Bolin Ding
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Privacy-Preserving Technologies in Data 36
- Cryptography and Data Security 19
- Advanced Graph Neural Networks 14
- Data Stream Mining Techniques 14
- Machine Learning and Data Classification 9
-
- Advanced Database Systems and Queries 29
- Co-authors
- Jiawei Han (14 shared papers)Yaliang Li (40 shared papers)Roland Kays (5 shared papers)Jeffrey Xu Yu (6 shared papers)Lu Qin (4 shared papers)Zhenhui Li (6 shared papers)Surajit Chaudhuri (12 shared papers)Jingren Zhou (29 shared papers)
- Journals
- Proceedings of the VLDB Endowment (28 papers)IEEE Transactions on Knowledge and Data Engineering (6 papers)ACM Transactions on Information Systems (3 papers)The VLDB Journal (2 papers)Information Sciences (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Bolin Ding
115 papers receiving 3.8k citations
Bolin Ding's Hit Papers
Peers
Comparison fields: 5 of 110
- Signal Processing 1.3k
- Computer Science Applications 542
- Transportation 547
- Artificial Intelligence 2.0k
- Computer Networks and Communications 1.2k
Countries citing papers authored by Bolin Ding
This map shows the geographic impact of Bolin 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 Bolin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bolin Ding more than expected).
Fields of papers citing papers by Bolin Ding
This network shows the impact of papers produced by Bolin 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 Bolin Ding. The network helps show where Bolin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Bolin 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
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Simple and Deep Graph Convolutional Networks Hit paper breakdown → | 2020 | 237 |
| 2 | 2016 | 218 | |
| 3 | 2010 | 214 | |
| 4 | 2007 | 214 | |
| 5 | 2010 | 197 | |
| 6 | 2008 | 161 | |
| 7 | 2016 | 137 | |
| 8 | 2008 | 119 | |
| 9 | 2011 | 110 | |
| 10 | 2016 | 107 | |
| 11 | 2011 | 106 | |
| 12 | 2011 | 98 | |
| 13 | 2016 | 86 | |
| 14 | 2017 | 83 | |
| 15 | 2008 | 83 | |
| 16 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation Hit paper breakdown → | 2024 | 79 |
| 17 | 2008 | 71 | |
| 18 | 2011 | 69 | |
| 19 | 2019 | 64 | |
| 20 | 2016 | 60 |
About Bolin Ding
Bolin Ding is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computer Science Applications, having authored 122 papers that have together received 3.9k indexed citations. Recurring topics across this work include Data Management and Algorithms (37 papers), Privacy-Preserving Technologies in Data (36 papers), Advanced Database Systems and Queries (29 papers), Cryptography and Data Security (19 papers), Mobile Crowdsensing and Crowdsourcing (15 papers), Advanced Graph Neural Networks (14 papers), Data Stream Mining Techniques (14 papers) and Machine Learning and Data Classification (9 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Science Applications (542 citations), Transportation (547 citations), Artificial Intelligence (2.0k citations) and Computer Networks and Communications (1.2k citations). Bolin Ding has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jiawei Han, Yaliang Li, Roland Kays, Jeffrey Xu Yu, Lu Qin, Zhenhui Li, Surajit Chaudhuri, Jingren Zhou, Yongxin Tong and Lei Chen. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, The VLDB Journal and Information Sciences.
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.