Weizhi Ma

3.2k total citations · 1 hit paper
76 papers, 1.6k citations indexed

About

Weizhi Ma is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Weizhi Ma has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Information Systems, 44 papers in Artificial Intelligence and 19 papers in Management Science and Operations Research. Recurrent topics in Weizhi Ma's work include Recommender Systems and Techniques (42 papers), Topic Modeling (23 papers) and Advanced Bandit Algorithms Research (18 papers). Weizhi Ma is often cited by papers focused on Recommender Systems and Techniques (42 papers), Topic Modeling (23 papers) and Advanced Bandit Algorithms Research (18 papers). Weizhi Ma collaborates with scholars based in China, Singapore and Netherlands. Weizhi Ma's co-authors include Shaoping Ma, Yiqun Liu, Min Zhang, Chenyang Wang, Chong Chen, Jiaxin Mao, Yifan Wang, Yongfeng Zhang, Woojeong Jin and Xiuqiang He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Journal of Medical Internet Research.

In The Last Decade

Weizhi Ma

65 papers receiving 1.5k citations

Hit Papers

A Survey on the Fairness ... 2022 2026 2023 2024 2022 40 80 120
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. A Survey on the Fairness of Recommender Systems
    2022 133 citations Weizhi Ma, Min Zhang et al. ACM Transactions on Information Systems profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Weizhi Ma 1.1k 1.1k 251 238 109 76 1.6k
Pengjie Ren 1.8k 1.6× 2.0k 1.8× 464 1.8× 511 2.1× 191 1.8× 98 2.7k
Qingyao Ai 1.0k 0.9× 1.3k 1.1× 165 0.7× 349 1.5× 84 0.8× 89 1.7k
Zhicheng Dou 1.3k 1.2× 1.1k 1.0× 132 0.5× 436 1.8× 163 1.5× 169 2.0k
Hamed Zamani 944 0.8× 1.5k 1.3× 152 0.6× 464 1.9× 92 0.8× 101 1.9k
Michael Bendersky 1.2k 1.1× 1.4k 1.3× 316 1.3× 374 1.6× 136 1.2× 100 2.1k
Alejandro Bellogín 1.5k 1.3× 894 0.8× 407 1.6× 396 1.7× 215 2.0× 95 1.9k
Pável Calado 625 0.6× 703 0.6× 128 0.5× 140 0.6× 140 1.3× 64 1.2k
Max Jakob 613 0.5× 2.3k 2.0× 514 2.0× 285 1.2× 141 1.3× 7 2.6k
Massimiliano Ciaramita 646 0.6× 1.7k 1.5× 147 0.6× 181 0.8× 72 0.7× 52 2.0k
Daniel E. Rose 641 0.6× 472 0.4× 121 0.5× 137 0.6× 100 0.9× 18 1.1k

Countries citing papers authored by Weizhi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Weizhi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizhi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Weizhi Ma. A scholar is included among the top collaborators of Weizhi Ma 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 Weizhi Ma. Weizhi Ma 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
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Ma, Weizhi, et al.. (2025). User Immersion-aware Short Video Recommendation. ACM Transactions on Information Systems. 44(1). 1–33.
3.
Ma, Weizhi, et al.. (2025). The Landscape of Medical AI in China. NEJM AI. 2(7). 2 indexed citations
4.
Srinivasan, Sahana, Hongwei Ji, David Ziyou Chen, et al.. (2025). Can off-the-shelf visual large language models detect and diagnose ocular diseases from retinal photographs?. BMJ Open Ophthalmology. 10(1). e002076–e002076.
5.
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Ma, Weizhi, Peijie Sun, Haiyang Wu, et al.. (2025). CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation. 1789–1798.
7.
Pushpanathan, Krithi, Sahana Srinivasan, Wendy Wong, et al.. (2025). Can OpenAI's New o1 Model Outperform Its Predecessors in Common Eye Care Queries?. Ophthalmology Science. 5(4). 100745–100745. 3 indexed citations
8.
Li, Junkai, et al.. (2024). Citation-Enhanced Generation for LLM-based Chatbots. 1451–1466. 6 indexed citations
9.
Gao, Chongming, et al.. (2024). EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. 977–987. 4 indexed citations
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Ma, Weizhi, et al.. (2024). Sequential Recommendation with Latent Relations based on Large Language Model. 335–344. 16 indexed citations
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13.
Ma, Weizhi, Bin Sheng, Yang Liu, et al.. (2024). Evolution of Future Medical AI Models — From Task-Specific, Disease-Centric to Universal Health. NEJM AI. 1(8). 10 indexed citations
14.
Ma, Weizhi, et al.. (2024). Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. 2081–2090. 6 indexed citations
15.
Ma, Weizhi, et al.. (2024). ReChorus2.0: A Modular and Task-Flexible Recommendation Library. 454–464. 1 indexed citations
16.
Zheng, Wendi, et al.. (2024). MACRec: A Multi-Agent Collaboration Framework for Recommendation. 2760–2764. 3 indexed citations
17.
Ma, Weizhi, et al.. (2023). Measuring Item Global Residual Value for Fair Recommendation. 269–278. 2 indexed citations
18.
Zhang, Min, Weizhi Ma, Ye Jin, et al.. (2023). Estimating Rare Disease Incidences With Large-scale Internet Search Data: Development and Evaluation of a Two-step Machine Learning Method. SHILAP Revista de lepidopterología. 3. e42721–e42721. 3 indexed citations
19.
Sun, Peijie, et al.. (2023). Intent-aware Ranking Ensemble for Personalized Recommendation. 1004–1013. 6 indexed citations
20.
Ma, Weizhi, et al.. (2023). Two-sided Calibration for Quality-aware Responsible Recommendation. 223–233. 4 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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