Bin Shi
Impact in
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- Stroke Rehabilitation and Recovery
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- IoT and Edge/Fog Computing
Papers in
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- Anomaly Detection Techniques and Applications 7
- Imbalanced Data Classification Techniques 6
- Topic Modeling 5
- Advanced Graph Neural Networks 4
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- Cloud Computing and Resource Management 10
- Co-authors
- Xijing He (1 shared paper)Feng Zhang (1 shared paper)Qinghua Zheng (15 shared papers)Bo Dong (17 shared papers)Hua Wei (7 shared papers)Haiying Shen (2 shared papers)Xiaofeng Chen (1 shared paper)Xue Zhang (1 shared paper)
- Journals
- Engineering (2 papers)Expert Systems with Applications (2 papers)Future Internet (1 paper)Knowledge-Based Systems (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Bin Shi
46 papers receiving 376 citations
Peers
Comparison fields: 5 of 101
- Rehabilitation 34
- Computer Networks and Communications 72
- Pharmacology 26
- Information Systems 64
- Artificial Intelligence 87
Countries citing papers authored by Bin Shi
This map shows the geographic impact of Bin Shi'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 Bin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Shi more than expected).
Fields of papers citing papers by Bin Shi
This network shows the impact of papers produced by Bin Shi. 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 Bin Shi. The network helps show where Bin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Shi, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 77 | |
| 2 | 2019 | 64 | |
| 3 | 2016 | 21 | |
| 4 | 2023 | 20 | |
| 5 | 2019 | 19 | |
| 6 | 2015 | 16 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2015 | 9 | |
| 13 | 2014 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 5 |
About Bin Shi
Bin Shi is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Building and Construction, having authored 54 papers that have together received 390 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Anomaly Detection Techniques and Applications (7 papers), Imbalanced Data Classification Techniques (6 papers), Advanced Data Storage Technologies (6 papers), Traffic Prediction and Management Techniques (5 papers), Topic Modeling (5 papers), IoT and Edge/Fog Computing (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Rehabilitation (34 citations), Computer Networks and Communications (72 citations), Pharmacology (26 citations), Information Systems (64 citations) and Artificial Intelligence (87 citations). Bin Shi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xijing He, Feng Zhang, Qinghua Zheng, Bo Dong, Hua Wei, Haiying Shen, Xiaofeng Chen, Xue Zhang, Zan Yue and Jing Wang. Their work appears in journals such as Engineering, Expert Systems with Applications, Future Internet, Knowledge-Based Systems and IEEE Access.
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.