Xiangjun Dong
Impact in
- Information Systems top 1%
- Data Mining Algorithms and Applications
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- Rough Sets and Fuzzy Logic
Papers in
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- Data Mining Algorithms and Applications 49
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- Imbalanced Data Classification Techniques 23
- Text and Document Classification Technologies 5
- Co-authors
- Longbing Cao (7 shared papers)Yongshun Gong (18 shared papers)Tiantian Xu (15 shared papers)Long Zhao (8 shared papers)Yuhai Zhao (6 shared papers)Ying Yin (3 shared papers)Zhigang Zheng (2 shared papers)Yan Sun (1 shared paper)
In The Last Decade
Xiangjun Dong
90 papers receiving 998 citations
Peers
Comparison fields: 5 of 103
- Information Systems 544
- Computational Theory and Mathematics 305
- Signal Processing 177
- Artificial Intelligence 486
- Computer Vision and Pattern Recognition 127
Countries citing papers authored by Xiangjun Dong
This map shows the geographic impact of Xiangjun Dong'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 Xiangjun Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjun Dong more than expected).
Fields of papers citing papers by Xiangjun Dong
This network shows the impact of papers produced by Xiangjun Dong. 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 Xiangjun Dong. The network helps show where Xiangjun Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangjun Dong, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 69 | |
| 2 | 2013 | 60 | |
| 3 | 2018 | 55 | |
| 4 | 2014 | 50 | |
| 5 | 2020 | 49 | |
| 6 | 2016 | 46 | |
| 7 | 2019 | 40 | |
| 8 | 2018 | 30 | |
| 9 | 2018 | 26 | |
| 10 | 2016 | 22 | |
| 11 | 2017 | 22 | |
| 12 | 2018 | 21 | |
| 13 | 2024 | 20 | |
| 14 | 2024 | 20 | |
| 15 | 2011 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2017 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2016 | 18 | |
| 20 | 2018 | 16 |
About Xiangjun Dong
Xiangjun Dong is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (49 papers), Rough Sets and Fuzzy Logic (35 papers), Imbalanced Data Classification Techniques (23 papers), Data Management and Algorithms (11 papers), Advanced Database Systems and Queries (11 papers), Text and Document Classification Technologies (5 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Image Fusion Techniques (5 papers). The work is most often cited by research in Information Systems (544 citations), Computational Theory and Mathematics (305 citations), Signal Processing (177 citations), Artificial Intelligence (486 citations) and Computer Vision and Pattern Recognition (127 citations). Xiangjun Dong has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Longbing Cao, Yongshun Gong, Tiantian Xu, Long Zhao, Yuhai Zhao, Ying Yin, Zhigang Zheng, Yan Sun, Min Xing and Weiyang Chen. Their work appears in journals such as IEEE Access, Knowledge-Based Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Geoscience and Remote Sensing and Symmetry.
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.