Kun He

1.6k total citations
16 papers, 768 citations indexed

About

Kun He is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Spectroscopy. According to data from OpenAlex, Kun He has authored 16 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Molecular Biology and 5 papers in Spectroscopy. Recurrent topics in Kun He's work include Advanced Proteomics Techniques and Applications (5 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Kun He is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Kun He collaborates with scholars based in China, United States and Canada. Kun He's co-authors include Stan Sclaroff, Fatih Çakir, Kate Saenko, Huijuan Xu, Leonid Sigal, Bryan A. Plummer, Brian Kulis, Xide Xia, Sarah Adel Bargal and Chunheng Wang and has published in prestigious journals such as Bioinformatics, Pattern Recognition and Journal of Proteome Research.

In The Last Decade

Kun He

15 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun He China 11 503 184 163 132 46 16 768
Qing Du China 12 295 0.6× 286 1.6× 84 0.5× 54 0.4× 15 0.3× 43 664
Yinglei Song China 9 97 0.2× 76 0.4× 140 0.9× 37 0.3× 15 0.3× 61 303
Stanisław Jastrzȩbski Poland 8 167 0.3× 320 1.7× 78 0.5× 14 0.1× 13 0.3× 21 519
King Wai Lau United Kingdom 11 51 0.1× 110 0.6× 282 1.7× 154 1.2× 13 0.3× 20 581
Eugene Ie United States 15 353 0.7× 384 2.1× 324 2.0× 19 0.1× 12 0.3× 23 894
András Kocsor Hungary 12 155 0.3× 327 1.8× 153 0.9× 17 0.1× 11 0.2× 47 609
Yingke Lei China 12 102 0.2× 100 0.5× 420 2.6× 10 0.1× 22 0.5× 24 685
De-Shuang Huang China 17 234 0.5× 261 1.4× 663 4.1× 12 0.1× 46 1.0× 36 1.0k
Manish Chowdhury India 12 349 0.7× 313 1.7× 20 0.1× 26 0.2× 104 2.3× 26 619

Countries citing papers authored by Kun He

Since Specialization
Citations

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

Fields of papers citing papers by Kun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun He

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

All Works

16 of 16 papers shown
1.
He, Kun, et al.. (2022). Null-free False Discovery Rate Control Using Decoy Permutations. Acta Mathematicae Applicatae Sinica English Series. 38(2). 235–253. 3 indexed citations
3.
Xu, Huijuan, Kun He, Bryan A. Plummer, et al.. (2019). Multilevel Language and Vision Integration for Text-to-Clip Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 9062–9069. 192 indexed citations
4.
Çakir, Fatih, Kun He, Xide Xia, Brian Kulis, & Stan Sclaroff. (2019). Deep Metric Learning to Rank. OpenBU (Boston University). 1861–1870. 153 indexed citations
5.
Xu, Huijuan, Kun He, Leonid Sigal, Stan Sclaroff, & Kate Saenko. (2018). Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning.. arXiv (Cornell University). 8 indexed citations
6.
He, Kun, Fatih Çakir, Sarah Adel Bargal, & Stan Sclaroff. (2018). Hashing as Tie-Aware Learning to Rank. 4023–4032. 51 indexed citations
8.
Shi, Cunzhao, et al.. (2017). Degraded document image binarization using structural symmetry of strokes. Pattern Recognition. 74. 225–240. 66 indexed citations
9.
Shi, Cunzhao, et al.. (2017). Fisher vector for scene character recognition: A comprehensive evaluation. Pattern Recognition. 72. 1–14. 22 indexed citations
10.
Çakir, Fatih, Kun He, Sarah Adel Bargal, & Stan Sclaroff. (2017). MIHash: Online Hashing with Mutual Information. OpenBU/Boston University Institutional Repository (Boston University). 437–445. 66 indexed citations
11.
Yang, Hao, Hao Chi, Wenjing Zhou, et al.. (2016). Open-pNovo: De Novo Peptide Sequencing with Thousands of Protein Modifications. Journal of Proteome Research. 16(2). 645–654. 26 indexed citations
12.
Chi, Hao, Kun He, Bing Yang, et al.. (2015). Reprint of “pFind–Alioth: A novel unrestricted database search algorithm to improve the interpretation of high-resolution MS/MS data”. Journal of Proteomics. 129. 33–41. 5 indexed citations
13.
Chi, Hao, Kun He, Bing Yang, et al.. (2015). pFind–Alioth: A novel unrestricted database search algorithm to improve the interpretation of high-resolution MS/MS data. Journal of Proteomics. 125. 89–97. 51 indexed citations
14.
Zhang, Kun, Yan Fu, Wenfeng Zeng, et al.. (2015). A note on the false discovery rate of novel peptides in proteogenomics. Bioinformatics. 31(20). 3249–3253. 28 indexed citations
15.
He, Kun, et al.. (2015). Generalized Majorization-Minimization. arXiv (Cornell University). 5022–5031. 5 indexed citations
16.
Chi, Hao, Haifeng Chen, Kun He, et al.. (2012). pNovo+: De Novo Peptide Sequencing Using Complementary HCD and ETD Tandem Mass Spectra. Journal of Proteome Research. 12(2). 615–625. 78 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