Kevin Zhou

701 total citations
19 papers, 425 citations indexed

About

Kevin Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kevin Zhou has authored 19 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kevin Zhou's work include Dark Matter and Cosmic Phenomena (4 papers), Medical Image Segmentation Techniques (3 papers) and AI in cancer detection (3 papers). Kevin Zhou is often cited by papers focused on Dark Matter and Cosmic Phenomena (4 papers), Medical Image Segmentation Techniques (3 papers) and AI in cancer detection (3 papers). Kevin Zhou collaborates with scholars based in United States, Germany and China. Kevin Zhou's co-authors include Ulrich Neumann, Qiangui Huang, Suya You, Qing‐Feng Sun, Shengli Sun, Tengchao Lv, Dorin Comaniciu, Philip Schuster, Jordan M. Horowitz and Jeremy L. England and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Medical Imaging and Journal of High Energy Physics.

In The Last Decade

Kevin Zhou

19 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin Zhou United States 11 186 168 80 48 45 19 425
Osama M. Abo-Seida Egypt 9 226 1.2× 71 0.4× 151 1.9× 4 0.1× 61 1.4× 35 440
M. Filho Portugal 11 118 0.6× 90 0.5× 32 0.4× 95 2.0× 40 0.9× 30 649
Gaurav Goswami India 18 201 1.1× 482 2.9× 13 0.2× 185 3.9× 19 0.4× 51 1.0k
Z. Zhou China 14 48 0.3× 64 0.4× 98 1.2× 349 7.3× 17 0.4× 53 649
S. R. Bhadra Chaudhuri India 10 49 0.3× 86 0.5× 17 0.2× 22 0.5× 39 0.9× 76 398
T. Whyntie United Kingdom 6 111 0.6× 124 0.7× 179 2.2× 31 0.6× 76 1.7× 10 408
Yongxing Du China 8 53 0.3× 118 0.7× 28 0.3× 5 0.1× 43 1.0× 37 402
Hyungjin Chung South Korea 10 75 0.4× 198 1.2× 327 4.1× 8 0.2× 126 2.8× 19 598
Hong Yu China 13 73 0.4× 115 0.7× 18 0.2× 121 2.5× 81 1.8× 59 749

Countries citing papers authored by Kevin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Zhou

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

All Works

19 of 19 papers shown
1.
Zhou, Kevin. (2025). Ponderomotive effects of ultralight dark matter. Journal of High Energy Physics. 2025(5). 1 indexed citations
2.
Berlin, Asher, Alexander J. Millar, Tanner Trickle, & Kevin Zhou. (2024). Physical signatures of fermion-coupled axion dark matter. Journal of High Energy Physics. 2024(5). 5 indexed citations
3.
Schuster, Philip, Natalia Toro, & Kevin Zhou. (2023). Interactions of particles with “continuous spin” fields. Journal of High Energy Physics. 2023(4). 11 indexed citations
4.
Berlin, Asher & Kevin Zhou. (2023). Discovering QCD-coupled axion dark matter with polarization haloscopes. Physical review. D. 108(3). 8 indexed citations
5.
Schuster, Philip, Natalia Toro, & Kevin Zhou. (2022). Probing invisible vector meson decays with the NA64 and LDMX experiments. Physical review. D. 105(3). 23 indexed citations
6.
Das, Anirban, Sebastian A. R. Ellis, Philip Schuster, & Kevin Zhou. (2022). Stellar Shocks from Dark Matter Asteroid Impacts. Physical Review Letters. 128(2). 21101–21101. 10 indexed citations
7.
Sun, Shengli, Qing‐Feng Sun, Kevin Zhou, & Tengchao Lv. (2019). Hierarchical Attention Prototypical Networks for Few-Shot Text Classification. 476–485. 74 indexed citations
8.
Wang, Qian, Fausto Milletarì, Hien Van Nguyen, et al.. (2019). Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. 4 indexed citations
9.
Wang, Qian, Fausto Milletarì, Hien Van Nguyen, et al.. (2019). Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. Lecture notes in computer science. 63 indexed citations
10.
Huang, Qiangui, Kevin Zhou, Suya You, & Ulrich Neumann. (2018). Learning to Prune Filters in Convolutional Neural Networks. 709–718. 95 indexed citations
11.
Horowitz, Jordan M., Kevin Zhou, & Jeremy L. England. (2017). Minimum energetic cost to maintain a target nonequilibrium state. Physical review. E. 95(4). 42102–42102. 27 indexed citations
12.
Horowitz, Jordan M., Kevin Zhou, & Jeremy L. England. (2017). Minimum energetic cost to maintain a target nonequilibrium state. Physical Review Letters. 8 indexed citations
13.
Huang, Qiangui, Weiyue Wang, Kevin Zhou, Suya You, & Ulrich Neumann. (2016). Scene Labeling using Recurrent Neural Networks with Explicit Long Range Contextual Dependency.. 1 indexed citations
14.
Wang, Qian, Le Lü, Dijia Wu, et al.. (2015). Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement. IEEE Transactions on Medical Imaging. 34(8). 1694–1704. 11 indexed citations
15.
Zhou, Kevin, et al.. (2012). Automatic fetal weight estimation using 3D ultrasonography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 83150I–83150I. 6 indexed citations
16.
Liu, David, et al.. (2012). Automatic detection of liver lesion from 3D computed tomography images. 4190. 31–37. 6 indexed citations
17.
Liu, David, Kevin Zhou, Dominik Bernhardt, & Dorin Comaniciu. (2010). Search strategies for multiple landmark detection by submodular maximization. 2831–2838. 34 indexed citations
18.
Zhang, Wei, et al.. (2009). Coronary Tree Extraction Using Motion Layer Separation. Lecture notes in computer science. 12(Pt 1). 116–123. 11 indexed citations
19.
Chen, Terrence, Wei Zhang, Sara V. Good, Kevin Zhou, & Dorin Comaniciu. (2009). Automatic ovarian follicle quantification from 3D ultrasound data using global/local context with database guided segmentation. 795–802. 27 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026