Aijun An
- Artificial Intelligence top 0.5%
- Topic Modeling 26
- Sentiment Analysis and Opinion Mining 22
- Advanced Text Analysis Techniques 16
- Advanced Clustering Algorithms Research 9
- Information Systems top 0.5%
- Data Mining Algorithms and Applications 28
- Spam and Phishing Detection 10
- Signal Processing top 2%
- Data Management and Algorithms 23
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- Rough Sets and Fuzzy Logic 21
- Co-authors
- Jimmy Xiangji HuangXiaohui YuYang LiuMehdi KargarMorteza ZihayatXiaogang WangShima KhoshraftarHeidar Davoudi
- Journals
- IEEE Transactions on Knowledge and Data Engineering (4 papers)Knowledge and Information Systems (3 papers)Machine Learning (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Aijun An
133 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 1.8k
- Information Systems 1.2k
- Signal Processing 390
- Computer Science Applications 159
- Statistical and Nonlinear Physics 265
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2020 | 0 | |
| 9 | Leveraging Emotion Features in News Recommendations. | 2019 | 5 |
| 10 | Decoupling the Layers in Residual Networks | 2018 | 1 |
| 11 | Learning Emotion-enriched Word Representations | 2018 | 35 |
| 12 | 2018 | 44 | |
| 13 | 2013 | 57 | |
| 14 | Kea: Expression-level Sentiment Analysis from Twitter Data | 2013 | 1 |
| 15 | 2012 | 90 | |
| 16 | 2009 | 1 | |
| 17 | Rough sets, fuzzy sets, data mining, and granular computing : 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007 : proceedings | 2007 | 7 |
| 18 | Boosting prediction accuracy on imbalanced datasets with svm ensembles | 2007 | 1 |
| 19 | York University at TREC 2006: Enterprise Email Discussion Search | 2006 | 4 |
| 20 | York University at TREC 2005: SPAM Track | 2005 | 3 |
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 141 papers that have together received 3.1k 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 (1.8k citations), Information Systems (1.2k citations), Signal Processing (390 citations), Computer Science Applications (159 citations) and Statistical and Nonlinear Physics (265 citations). Aijun An has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Jimmy Xiangji Huang, Xiaohui Yu, Yang Liu, Mehdi Kargar, Morteza Zihayat, Xiaogang Wang, Shima Khoshraftar, 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 Information Sciences.
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.