Shen Wang
Impact in
- Computational Mathematics top 5%
-
- Toxic Organic Pollutants Impact
- Effects and risks of endocrine disrupting chemicals
Papers in
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- Advanced Graph Neural Networks 4
- Topic Modeling 3
- Adversarial Robustness in Machine Learning 2
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- IoT and Edge/Fog Computing 5
- Software-Defined Networks and 5G 3
- Co-authors
- Fangxing Yang (1 shared paper)Mengmeng Xu (1 shared paper)Jinjian Ding (1 shared paper)Jun Wu (5 shared papers)Xiamu Niu (2 shared papers)Xianhua Song (2 shared papers)Jianzhi Sang (1 shared paper)Hongkai Wang (1 shared paper)
- Journals
- IEEE Access (2 papers)Measurement (1 paper)Environmental Pollution (1 paper)IEEE Internet of Things Journal (1 paper)Crystal Growth & Design (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shen Wang
28 papers receiving 614 citations
Peers
Comparison fields: 5 of 80
- Computational Mathematics 19
- Health, Toxicology and Mutagenesis 129
- Computer Networks and Communications 177
- Human-Computer Interaction 42
- Artificial Intelligence 163
Countries citing papers authored by Shen Wang
This map shows the geographic impact of Shen Wang'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 Shen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Wang more than expected).
Fields of papers citing papers by Shen Wang
This network shows the impact of papers produced by Shen Wang. 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 Shen Wang. The network helps show where Shen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shen Wang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 138 | |
| 2 | 2015 | 79 | |
| 3 | 2017 | 73 | |
| 4 | 2018 | 63 | |
| 5 | 2016 | 44 | |
| 6 | 2017 | 36 | |
| 7 | 2020 | 30 | |
| 8 | Kernelized support tensor machines | 2017 | 25 |
| 9 | 2018 | 21 | |
| 10 | 2012 | 20 | |
| 11 | 2025 | 19 | |
| 12 | 2019 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 5 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 3 |
About Shen Wang
Shen Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Electrical and Electronic Engineering, having authored 29 papers that have together received 633 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Advanced Graph Neural Networks (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Software-Defined Networks and 5G (3 papers), Topic Modeling (3 papers), Adversarial Robustness in Machine Learning (2 papers), Recommender Systems and Techniques (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Computational Mathematics (19 citations), Health, Toxicology and Mutagenesis (129 citations), Computer Networks and Communications (177 citations), Human-Computer Interaction (42 citations) and Artificial Intelligence (163 citations). Shen Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fangxing Yang, Mengmeng Xu, Jinjian Ding, Jun Wu, Xiamu Niu, Xianhua Song, Jianzhi Sang, Hongkai Wang, Qiang Ji and Kang Wang. Their work appears in journals such as IEEE Access, Measurement, Environmental Pollution, IEEE Internet of Things Journal and Crystal Growth & Design.
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.