Enming Yuan

595 total citations
4 papers, 79 citations indexed

About

Enming Yuan is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Enming Yuan has authored 4 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Artificial Intelligence and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Enming Yuan's work include Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (3 papers) and Complex Network Analysis Techniques (1 paper). Enming Yuan is often cited by papers focused on Recommender Systems and Techniques (3 papers), Advanced Graph Neural Networks (3 papers) and Complex Network Analysis Techniques (1 paper). Enming Yuan collaborates with scholars based in China and Canada. Enming Yuan's co-authors include Wei Guo, Huifeng Guo, Ruiming Tang, Chengkai Liu, Zhicheng He, Bo Chen, Xiu Li, Yingxue Zhang, Rui Zhang and Yaochen Hu and has published in prestigious journals such as IEEE Control Systems Letters, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval and Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

In The Last Decade

Enming Yuan

4 papers receiving 78 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enming Yuan China 3 65 48 25 15 10 4 79
Yancheng He China 8 69 1.1× 114 2.4× 14 0.6× 28 1.9× 7 0.7× 16 167
Liangjun Zang China 5 47 0.7× 137 2.9× 12 0.5× 37 2.5× 3 0.3× 17 173
Karl Pichotta United States 4 32 0.5× 207 4.3× 19 0.8× 27 1.8× 4 0.4× 8 221
Maciej Kula United States 1 40 0.6× 23 0.5× 6 0.2× 17 1.1× 4 0.4× 3 50
Maria Maistro Italy 7 49 0.8× 76 1.6× 19 0.8× 16 1.1× 38 119
Lianzhe Huang China 5 41 0.6× 288 6.0× 10 0.4× 27 1.8× 3 0.3× 5 319
Giannis Karamanolakis United States 4 30 0.5× 73 1.5× 4 0.2× 18 1.2× 3 0.3× 8 97
Ehsan Hajiramezanali United States 6 11 0.2× 58 1.2× 7 0.3× 11 0.7× 3 0.3× 8 96
Payal Bajaj United States 6 27 0.4× 84 1.8× 4 0.2× 42 2.8× 3 0.3× 11 127

Countries citing papers authored by Enming Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Enming Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enming Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Enming Yuan. A scholar is included among the top collaborators of Enming Yuan 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 Enming Yuan. Enming Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Yuan, Enming, et al.. (2024). Uncertainty Set Learning for Adaptive Robust Economic Dispatch. IEEE Control Systems Letters. 8. 1156–1161. 1 indexed citations
2.
Guo, Wei, Enming Yuan, Huifeng Guo, et al.. (2023). Compressed Interaction Graph based Framework for Multi-behavior Recommendation. 960–970. 17 indexed citations
3.
Yuan, Enming, Wei Guo, Zhicheng He, et al.. (2022). Multi-Behavior Sequential Transformer Recommender. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1642–1652. 52 indexed citations
4.
Yuan, Enming, Wei Guo, Zhicheng He, et al.. (2022). Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2549–2558. 9 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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