Shaoping Ma

10.6k citations

278 papers · 6.2k indexed · 3 hit papers · h-index 40

Impact in

Information Systems top 0.05%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
- Expert finding and Q&A systems
- Web Data Mining and Analysis
Artificial Intelligence top 0.2%
- Topic Modeling
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining

Papers in ⓘ

Information Systems 194
- Recommender Systems and Techniques 83
- Information Retrieval and Search Behavior 83
- Web Data Mining and Analysis 64
- Expert finding and Q&A systems 45
Artificial Intelligence 137
- Topic Modeling 56
- Text and Document Classification Technologies 27

Co-authors: Yiqun Liu (209 shared papers)Min Zhang (128 shared papers)Chong Chen (12 shared papers)Weizhi Ma (47 shared papers)Yongfeng Zhang (10 shared papers)Jiaxin Mao (58 shared papers)Yiqun Liu (6 shared papers)Chenyang Wang (12 shared papers)
Journals: ACM Transactions on Information Systems (19 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)International Journal of Machine Learning and Cybernetics (2 papers)Information Retrieval (2 papers)Expert Systems with Applications (2 papers)
Partner nations: China United States United Kingdom

In The Last Decade

Shaoping Ma

262 papers receiving 6.0k citations

Hit Papers

align trajectories log scale

A Survey on the Fairness of Recommender Systems 2022 · 133 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 ACM Transactions on Information Systems
2018 Neural Attentional Rating Regression with Review-level Explanations
2014 Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

Peers

Countries citing papers authored by Shaoping Ma

Since Specialization

Citations

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

Fields of papers citing papers by Shaoping Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaoping Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaoping Ma Line = papers co-authored together Shaoping Ma links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

Showing the 20 most-cited of 278 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Explicit factor models for explainable recommendation based on phrase-level sentiment analysis Yongfeng Zhang, Guokun Lai, Min Zhang, Yi Zhang, Yiqun Liu, Shaoping Ma Hit paper breakdown →	2014	491
2	Neural Attentional Rating Regression with Review-level Explanations Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma Hit paper breakdown →	2018	374
3	How good your recommender system is? A survey on evaluations in recommendation International Journal of Machine Learning and Cybernetics ·Thiago Silveira, Min Zhang, Lin Xiao, Yiqun Liu, Shaoping Ma	2017	161
4	Relevance feedback in content-based image retrieval: bayesian framework, feature subspaces, and progressive learning IEEE Transactions on Image Processing ·Zhong Su, Hao Zhang, Shengze Li, Shaoping Ma	2003	140
5	Optimizing Dense Retrieval Model Training with Hard Negatives Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma	2021	136
6	Efficient Neural Matrix Factorization without Sampling for Recommendation ACM Transactions on Information Systems ·Chong Chen, Min Zhang, Yongfeng Zhang, Yiqun Liu, Shaoping Ma	2020	136
7	A Survey on the Fairness of Recommender Systems ACM Transactions on Information Systems ·Yifan Wang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma Hit paper breakdown →	2022	133
8	Jointly Learning Explainable Rules for Recommendation with Knowledge Graph Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren	2019	131
9	Graph Heterogeneous Multi-Relational Recommendation Proceedings of the AAAI Conference on Artificial Intelligence ·Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma	2021	116
10	Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation Proceedings of the AAAI Conference on Artificial Intelligence ·Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma	2020	106
11	Make It a Chorus Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma	2020	97
12	An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu, Shaoping Ma	2019	96
13	Rating-boosted latent topics: understanding users and items with ratings and reviews International Joint Conference on Artificial Intelligence ·Yunzhi Tan, Min Zhang, Yiqun Liu, Shaoping Ma	2016	95
14	Fairness-Aware Group Recommendation with Pareto-Efficiency The HKU Scholars Hub (University of Hong Kong) ·Lin Xiao, Min Zhang, Yongfeng Zhang, Zhaoquan Gu, Yiqun Liu, Shaoping Ma	2017	94
15	Towards Representation Alignment and Uniformity in Collaborative Filtering Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma	2022	93
16	An explicit material point finite element method for hyper‐velocity impact International Journal for Numerical Methods in Engineering ·Xiong Zhang, K. Y. Sze, Shaoping Ma	2005	89
17	Social Attentional Memory Network Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma	2019	84
18	BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma	2020	78
19	Automatic online news issue construction in web environment Canhui Wang, Min Zhang, Shaoping Ma, Liyun Ru	2008	76
20	Discovering actionable patterns in event data IBM Systems Journal ·Joseph L. Hellerstein, Shaoping Ma, Chang-Shing Perng	2002	73

About Shaoping Ma

Shaoping Ma is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications and Management Science and Operations Research, having authored 278 papers that have together received 6.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (83 papers), Information Retrieval and Search Behavior (83 papers), Web Data Mining and Analysis (64 papers), Topic Modeling (56 papers), Expert finding and Q&A systems (45 papers), Advanced Image and Video Retrieval Techniques (38 papers), Image Retrieval and Classification Techniques (28 papers) and Text and Document Classification Technologies (27 papers). The work is most often cited by research in Information Systems (4.2k citations), Artificial Intelligence (3.8k citations), Computer Vision and Pattern Recognition (1.2k citations), Computer Science Applications (304 citations) and Management Science and Operations Research (664 citations). Shaoping Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yiqun Liu, Min Zhang, Chong Chen, Weizhi Ma, Yongfeng Zhang, Jiaxin Mao, Yiqun Liu, Chenyang Wang, Min Zhang and Yi Zhang. Their work appears in journals such as ACM Transactions on Information Systems, International Journal of Radiation Oncology*Biology*Physics, International Journal of Machine Learning and Cybernetics, Information Retrieval and Expert Systems with Applications.

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.

Explore authors with similar magnitude of impact