Lirong Wu

81 total papers · 1.6k total citations
38 papers, 787 citations indexed

About

Lirong Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Lirong Wu has authored 38 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Lirong Wu's work include Advanced Graph Neural Networks (12 papers), Topic Modeling (6 papers) and Text and Document Classification Technologies (5 papers). Lirong Wu is often cited by papers focused on Advanced Graph Neural Networks (12 papers), Topic Modeling (6 papers) and Text and Document Classification Technologies (5 papers). Lirong Wu collaborates with scholars based in China, United States and Germany. Lirong Wu's co-authors include Stan Z. Li, Zhangyang Gao, Cheng Tan, Haitao Lin, Jun Xia, Bozhen Hu, Yongjie Xu, Siyuan Li, Haibin Shen and Kejie Huang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Lirong Wu

33 papers receiving 780 citations

Hit Papers

SimVP: Simpler yet Better... 2022 2026 2023 2024 2022 2022 50 100 150
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. SimVP: Simpler yet Better Video Prediction
    2022 159 citations Zhangyang Gao, Cheng Tan et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  2. SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
    2022 144 citations Jun Xia, Lirong Wu et al. Proceedings of the ACM Web Conference 2022 profile →

Author Peers

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

Author Last Decade Papers Cites
Lirong Wu 407 221 104 91 70 38 787
Zhangyang Gao 273 0.7× 200 0.9× 110 1.1× 56 0.6× 50 0.7× 32 721
Xiang Wang 345 0.8× 143 0.6× 92 0.9× 62 0.7× 24 0.3× 62 717
H.P. Foote 185 0.5× 286 1.3× 67 0.6× 47 0.5× 84 1.2× 35 683
Weiwei Liu 559 1.4× 437 2.0× 39 0.4× 116 1.3× 84 1.2× 67 902
Marcin Budka 315 0.8× 81 0.4× 71 0.7× 53 0.6× 115 1.6× 54 842
Rocco Langone 336 0.8× 254 1.1× 36 0.3× 23 0.3× 111 1.6× 38 719
Yu Chen 294 0.7× 231 1.0× 85 0.8× 56 0.6× 12 0.2× 67 904
Shuxin Zheng 209 0.5× 155 0.7× 81 0.8× 32 0.4× 31 0.4× 39 699
Shyam Boriah 337 0.8× 93 0.4× 63 0.6× 95 1.0× 28 0.4× 31 678
Kadim Taşdemi̇r 319 0.8× 263 1.2× 71 0.7× 19 0.2× 47 0.7× 42 671

Countries citing papers authored by Lirong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lirong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lirong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lirong Wu. A scholar is included among the top collaborators of Lirong Wu 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 Lirong Wu. Lirong Wu 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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2026