Shiyi Shen

46 total papers · 639 total citations
31 papers, 498 citations indexed

About

Shiyi Shen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Shiyi Shen has authored 31 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 7 papers in Artificial Intelligence. Recurrent topics in Shiyi Shen's work include Protein Structure and Dynamics (8 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (6 papers). Shiyi Shen is often cited by papers focused on Protein Structure and Dynamics (8 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (6 papers). Shiyi Shen collaborates with scholars based in China, Canada and United States. Shiyi Shen's co-authors include Jishou Ruan, Lukasz Kurgan, Tuo Zhang, Ke Chen, Fang‐Wei Fu, Hua Zhang, Hua Zhang, A. J. Han Vinck, Hua Zhang and Jianzhao Gao and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and BMC Bioinformatics.

In The Last Decade

Shiyi Shen

27 papers receiving 486 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shiyi Shen	377	113	94	89	64	31	498
Xiaofeng Wang	335 0.9×	408 3.6×	60 0.6×	176 2.0×	13 0.2×	20	542
Christopher H. Bryant	234 0.6×	86 0.8×	182 1.9×	51 0.6×	16 0.3×	16	496
Jiří Filipovič	281 0.7×	89 0.8×	22 0.2×	68 0.8×	46 0.7×	40	555
Jian Guo	310 0.8×	55 0.5×	53 0.6×	23 0.3×	62 1.0×	23	479
Søren Riis	168 0.4×	201 1.8×	242 2.6×	26 0.3×	46 0.7×	54	534
Yongjian Li	284 0.8×	234 2.1×	42 0.4×	100 1.1×	17 0.3×	43	518
Concettina Guerra	257 0.7×	92 0.8×	63 0.7×	49 0.6×	19 0.3×	38	453
Bruce S. Duncan	277 0.7×	106 0.9×	44 0.5×	133 1.5×	8 0.1×	15	451
Jaechang Lim	347 0.9×	389 3.4×	36 0.4×	235 2.6×	53 0.8×	20	598
Kedi Wu	237 0.6×	346 3.1×	27 0.3×	128 1.4×	72 1.1×	20	489

Countries citing papers authored by Shiyi Shen

Since Specialization

Citations

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

Fields of papers citing papers by Shiyi Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyi Shen

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

All Works

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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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