Dian Shen
Impact in
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- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Age of Information Optimization
- Caching and Content Delivery
- Information Systems top 10%
- Cloud Computing and Resource Management
Papers in
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- IoT and Edge/Fog Computing 14
- Software-Defined Networks and 5G 14
- Caching and Content Delivery 7
- Interconnection Networks and Systems 5
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- Cloud Computing and Resource Management 16
- Co-authors
- Fang Dong (36 shared papers)Junzhou Luo (24 shared papers)Junxue Zhang (12 shared papers)Jinghui Zhang (10 shared papers)Qiang He (5 shared papers)Hui‐Tian Wang (3 shared papers)Tingting Zhang (1 shared paper)Kai‐Kit Wong (1 shared paper)
In The Last Decade
Dian Shen
40 papers receiving 331 citations
Dian Shen's Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 195
- Information Systems 103
- Microbiology 16
- Computer Vision and Pattern Recognition 48
- Artificial Intelligence 72
Countries citing papers authored by Dian Shen
This map shows the geographic impact of Dian Shen'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 Dian Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian Shen more than expected).
Fields of papers citing papers by Dian Shen
This network shows the impact of papers produced by Dian Shen. 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 Dian Shen. The network helps show where Dian Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dian Shen, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 50 | |
| 2 | Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens Hit paper breakdown → | 2025 | 33 |
| 3 | 2019 | 25 | |
| 4 | 2006 | 25 | |
| 5 | 2023 | 22 | |
| 6 | 2014 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2017 | 18 | |
| 9 | 2022 | 13 | |
| 10 | 2016 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2014 | 4 |
About Dian Shen
Dian Shen is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 346 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), IoT and Edge/Fog Computing (14 papers), Software-Defined Networks and 5G (14 papers), Caching and Content Delivery (7 papers), Privacy-Preserving Technologies in Data (5 papers), Interconnection Networks and Systems (5 papers), IoT Networks and Protocols (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (195 citations), Information Systems (103 citations), Microbiology (16 citations), Computer Vision and Pattern Recognition (48 citations) and Artificial Intelligence (72 citations). Dian Shen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Fang Dong, Junzhou Luo, Junxue Zhang, Jinghui Zhang, Qiang He, Hui‐Tian Wang, Tingting Zhang, Kai‐Kit Wong, Jiahui Jin and Meng Wang. Their work appears in journals such as IEEE Transactions on Mobile Computing, Tsinghua Science & Technology, Computer Networks, IEEE Transactions on Services Computing and IEEE/ACM Transactions on Networking.
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.