Shan He

3.1k total citations
121 papers, 2.1k citations indexed

About

Shan He is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Shan He has authored 121 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 22 papers in Artificial Intelligence and 18 papers in Computational Theory and Mathematics. Recurrent topics in Shan He's work include Bioinformatics and Genomic Networks (18 papers), Computational Drug Discovery Methods (13 papers) and Gene Regulatory Network Analysis (13 papers). Shan He is often cited by papers focused on Bioinformatics and Genomic Networks (18 papers), Computational Drug Discovery Methods (13 papers) and Gene Regulatory Network Analysis (13 papers). Shan He collaborates with scholars based in China, United Kingdom and United States. Shan He's co-authors include Min Li, Zexuan Zhu, Deming Wang, Zhen Ji, Xin Yao, Yiwen Sun, Zhenlu Shao, Hetang Wang, Mark R. Viant and Shangfei Wang and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Shan He

113 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shan He China	26	565	451	267	250	174	121	2.1k
Yanping Zhang China	28	285 0.5×	745 1.7×	383 1.4×	221 0.9×	57 0.3×	184	2.6k
Nicola L. C. Talbot United Kingdom	13	314 0.6×	824 1.8×	404 1.5×	115 0.5×	53 0.3×	32	2.7k
Muhammad Hisyam Lee Malaysia	28	301 0.5×	557 1.2×	186 0.7×	222 0.9×	549 3.2×	153	3.5k
Quan Quan China	36	305 0.5×	384 0.9×	821 3.1×	111 0.4×	49 0.3×	245	4.4k
Michael Mitzenmacher United States	16	761 1.3×	1.0k 2.2×	461 1.7×	322 1.3×	36 0.2×	31	3.9k
Vojislav Kecman New Zealand	22	206 0.4×	695 1.5×	456 1.7×	124 0.5×	44 0.3×	83	2.5k
Yunqian Ma United States	15	148 0.3×	1.0k 2.3×	417 1.6×	134 0.5×	100 0.6×	46	3.4k
Markus Svensén United Kingdom	12	180 0.3×	756 1.7×	527 2.0×	168 0.7×	70 0.4×	16	2.1k
Min Liu China	29	107 0.2×	308 0.7×	1.0k 3.8×	57 0.2×	213 1.2×	226	3.2k
Chunyan Wang China	32	257 0.5×	172 0.4×	109 0.4×	120 0.5×	38 0.2×	181	2.9k

Countries citing papers authored by Shan He

Since Specialization

Citations

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

Fields of papers citing papers by Shan He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan He

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

Liu, Chengxiang, et al.. (2025). Research on the Heavy Gas Action Characteristics of BF Type Double Float Ball Gas Relay Under Transient Oil Flow Impact. Energies. 18(4). 945–945. 1 indexed citations

Yu, Qiang, Shan He, Junjie Zhang, et al.. (2025). Two-Dimensional VCl Nanoplates with Superparamagnetic Behavior over a Wide Temperature Range. Nano Letters. 25(38). 14051–14059.

Zheng, Yifeng, et al.. (2025). Sn9C15 monolayer with desirable bandgap, high carrier mobilities, and broadband light absorption for photovoltaic devices. The Journal of Chemical Physics. 162(13). 2 indexed citations

Wang, Yan, et al.. (2024). MIFuGP: Boolean network inference from multivariate time series using fuzzy genetic programming. Information Sciences. 680. 121129–121129.

Wang, Jingxuan, Peng Li, Di Xue, et al.. (2024). Phylogenomic analysis uncovers an unexpected capacity for the biosynthesis of secondary metabolites in Pseudoalteromonas. European Journal of Medicinal Chemistry. 279. 116840–116840. 1 indexed citations

Li, Peng, et al.. (2024). Discovery of New Compound Comazaphilone I from Mycolicibacterium aurum. Chemistry of Natural Compounds. 60(5). 831–834. 1 indexed citations

McDonald, David W., et al.. (2024). MEF-AlloSite: an accurate and robust Multimodel Ensemble Feature selection for the Allosteric Site identification model. Journal of Cheminformatics. 16(1). 116–116. 6 indexed citations

He, Shan, et al.. (2024). Comparative effects of open-skill and closed-skill sports on executive function in university students: a 16-week quasi-experimental study. Frontiers in Psychology. 15. 1457449–1457449. 1 indexed citations

Sun, Shanshan, Ying Liang, Skye Hung‐Chun Cheng, et al.. (2024). Fully Automated Online Adaptive Radiotherapy Decision Making for Cervical Cancer Using Artificial Intelligence. International Journal of Radiation Oncology*Biology*Physics. 120(2). e190–e190.

10.

Lü, Shun, Qing Zhou, Xiaoqing Liu, et al.. (2024). Updated Efficacy and Safety of Lorlatinib in a Phase 2 Study in Chinese Patients With Previously Treated Advanced ALK‐Positive Non‐small Cell Lung Cancer. Clinical Lung Cancer. 25(7). e295–e303.e4. 2 indexed citations

11.

Lin, Qiuzhen, Junkai Ji, Wei Zhou, et al.. (2024). A Survey on Evolutionary Computation-Based Drug Discovery. IEEE Transactions on Evolutionary Computation. 29(3). 676–696. 3 indexed citations

12.

Yue, Yang, Shu Li, Yihua Cheng, et al.. (2024). Integration of molecular coarse-grained model into geometric representation learning framework for protein-protein complex property prediction. Nature Communications. 15(1). 9629–9629. 5 indexed citations

13.

He, Shan, et al.. (2024). Model of safety investment optimization in chemical industrial parks based on system dynamics. Reliability Engineering & System Safety. 256. 110761–110761. 2 indexed citations

14.

He, Shan, et al.. (2023). Perturbation-Based Two-Stage Multi-Domain Active Learning. University of Birmingham Research Portal (University of Birmingham). 3933–3937. 1 indexed citations

15.

Yang, Minghao, Zhi-An Huang, Wei Zhou, et al.. (2023). MIX-TPI: a flexible prediction framework for TCR–pMHC interactions based on multimodal representations. Bioinformatics. 39(8). 7 indexed citations

16.

Zhou, Wei, et al.. (2023). MDTL-ACP: Anticancer Peptides Prediction Based on Multi-Domain Transfer Learning. IEEE Journal of Biomedical and Health Informatics. 29(3). 1714–1725. 5 indexed citations

17.

He, Shan, et al.. (2020). GloDyNE: Global Topology Preserving Dynamic Network Embedding. IEEE Transactions on Knowledge and Data Engineering. 34(10). 4826–4837. 23 indexed citations

18.

Dekkers, Susan, Tim Williams, Jinkang Zhang, et al.. (2018). Multi-omics approaches confirm metal ions mediate the main toxicological pathways of metal-bearing nanoparticles in lung epithelial A549 cells. Environmental Science Nano. 5(6). 1506–1517. 37 indexed citations

19.

Jansen, Jan O., et al.. (2014). Optimizing trauma system design. The Journal of Trauma: Injury, Infection, and Critical Care. 76(4). 1035–1040. 24 indexed citations

20.

Zhou, Ping, et al.. (2013). A Hybrid Invasive Weed Optimization with Feasibility-Based Rule for Constrained Optimization Problem. PRZEGLĄD ELEKTROTECHNICZNY. 160–167. 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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