Xiwei Dong
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 2%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
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- Face and Expression Recognition 6
- Advanced Image and Video Retrieval Techniques 6
- Image Retrieval and Classification Techniques 4
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- Software Engineering Research 7
- Co-authors
- Xiao‐Yuan Jing (18 shared papers)Fei Wu (18 shared papers)Baowen Xu (4 shared papers)Caixue Zhou (1 shared paper)Zhiqiang Li (2 shared papers)Yimu Ji (3 shared papers)Ruchuan Wang (3 shared papers)Xiaoke Zhu (1 shared paper)
- Journals
- Pattern Recognition (3 papers)Software Quality Journal (1 paper)iScience (1 paper)Applied Intelligence (1 paper)Neural Processing Letters (1 paper)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Xiwei Dong
29 papers receiving 653 citations
Peers
Comparison fields: 5 of 66
- Software 287
- Information Systems 350
- Computer Vision and Pattern Recognition 203
- Artificial Intelligence 207
- Media Technology 47
Countries citing papers authored by Xiwei Dong
This map shows the geographic impact of Xiwei 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 Xiwei Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiwei Dong more than expected).
Fields of papers citing papers by Xiwei Dong
This network shows the impact of papers produced by Xiwei 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 Xiwei Dong. The network helps show where Xiwei Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiwei 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 166 | |
| 2 | 2015 | 160 | |
| 3 | 2020 | 60 | |
| 4 | 2016 | 58 | |
| 5 | 2012 | 40 | |
| 6 | 2017 | 31 | |
| 7 | 2018 | 28 | |
| 8 | 2017 | 19 | |
| 9 | 2016 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2024 | 3 |
About Xiwei Dong
Xiwei Dong is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Software and Media Technology, having authored 30 papers that have together received 665 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Software Reliability and Analysis Research (7 papers), Face and Expression Recognition (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Remote-Sensing Image Classification (4 papers), Image Retrieval and Classification Techniques (4 papers), Software System Performance and Reliability (2 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Software (287 citations), Information Systems (350 citations), Computer Vision and Pattern Recognition (203 citations), Artificial Intelligence (207 citations) and Media Technology (47 citations). Xiwei Dong has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Xiao‐Yuan Jing, Fei Wu, Baowen Xu, Caixue Zhou, Zhiqiang Li, Yimu Ji, Ruchuan Wang, Xiaoke Zhu, Fei Ma and Qinghua Huang. Their work appears in journals such as Pattern Recognition, Software Quality Journal, iScience, Applied Intelligence and Neural Processing Letters.
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.