Chaokun Yan

838 total citations
53 papers, 532 citations indexed

About

Chaokun Yan is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Chaokun Yan has authored 53 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Artificial Intelligence and 13 papers in Computational Theory and Mathematics. Recurrent topics in Chaokun Yan's work include Bioinformatics and Genomic Networks (15 papers), Computational Drug Discovery Methods (13 papers) and Gene expression and cancer classification (12 papers). Chaokun Yan is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Computational Drug Discovery Methods (13 papers) and Gene expression and cancer classification (12 papers). Chaokun Yan collaborates with scholars based in China and Australia. Chaokun Yan's co-authors include Huimin Luo, Junwei Luo, Jianlin Wang, Jingjing Ma, Ge Zhang, Ge Zhang, Wenjuan Liang, Wenxiu Wang, Ge ZHANG and Ge Zhang and has published in prestigious journals such as Scientific Reports, BMC Bioinformatics and BMC Genomics.

In The Last Decade

Chaokun Yan

46 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chaokun Yan China	13	262	236	115	65	35	53	532
Haixia Long China	13	194 0.7×	136 0.6×	67 0.6×	69 1.1×	18 0.5×	45	536
Yuanting Yan China	12	209 0.8×	229 1.0×	101 0.9×	49 0.8×	40 1.1×	35	507
De Huang China	11	246 0.9×	173 0.7×	94 0.8×	150 2.3×	12 0.3×	20	588
Zhili Pei China	9	125 0.5×	189 0.8×	36 0.3×	70 1.1×	68 1.9×	30	497
Feng Chu Singapore	7	225 0.9×	220 0.9×	32 0.3×	122 1.9×	37 1.1×	9	484
Rasmita Dash India	12	108 0.4×	251 1.1×	25 0.2×	73 1.1×	43 1.2×	45	430
Nadia Bolshakova Ireland	8	254 1.0×	240 1.0×	29 0.3×	82 1.3×	53 1.5×	12	524
M. Skolnick United States	9	131 0.5×	147 0.6×	142 1.2×	40 0.6×	12 0.3×	28	496
Aftab Ahmed Pakistan	11	161 0.6×	117 0.5×	45 0.4×	142 2.2×	36 1.0×	25	509

Countries citing papers authored by Chaokun Yan

Since Specialization

Citations

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

Fields of papers citing papers by Chaokun Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaokun Yan

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

Luo, Huimin, et al.. (2025). KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning. Frontiers in Pharmacology. 16. 1525029–1525029.

Yan, Chaokun, et al.. (2025). ResDeepGS: A deep learning-based method for crop phenotype prediction. Methods. 244. 65–74. 1 indexed citations

Wang, Junfeng, Jingjing Wei, Chaokun Yan, et al.. (2025). CGLoop: a neural network framework for chromatin loop prediction. BMC Genomics. 26(1). 342–342.

Yan, Chaokun, et al.. (2024). DP-SSLoRA: A privacy-preserving medical classification model combining differential privacy with self-supervised low-rank adaptation. Computers in Biology and Medicine. 179. 108792–108792. 4 indexed citations

Zhang, Ge, Chaokun Yan, Jianlin Wang, et al.. (2024). MPASL: multi-perspective learning knowledge graph attention network for synthetic lethality prediction in human cancer. Frontiers in Pharmacology. 15. 1398231–1398231. 1 indexed citations

Luo, Huimin, Chunli Zhu, Jianlin Wang, et al.. (2024). Prediction of drug–disease associations based on reinforcement symmetric metric learning and graph convolution network. Frontiers in Pharmacology. 15. 1337764–1337764. 5 indexed citations

Luo, Huimin, Jianlin Wang, Ge Zhang, et al.. (2024). Drug-drug interactions prediction based on deep learning and knowledge graph: A review. iScience. 27(3). 109148–109148. 28 indexed citations

Luo, Junwei, et al.. (2023). SLHSD: hybrid scaffolding method based on short and long reads. Briefings in Bioinformatics. 24(3).

Zhang, Ge, Zhijie Gao, Chaokun Yan, et al.. (2023). KGANSynergy: knowledge graph attention network for drug synergy prediction. Briefings in Bioinformatics. 24(3). 20 indexed citations

10.

Zhang, Ge, et al.. (2022). MultiGATAE: A Novel Cancer Subtype Identification Method Based on Multi-Omics and Attention Mechanism. Frontiers in Genetics. 13. 855629–855629. 11 indexed citations

11.

Peng, Zhen, et al.. (2022). A novel liver cancer diagnosis method based on patient similarity network and DenseGCN. Scientific Reports. 12(1). 6797–6797. 17 indexed citations

12.

Wang, Jianlin, Wenxiu Wang, Chaokun Yan, Junwei Luo, & Ge Zhang. (2021). Predicting Drug-Disease Association Based on Ensemble Strategy. Frontiers in Genetics. 12. 666575–666575. 16 indexed citations

13.

Luo, Junwei, et al.. (2021). BreakNet: detecting deletions using long reads and a deep learning approach. BMC Bioinformatics. 22(1). 577–577. 11 indexed citations

14.

Zhang, Ge, et al.. (2020). Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm. Interdisciplinary Sciences Computational Life Sciences. 12(3). 288–301. 66 indexed citations

15.

Luo, Junwei, et al.. (2020). LROD: An Overlap Detection Algorithm for Long Reads Based on k-mer Distribution. Frontiers in Genetics. 11. 632–632. 1 indexed citations

16.

Yan, Chaokun, et al.. (2019). BiRWDDA: A Novel Drug Repositioning Method Based on Multisimilarity Fusion. Journal of Computational Biology. 26(11). 1230–1242. 16 indexed citations

17.

Luo, Huimin, Chaokun Yan, & Zhigang Hu. (2015). An Enhanced Workflow Scheduling Strategy for Deadline Guarantee on Hybrid Grid/Cloud Infrastructure. Journal of Applied Science and Engineering. 18(1). 67–78. 5 indexed citations

18.

Yan, Chaokun, Zhigang Hu, Xi Li, & Huimin Luo. (2013). Reliability-Cost Optimization Scheduling Model and Algorithm in Grid. 40(3). 136–141. 1 indexed citations

19.

Yan, Chaokun. (2012). Resource Load Balancing Method for Energy-consumption Reducing in Cloud Environment. Jisuanji gongcheng. 2 indexed citations

20.

Yan, Chaokun. (2004). Rearch on Modern Collaborative Design Based on Grid. Journal of Central South University of Technology(Natural Science).

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