Farn Wang

66 papers receiving 540 citations

Peers

Farn Wang
Comparison fields: 5 of 21
  • Computational Theory and Mathematics 419
  • Software 68
  • Hardware and Architecture 40
  • Artificial Intelligence 60
  • Information Systems 17
Replace Miguel Felder with:
Miguel Felder Italy
Brendan P. Mahony Australia
C. Norris Ip United States
Jacques Pulou France
Yoav Rodeh Israel
Georg Hofferek Austria
Jürgen Ruf Germany
Anders Hessel Sweden
Alfons Laarman Netherlands
Kåre Jelling Kristoffersen Denmark
Farn Wang relative to Miguel Felder Italy Miguel Felder's profile →
Citations per field
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Miguel Felder · 1×
Citations per year

Countries citing papers authored by Farn Wang

Since Specialization
Citations

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

Fields of papers citing papers by Farn Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Farn Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Farn Wang Line = papers co-authored together Farn Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200244
2 200043
3 199637
4 200230
5 199324
6 199724
7 200221
8 200618
9 200617
10 199915
11 200214
12 201114
13 201714
14 201113
15 199912
16 200312
17 200512
18 201111
19 200010
20 201110

About Farn Wang

Farn Wang is a scholar working on Computational Theory and Mathematics, Software, Artificial Intelligence, Computer Networks and Communications and Applied Microbiology and Biotechnology, having authored 70 papers that have together received 552 indexed citations. Recurring topics across this work include Formal Methods in Verification (46 papers), Software Testing and Debugging Techniques (14 papers), Logic, programming, and type systems (5 papers), Logic, Reasoning, and Knowledge (5 papers), semigroups and automata theory (3 papers), Adversarial Robustness in Machine Learning (2 papers), Web Application Security Vulnerabilities (2 papers) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Computational Theory and Mathematics (419 citations), Software (68 citations), Hardware and Architecture (40 citations), Artificial Intelligence (60 citations) and Information Systems (17 citations). Farn Wang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Pao‐Ann Hsiung, Aloysius K. Mok, Fang Yu, Chung-Hao Huang, E. Allen Emerson, Jin Seok Yang, Karsten Schmidt, Sven Schewe, Jun-Wei Lin and Al Mok. Their work appears in journals such as Lecture notes in computer science, ACM Transactions on Programming Languages and Systems, Theoretical Computer Science, Real-Time Systems and IEEE Transactions on Software Engineering.

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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