Zhenhua Dong

3.9k total citations
127 papers, 2.2k citations indexed

About

Zhenhua Dong is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Zhenhua Dong has authored 127 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 55 papers in Information Systems and 25 papers in Management Science and Operations Research. Recurrent topics in Zhenhua Dong's work include Recommender Systems and Techniques (52 papers), Advanced Bandit Algorithms Research (21 papers) and Topic Modeling (19 papers). Zhenhua Dong is often cited by papers focused on Recommender Systems and Techniques (52 papers), Advanced Bandit Algorithms Research (21 papers) and Topic Modeling (19 papers). Zhenhua Dong collaborates with scholars based in China, Hong Kong and Sweden. Zhenhua Dong's co-authors include Chao Lü, Alan Pak Tao Lau, Xiuqiang He, Kangping Zhong, Zhenqi Liu, Weidong Chai, Wenhong Cao, Wenhui Wang, Qi Sui and Quanyu Dai and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

In The Last Decade

Zhenhua Dong

110 papers receiving 2.1k citations

Peers

Zhenhua Dong
Răzvan Bunescu United States
Sheng Li China
Chen Ma China
Luis M. Vaquero Spain
Di Jin China
Dilip Kumar Sharma India
Hwanjo Yu South Korea
Wen Hua Australia
Shamik Sural India
Xinyu Dai China
Răzvan Bunescu United States
Zhenhua Dong
Citations per year, relative to Zhenhua Dong Zhenhua Dong (= 1×) peers Răzvan Bunescu

Countries citing papers authored by Zhenhua Dong

Since Specialization
Citations

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

Fields of papers citing papers by Zhenhua Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhua Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenhua Dong. A scholar is included among the top collaborators of Zhenhua Dong 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 Zhenhua Dong. Zhenhua Dong 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.
Dai, Sunhao, et al.. (2025). Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. 1676–1686. 1 indexed citations
2.
Dai, Sunhao, et al.. (2025). Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. 998–1001. 3 indexed citations
3.
Dai, Sunhao, Jieming Zhu, Zhenhua Dong, et al.. (2024). Modeling User Attention in Music Recommendation. 761–774. 2 indexed citations
4.
Du, Zhaocheng, et al.. (2024). LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. 38–46. 1 indexed citations
5.
Cai, Guohao, et al.. (2024). Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. 4455–4466. 1 indexed citations
6.
Zhu, Jieming, et al.. (2024). EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. 3245–3254. 5 indexed citations
7.
Zhu, Jieming, Yankai Chen, Guohao Cai, et al.. (2024). EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. 4819–4827.
8.
Zhu, Jieming, et al.. (2024). CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation. 969–974. 4 indexed citations
9.
Chen, Xu, Sirui Chen, Jun Xu, et al.. (2023). P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. 3701–3711. 17 indexed citations
10.
Xu, Jun, et al.. (2023). Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. 1549–1558. 8 indexed citations
11.
Zhu, Jieming, Guohao Cai, Junjie Huang, et al.. (2023). ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. 5728–5738. 2 indexed citations
12.
Xu, Jun, et al.. (2023). Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. 129–138. 1 indexed citations
13.
Zhu, Jieming, Guohao Cai, Quanyu Dai, et al.. (2023). FINAL: Factorized Interaction Layer for CTR Prediction. 2006–2010. 16 indexed citations
14.
15.
Wang, Yejing, Zhaocheng Du, Xiangyu Zhao, et al.. (2023). Single-shot Feature Selection for Multi-task Recommendations. 341–351. 21 indexed citations
16.
Chen, Xu, Jun Xu, Zhenhua Dong, & Ji-Rong Wen. (2023). Syntactic-Informed Graph Networks for Sentence Matching. ACM Transactions on Information Systems. 42(2). 1–29. 2 indexed citations
17.
Liu, Dugang, Pengxiang Cheng, Zhenhua Dong, et al.. (2022). KDCRec: Knowledge Distillation for Counterfactual Recommendation Via Uniform Data. IEEE Transactions on Knowledge and Data Engineering. 1–14. 11 indexed citations
18.
Liu, Dugang, Pengxiang Cheng, Hong Zhu, et al.. (2022). Debiased Representation Learning in Recommendation via Information Bottleneck. 1(1). 1–27. 11 indexed citations
19.
Li, Kai, Zhenhua Dong, Xiaodong Wang, et al.. (2018). New strategy for eliminating zero-sequence circulating current between parallel operating three-level NPC voltage source inverters. VBN Forskningsportal (Aalborg Universitet). 2 indexed citations
20.
Chai, Weidong, Zhenhua Dong, Nasui Wang, et al.. (2012). Glucagon-Like Peptide 1 Recruits Microvasculature and Increases Glucose Use in Muscle via a Nitric Oxide–Dependent Mechanism. Diabetes. 61(4). 888–896. 162 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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