Jun Yan

1.1k citations
79 papers · 789 · h-index 16

Impact in

  • Software top 1%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Advanced Malware Detection Techniques

Papers in

    • Software Testing and Debugging Techniques 42
    • Software Reliability and Analysis Research 15
    • Software Engineering Research 20

Jun Yan

69 papers receiving 757 citations

Peers

Jun Yan
Comparison fields: 5 of 56
  • Software 445
  • Signal Processing 246
  • Information Systems 358
  • Computer Networks and Communications 256
  • Hardware and Architecture 74
Replace Pietro Ferrara with:
Pietro Ferrara Italy
Suvda Myagmar United States
Muzammil Shahbaz United Kingdom
Andrew Ruef United States
Sergiy Vilkomir United States
Marcelo d’Amorim Brazil
Fausto Spoto Italy
Nathaniel Ayewah United States
Mingzhe Wang China
Jun Yan relative to Pietro Ferrara Italy Pietro Ferrara's profile →
Citations per field
00.5×1.5×2.5×
Pietro Ferrara · 1×
Citations per year

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Yan, 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 Jun Yan Line = papers co-authored together Jun Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 200670
3 200653
4 201643
5 200842
6 201436
7 200831
8 201730
9 202027
10 201924
11 201921
12 201720
13 201419
14 201619
15 201715
16 200915
17 201614
18 200311
19 202211
20 201011

About Jun Yan

Jun Yan is a scholar working on Software, Information Systems, Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 79 papers that have together received 789 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (42 papers), Advanced Malware Detection Techniques (21 papers), Software Engineering Research (20 papers), Software Reliability and Analysis Research (15 papers), Privacy-Preserving Technologies in Data (9 papers), Green IT and Sustainability (9 papers), Privacy, Security, and Data Protection (8 papers) and Formal Methods in Verification (7 papers). The work is most often cited by research in Software (445 citations), Signal Processing (246 citations), Information Systems (358 citations), Computer Networks and Communications (256 citations) and Hardware and Architecture (74 citations). Jun Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Zhang, Jian Zhang, Zhiqiang Zhang, Yanli Zhang, Jian Zhang, Jian Zhang, Zhongjie Li, Wei Sun, Yuan Yuan and Yong Zhao. Their work appears in journals such as Journal of Systems and Software, Information Fusion, Remote Sensing, Science of Computer Programming and IEEE Transactions on Reliability.

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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