To-Yat Cheung

59 total papers · 1.2k total citations
49 papers, 736 citations indexed

About

To-Yat Cheung is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Information Systems. According to data from OpenAlex, To-Yat Cheung has authored 49 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 17 papers in Computer Networks and Communications and 9 papers in Information Systems. Recurrent topics in To-Yat Cheung's work include Petri Nets in System Modeling (17 papers), Formal Methods in Verification (10 papers) and Service-Oriented Architecture and Web Services (9 papers). To-Yat Cheung is often cited by papers focused on Petri Nets in System Modeling (17 papers), Formal Methods in Verification (10 papers) and Service-Oriented Architecture and Web Services (9 papers). To-Yat Cheung collaborates with scholars based in Hong Kong, Canada and China. To-Yat Cheung's co-authors include Ashish Goel, Moses Charikar, Zuo Dai, Sudipto Guha, Chandra Chekuri, Ming Li, Hai Zhuge, H.K. Pung, Hejiao Huang and Ming Li and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and IEEE Transactions on Computers.

In The Last Decade

To-Yat Cheung

45 papers receiving 666 citations

Author Peers

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

Author						Papers	Cites
To-Yat Cheung	386	258	123	114	103	49	736
Tilak Agerwala	318 0.8×	274 1.1×	120 1.0×	137 1.2×	76 0.7×	38	655
Éric Fabre	358 0.9×	556 2.2×	55 0.4×	170 1.5×	110 1.1×	55	887
Jeremy Bryans	344 0.9×	291 1.1×	146 1.2×	56 0.5×	215 2.1×	57	827
Rossano Gaeta	556 1.4×	195 0.8×	85 0.7×	81 0.7×	143 1.4×	71	820
Ahmed Khoumsi	234 0.6×	275 1.1×	74 0.6×	30 0.3×	86 0.8×	87	635
Jin‐Fu Chang	435 1.1×	259 1.0×	62 0.5×	246 2.2×	307 3.0×	60	845
Y. Edmund Lien	347 0.9×	242 0.9×	52 0.4×	72 0.6×	56 0.5×	22	623
Bala Kalyanasundaram	538 1.4×	355 1.4×	49 0.4×	31 0.3×	75 0.7×	37	856
G.S. Hura	428 1.1×	113 0.4×	127 1.0×	43 0.4×	249 2.4×	56	810
Petra Berenbrink	508 1.3×	120 0.5×	91 0.7×	51 0.4×	84 0.8×	78	770

Countries citing papers authored by To-Yat Cheung

Since Specialization

Citations

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

Fields of papers citing papers by To-Yat Cheung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by To-Yat Cheung. 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 To-Yat Cheung. The network helps show where To-Yat Cheung may publish in the future.

Co-authorship network of co-authors of To-Yat Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of To-Yat Cheung. A scholar is included among the top collaborators of To-Yat Cheung 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 To-Yat Cheung. To-Yat Cheung 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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