Bailu Ding
Impact in
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Software System Performance and Reliability
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 7
- Advanced Data Storage Technologies 5
- Distributed systems and fault tolerance 5
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- Cloud Computing and Resource Management 4
- Co-authors
- Sudipto Das (4 shared papers)Vivek Narasayya (5 shared papers)Surajit Chaudhuri (6 shared papers)Johannes Gehrke (5 shared papers)Łucja Kot (3 shared papers)Wentao Wu (2 shared papers)Ryan Marcus (1 shared paper)Lin Ma (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (5 papers)Journal of Physics A Mathematical and Theoretical (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Bailu Ding
12 papers receiving 329 citations
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 281
- Signal Processing 90
- Information Systems 151
- Hardware and Architecture 22
- Artificial Intelligence 103
Countries citing papers authored by Bailu Ding
This map shows the geographic impact of Bailu 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 Bailu Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bailu Ding more than expected).
Fields of papers citing papers by Bailu Ding
This network shows the impact of papers produced by Bailu 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 Bailu Ding. The network helps show where Bailu Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Bailu 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 | 2019 | 93 | |
| 2 | 2020 | 42 | |
| 3 | 2018 | 38 | |
| 4 | 2015 | 38 | |
| 5 | 2015 | 32 | |
| 6 | 2021 | 29 | |
| 7 | 2015 | 20 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 13 | |
| 10 | 2019 | 9 | |
| 11 | 2009 | 7 | |
| 12 | 2024 | 4 | |
| 13 | 2025 | 0 | |
| 14 | 2026 | 0 | |
| 15 | 2025 | 0 |
About Bailu Ding
Bailu Ding is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Condensed Matter Physics, having authored 15 papers that have together received 341 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Advanced Data Storage Technologies (5 papers), Data Management and Algorithms (5 papers), Distributed systems and fault tolerance (5 papers), Cloud Computing and Resource Management (4 papers), Theoretical and Computational Physics (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Graph theory and applications (1 paper). The work is most often cited by research in Computer Networks and Communications (281 citations), Signal Processing (90 citations), Information Systems (151 citations), Hardware and Architecture (22 citations) and Artificial Intelligence (103 citations). Bailu Ding has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Sudipto Das, Vivek Narasayya, Surajit Chaudhuri, Johannes Gehrke, Łucja Kot, Wentao Wu, Ryan Marcus, Lin Ma, Adith Swaminathan and Philip A. Bernstein. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Physics A Mathematical and Theoretical and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.