Shiting Wen
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Domain Adaptation and Few-Shot Learning
- Privacy-Preserving Technologies in Data
Papers in
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- Service-Oriented Architecture and Web Services 10
- Data Mining Algorithms and Applications 6
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- Domain Adaptation and Few-Shot Learning 5
- Imbalanced Data Classification Techniques 5
- Co-authors
- Chaogang Tang (8 shared papers)Yangguang Liu (2 shared papers)Yangming Zhou (1 shared paper)Jianwen Tao (6 shared papers)Xinjie Yu (3 shared papers)Wenjun Hu (5 shared papers)Jinqiu Yang (3 shared papers)Fengfeng Zhang (1 shared paper)
In The Last Decade
Shiting Wen
41 papers receiving 461 citations
Peers
Comparison fields: 5 of 108
- Analytical Chemistry 86
- Artificial Intelligence 177
- Biophysics 24
- Signal Processing 45
- Health Information Management 17
Countries citing papers authored by Shiting Wen
This map shows the geographic impact of Shiting Wen'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 Shiting Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiting Wen more than expected).
Fields of papers citing papers by Shiting Wen
This network shows the impact of papers produced by Shiting Wen. 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 Shiting Wen. The network helps show where Shiting Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiting Wen, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 133 | |
| 2 | 2018 | 84 | |
| 3 | 2019 | 28 | |
| 4 | 2016 | 25 | |
| 5 | 2015 | 21 | |
| 6 | 2019 | 17 | |
| 7 | 2016 | 17 | |
| 8 | 2019 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2020 | 8 | |
| 12 | 2014 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2012 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2012 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2020 | 6 | |
| 20 | Towards automatic construction of skyline composite services | 2014 | 5 |
About Shiting Wen
Shiting Wen is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 42 papers that have together received 472 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (10 papers), Data Management and Algorithms (7 papers), Caching and Content Delivery (6 papers), Data Mining Algorithms and Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Access Control and Trust (5 papers), Imbalanced Data Classification Techniques (5 papers) and Rough Sets and Fuzzy Logic (4 papers). The work is most often cited by research in Analytical Chemistry (86 citations), Artificial Intelligence (177 citations), Biophysics (24 citations), Signal Processing (45 citations) and Health Information Management (17 citations). Shiting Wen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Chaogang Tang, Yangguang Liu, Yangming Zhou, Jianwen Tao, Xinjie Yu, Wenjun Hu, Jinqiu Yang, Fengfeng Zhang, An Liu and Qing Li. Their work appears in journals such as Applied Intelligence, World Wide Web, Service Oriented Computing and Applications, Sustainability and Knowledge-Based Systems.
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.