Yuanmeng Yan

32 total papers · 937 total citations
23 papers, 544 citations indexed

About

Yuanmeng Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yuanmeng Yan has authored 23 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Yuanmeng Yan's work include Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (6 papers). Yuanmeng Yan is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (6 papers). Yuanmeng Yan collaborates with scholars based in China and United States. Yuanmeng Yan's co-authors include Weiran Xu, Fuzheng Zhang, Wei Wu, Sirui Wang, Rumei Li, Keqing He, Hong Xu, Zijun Liu, Sihong Liu and Jinchao Zhang and has published in prestigious journals such as IEEE Access, Neurocomputing and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Yuanmeng Yan

23 papers receiving 528 citations

Hit Papers

ConSERT: A Contrastive Fr... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Yuanmeng Yan 501 117 61 25 21 23 544
Long Duong 472 0.9× 125 1.1× 45 0.7× 12 0.5× 17 0.8× 18 564
Charles T. Hemphill 476 1.0× 83 0.7× 38 0.6× 17 0.7× 48 2.3× 16 523
Lu Zhang 411 0.8× 102 0.9× 102 1.7× 17 0.7× 13 0.6× 11 480
Luu Anh Tuan 430 0.9× 66 0.6× 93 1.5× 15 0.6× 24 1.1× 31 489
Robert Bobrow 447 0.9× 105 0.9× 43 0.7× 43 1.7× 46 2.2× 37 544
Yutai Hou 454 0.9× 106 0.9× 67 1.1× 14 0.6× 24 1.1× 16 554
Ashok C. Popat 441 0.9× 108 0.9× 85 1.4× 31 1.2× 34 1.6× 17 548
Aleksandr Drozd 375 0.7× 56 0.5× 49 0.8× 38 1.5× 19 0.9× 28 474
Yao Ming 306 0.6× 236 2.0× 49 0.8× 19 0.8× 39 1.9× 30 526
Shuohuan Wang 522 1.0× 131 1.1× 75 1.2× 15 0.6× 20 1.0× 15 595

Countries citing papers authored by Yuanmeng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuanmeng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanmeng Yan

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

All Works

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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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