Bolin Ding

6.9k total citations · 2 hit papers
119 papers, 3.8k citations indexed

About

Bolin Ding is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Bolin Ding has authored 119 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 42 papers in Computer Networks and Communications and 40 papers in Signal Processing. Recurrent topics in Bolin Ding's work include Data Management and Algorithms (37 papers), Privacy-Preserving Technologies in Data (36 papers) and Advanced Database Systems and Queries (29 papers). Bolin Ding is often cited by papers focused on Data Management and Algorithms (37 papers), Privacy-Preserving Technologies in Data (36 papers) and Advanced Database Systems and Queries (29 papers). Bolin Ding collaborates with scholars based in United States, China and Hong Kong. Bolin Ding's co-authors include Jiawei Han, Yaliang Li, Roland Kays, Jeffrey Xu Yu, Lu Qin, Zhenhui Li, Surajit Chaudhuri, Yongxin Tong, Lei Chen and Jingren Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Computing Surveys.

In The Last Decade

Bolin Ding

110 papers receiving 3.7k citations

Hit Papers

Simple and Deep Graph Convolutional Networks 2020 2026 2022 2024 2020 2024 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Simple and Deep Graph Convolutional Networks
    2020 233 citations Zhewei Wei, Bolin Ding et al. arXiv (Cornell University) profile →
  2. Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
    2024 63 citations Yaliang Li, Bolin Ding et al. Proceedings of the VLDB Endowment profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bolin Ding United States 31 1.9k 1.3k 1.2k 755 591 119 3.8k
Philippe Cudré-Mauroux Switzerland 31 2.1k 1.1× 559 0.4× 1.3k 1.1× 1.1k 1.5× 346 0.6× 173 3.9k
Sihem Amer-Yahia France 29 1.4k 0.7× 1.0k 0.8× 1.1k 1.0× 1.2k 1.6× 375 0.6× 149 3.0k
Wei Fan United States 38 4.2k 2.2× 862 0.7× 1.1k 0.9× 1.1k 1.5× 662 1.1× 133 5.4k
Man Lung Yiu Hong Kong 36 1.4k 0.7× 2.3k 1.8× 1.3k 1.2× 737 1.0× 628 1.1× 124 3.8k
Vincent W. Zheng Singapore 31 2.7k 1.4× 661 0.5× 667 0.6× 1.3k 1.7× 1.1k 1.8× 79 5.1k
Jianhua Feng China 38 2.0k 1.0× 1.9k 1.5× 1.6k 1.4× 1.5k 2.0× 523 0.9× 126 4.5k
Jianliang Xu Hong Kong 44 2.3k 1.2× 1.5k 1.1× 3.0k 2.6× 1.3k 1.8× 679 1.1× 353 6.0k
Shuo Shang China 35 1.0k 0.5× 2.1k 1.6× 865 0.7× 859 1.1× 581 1.0× 141 3.8k
Yunjun Gao China 30 1.2k 0.6× 1.5k 1.2× 886 0.8× 579 0.8× 746 1.3× 261 3.3k
Ge Yu China 30 1.6k 0.8× 641 0.5× 1.1k 0.9× 721 1.0× 636 1.1× 380 3.8k

Countries citing papers authored by Bolin Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bolin Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Bolin Ding. A scholar is included among the top collaborators of Bolin 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 Bolin Ding. Bolin Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wei, Zhewei, Xin Chen, Yankai Lin, et al.. (2025). LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. 1492–1523.
2.
Qin, Zhen, Daoyuan Chen, Wenhao Zhang, et al.. (2025). The Synergy Between Data and Multi-Modal Large Language Models: A Survey From Co-Development Perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8415–8434. 1 indexed citations
3.
Xiao, Xiaokui, et al.. (2024). AAA: An Adaptive Mechanism for Locally Differentially Private Mean Estimation. Proceedings of the VLDB Endowment. 17(8). 1843–1855. 1 indexed citations
4.
Yao, Liuyi, et al.. (2024). Is Sharing Neighbor Generator in Federated Graph Learning Safe?. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8568–8579.
5.
6.
Ding, Bolin, et al.. (2024). Learned Query Optimizers. 13(4). 250–310. 1 indexed citations
7.
Yao, Liuyi, et al.. (2023). Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4743–4755. 13 indexed citations
8.
Li, Pengfei, et al.. (2023). ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads. Proceedings of the VLDB Endowment. 17(2). 197–210. 13 indexed citations
9.
Chen, Ziqian, et al.. (2022). Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. ACM Transactions on Information Systems. 41(3). 1–26. 6 indexed citations
10.
Tao, Zhiqiang, Yaliang Li, Bolin Ding, et al.. (2020). Learning to Mutate with Hypergradient Guided Population. Neural Information Processing Systems. 33. 17641–17651. 4 indexed citations
11.
Chen, Ming, Zhewei Wei, Bolin Ding, et al.. (2020). Scalable Graph Neural Networks via Bidirectional Propagation. arXiv (Cornell University). 33. 14556–14566. 3 indexed citations
12.
Wang, Tianhao, Bolin Ding, Min Xu, et al.. (2020). Improving utility and security of the shuffler-based differential privacy. Proceedings of the VLDB Endowment. 13(13). 3545–3558. 18 indexed citations
13.
Wang, Tianhao, Min Xu, Bolin Ding, et al.. (2019). Practical and Robust Privacy Amplification with Multi-Party Differential Privacy.. arXiv (Cornell University). 3 indexed citations
14.
Ding, Bolin, Janardhan Kulkarni, & Sergey Yekhanin. (2017). Collecting telemetry data privately. Neural Information Processing Systems. 30. 3574–3583. 53 indexed citations
15.
Kandula, Srikanth, et al.. (2016). Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters. International Conference on Management of Data. 13 indexed citations
16.
Jin, Haiming, Lü Su, Bolin Ding, Klara Nahrstedt, & Nikita Borisov. (2016). Enabling Privacy-Preserving Incentives for Mobile Crowd Sensing Systems. 344–353. 107 indexed citations
17.
Tong, Yongxin, Jieying She, Bolin Ding, Libin Wang, & Lei Chen. (2016). Online mobile Micro-Task Allocation in spatial crowdsourcing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 49–60. 215 indexed citations
18.
Yang, Mohan, Bolin Ding, Surajit Chaudhuri, & Kaushik Chakrabarti. (2014). Finding patterns in a knowledge base using keywords to compose table answers. Proceedings of the VLDB Endowment. 7(14). 1809–1820. 27 indexed citations
19.
Jin, Ruoming, Lin Liu, Bolin Ding, & Haixun Wang. (2011). Reachability Computation in Uncertain Graphs. Very Large Data Bases.
20.
Ding, Bolin, Jeffrey Xu Yu, & Lu Qin. (2008). Finding time-dependent shortest paths over large graphs. 8 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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