Hongyu Kang

33 total papers · 625 total citations
15 papers, 157 citations indexed

About

Hongyu Kang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Hongyu Kang has authored 15 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in Hongyu Kang's work include Biomedical Text Mining and Ontologies (4 papers), Computational Drug Discovery Methods (4 papers) and Bioinformatics and Genomic Networks (3 papers). Hongyu Kang is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Computational Drug Discovery Methods (4 papers) and Bioinformatics and Genomic Networks (3 papers). Hongyu Kang collaborates with scholars based in China, United States and Taiwan. Hongyu Kang's co-authors include Jiao Li, Wen-Tsuen Chen, Shan-Hsiang Shen, De-Nian Yang, Jian-Jhih Kuo, Ming‐Jer Tsai, Li Hou, Si Zheng, Qin Li and Xiao Ting Lu and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Molecules.

In The Last Decade

Hongyu Kang

15 papers receiving 156 citations

Author Peers

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

Author						Papers	Cites
Hongyu Kang	47	46	26	20	17	15	157
Christian Hundt	46 1.0×	70 1.5×	20 0.8×	60 3.0×	8 0.5×	25	228
Joshua L. Levy	80 1.7×	58 1.3×	6 0.2×	29 1.4×	66 3.9×	17	259
Albert Gu	20 0.4×	26 0.6×	22 0.8×	78 3.9×	5 0.3×	20	168
Hoa T. Vu	25 0.5×	74 1.6×	24 0.9×	27 1.4×	2 0.1×	16	188
Fabien de Montgolfier	48 1.0×	15 0.3×	75 2.9×	25 1.3×	11 0.6×	17	130
Shengjun Li	8 0.2×	76 1.7×	12 0.5×	58 2.9×	51 3.0×	19	190
Vida Ravanmehr	15 0.3×	106 2.3×	21 0.8×	54 2.7×	52 3.1×	15	162
David R. Penas	21 0.4×	92 2.0×	30 1.2×	61 3.0×	12 0.7×	16	178
Hal Sudborough	39 0.8×	49 1.1×	32 1.2×	56 2.8×	68 4.0×	11	130
Gregory J. Puleo	22 0.5×	86 1.9×	69 2.7×	82 4.1×	11 0.6×	23	202

Countries citing papers authored by Hongyu Kang

Since Specialization

Citations

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

Fields of papers citing papers by Hongyu Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyu Kang

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