Ye Han

921 total citations
35 papers, 723 citations indexed

About

Ye Han is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ye Han has authored 35 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Ye Han's work include RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (4 papers) and Biometric Identification and Security (4 papers). Ye Han is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (4 papers) and Biometric Identification and Security (4 papers). Ye Han collaborates with scholars based in China, United States and South Korea. Ye Han's co-authors include Fei He, Martha C. Bohn, Young In Park, Zhihong Xu, Christina E. Khodr, Amanda Becerra, Kang Chong, Shilai Bao, Xin Wang and Yunyuan Xu and has published in prestigious journals such as The EMBO Journal, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Ye Han

32 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye Han China	13	332	229	219	121	105	35	723
Philippe Leone France	14	724 2.2×	198 0.9×	61 0.3×	148 1.2×	132 1.3×	27	1.2k
Daria Nikolaeva United States	9	277 0.8×	176 0.8×	223 1.0×	25 0.2×	15 0.1×	9	688
Wayne Volkmuth United States	12	368 1.1×	123 0.5×	127 0.6×	113 0.9×	16 0.2×	23	749
Jennifer Oki United States	5	1.2k 3.7×	135 0.6×	91 0.4×	123 1.0×	55 0.5×	5	1.5k
Dieter Haustein Germany	27	438 1.3×	370 1.6×	87 0.4×	157 1.3×	56 0.5×	68	2.3k
Lionel Tafforeau Belgium	18	1.0k 3.0×	192 0.8×	82 0.4×	86 0.7×	16 0.2×	27	1.4k
Jiao Xu China	23	923 2.8×	99 0.4×	87 0.4×	848 7.0×	93 0.9×	62	1.5k
Sylvia Ho Canada	12	308 0.9×	70 0.3×	37 0.2×	53 0.4×	19 0.2×	16	963
M Dezfulian United States	13	239 0.7×	209 0.9×	69 0.3×	73 0.6×	13 0.1×	28	709
Martijn Vos Netherlands	15	237 0.7×	307 1.3×	497 2.3×	13 0.1×	27 0.3×	35	890

Countries citing papers authored by Ye Han

Since Specialization

Citations

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

Fields of papers citing papers by Ye Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Han

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

Han, Ye, et al.. (2025). A data-driven approach for real-time soft tissue deformation prediction using nonlinear presurgical simulations. PLoS ONE. 20(4). e0319196–e0319196.

Han, Ye, et al.. (2025). Therapeutic Mechanisms of Medicine Food Homology Plants in Alzheimer’s Disease: Insights from Network Pharmacology, Machine Learning, and Molecular Docking. International Journal of Molecular Sciences. 26(5). 2121–2121. 2 indexed citations

Vicory, Jared, Ye Han, Juan Carlos Prieto, et al.. (2023). SlicerSALT: From Medical Images to Quantitative Insights of Anatomy. Lecture notes in computer science. 14350. 201–210.

Han, Ye, et al.. (2023). Hierarchical Geodesic Polynomial Model for Multilevel Analysis of Longitudinal Shape. Lecture notes in computer science. 13939. 810–821. 1 indexed citations

Han, Ye, Simin Zhang, & Fei He. (2023). A Point Cloud-Based Deep Learning Model for Protein Docking Decoys Evaluation. Mathematics. 11(8). 1817–1817. 4 indexed citations

Chen, Yongbing, et al.. (2023). MTNA: A deep learning based predictor for identifying multiple types of N-terminal protein acetylated sites. Electronic Research Archive. 31(9). 5442–5456.

Vicory, Jared, et al.. (2022). Statistical Shape Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome. Lecture notes in computer science. 13131. 132–140. 6 indexed citations

Vicory, Jared, et al.. (2022). Skeletal Model-Based Analysis of the Tricuspid Valve in Hypoplastic Left Heart Syndrome. Lecture notes in computer science. 13593. 258–268. 1 indexed citations

He, Fei, Jingyi Li, Rui Wang, Xiaowei Zhao, & Ye Han. (2021). An Ensemble Deep Learning based Predictor for Simultaneously Identifying Protein Ubiquitylation and SUMOylation Sites. BMC Bioinformatics. 22(1). 519–519. 4 indexed citations

10.

Han, Ye, et al.. (2021). Quality Assessment of Protein Docking Models Based on Graph Neural Network. Frontiers in Bioinformatics. 1. 693211–693211. 7 indexed citations

11.

Han, Ye, Yoed Rabin, & Levent Burak Kara. (2019). Soft tissue deformation tracking by means of an optimized fiducial marker layout with application to cancer tumors. International Journal of Computer Assisted Radiology and Surgery. 15(2). 225–237. 2 indexed citations

12.

Han, Ye, Fei He, Yongbing Chen, Yuanning Liu, & Helong Yu. (2018). SiRNA silencing efficacy prediction based on a deep architecture. BMC Genomics. 19(S7). 669–669. 20 indexed citations

13.

He, Fei, et al.. (2017). Predicting siRNA efficacy based on multiple selective siRNA representations and their combination at score level. Scientific Reports. 7(1). 44836–44836. 20 indexed citations

14.

Khodr, Christina E., Amanda Becerra, Ye Han, & Martha C. Bohn. (2014). Targeting alpha-synuclein with a microRNA-embedded silencing vector in the rat substantia nigra: Positive and negative effects. Brain Research. 1550. 47–60. 45 indexed citations

15.

Wang, Xin, et al.. (2004). Wheat RAN1 affects microtubules integrity and nucleocytoplasmic transport in fission yeast system. Zhiwu xuebao. 46(8). 940–947. 4 indexed citations

16.

Ahn, Byung-Yoon, et al.. (2003). Association of hepatitis B virus polymerase with promyelocytic leukemia nuclear bodies mediated by the S100 family protein p11. Biochemical and Biophysical Research Communications. 305(4). 1049–1056. 29 indexed citations

17.

Park, Young In, et al.. (2002). Expression of the active human and duck hepatitis B virus polymerases in heterologous system of Pichia methanolica. Antiviral Research. 55(2). 279–290. 18 indexed citations

18.

Lim, Jae Hwan, Kwang Yeon Hwang, Byung-Yoon Ahn, et al.. (2001). Mutational Effects on Thermostable Superoxide Dismutase from Aquifex pyrophilus: Understanding the Molecular Basis of Protein Thermostability. Biochemical and Biophysical Research Communications. 288(1). 263–268. 19 indexed citations

19.

Chung, Ji Hyung, Moo‐Jin Suh, Young In Park, John A. Tainer, & Ye Han. (2001). Repair activities of 8-oxoguanine DNA glycosylase from Archaeoglobus fulgidus, a hyperthermophilic archaeon. Mutation Research/DNA Repair. 486(2). 99–111. 22 indexed citations

20.

Han, Ye. (2000). Molecular interactions between Anopheles stephensi midgut cells and Plasmodium berghei: the time bomb theory of ookinete invasion of mosquitoes. The EMBO Journal. 19(22). 6030–6040. 309 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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