Bor-Yuh Evan Chang

2.3k citations
42 papers · 564 indexed · h-index 10
Topics
Software Engineering Research (18 papers)Software Testing and Debugging Techniques (16 papers)Logic, programming, and type systems (15 papers)
Journals
SHILAP Revista de lepidopterologíaCommunications of the ACMJournal of science and medicine in sport

In The Last Decade

Bor-Yuh Evan Chang

36 papers receiving 533 citations

Peers

Bor-Yuh Evan Chang
Comparison fields: 5 of 26
  • Artificial Intelligence 350
  • Software 278
  • Information Systems 226
  • Computational Theory and Mathematics 197
  • Signal Processing 182
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Citations per field
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Citations per year

Countries citing papers authored by Bor-Yuh Evan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Bor-Yuh Evan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bor-Yuh Evan Chang. 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 Bor-Yuh Evan Chang. The network helps show where Bor-Yuh Evan Chang may publish in the future.

Co-authorship network of co-authors of Bor-Yuh Evan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Bor-Yuh Evan Chang. A scholar is included among the top collaborators of Bor-Yuh Evan Chang 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 Bor-Yuh Evan Chang. Bor-Yuh Evan Chang 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
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3
Static Analysis 26th International Symposium, SAS 2019, Porto, Portugal, October 8–11, 2019, Proceedings
3
4 9
5 1
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7 4
8 0
9 4
10 20
11 6
12 2
13
Invariant Generation for Parametrized Systems Using Self-reflection - (Extended Version).
1
14 0
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Measuring Enforcement Windows with Symbolic Trace Interpretation: What Well-Behaved Programs Say ; CU-CS-1093-12
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16 1
17 7
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Boogie: a modular reusable verifier for object-oriented programs
125
19 18
20 7

About Bor-Yuh Evan Chang

Bor-Yuh Evan Chang is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 42 papers that have together received 564 indexed citations. Recurring topics across this work include Software Engineering Research (18 papers), Software Testing and Debugging Techniques (16 papers) and Logic, programming, and type systems (15 papers). The work is most often cited by research in Software (278 citations), Signal Processing (182 citations) and Hardware and Architecture (91 citations). Bor-Yuh Evan Chang has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Xavier Rival, Manu Sridharan, Mike Barnett, K. Rustan M. Leino, Robert DeLine, Bart Jacobs, Anders Møller, Dimitris Vardoulakis, Uday P. Khedker and Yannis Smaragdakis. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Journal of science and medicine in sport.

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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