Jun Ai
Impact in
- Surfaces, Coatings and Films top 5%
- Surface Modification and Superhydrophobicity
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Complex Network Analysis Techniques 19
- Opinion Dynamics and Social Influence 7
-
- Recommender Systems and Techniques 13
- Software Engineering Research 4
- Co-authors
- Zhan Su (23 shared papers)Jianguo Liu (6 shared papers)Xiaoyan Zeng (5 shared papers)Qifeng Du (5 shared papers)Yong‐Ming Yan (3 shared papers)Yong‐Xian Cheng (2 shared papers)Jie Luo (2 shared papers)Jing Nie (2 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (4 papers)International Journal of Systems Science (3 papers)Applied Surface Science (3 papers)Chaos Solitons & Fractals (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Ai
57 papers receiving 862 citations
Peers
Comparison fields: 5 of 132
- Surfaces, Coatings and Films 100
- Statistical and Nonlinear Physics 158
- Pharmacology 136
- Pharmacology 65
- Information Systems 174
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 135 | |
| 2 | 2018 | 68 | |
| 3 | 2014 | 54 | |
| 4 | 2017 | 51 | |
| 5 | 2019 | 45 | |
| 6 | 2020 | 43 | |
| 7 | 2013 | 24 | |
| 8 | 2015 | 23 | |
| 9 | 2018 | 22 | |
| 10 | 2016 | 22 | |
| 11 | 2019 | 22 | |
| 12 | 2021 | 20 | |
| 13 | 2016 | 19 | |
| 14 | 2019 | 19 | |
| 15 | 2022 | 19 | |
| 16 | 2016 | 19 | |
| 17 | 2013 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2017 | 15 |
About Jun Ai
Jun Ai is a scholar working on Statistical and Nonlinear Physics, Information Systems, Artificial Intelligence, Computer Networks and Communications and Mechanics of Materials, having authored 63 papers that have together received 894 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), Recommender Systems and Techniques (13 papers), Opinion Dynamics and Social Influence (7 papers), Adaptive Control of Nonlinear Systems (5 papers), Mental Health Research Topics (5 papers), Stability and Control of Uncertain Systems (5 papers), Software Engineering Research (4 papers) and Surface Modification and Superhydrophobicity (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (100 citations), Statistical and Nonlinear Physics (158 citations), Pharmacology (136 citations), Pharmacology (65 citations) and Information Systems (174 citations). Jun Ai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhan Su, Jianguo Liu, Xiaoyan Zeng, Qifeng Du, Yong‐Ming Yan, Yong‐Xian Cheng, Jie Luo, Jing Nie, Chunxue Wu and Ping Fang. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, International Journal of Systems Science, Applied Surface Science, Chaos Solitons & Fractals 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.