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)Anand Sivasubramaniam (1 shared paper)Ning An (1 shared paper)Jinghui Zhang (14 shared papers)
- Journals
- Neurocomputing (3 papers)IEEE Transactions on Services Computing (2 papers)Knowledge-Based Systems (2 papers)World Wide Web (2 papers)Computer Networks (1 paper)
- Partner nations
- ChinaBangladeshUnited States
In The Last Decade
Jiahui Jin
71 papers receiving 736 citations
Peers
Comparison fields: 5 of 103
- Computer Networks and Communications 384
- Information Systems 340
- Signal Processing 89
- Artificial Intelligence 201
- Computer Vision and Pattern Recognition 106
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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 71 | |
| 2 | Cloud computing:architecture and key technologies | 2011 | 71 |
| 3 | 2011 | 68 | |
| 4 | 2023 | 58 | |
| 5 | 2002 | 41 | |
| 6 | 2017 | 28 | |
| 7 | 2018 | 27 | |
| 8 | 2022 | 27 | |
| 9 | 2023 | 25 | |
| 10 | 2020 | 23 | |
| 11 | 2015 | 16 | |
| 12 | 2017 | 16 | |
| 13 | 2021 | 14 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2020 | 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 84 papers that have together received 776 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (20 papers), Advanced Graph Neural Networks (14 papers), Caching and Content Delivery (13 papers), Data Management and Algorithms (11 papers), IoT and Edge/Fog Computing (10 papers), Graph Theory and Algorithms (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 (384 citations), Information Systems (340 citations), Signal Processing (89 citations), Artificial Intelligence (201 citations) and Computer Vision and Pattern Recognition (106 citations). Jiahui Jin has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Junzhou Luo, Fang Dong, Aibo Song, Runqun Xiong, Feng Shan, Anand Sivasubramaniam, Ning An, Jinghui Zhang, Samamon Khemmarat and Yuxiang Wang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Services Computing, Knowledge-Based Systems, World Wide Web and Computer Networks.
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.