

51 papers receiving 1.1k citations

Hit Papers

Transformer-based unsuper... 2022 2026 2023 2024 2022 2025 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Sen Yang 636 480 366 115 96 57 1.1k
Minghui Wang 413 0.6× 358 0.7× 397 1.1× 76 0.7× 84 0.9× 53 1.3k
Massimo Salvi 547 0.9× 435 0.9× 321 0.9× 134 1.2× 128 1.3× 83 1.3k
Caroline Essert 309 0.5× 464 1.0× 443 1.2× 69 0.6× 113 1.2× 43 1.3k
Shannon C. Agner 755 1.2× 607 1.3× 446 1.2× 91 0.8× 87 0.9× 25 1.3k
Tingying Peng 493 0.8× 467 1.0× 313 0.9× 99 0.9× 64 0.7× 44 1.3k
Rajarsi Gupta 465 0.7× 640 1.3× 209 0.6× 153 1.3× 82 0.9× 51 1.3k
Diana Mateus 431 0.7× 487 1.0× 682 1.9× 112 1.0× 122 1.3× 62 1.5k
Maximilian Baust 730 1.1× 489 1.0× 628 1.7× 95 0.8× 123 1.3× 33 1.4k
John Arévalo 700 1.1× 481 1.0× 366 1.0× 119 1.0× 90 0.9× 29 1.0k
Veronika Cheplygina 596 0.9× 388 0.8× 468 1.3× 84 0.7× 132 1.4× 24 1.3k

Countries citing papers authored by Sen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Yang

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