Ke Yan

15 total papers · 967 total citations
11 papers, 663 citations indexed

About

Ke Yan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Ke Yan has authored 11 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Ophthalmology. Recurrent topics in Ke Yan's work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Medical Image Segmentation Techniques (5 papers). Ke Yan is often cited by papers focused on Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Medical Image Segmentation Techniques (5 papers). Ke Yan collaborates with scholars based in Australia, China and United States. Ke Yan's co-authors include Xiaoou Tang, Jing Feng, Xiuying Wang, Wei Zeng, Yaowei Wang, Tiejun Huang, Yonghong Tian, Jinman Kim, Dagan Feng and Changyang Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics and Computer Methods and Programs in Biomedicine.

In The Last Decade

Ke Yan

11 papers receiving 642 citations

Hit Papers

The Design of High-Level ... 2006 2026 2012 2019 2006 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
Ke Yan 534 174 83 80 43 11 663
Matthew L. Leavitt 280 0.5× 266 1.5× 50 0.6× 60 0.8× 200 4.7× 12 775
Anupam Garg 113 0.2× 132 0.8× 40 0.5× 120 1.5× 39 0.9× 30 591
Laura Renninger 303 0.6× 368 2.1× 32 0.4× 53 0.7× 30 0.7× 17 617
D. Reisfeld 613 1.1× 47 0.3× 75 0.9× 36 0.5× 69 1.6× 20 763
Ian R. Moorhead 169 0.3× 347 2.0× 70 0.8× 16 0.2× 17 0.4× 15 559
K.L. Chan 337 0.6× 65 0.4× 56 0.7× 47 0.6× 71 1.7× 17 564
Jonas Gårding 336 0.6× 174 1.0× 63 0.8× 36 0.5× 19 0.4× 18 577
Sabalan Daneshvar 305 0.6× 101 0.6× 324 3.9× 79 1.0× 34 0.8× 37 602
Konstantinos Rapantzikos 576 1.1× 42 0.2× 31 0.4× 119 1.5× 136 3.2× 34 782
Otto H. Schade 157 0.3× 328 1.9× 78 0.9× 42 0.5× 9 0.2× 20 666

Countries citing papers authored by Ke Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ke Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Yan

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