Enoch Yeung

97 total papers · 1.4k total citations
32 papers, 775 citations indexed

About

Enoch Yeung is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Enoch Yeung has authored 32 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Statistical and Nonlinear Physics and 5 papers in Computer Networks and Communications. Recurrent topics in Enoch Yeung's work include Gene Regulatory Network Analysis (21 papers), Model Reduction and Neural Networks (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Enoch Yeung is often cited by papers focused on Gene Regulatory Network Analysis (21 papers), Model Reduction and Neural Networks (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Enoch Yeung collaborates with scholars based in United States, United Kingdom and Luxembourg. Enoch Yeung's co-authors include Richard M. Murray, Zachary Z. Sun, Vincent Noireaux, Clarmyra A. Hayes, Yutaka Hori, Henrike Niederholtmeyer, Sebastian J. Maerkl, Sean Warnick, Jorge Gonçalves and Andrew H. Ng and has published in prestigious journals such as Nature Communications, Journal of Computational Physics and eLife.

In The Last Decade

Enoch Yeung

31 papers receiving 766 citations

Author Peers

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

Author						Papers	Cites
Enoch Yeung	614	137	94	74	65	32	775
Yuzhen Wang	495 0.8×	177 1.3×	51 0.5×	50 0.7×	97 1.5×	45	809
Yuzhen Wang	626 1.0×	60 0.4×	193 2.1×	29 0.4×	99 1.5×	31	853
Ádám Halász	270 0.4×	67 0.5×	61 0.6×	25 0.3×	55 0.8×	35	638
Richard G. Morris	313 0.5×	64 0.5×	44 0.5×	195 2.6×	17 0.3×	37	819
William Ott	379 0.6×	121 0.9×	102 1.1×	166 2.2×	46 0.7×	40	730
Gabriele Lillacci	505 0.8×	104 0.8×	52 0.6×	25 0.3×	28 0.4×	13	625
Steffen Waldherr	583 0.9×	76 0.6×	85 0.9×	34 0.5×	191 2.9×	85	890
Alan Veliz‐Cuba	529 0.9×	94 0.7×	42 0.4×	43 0.6×	23 0.4×	28	665
Vishwesh Kulkarni	318 0.5×	25 0.2×	57 0.6×	22 0.3×	232 3.6×	40	638
Nicole Radde	496 0.8×	65 0.5×	26 0.3×	32 0.4×	34 0.5×	60	673

Countries citing papers authored by Enoch Yeung

Since Specialization

Citations

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

Fields of papers citing papers by Enoch Yeung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enoch Yeung

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