Ji Sun
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Software System Performance and Reliability
Papers in
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- Advanced Database Systems and Queries 10
- Caching and Content Delivery 2
- Optimization and Search Problems 1
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- Data Management and Algorithms 11
- Co-authors
- Guoliang Li (13 shared papers)Xuanhe Zhou (5 shared papers)Chengliang Chai (3 shared papers)Jianhua Feng (2 shared papers)Nan Tang (3 shared papers)Yue Han (3 shared papers)Haitao Yuan (3 shared papers)Jintao Zhang (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (8 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Journal of Optimization Theory and Applications (1 paper)Applied Mechanics and Materials (1 paper)
- Partner nations
- ChinaQatarUnited States
In The Last Decade
Ji Sun
16 papers receiving 544 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 252
- Computer Networks and Communications 353
- Artificial Intelligence 308
- Information Systems 172
- Management Science and Operations Research 83
Countries citing papers authored by Ji Sun
This map shows the geographic impact of Ji Sun'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 Ji Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Sun more than expected).
Fields of papers citing papers by Ji Sun
This network shows the impact of papers produced by Ji Sun. 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 Ji Sun. The network helps show where Ji Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 137 | |
| 2 | 2020 | 96 | |
| 3 | 2021 | 62 | |
| 4 | 2020 | 61 | |
| 5 | 2021 | 49 | |
| 6 | 2020 | 45 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2019 | 10 | |
| 12 | 2008 | 5 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2025 | 0 |
About Ji Sun
Ji Sun is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Management Science and Operations Research and Information Systems, having authored 17 papers that have together received 549 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Advanced Database Systems and Queries (10 papers), Data Stream Mining Techniques (5 papers), Cloud Computing and Resource Management (4 papers), Data Quality and Management (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Caching and Content Delivery (2 papers) and Optimization and Search Problems (1 paper). The work is most often cited by research in Signal Processing (252 citations), Computer Networks and Communications (353 citations), Artificial Intelligence (308 citations), Information Systems (172 citations) and Management Science and Operations Research (83 citations). Ji Sun has collaborated with scholars based in China, Qatar and United States. Frequent co-authors include Guoliang Li, Xuanhe Zhou, Chengliang Chai, Jianhua Feng, Nan Tang, Yue Han, Haitao Yuan, Jintao Zhang, Ling Feng and Xiang Yu. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Journal of Optimization Theory and Applications and Applied Mechanics and Materials.
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.