Dongyun Jin

768 total citations
18 papers, 400 citations indexed

About

Dongyun Jin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Dongyun Jin has authored 18 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 6 papers in Software. Recurrent topics in Dongyun Jin's work include Logic, programming, and type systems (9 papers), Software Testing and Debugging Techniques (6 papers) and Formal Methods in Verification (6 papers). Dongyun Jin is often cited by papers focused on Logic, programming, and type systems (9 papers), Software Testing and Debugging Techniques (6 papers) and Formal Methods in Verification (6 papers). Dongyun Jin collaborates with scholars based in United States, Switzerland and Hong Kong. Dongyun Jin's co-authors include Grigore Roşu, Patrick Meredith, Dennis Griffith, Feng Chen, Choong-Hwan Lee, Feng Chen, Vilas Jagannath, Darko Marinov, Milos Gligoric and Qingzhou Luo and has published in prestigious journals such as Annals of Oncology, ACM SIGPLAN Notices and International Journal on Software Tools for Technology Transfer.

In The Last Decade

Dongyun Jin

18 papers receiving 378 citations

Peers

Dongyun Jin
Comparison fields: 5 of 35
  • Software 211
  • Artificial Intelligence 198
  • Information Systems 122
  • Computer Networks and Communications 116
  • Computational Theory and Mathematics 109
Replace Carsten Weise with:
Carsten Weise Germany
Farhad Mehta Switzerland
Gerald Lüttgen Germany
Laurent Voisin France
Allen Goldberg United States
Yassine Lakhnech France
Wonhong Nam South Korea
Pavol Černý United States
Marieke Huisman Netherlands
Carsten Weise Germany View profile →
Citations per field, relative to Dongyun Jin
Dongyun Jin · 1×
Citations per year, relative to Dongyun Jin
Dongyun Jin · 1×

Countries citing papers authored by Dongyun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Dongyun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyun Jin. A scholar is included among the top collaborators of Dongyun Jin 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 Dongyun Jin. Dongyun Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 3
2 4
3 5
4 31
5 30
6
Towards Categorizing and Formalizing the JDK API
15
7
MAKING RUNTIME MONITORING OF PARAMETRIC PROPERTIES PRACTICAL
5
8
Scalable Parametric Runtime Monitoring
10
9 48
10 16
11 111
12 26
13 29
14 6
15
Monitoring Oriented Programming - A Project Overview
4
16 26
17 21
18 10

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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