Bolin Ding

1.7k total citations · 2 hit papers
21 papers, 947 citations indexed

About

Bolin Ding is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Bolin Ding has authored 21 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 15 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Bolin Ding's work include Recommender Systems and Techniques (11 papers), Advanced Bandit Algorithms Research (8 papers) and Topic Modeling (6 papers). Bolin Ding is often cited by papers focused on Recommender Systems and Techniques (11 papers), Advanced Bandit Algorithms Research (8 papers) and Topic Modeling (6 papers). Bolin Ding collaborates with scholars based in United States, China and Hong Kong. Bolin Ding's co-authors include Fei Sun, Yaliang Li, Zhaoyang Liu, Xu Xie, Jinyang Gao, Jiandong Zhang, Bin Cui, Shiwen Wu, Yongxin Tong and Lei Chen and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Very Large Data Bases.

In The Last Decade

Bolin Ding

20 papers receiving 921 citations

Hit Papers

align trajectories

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.

Contrastive Learning for Sequential Recommendation

2022 301 citations Xu Xie, Fei Sun et al. profile →
Towards Universal Sequence Representation Learning for Recommender Systems

2022 123 citations Yupeng Hou, Shanlei Mu et al. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bolin Ding United States	13	653	609	152	152	148	21	947
Qinyong Wang China	15	1.2k 1.9×	1.1k 1.9×	184 1.2×	215 1.4×	330 2.2×	26	1.6k
Leyu Lin China	23	877 1.3×	1.0k 1.7×	107 0.7×	269 1.8×	268 1.8×	60	1.4k
Ranieri Baraglia Italy	15	367 0.6×	265 0.4×	291 1.9×	60 0.4×	80 0.5×	58	735
Lan Nie United States	8	379 0.6×	361 0.6×	95 0.6×	132 0.9×	171 1.2×	12	702
Yong Yu China	15	605 0.9×	602 1.0×	265 1.7×	21 0.1×	103 0.7×	44	927
Yifeng Zheng China	22	468 0.7×	962 1.6×	199 1.3×	21 0.1×	255 1.7×	92	1.4k
Shiwen Wu China	5	628 1.0×	680 1.1×	86 0.6×	105 0.7×	208 1.4×	6	951
Holger Bast Germany	10	243 0.4×	288 0.5×	301 2.0×	61 0.4×	145 1.0×	24	682

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

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

20 of 20 papers shown

Cui, Yue, Liuyi Yao, Weijie Shi, et al.. (2025). Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 16357–16375.

Ding, Bolin, et al.. (2025). Exploring Selective Layer Fine-Tuning in Federated Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 1 indexed citations

Deng, Yang, Yaliang Li, Bolin Ding, & Wai Lam. (2022). Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. IEEE Transactions on Knowledge and Data Engineering. 35(11). 11541–11555. 12 indexed citations

Mu, Shanlei, Yaliang Li, Wayne Xin Zhao, et al.. (2022). Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1401–1411. 13 indexed citations

Chen, Chong, Fei Sun, Min Zhang, & Bolin Ding. (2022). Recommendation Unlearning. Proceedings of the ACM Web Conference 2022. 2768–2777. 47 indexed citations

Wang, Zhen, Carl Yang, Yaliang Li, et al.. (2022). KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. Proceedings of the ACM Web Conference 2022. 1301–1310. 6 indexed citations

Hou, Yupeng, Shanlei Mu, Wayne Xin Zhao, et al.. (2022). Towards Universal Sequence Representation Learning for Recommender Systems. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 585–593. 123 indexed citations breakdown →

Xie, Yuexiang, Zhen Wang, Yaliang Li, et al.. (2021). FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. 3795–3805. 15 indexed citations

Yao, Liuyi, Shanlei Mu, Wayne Xin Zhao, et al.. (2021). Debiasing Learning based Cross-domain Recommendation. 3190–3199. 19 indexed citations

10.

Xie, Xu, Zhaoyang Liu, Shiwen Wu, et al.. (2021). CausCF. 4253–4263. 4 indexed citations

11.

Deng, Yang, Yaliang Li, Fei Sun, Bolin Ding, & Wai Lam. (2021). Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. 1431–1441. 83 indexed citations

12.

Liu, Zhaoyang, Haokun Chen, Fei Sun, et al.. (2020). Intent Preference Decoupling for User Representation on Online Recommender System. 2575–2582. 9 indexed citations

13.

Dziedzic, Adam, Jingjing Wang, Sudipto Das, et al.. (2018). Columnstore and B+ tree - Are Hybrid Physical Designs Important?. 177–190. 14 indexed citations

14.

Tong, Yongxin, Libin Wang, Zimu Zhou, et al.. (2017). Flexible online task assignment in real-time spatial data. Proceedings of the VLDB Endowment. 10(11). 1334–1345. 114 indexed citations

15.

Tao, Fangbo, et al.. (2013). EventCube: Multi-Dimensional Search and Mining of Structured and Text Data. International Conference on Management of Data. 4 indexed citations

16.

Tong, Yongxin, Lei Chen, & Bolin Ding. (2012). Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 270–281. 53 indexed citations

17.

Lo, David, Bolin Ding, Lucia, & Jiawei Han. (2011). Bidirectional mining of non-redundant recurrent rules from a sequence database. 1. 1043–1054. 6 indexed citations

18.

Ding, Bolin, David Lo, Jiawei Han, & Siau‐Cheng Khoo. (2009). Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database. Proceedings - International Conference on Data Engineering. 1024–1035. 72 indexed citations

19.

Ding, Bolin, et al.. (2008). Stream Sequential Pattern Mining with Precise Error Bounds. 941–946. 33 indexed citations

20.

Wang, Shan, Zhaohui Peng, Jun Zhang, et al.. (2006). NUITS: a novel user interface for efficient keyword search over databases. Very Large Data Bases. 1143–1146. 18 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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