Jiahui Jin
Impact in
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- Information Systems top 2%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
Papers in
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- Caching and Content Delivery 13
- IoT and Edge/Fog Computing 10
- Distributed and Parallel Computing Systems 7
- Software-Defined Networks and 5G 6
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- Cloud Computing and Resource Management 20
- Co-authors
- Junzhou Luo (32 shared papers)Fang Dong (22 shared papers)Aibo Song (14 shared papers)Runqun Xiong (13 shared papers)Feng Shan (2 shared papers)Jinghui Zhang (15 shared papers)Ning An (1 shared paper)Anand Sivasubramaniam (1 shared paper)
- Journals
- Neurocomputing (3 papers)World Wide Web (2 papers)Knowledge-Based Systems (2 papers)IEEE Transactions on Services Computing (2 papers)Journal of Investigative Medicine (1 paper)
- Partner nations
- ChinaBangladeshHong Kong
In The Last Decade
Jiahui Jin
74 papers receiving 769 citations
Peers
Comparison fields: 5 of 96
- Computer Networks and Communications 386
- Information Systems 342
- Signal Processing 89
- Artificial Intelligence 209
- Computer Vision and Pattern Recognition 112
Countries citing papers authored by Jiahui Jin
This map shows the geographic impact of Jiahui Jin'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 Jiahui Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiahui Jin more than expected).
Fields of papers citing papers by Jiahui Jin
This network shows the impact of papers produced by Jiahui Jin. 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 Jiahui Jin. The network helps show where Jiahui Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiahui Jin, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cloud computing:architecture and key technologies | 2011 | 72 |
| 2 | 2011 | 71 | |
| 3 | 2011 | 68 | |
| 4 | 2023 | 64 | |
| 5 | 2002 | 42 | |
| 6 | 2022 | 29 | |
| 7 | 2017 | 28 | |
| 8 | 2023 | 27 | |
| 9 | 2018 | 27 | |
| 10 | 2020 | 24 | |
| 11 | 2017 | 16 | |
| 12 | 2015 | 16 | |
| 13 | 2021 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2018 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2022 | 10 |
About Jiahui Jin
Jiahui Jin is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 86 papers that have together received 809 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (20 papers), Advanced Graph Neural Networks (15 papers), Caching and Content Delivery (13 papers), Data Management and Algorithms (12 papers), Graph Theory and Algorithms (11 papers), IoT and Edge/Fog Computing (10 papers), Distributed and Parallel Computing Systems (7 papers) and Software-Defined Networks and 5G (6 papers). The work is most often cited by research in Computer Networks and Communications (386 citations), Information Systems (342 citations), Signal Processing (89 citations), Artificial Intelligence (209 citations) and Computer Vision and Pattern Recognition (112 citations). Jiahui Jin has collaborated with scholars based in China, Bangladesh and Hong Kong. Frequent co-authors include Junzhou Luo, Fang Dong, Aibo Song, Runqun Xiong, Feng Shan, Jinghui Zhang, Ning An, Anand Sivasubramaniam, Yuxiang Wang and Samamon Khemmarat. Their work appears in journals such as Neurocomputing, World Wide Web, Knowledge-Based Systems, IEEE Transactions on Services Computing and Journal of Investigative Medicine.
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.