Yan Cheng

84 total papers · 1.3k total citations
46 papers, 724 citations indexed

About

Yan Cheng is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Yan Cheng has authored 46 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in General Health Professions. Recurrent topics in Yan Cheng's work include Dementia and Cognitive Impairment Research (6 papers), Heart Failure Treatment and Management (5 papers) and Machine Learning in Healthcare (5 papers). Yan Cheng is often cited by papers focused on Dementia and Cognitive Impairment Research (6 papers), Heart Failure Treatment and Management (5 papers) and Machine Learning in Healthcare (5 papers). Yan Cheng collaborates with scholars based in United States, China and Germany. Yan Cheng's co-authors include Nicola Rieke, Wenqi Li, Sébastien Ourselin, Wentao Zhu, Andrew Feng, Fausto Milletarì, Maximilian Baust, Daguang Xu, M. Jorge Cardoso and Kevin Hawkins and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Yan Cheng

41 papers receiving 695 citations

Author Peers

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

Author Last Decade Papers Cites
Yan Cheng 275 125 87 70 52 46 724
Theresa A. Koleck 213 0.8× 134 1.1× 44 0.5× 85 1.2× 59 1.1× 40 883
Peyman Rezaei‐Hachesu 134 0.5× 78 0.6× 51 0.6× 38 0.5× 41 0.8× 55 728
Andrius Budrionis 164 0.6× 140 1.1× 43 0.5× 35 0.5× 42 0.8× 32 755
Toshihiko Takada 165 0.6× 106 0.8× 105 1.2× 85 1.2× 158 3.0× 73 903
Jeremy Petch 148 0.5× 177 1.4× 68 0.8× 70 1.0× 72 1.4× 26 703
Andrew Wen 364 1.3× 56 0.4× 56 0.6× 32 0.5× 84 1.6× 64 850
Robert El‐Kareh 140 0.5× 154 1.2× 86 1.0× 45 0.6× 69 1.3× 55 845
Johan Gustav Bellika 146 0.5× 254 2.0× 35 0.4× 39 0.6× 33 0.6× 70 847
Vivienne J. Zhu 96 0.3× 71 0.6× 44 0.5× 73 1.0× 30 0.6× 24 776
Bilal A. Mateen 137 0.5× 68 0.5× 110 1.3× 46 0.7× 162 3.1× 42 895

Countries citing papers authored by Yan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Cheng. A scholar is included among the top collaborators of Yan Cheng 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 Yan Cheng. Yan Cheng 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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2026