Jialin Ding
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
Papers in
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- Advanced Database Systems and Queries 5
-
- Data Management and Algorithms 5
- Time Series Analysis and Forecasting 2
- Co-authors
- Tim Kraska (4 shared papers)Vikram Nathan (3 shared papers)Mohammad Alizadeh (1 shared paper)Samuel Madden (2 shared papers)Peter Bailis (2 shared papers)Edward Gan (2 shared papers)Ed H. (1 shared paper)Alex Beutel (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (3 papers)Nature Communications (1 paper)BMJ Supportive & Palliative Care (1 paper)Journal of Clinical Oncology (1 paper)ACM Transactions on Database Systems (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jialin Ding
16 papers receiving 288 citations
Peers
Comparison fields: 5 of 50
- Signal Processing 112
- Computer Networks and Communications 141
- Health Informatics 7
- Artificial Intelligence 111
- Information Systems 77
Countries citing papers authored by Jialin Ding
This map shows the geographic impact of Jialin Ding'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 Jialin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialin Ding more than expected).
Fields of papers citing papers by Jialin Ding
This network shows the impact of papers produced by Jialin Ding. 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 Jialin Ding. The network helps show where Jialin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jialin Ding, 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 | 2020 | 78 | |
| 2 | SageDB: A Learned Database System | 2019 | 70 |
| 3 | 2018 | 33 | |
| 4 | 2021 | 28 | |
| 5 | 2021 | 25 | |
| 6 | 2019 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 2014 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 0 |
About Jialin Ding
Jialin Ding is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 17 papers that have together received 300 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Data Management and Algorithms (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Data Mining Algorithms and Applications (2 papers), Time Series Analysis and Forecasting (2 papers), Esophageal Cancer Research and Treatment (2 papers), Advanced Radiotherapy Techniques (1 paper) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Signal Processing (112 citations), Computer Networks and Communications (141 citations), Health Informatics (7 citations), Artificial Intelligence (111 citations) and Information Systems (77 citations). Jialin Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tim Kraska, Vikram Nathan, Mohammad Alizadeh, Samuel Madden, Peter Bailis, Edward Gan, Ed H., Alex Beutel, Qingtao Qiu and Mohammad Alizadeh. Their work appears in journals such as Proceedings of the VLDB Endowment, Nature Communications, BMJ Supportive & Palliative Care, Journal of Clinical Oncology and ACM Transactions on Database Systems.
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.