Ke Han

1.9k total citations
70 papers, 1.4k citations indexed

About

Ke Han is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Ke Han has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Electrical and Electronic Engineering and 10 papers in Computational Theory and Mathematics. Recurrent topics in Ke Han's work include Machine Learning in Bioinformatics (17 papers), Plasma Diagnostics and Applications (12 papers) and Electrohydrodynamics and Fluid Dynamics (10 papers). Ke Han is often cited by papers focused on Machine Learning in Bioinformatics (17 papers), Plasma Diagnostics and Applications (12 papers) and Electrohydrodynamics and Fluid Dynamics (10 papers). Ke Han collaborates with scholars based in China, Australia and United States. Ke Han's co-authors include Dong‐Jun Yu, Ping Xuan, Yahong Guo, Jian Ding, Jin Li, Hong‐Bin Shen, Jingyu Yang, Chunyu Wang, Maozu Guo and Jinbao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Ke Han

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ke Han China	19	922	449	159	119	106	70	1.4k
Zhenqiang Su United States	21	817 0.9×	244 0.5×	259 1.6×	131 1.1×	96 0.9×	47	1.5k
Thomas Wiese United States	27	795 0.9×	209 0.5×	222 1.4×	210 1.8×	98 0.9×	59	2.0k
Xiaogang Wu United States	22	874 0.9×	284 0.6×	216 1.4×	96 0.8×	74 0.7×	98	1.7k
Liang Yu China	30	1.5k 1.6×	266 0.6×	433 2.7×	170 1.4×	117 1.1×	103	2.3k
Cheng Yan China	20	909 1.0×	225 0.5×	520 3.3×	22 0.2×	87 0.8×	84	1.6k
Lihong Peng China	26	1.1k 1.2×	430 1.0×	388 2.4×	17 0.1×	79 0.7×	83	1.6k
Qiang Tang China	20	814 0.9×	359 0.8×	79 0.5×	46 0.4×	21 0.2×	82	1.3k
Ming Wen China	19	1.0k 1.1×	298 0.7×	621 3.9×	37 0.3×	61 0.6×	50	2.0k
Shao‐Wu Zhang China	31	2.5k 2.7×	762 1.7×	478 3.0×	180 1.5×	218 2.1×	142	3.1k

Countries citing papers authored by Ke Han

Since Specialization

Citations

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

Fields of papers citing papers by Ke Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Han

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Kai, Haoran Ma, Nan Wang, et al.. (2025). Laboratory Realization of Magnetopause‐Like Reconnection in Space Plasma Environment Research Facility (SPERF). Geophysical Research Letters. 52(20).

Li, Yifan, Xuewen Guo, Ke Han, et al.. (2025). Mulberry Leaves-Derived Carbon Dots for Photodynamic Treatment of Methicillin-Resistant Staphylococcus aureus-Infected Wounds via Metabolic Perturbation. ACS Applied Materials & Interfaces. 17(12). 18741–18758. 3 indexed citations

Liu, Wenyue, et al.. (2025). MNv3-MFAE: A Lightweight Network for Video Action Recognition. Electronics. 14(5). 981–981. 1 indexed citations

Ma, Qiang, Yuan Liu, Shiqi Chen, et al.. (2025). Disrupting cross-adaptation in high-risk MRSA: Sanguinarine as a multi-effective stress sensitizer for environmental and food safety. Journal of Hazardous Materials. 494. 138586–138586. 2 indexed citations

Chen, Shiqi, Yifan Li, Shuai Zhang, et al.. (2025). Multi-enzymatic biomimetic cerium‐based MOFs mediated precision chemodynamic synergistic antibacteria and tissue repair for MRSA-infected wounds. Journal of Nanobiotechnology. 23(1). 364–364. 3 indexed citations

Lu, Mingxia, Ke Han, Tiehan Li, et al.. (2024). Revealing the differences in aroma of black tea under different drying methods based on GC–MS, GC-O. Food Chemistry X. 23. 101782–101782. 14 indexed citations

Han, Ke, Jianchun Wang, Ying Chu, et al.. (2024). Deep learning based method for predicting DNA N6-methyladenosine sites. Methods. 230. 91–98. 2 indexed citations

Zhang, Yu, Qian Liao, Prayag Tiwari, et al.. (2024). MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug–target interaction. Future Generation Computer Systems. 160. 844–853. 3 indexed citations

Hu, Weijian, et al.. (2024). TSPLNet: a three-stage progressive lightweight network for shadow removal. Multimedia Systems. 31(1). 1 indexed citations

10.

Han, Ke, Tiehan Li, Yuming Wei, et al.. (2024). Identification of the causes of aroma differences in white tea under different withering methods by targeted metabolomics. Food Bioscience. 59. 104020–104020. 11 indexed citations

11.

Wang, Yu, Yu Zhang, Jianchun Wang, et al.. (2023). Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model. Computers in Biology and Medicine. 159. 106955–106955. 5 indexed citations

12.

Bai, Quan, Ke Han, Kai Dong, et al.. (2020). Potential Applications of Nanomaterials and Technology for Diabetic Wound Healing. SHILAP Revista de lepidopterología. 5 indexed citations

13.

Zhang, Zhengyu, Rong Li, Ke Han, et al.. (2019). Recurrence-related Factors of 46 Stage Ⅰ-Ⅱ Endometrial Carcinoma Patients. SHILAP Revista de lepidopterología.

14.

Khan, Nadeem, Chunmei Hu, Waleed Khan, et al.. (2018). Genome-wide Identification, Classification, and Expression Pattern of Homeobox Gene Family in Brassica rapa under Various Stresses. Scientific Reports. 8(1). 16265–16265. 33 indexed citations

15.

Han, Ke, et al.. (2017). Identification of DNA-Binding Proteins Using Mixed Feature Representation Methods. Molecules. 22(10). 1602–1602. 31 indexed citations

16.

Han, Ke, et al.. (2016). Protein–protein interaction sites prediction by ensembling SVM and sample-weighted random forests. Neurocomputing. 193. 201–212. 98 indexed citations

17.

Han, Ke, et al.. (2011). Effects of a new buffer magnetic circuit on preionization and discharge in a P70 Hall thruster. Journal of Propulsion Technology. 32(6). 823–827. 1 indexed citations

18.

Han, Ke, et al.. (2008). Effect of magnetic field in the ATON-type hall thruster buffer chamber on discharge current characteristics. International Conference on Electrical Machines and Systems. 940–943. 2 indexed citations

19.

Han, Ke. (2001). Extract Subject from Chinese Text with Three Different Levels. Zhongwen xinxi xuebao.

20.

Han, Ke. (2001). Research on Fast High-frequency Strings Extracting and Statistics Algorithm with no Thesaurus. Zhongwen xinxi xuebao. 3 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.

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