Aijun An
Impact in
- Artificial Intelligence top 0.5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Information Systems top 0.5%
- Data Mining Algorithms and Applications
Papers in
-
- Topic Modeling 26
- Sentiment Analysis and Opinion Mining 22
- Advanced Text Analysis Techniques 16
- Advanced Clustering Algorithms Research 9
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- Data Mining Algorithms and Applications 28
- Spam and Phishing Detection 10
- Co-authors
- Xiaohui Yu (13 shared papers)Yang Liu (7 shared papers)Mehdi Kargar (12 shared papers)Morteza Zihayat (13 shared papers)Ameeta Agrawal (11 shared papers)Shima Khoshraftar (4 shared papers)Xiaogang Wang (10 shared papers)Heidar Davoudi (14 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (4 papers)Knowledge and Information Systems (3 papers)Machine Learning (2 papers)Journal of Intelligent Information Systems (2 papers)Journal of Global Optimization (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Aijun An
136 papers receiving 3.0k citations
Aijun An's Hit Papers
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 1.9k
- Information Systems 1.2k
- Signal Processing 391
- Computer Science Applications 158
- Statistical and Nonlinear Physics 266
Countries citing papers authored by Aijun An
This map shows the geographic impact of Aijun An'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 Aijun An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aijun An more than expected).
Fields of papers citing papers by Aijun An
This network shows the impact of papers produced by Aijun An. 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 Aijun An. The network helps show where Aijun An may publish in the future.
Co-authors
The 25 scholars most cited alongside Aijun An, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 208 | |
| 2 | 2007 | 206 | |
| 3 | 2011 | 174 | |
| 4 | 2008 | 153 | |
| 5 | 2011 | 133 | |
| 6 | 2010 | 127 | |
| 7 | A Survey on Graph Representation Learning Methods Hit paper breakdown → | 2023 | 98 |
| 8 | 2012 | 90 | |
| 9 | 2011 | 89 | |
| 10 | 2012 | 77 | |
| 11 | 2020 | 71 | |
| 12 | 2014 | 69 | |
| 13 | 2021 | 67 | |
| 14 | 2007 | 65 | |
| 15 | 2018 | 64 | |
| 16 | 2018 | 59 | |
| 17 | 2013 | 58 | |
| 18 | 2012 | 53 | |
| 19 | 2001 | 48 | |
| 20 | 1999 | 48 |
About Aijun An
Aijun An is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computational Theory and Mathematics and Computer Networks and Communications, having authored 142 papers that have together received 3.2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (28 papers), Topic Modeling (26 papers), Data Management and Algorithms (23 papers), Sentiment Analysis and Opinion Mining (22 papers), Rough Sets and Fuzzy Logic (21 papers), Advanced Text Analysis Techniques (16 papers), Spam and Phishing Detection (10 papers) and Advanced Clustering Algorithms Research (9 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Information Systems (1.2k citations), Signal Processing (391 citations), Computer Science Applications (158 citations) and Statistical and Nonlinear Physics (266 citations). Aijun An has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Xiaohui Yu, Yang Liu, Mehdi Kargar, Morteza Zihayat, Ameeta Agrawal, Shima Khoshraftar, Xiaogang Wang, Heidar Davoudi, Natalija Vlajic and Uyen Trang Nguyen. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems, Machine Learning, Journal of Intelligent Information Systems and Journal of Global Optimization.
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.