Jun Ai
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Software Engineering Research
Papers in
- Software 37
- Software Reliability and Analysis Research 35
- Software Testing and Debugging Techniques 14
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- Software Engineering Research 29
- Co-authors
- Zhenning Xu (4 shared papers)Jingyu Liu (1 shared paper)Yihai He (2 shared papers)Minyan Lu (10 shared papers)Fei Wang (1 shared paper)Yulei Sui (1 shared paper)Ting Lin (1 shared paper)Feng Zheng (2 shared papers)
- Journals
- Applied Sciences (3 papers)IEEE Transactions on Reliability (3 papers)Physica A Statistical Mechanics and its Applications (2 papers)Reliability Engineering & System Safety (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Ai
53 papers receiving 331 citations
Peers
Comparison fields: 5 of 56
- Software 179
- Information Systems 200
- Computer Networks and Communications 120
- Medical Laboratory Technology 7
- Safety, Risk, Reliability and Quality 32
Countries citing papers authored by Jun Ai
This map shows the geographic impact of Jun Ai'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 Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ai more than expected).
Fields of papers citing papers by Jun Ai
This network shows the impact of papers produced by Jun Ai. 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 Ai. The network helps show where Jun Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 56 | |
| 2 | 2022 | 25 | |
| 3 | 2022 | 21 | |
| 4 | 2019 | 20 | |
| 5 | 2018 | 15 | |
| 6 | 2022 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 10 | |
| 11 | 2006 | 8 | |
| 12 | 2017 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2012 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2020 | 5 |
About Jun Ai
Jun Ai is a scholar working on Software, Information Systems, Computer Networks and Communications, Artificial Intelligence and Safety, Risk, Reliability and Quality, having authored 61 papers that have together received 344 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (35 papers), Software Engineering Research (29 papers), Software System Performance and Reliability (20 papers), Software Testing and Debugging Techniques (14 papers), Anomaly Detection Techniques and Applications (8 papers), Reliability and Maintenance Optimization (5 papers), Complex Network Analysis Techniques (5 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Software (179 citations), Information Systems (200 citations), Computer Networks and Communications (120 citations), Medical Laboratory Technology (7 citations) and Safety, Risk, Reliability and Quality (32 citations). Jun Ai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhenning Xu, Jingyu Liu, Yihai He, Minyan Lu, Fei Wang, Yulei Sui, Ting Lin, Feng Zheng, Zhan Su and Yu Zhao. Their work appears in journals such as Applied Sciences, IEEE Transactions on Reliability, Physica A Statistical Mechanics and its Applications, Reliability Engineering & System Safety and IEEE Access.
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.