Hao Ma

12.1k total citations · 7 hit papers
59 papers, 6.5k citations indexed

About

Hao Ma is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hao Ma has authored 59 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 28 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hao Ma's work include Recommender Systems and Techniques (24 papers), Topic Modeling (13 papers) and Advanced Graph Neural Networks (11 papers). Hao Ma is often cited by papers focused on Recommender Systems and Techniques (24 papers), Topic Modeling (13 papers) and Advanced Graph Neural Networks (11 papers). Hao Ma collaborates with scholars based in United States, Hong Kong and China. Hao Ma's co-authors include Michael R. Lyu, Irwin King, Zibin Zheng, Haixuan Yang, Chao Liu, Dengyong Zhou, Kuansan Wang, Z. Shen, Yang Song and Bo-June Hsu and has published in prestigious journals such as Physics of Fluids, IEEE Transactions on Knowledge and Data Engineering and Applied Sciences.

In The Last Decade

Hao Ma

55 papers receiving 6.3k citations

Hit Papers

Recommender systems with social regularization 2008 2026 2014 2020 2011 2008 2009 2010 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Ma United States 30 5.0k 3.0k 2.0k 1.3k 880 59 6.5k
Aixin Sun Singapore 45 3.7k 0.7× 4.9k 1.6× 836 0.4× 1.3k 1.0× 1.1k 1.2× 223 8.7k
Wayne Xin Zhao China 43 4.1k 0.8× 5.2k 1.7× 571 0.3× 1.4k 1.1× 429 0.5× 192 7.4k
Bamshad Mobasher United States 48 7.8k 1.6× 4.0k 1.3× 2.0k 1.0× 1.6k 1.3× 596 0.7× 180 10.0k
Jianyong Wang China 39 3.3k 0.7× 3.7k 1.2× 1.3k 0.6× 702 0.6× 610 0.7× 142 6.2k
Jesús Bobadilla Spain 25 3.8k 0.8× 1.7k 0.6× 708 0.3× 1.4k 1.1× 229 0.3× 64 4.5k
Steffen Rendle Germany 20 5.6k 1.1× 3.9k 1.3× 734 0.4× 1.9k 1.5× 283 0.3× 32 6.9k
Iadh Ounis United Kingdom 38 3.2k 0.6× 3.1k 1.1× 619 0.3× 869 0.7× 403 0.5× 277 5.1k
Defu Lian China 33 2.9k 0.6× 2.7k 0.9× 549 0.3× 978 0.8× 313 0.4× 168 4.8k
Craig Macdonald United Kingdom 33 2.8k 0.6× 2.6k 0.9× 510 0.3× 710 0.6× 363 0.4× 239 4.4k
Matthew Richardson United States 21 1.5k 0.3× 2.9k 1.0× 633 0.3× 696 0.6× 1.2k 1.4× 42 5.0k

Countries citing papers authored by Hao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Hao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Ma. A scholar is included among the top collaborators of Hao 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 Hao Ma. Hao 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
1.
Ma, Hao, et al.. (2025). Desorption and Competitive Adsorption of Mn²⁺and Cd²⁺ from Acidic Wastewater by RM-L73. Polish Journal of Environmental Studies. 35(1). 1273–1283.
2.
Peng, Jianhua, et al.. (2024). Prediction of oxygen content in flue gas of power plant with stacked target-enhanced autoencoder and attention-based LSTM. Measurement. 235. 115036–115036. 3 indexed citations
4.
Ma, Hao, Dieter Büchler, Bernhard Schölkopf, & Michael Muehlebach. (2023). Reinforcement learning with model-based feedforward inputs for robotic table tennis. Autonomous Robots. 47(8). 1387–1403. 4 indexed citations
5.
Wang, Qifan, Yang Li, Jingang Wang, et al.. (2022). SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. 263–276. 6 indexed citations
6.
Mao, Yuning, Lambert Mathias, Amjad Almahairi, et al.. (2022). UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6253–6264. 47 indexed citations
7.
Ma, Hao, Botao Zhang, Chi Zhang, & Oskar Haidn. (2021). Generative adversarial networks with physical evaluators for spray simulation of pintle injector. AIP Advances. 11(7). 4 indexed citations
8.
Xiao, Huaping, et al.. (2021). Research status of integrated intelligent soft robots. Journal of ZheJiang University (Engineering Science). 55(2). 229–243. 1 indexed citations
9.
Hu, Miaomiao, et al.. (2021). A Three-Vector-Based Model Predictive Flux Control for PMSM Drives. Journal of Electrical Engineering and Technology. 16(5). 2673–2684. 5 indexed citations
10.
Qiu, Jiezhong, Hao Ma, Omer Levy, et al.. (2020). Blockwise Self-Attention for Long Document Understanding. 2555–2565. 93 indexed citations
11.
Shen, Z., Hao Ma, & Kuansan Wang. (2018). A Web-scale system for scientific knowledge exploration. 87–92. 62 indexed citations
12.
Ma, Hao, et al.. (2016). Tamper Detection of Batch Websites Based on Text Comparison. 573–579. 2 indexed citations
13.
Yih, Wen-tau & Hao Ma. (2016). Question Answering with Knowledge Base, Web and Beyond. 1219–1221. 6 indexed citations
14.
Bi, Bin, Hao Ma, Bo-June Hsu, et al.. (2015). Learning to Recommend Related Entities to Search Users. 139–148. 22 indexed citations
15.
Sun, Huan, Hao Ma, Wen-tau Yih, et al.. (2015). Open Domain Question Answering via Semantic Enrichment. 1045–1055. 63 indexed citations
16.
Ma, Hao, Irwin King, & Michael R. Lyu. (2011). Mining Web Graphs for Recommendations. IEEE Transactions on Knowledge and Data Engineering. 24(6). 1051–1064. 36 indexed citations
17.
King, Irwin, Michael R. Lyu, & Hao Ma. (2010). Introduction to social recommendation. 1355–1356. 45 indexed citations
18.
Ma, Hao, Michael R. Lyu, & Irwin King. (2009). Learning to recommend with trust and distrust relationships. 189–196. 130 indexed citations
19.
Ma, Hao, Haixuan Yang, Michael R. Lyu, & Irwin King. (2008). SoRec. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 931–940. 1006 indexed citations breakdown →
20.
Ma, Hao, Irwin King, & Michael R. Lyu. (2007). Effective missing data prediction for collaborative filtering. 39–46. 309 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026