Hsin‐Yi Chen

1.0k total citations
29 papers, 621 citations indexed

About

Hsin‐Yi Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Hsin‐Yi Chen has authored 29 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 5 papers in Immunology. Recurrent topics in Hsin‐Yi Chen's work include Computational Drug Discovery Methods (9 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Plant biochemistry and biosynthesis (3 papers). Hsin‐Yi Chen is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Plant biochemistry and biosynthesis (3 papers). Hsin‐Yi Chen collaborates with scholars based in Taiwan, China and United States. Hsin‐Yi Chen's co-authors include Calvin Yu‐Chian Chen, Kuan‐Chung Chen, Calvin Yu‐Chian Chen, Dorothea Tholl, Wolf B. Frommer, Li‐Qing Chen, Woei‐Jiun Guo, Jung‐Hyun Huh, Ya‐Chi Yu and Qiujie Lv and has published in prestigious journals such as Scientific Reports, The Plant Journal and The Journal of Physical Chemistry Letters.

In The Last Decade

Hsin‐Yi Chen

28 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsin‐Yi Chen Taiwan 15 203 182 118 81 58 29 621
Ajantha Sinniah Malaysia 14 261 1.3× 48 0.3× 20 0.2× 35 0.4× 52 0.9× 21 573
John C. Boik United States 8 262 1.3× 154 0.8× 31 0.3× 46 0.6× 53 0.9× 12 628
Zhuolun Li China 12 250 1.2× 26 0.1× 18 0.2× 55 0.7× 27 0.5× 40 504
Dong Yue Canada 4 462 2.3× 56 0.3× 73 0.6× 15 0.2× 42 0.7× 6 695
Onur Sumer Canada 3 410 2.0× 50 0.3× 73 0.6× 14 0.2× 42 0.7× 3 603
Kun‐Yi Hsin Japan 9 538 2.7× 42 0.2× 156 1.3× 89 1.1× 109 1.9× 14 884
Serge Eifes Luxembourg 12 635 3.1× 37 0.2× 37 0.3× 21 0.3× 112 1.9× 13 1.0k
Jacopo Tagliabue Italy 11 102 0.5× 127 0.7× 8 0.1× 31 0.4× 22 0.4× 31 553
Jin Cao China 17 451 2.2× 242 1.3× 14 0.1× 39 0.5× 74 1.3× 54 995

Countries citing papers authored by Hsin‐Yi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Yi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Yi Chen. 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 Hsin‐Yi Chen. The network helps show where Hsin‐Yi Chen may publish in the future.

Co-authorship network of co-authors of Hsin‐Yi Chen

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

All Works

20 of 20 papers shown
1.
2.
Wu, Guojin, et al.. (2024). Galectin 7 leads to a relative reduction in CD4+ T cells, mediated by PD-1. Scientific Reports. 14(1). 6625–6625. 5 indexed citations
3.
Zhao, Lu, Weihe Zhong, Hsin‐Yi Chen, et al.. (2020). Insight into potent leads for alzheimer's disease by using several artificial intelligence algorithms. Biomedicine & Pharmacotherapy. 129. 110360–110360. 16 indexed citations
4.
Chen, Hsin‐Yi, Jianqiang Chen, Junyan Li, et al.. (2019). Deep Learning and Random Forest Approach for Finding the Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer’s Disease. Journal of Chemical Information and Modeling. 59(4). 1605–1623. 33 indexed citations
5.
Chen, Jianqiang, et al.. (2019). Artificial Intelligence Approach to Find Lead Compounds for Treating Tumors. The Journal of Physical Chemistry Letters. 10(15). 4382–4400. 34 indexed citations
6.
Lv, Qiujie, et al.. (2019). A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification. IEEE Journal of Translational Engineering in Health and Medicine. 8. 1–11. 34 indexed citations
7.
Li, Junyan, et al.. (2019). Artificial Intelligence Approach To Investigate the Longevity Drug. The Journal of Physical Chemistry Letters. 10(17). 4947–4961. 14 indexed citations
8.
Chen, Hsin‐Yi, et al.. (2018). A Network Pharmacology‐Based Approach to Investigate the Novel TCM Formula against Huntington’s Disease and Validated by Support Vector Machine Model. Evidence-based Complementary and Alternative Medicine. 2018(1). 6020197–6020197. 15 indexed citations
9.
Huang, Hung-Jin, Hsin‐Yi Chen, Cheng-Chun Lee, & Calvin Yu‐Chian Chen. (2014). Computational Design of Apolipoprotein E4 Inhibitors for Alzheimer’s Disease Therapy from Traditional Chinese Medicine. BioMed Research International. 2014. 1–13. 12 indexed citations
10.
Chen, Kuan‐Chung, Wen‐Yuan Lee, Hsin‐Yi Chen, & Calvin Yu‐Chian Chen. (2014). In SilicoInvestigation of Potential TRAF6 Inhibitor from Traditional Chinese Medicine against Cancers. BioMed Research International. 2014. 1–14. 3 indexed citations
11.
Chen, Kuan‐Chung, Mao-Feng Sun, Hsin‐Yi Chen, Cheng-Chun Lee, & Calvin Yu‐Chian Chen. (2014). Potential Smoothened Inhibitor from Traditional Chinese Medicine against the Disease of Diabetes, Obesity, and Cancer. BioMed Research International. 2014. 1–12. 9 indexed citations
12.
Lee, Wen‐Yuan, Hsin‐Yi Chen, Kuan‐Chung Chen, & Calvin Yu‐Chian Chen. (2014). Treatment of Rheumatoid Arthritis with Traditional Chinese Medicine. BioMed Research International. 2014. 1–11. 31 indexed citations
13.
Chen, Kuen‐Bao, Hsin‐Yi Chen, Kuan‐Chung Chen, & Calvin Yu‐Chian Chen. (2014). Treatment of Cardiovascular Disease by Traditional Chinese Medicine against Pregnane X Receptor. BioMed Research International. 2014. 1–17. 18 indexed citations
14.
Lee, Wen‐Yuan, Kuan‐Chung Chen, Hsin‐Yi Chen, & Calvin Yu‐Chian Chen. (2014). Potential Mitochondrial Isocitrate Dehydrogenase R140Q Mutant Inhibitor from Traditional Chinese Medicine against Cancers. BioMed Research International. 2014. 1–10. 11 indexed citations
15.
Chen, Hsin‐Yi, et al.. (2013). Discovery of novel insomnia leads from screening traditional Chinese medicine database. Journal of Biomolecular Structure and Dynamics. 32(5). 776–791. 22 indexed citations
16.
Liang, Ting‐Peng, et al.. (2012). Effect of Personalization on the Perceived Usefulness of Online Customer Services: A Dual-Core Theory. Journal of electronic commerce research. 13(4). 275–288. 30 indexed citations
17.
Shih, Chi‐Sheng & Hsin‐Yi Chen. (2012). Distributed service recovery for real-time pub/sub services on disaster management. Wireless Personal Multimedia Communications. 494–499. 2 indexed citations
18.
Chen, Kuan‐Chung, Kai‐Wei Chang, Hsin‐Yi Chen, & Calvin Yu‐Chian Chen. (2011). Traditional Chinese medicine, a solution for reducing dual stroke risk factors at once?. Molecular BioSystems. 7(9). 2711–2719. 39 indexed citations
19.
Chen, Hsin‐Yi, et al.. (2010). Capacity Approaching Run-Length-Limited Codes for Multilevel Recording Systems. IEEE Transactions on Magnetics. 46(1). 95–104. 6 indexed citations
20.
Liang, Ting‐Peng, Hsin‐Yi Chen, & Efraim Turban. (2009). Effect of personalization on the perceived usefulness of online customer services. 279–288. 25 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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