Chao‐Kun Cheng

30 total papers · 504 total citations
27 papers, 292 citations indexed

About

Chao‐Kun Cheng is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Chao‐Kun Cheng has authored 27 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 9 papers in Molecular Biology and 6 papers in Biomedical Engineering. Recurrent topics in Chao‐Kun Cheng's work include Cellular Automata and Applications (21 papers), Theoretical and Computational Physics (4 papers) and Gene Regulatory Network Analysis (3 papers). Chao‐Kun Cheng is often cited by papers focused on Cellular Automata and Applications (21 papers), Theoretical and Computational Physics (4 papers) and Gene Regulatory Network Analysis (3 papers). Chao‐Kun Cheng collaborates with scholars based in United States, Switzerland and United Kingdom. Chao‐Kun Cheng's co-authors include Lemont B. Kier, Paul G. Seybold, Bernard Testa, Pierre‐Alain Carrupt, Xue Bai, H. Thomas Karnes, Robert M. Tombes, Matthew J. O’Malley, Lowell H. Hall and Danail Bonchev and has published in prestigious journals such as Cancer Research, Journal of Chromatography A and The Journal of Physical Chemistry A.

In The Last Decade

Chao‐Kun Cheng

25 papers receiving 285 citations

Author Peers

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

Author						Papers	Cites
Chao‐Kun Cheng	156	106	57	44	36	27	292
Francisco J. Morales	77 0.5×	50 0.5×	70 1.2×	14 0.3×	21 0.6×	31	289
Grigore Călugăreanu	67 0.4×	82 0.8×	12 0.2×	22 0.5×	15 0.4×	50	365
Alessia Annibale	33 0.2×	98 0.9×	53 0.9×	24 0.5×	27 0.8×	32	311
Robert G. Scharein	35 0.2×	161 1.5×	22 0.4×	28 0.6×	33 0.9×	16	353
Mark B. Flegg	42 0.3×	251 2.4×	13 0.2×	19 0.4×	17 0.5×	26	353
Maria Bruna	54 0.3×	65 0.6×	50 0.9×	27 0.6×	37 1.0×	31	322
Joshua Cooper	91 0.6×	18 0.2×	24 0.4×	45 1.0×	23 0.6×	44	251
Jake P. Taylor‐King	77 0.5×	138 1.3×	10 0.2×	12 0.3×	48 1.3×	14	267
Andrés Moreira	105 0.7×	230 2.2×	15 0.3×	28 0.6×	6 0.2×	19	325
Iván Rapaport	131 0.8×	169 1.6×	5 0.1×	15 0.3×	26 0.7×	41	320

Countries citing papers authored by Chao‐Kun Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Chao‐Kun Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Kun Cheng. 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 Chao‐Kun Cheng. The network helps show where Chao‐Kun Cheng may publish in the future.

Co-authorship network of co-authors of Chao‐Kun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Kun Cheng. A scholar is included among the top collaborators of Chao‐Kun Cheng 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 Chao‐Kun Cheng. Chao‐Kun Cheng 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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