Bailu Ding

483 total citations
13 papers, 311 citations indexed

About

Bailu Ding is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Bailu Ding has authored 13 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 5 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Bailu Ding's work include Advanced Database Systems and Queries (7 papers), Distributed systems and fault tolerance (5 papers) and Data Management and Algorithms (5 papers). Bailu Ding is often cited by papers focused on Advanced Database Systems and Queries (7 papers), Distributed systems and fault tolerance (5 papers) and Data Management and Algorithms (5 papers). Bailu Ding collaborates with scholars based in United States, United Kingdom and Switzerland. Bailu Ding's co-authors include Sudipto Das, Vivek Narasayya, Johannes Gehrke, Surajit Chaudhuri, Łucja Kot, Wentao Wu, Ryan Marcus, Lin Ma, Adith Swaminathan and Philip A. Bernstein and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Physics A Mathematical and Theoretical and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Bailu Ding

12 papers receiving 299 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bailu Ding United States	9	260	139	95	77	27	13	311
Abhay Mehta United States	9	221 0.8×	133 1.0×	77 0.8×	138 1.8×	28 1.0×	16	270
Joel Coffman United States	9	153 0.6×	140 1.0×	106 1.1×	122 1.6×	20 0.7×	34	279
Laurent Mignet India	9	225 0.9×	130 0.9×	157 1.7×	102 1.3×	18 0.7×	14	307
Mert Akdere United States	6	258 1.0×	95 0.7×	93 1.0×	134 1.7×	32 1.2×	6	299
Andrew Lamb United States	6	226 0.9×	100 0.7×	105 1.1×	123 1.6×	22 0.8×	8	311
Mark Callaghan United States	5	333 1.3×	179 1.3×	75 0.8×	44 0.6×	12 0.4×	5	378
Stefan Heule United States	6	160 0.6×	68 0.5×	168 1.8×	87 1.1×	13 0.5×	8	275
Karl Schnaitter United States	11	276 1.1×	134 1.0×	109 1.1×	183 2.4×	37 1.4×	16	337
Susanne Englert United States	6	341 1.3×	140 1.0×	85 0.9×	111 1.4×	24 0.9×	8	387
Wai Gen Yee United States	9	245 0.9×	89 0.6×	86 0.9×	43 0.6×	5 0.2×	41	324

Countries citing papers authored by Bailu Ding

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bailu Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Bailu Ding. A scholar is included among the top collaborators of Bailu Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bailu Ding. Bailu Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Li, Yinan, Bailu Ding, Spyros Blanas, et al.. (2025). Scaling GPU-Accelerated Databases Beyond GPU Memory Size. Proceedings of the VLDB Endowment. 18(11). 4518–4531.

2.

Ding, Bailu, et al.. (2024). Extensible Query Optimizers in Practice. 14(3-4). 186–402. 2 indexed citations

3.

Ding, Bailu, Surajit Chaudhuri, Johannes Gehrke, & Vivek Narasayya. (2021). DSB. Proceedings of the VLDB Endowment. 14(13). 3376–3388. 28 indexed citations

4.

Ma, Lin, Bailu Ding, Sudipto Das, & Adith Swaminathan. (2020). Active Learning for ML Enhanced Database Systems. 175–191. 42 indexed citations

5.

Ding, Bailu, Surajit Chaudhuri, & Vivek Narasayya. (2020). Bitvector-aware Query Optimization for Decision Support Queries. 2011–2026. 13 indexed citations

6.

Ding, Bailu, Sudipto Das, Ryan Marcus, et al.. (2019). AI Meets AI. 1241–1258. 80 indexed citations

7.

Wang, Chi & Bailu Ding. (2019). Fast Approximation of Empirical Entropy via Subsampling. 658–667. 8 indexed citations

8.

Ding, Bailu, Łucja Kot, & Johannes Gehrke. (2018). Improving optimistic concurrency control through transaction batching and operation reordering. Proceedings of the VLDB Endowment. 12(2). 169–182. 36 indexed citations

9.

Ding, Bailu, Sudipto Das, Wentao Wu, Surajit Chaudhuri, & Vivek Narasayya. (2018). Plan stitch. Proceedings of the VLDB Endowment. 11(10). 1123–1136. 13 indexed citations

10.

Roy, Sudip, Łucja Kot, Gabriel Bender, et al.. (2015). The Homeostasis Protocol. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1311–1326. 33 indexed citations

11.

Ding, Bailu, Łucja Kot, Alan Demers, & Johannes Gehrke. (2015). Centiman. 262–275. 19 indexed citations

12.

Bernstein, Philip A., et al.. (2015). Optimizing Optimistic Concurrency Control for Tree-Structured, Log-Structured Databases. 1295–1309. 31 indexed citations

13.

Qi, Yi, Zhongzhi Zhang, Bailu Ding, Shuigeng Zhou, & Jihong Guan. (2009). Structural and spectral properties of a family of deterministic recursive trees: rigorous solutions. Journal of Physics A Mathematical and Theoretical. 42(16). 165103–165103. 6 indexed citations

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.

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