Haokun Chen

529 total citations
11 papers, 295 citations indexed

About

Haokun Chen is a scholar working on Information Systems, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Haokun Chen has authored 11 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Management Science and Operations Research and 3 papers in Artificial Intelligence. Recurrent topics in Haokun Chen's work include Recommender Systems and Techniques (5 papers), Advanced Bandit Algorithms Research (4 papers) and Smart Grid Energy Management (2 papers). Haokun Chen is often cited by papers focused on Recommender Systems and Techniques (5 papers), Advanced Bandit Algorithms Research (4 papers) and Smart Grid Energy Management (2 papers). Haokun Chen collaborates with scholars based in China, United States and Germany. Haokun Chen's co-authors include Weinan Zhang, Ruiming Tang, Yong Yu, Xinyi Dai, Xiuqiang He, Kan Ren, Yuzhou Zhang, Han Cai, Xutao Li and Yuzhou Zhang and has published in prestigious journals such as Organic Letters, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

Haokun Chen

10 papers receiving 287 citations

Peers

Haokun Chen
Chongming Gao China
Derek Zhiyuan Cheng United States
Ziniu Hu China
Jiayu Han China
Balázs Hidasi Hungary
Lipyeow Lim United States
Sean Owen
Zhiping Gu China
Bettina Fazzinga Italy
Sunita Barve India
Chongming Gao China
Haokun Chen
Citations per year, relative to Haokun Chen Haokun Chen (= 1×) peers Chongming Gao

Countries citing papers authored by Haokun Chen

Since Specialization
Citations

This map shows the geographic impact of Haokun Chen'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 Haokun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haokun Chen more than expected).

Fields of papers citing papers by Haokun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haokun Chen. 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 Haokun Chen. The network helps show where Haokun Chen may publish in the future.

Co-authorship network of co-authors of Haokun Chen

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

All Works

11 of 11 papers shown
1.
Chen, Haokun, Denis Krompaß, Jindong Gu, & Volker Tresp. (2025). FedPop: Federated Population-based Hyperparameter Tuning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(15). 15776–15784.
2.
Chen, Haokun, Zhongyi Zeng, Zhi Zhou, et al.. (2024). Calcium(II)-Mediated Three-Component Selenylation of gem-Difluoroalkenes: Access to α,α-Difluoroalkyl-β-selenides. Organic Letters. 26(29). 6274–6278. 4 indexed citations
3.
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
4.
5.
Chen, Haokun, Chenxu Zhu, Ruiming Tang, et al.. (2021). Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. IEEE Transactions on Knowledge and Data Engineering. 35(4). 4018–4032. 10 indexed citations
6.
Dai, Xinyi, Haokun Chen, Weinan Zhang, et al.. (2020). Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. 179–188. 111 indexed citations
7.
Liu, Zhaoyang, Haokun Chen, Fei Sun, et al.. (2020). Intent Preference Decoupling for User Representation on Online Recommender System. 2575–2582. 9 indexed citations
8.
Liu, Feng, Ruiming Tang, Xutao Li, et al.. (2020). State representation modeling for deep reinforcement learning based recommendation. Knowledge-Based Systems. 205. 106170–106170. 50 indexed citations
9.
Chen, Haokun, Xinyi Dai, Han Cai, et al.. (2019). Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3312–3320. 92 indexed citations
10.
Cao, Xuezhi, et al.. (2018). Neural Link Prediction over Aligned Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 11 indexed citations
11.
Tang, Liansheng, et al.. (2016). A Quantification Model for the Structure of Clay Materials. Journal of Applied Biomaterials & Functional Materials. 14(1_suppl). 29–34. 1 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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2026