Aijun An
Impact in
- Artificial Intelligence top 0.5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Imbalanced Data Classification Techniques
- Information Systems top 0.2%
- Data Mining Algorithms and Applications
Papers in
-
- Topic Modeling 32
- Sentiment Analysis and Opinion Mining 25
- Advanced Text Analysis Techniques 21
-
- Data Mining Algorithms and Applications 37
- Co-authors
- Xiaohui Yu (14 shared papers)Mehdi Kargar (13 shared papers)Yang Liu (8 shared papers)Morteza Zihayat (14 shared papers)Nick J. Cercone (19 shared papers)Ameeta Agrawal (11 shared papers)Shima Khoshraftar (6 shared papers)Xiaogang Wang (12 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (4 papers)Lecture notes in computer science (33 papers)Knowledge and Information Systems (3 papers)Machine Learning (2 papers)IEEE Transactions on Affective Computing (1 paper)
- Partner nations
- CanadaChinaUnited Kingdom
In The Last Decade
Aijun An
171 papers receiving 4.4k citations
Aijun An's Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 2.8k
- Information Systems 1.9k
- Signal Processing 603
- Computational Theory and Mathematics 782
- Computer Science Applications 253
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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rough Sets, Fuzzy Sets, Data Mining and Granular Computing Hit paper breakdown → | 2007 | 431 |
| 2 | 2007 | 242 | |
| 3 | 2008 | 241 | |
| 4 | 2011 | 200 | |
| 5 | 2008 | 175 | |
| 6 | 2011 | 166 | |
| 7 | 2010 | 138 | |
| 8 | 2006 | 119 | |
| 9 | A Survey on Graph Representation Learning Methods Hit paper breakdown → | 2023 | 117 |
| 10 | 2011 | 110 | |
| 11 | 2012 | 105 | |
| 12 | 2012 | 93 | |
| 13 | 2012 | 88 | |
| 14 | 2021 | 85 | |
| 15 | 2018 | 80 | |
| 16 | 2020 | 79 | |
| 17 | 2014 | 75 | |
| 18 | 2013 | 69 | |
| 19 | 2001 | 68 | |
| 20 | 2018 | 66 |
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 177 papers that have together received 4.6k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (37 papers), Topic Modeling (32 papers), Data Management and Algorithms (27 papers), Rough Sets and Fuzzy Logic (26 papers), Sentiment Analysis and Opinion Mining (25 papers), Advanced Text Analysis Techniques (21 papers), Complex Network Analysis Techniques (14 papers) and Advanced Database Systems and Queries (13 papers). The work is most often cited by research in Artificial Intelligence (2.8k citations), Information Systems (1.9k citations), Signal Processing (603 citations), Computational Theory and Mathematics (782 citations) and Computer Science Applications (253 citations). Aijun An has collaborated with scholars based in Canada, China and United Kingdom. Frequent co-authors include Xiaohui Yu, Mehdi Kargar, Yang Liu, Morteza Zihayat, Nick J. Cercone, Ameeta Agrawal, Shima Khoshraftar, Xiaogang Wang, Jerzy Stefanowski and Sheela Ramanna. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Lecture notes in computer science, Knowledge and Information Systems, Machine Learning and IEEE Transactions on Affective Computing.
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.