Sian Jin
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
-
- Computer Graphics and Visualization Techniques
Papers in
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- Algorithms and Data Compression 14
- Stochastic Gradient Optimization Techniques 2
- Neural Networks and Applications 2
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- Advanced Data Storage Technologies 14
- Co-authors
- Dingwen Tao (20 shared papers)Franck Cappello (14 shared papers)Sheng Di (14 shared papers)Jiannan Tian (9 shared papers)Kai Zhao (11 shared papers)Xin Liang (5 shared papers)Zizhong Chen (3 shared papers)Suren Byna (3 shared papers)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (4 papers)Future Generation Computer Systems (1 paper)Proceedings of the VLDB Endowment (1 paper)ArXiv.org (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Sian Jin
24 papers receiving 247 citations
Peers
Comparison fields: 5 of 38
- Hardware and Architecture 89
- Computer Graphics and Computer-Aided Design 16
- Computer Networks and Communications 105
- Artificial Intelligence 108
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by Sian Jin
This map shows the geographic impact of Sian 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 Sian Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sian Jin more than expected).
Fields of papers citing papers by Sian Jin
This network shows the impact of papers produced by Sian 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 Sian Jin. The network helps show where Sian Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Sian 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 33 | |
| 2 | 2020 | 25 | |
| 3 | 2023 | 24 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 20 | |
| 6 | 2024 | 16 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2021 | 2 |
About Sian Jin
Sian Jin is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 29 papers that have together received 248 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (14 papers), Algorithms and Data Compression (14 papers), Parallel Computing and Optimization Techniques (14 papers), Advanced Data Compression Techniques (6 papers), Advanced Neural Network Applications (4 papers), Computer Graphics and Visualization Techniques (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (89 citations), Computer Graphics and Computer-Aided Design (16 citations), Computer Networks and Communications (105 citations), Artificial Intelligence (108 citations) and Computer Vision and Pattern Recognition (65 citations). Sian Jin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Dingwen Tao, Franck Cappello, Sheng Di, Jiannan Tian, Kai Zhao, Xin Liang, Zizhong Chen, Suren Byna, Wen Xia and Yunhe Feng. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Future Generation Computer Systems, Proceedings of the VLDB Endowment, ArXiv.org and HAL (Le Centre pour la Communication Scientifique Directe).
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.