To-Yat Cheung

1.2k citations
49 papers · 737 indexed · h-index 11
Topics
Petri Nets in System Modeling (17 papers)Formal Methods in Verification (10 papers)Service-Oriented Architecture and Web Services (9 papers)
Partner nations
Hong KongCanadaChina

In The Last Decade

To-Yat Cheung

45 papers receiving 667 citations

Peers

To-Yat Cheung
Comparison fields: 5 of 66
  • Computer Networks and Communications 386
  • Computational Theory and Mathematics 259
  • Information Systems 123
  • Management Information Systems 114
  • Electrical and Electronic Engineering 103
Replace Yahiko Kambayashi with:
Yahiko Kambayashi Japan
Sebastian Brandt Germany
Nicolai M. Josuttis Switzerland
Barna Saha United States
Randeep Bhatia United States
Giorgio Gambosi Italy
Arthur B. Kahn United States
Kurt Rohloff United States
Boaz Patt-Shamir Israel
K. G. Ramakrishnan United States
To-Yat Cheung relative to Yahiko Kambayashi Japan Yahiko Kambayashi's profile →
Citations per field
00.5×2.7×
Yahiko Kambayashi · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 8
2
Applications of Property-Preserving Algebras to Component-Based Manufacturing System Design *
2
3 12
4 6
5 31
6 23
7 0
8 2
9 5
10 1
11 242
12 85
13 3
14
An Executor for Graphical LOTOS
4
15 10
16 30
17 8
18 0
19 4
20 3

About To-Yat Cheung

To-Yat Cheung is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Management Information Systems, having authored 49 papers that have together received 737 indexed citations. Recurring topics across this work include Petri Nets in System Modeling (17 papers), Formal Methods in Verification (10 papers) and Service-Oriented Architecture and Web Services (9 papers). The work is most often cited by research in Computer Networks and Communications (386 citations), Computational Theory and Mathematics (259 citations) and Management Information Systems (114 citations). To-Yat Cheung has collaborated with scholars based in Hong Kong, Canada and China. Frequent co-authors include Ashish Goel, Chandra Chekuri, Zuo Dai, Sudipto Guha, Moses Charikar, Ming Li, Hai Zhuge, H.K. Pung, Hejiao Huang and Ming Li. Their work appears in journals such as Communications of the ACM, IEEE Transactions on Software Engineering and IEEE Transactions on Computers.

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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