Ruining He

4.2k total citations · 2 hit papers
11 papers, 1.2k citations indexed

About

Ruining He is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ruining He has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Ruining He's work include Recommender Systems and Techniques (4 papers), Advanced Graph Neural Networks (3 papers) and Visual Attention and Saliency Detection (2 papers). Ruining He is often cited by papers focused on Recommender Systems and Techniques (4 papers), Advanced Graph Neural Networks (3 papers) and Visual Attention and Saliency Detection (2 papers). Ruining He collaborates with scholars based in United States and China. Ruining He's co-authors include Julian McAuley, Bhargav Kanagal, Joshua Ainslie, Anirudh Ravula, Wang-Cheng Kang, Junfeng Li, Chunbin Lin, Steven Swanson, Yannis Papakonstantinou and Jianguo Wang and has published in prestigious journals such as Chemosphere, Proceedings of the VLDB Endowment and Journal of Water Process Engineering.

In The Last Decade

Ruining He

11 papers receiving 1.1k citations

Hit Papers

VBPR: Visual Bayesian Personalized Ranking from Implicit ... 2016 2026 2019 2022 2016 2016 100 200 300 400 500
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. VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
    2016 513 citations Ruining He, Julian McAuley Proceedings of the AAAI Conference on Artificial Intelligence profile →
  2. Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
    2016 401 citations Ruining He, Julian McAuley profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruining He United States 9 867 667 442 189 86 11 1.2k
Jianxin Chang China 10 623 0.7× 556 0.8× 179 0.4× 118 0.6× 71 0.8× 17 840
Sandeep Pandey India 19 518 0.6× 395 0.6× 128 0.3× 228 1.2× 311 3.6× 49 1.0k
Rong Gao China 14 310 0.4× 272 0.4× 131 0.3× 31 0.2× 52 0.6× 55 545
Liu Fang-ai China 16 270 0.3× 278 0.4× 106 0.2× 30 0.2× 114 1.3× 65 612
Wolfgang Woerndl Germany 13 269 0.3× 140 0.2× 142 0.3× 30 0.2× 160 1.9× 33 516
Huan Huo Australia 15 220 0.3× 265 0.4× 90 0.2× 36 0.2× 84 1.0× 49 563
Xiaoyao Zheng China 13 220 0.3× 246 0.4× 80 0.2× 20 0.1× 82 1.0× 54 507

Countries citing papers authored by Ruining He

Since Specialization
Citations

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

Fields of papers citing papers by Ruining He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruining He

This figure shows the co-authorship network connecting the top 25 collaborators of Ruining He. A scholar is included among the top collaborators of Ruining He 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 Ruining He. Ruining He 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.
Pan, Xinlei, Junfeng Li, Ruining He, Yu Tian, & Heliang Pang. (2022). Reconsidering operation pattern for cation-exchange resin assistant anaerobic fermentation of waste activated sludge: Shorting residence period towards dosage-reduction and anti-fouling. Chemosphere. 307(Pt 3). 135920–135920. 17 indexed citations
2.
Yang, Wenyu, et al.. (2022). Insights into the radical and nonradical oxidation degradation of ciprofloxacin in peroxodisulfate activation by ultraviolet light. Journal of Water Process Engineering. 49. 103184–103184. 25 indexed citations
3.
Wang, Qifan, Yi Fang, Anirudh Ravula, et al.. (2022). Deep Partial Multiplex Network Embedding. 1053–1062. 6 indexed citations
4.
He, Ruining, Anirudh Ravula, Bhargav Kanagal, & Joshua Ainslie. (2021). RealFormer: Transformer Likes Residual Attention. 929–943. 54 indexed citations
5.
He, Ruining, Wang-Cheng Kang, & Julian McAuley. (2018). Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. 5264–5268. 30 indexed citations
6.
Wang, Jianguo, et al.. (2017). MILC. Proceedings of the VLDB Endowment. 10(8). 853–864. 24 indexed citations
7.
He, Ruining, et al.. (2017). SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation. 1476–1482. 29 indexed citations
8.
He, Ruining & Julian McAuley. (2016). Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. 191–200. 401 indexed citations breakdown →
9.
He, Ruining, et al.. (2016). Learning Compatibility Across Categories for Heterogeneous Item Recommendation. 937–942. 55 indexed citations
10.
He, Ruining & Julian McAuley. (2016). VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 513 indexed citations breakdown →
11.
He, Ruining, Chunbin Lin, & Julian McAuley. (2016). Fashionista. 199–202. 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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