Renliang Weng

14 total papers · 514 total citations
7 papers, 330 citations indexed

About

Renliang Weng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Renliang Weng has authored 7 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Renliang Weng's work include Face and Expression Recognition (4 papers), Face recognition and analysis (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Renliang Weng is often cited by papers focused on Face and Expression Recognition (4 papers), Face recognition and analysis (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Renliang Weng collaborates with scholars based in Singapore, China and United States. Renliang Weng's co-authors include Yap‐Peng Tan, Jiwen Lu, Wongun Choi, Changshui Zhang, Wei Ding, Peng Dai, Jie Zhou, Junlin Hu, Amir Sadeghian and Rajeev Yasarla and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Renliang Weng

7 papers receiving 314 citations

Author Peers

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

Author Last Decade Papers Cites
Renliang Weng 291 76 60 25 22 7 330
Musiur Raza Abidi 215 0.7× 81 1.1× 96 1.6× 17 0.7× 28 1.3× 10 332
Lu Leng 263 0.9× 91 1.2× 56 0.9× 24 1.0× 13 0.6× 17 348
Joshua Gleason 220 0.8× 51 0.7× 27 0.5× 38 1.5× 16 0.7× 11 311
Mani Ranjbar 244 0.8× 30 0.4× 123 2.0× 11 0.4× 28 1.3× 8 321
Shangzhen Luan 227 0.8× 28 0.4× 70 1.2× 38 1.5× 24 1.1× 5 345
Mengran Gou 199 0.7× 44 0.6× 63 1.1× 17 0.7× 59 2.7× 11 261
Yong-Joong Kim 290 1.0× 24 0.3× 104 1.7× 17 0.7× 79 3.6× 8 352
R Meghana 115 0.4× 16 0.2× 72 1.2× 11 0.4× 22 1.0× 6 340
Mohammad Nabati 103 0.4× 86 1.1× 65 1.1× 33 1.3× 36 1.6× 11 317
Iván Huerta 229 0.8× 30 0.4× 24 0.4× 10 0.4× 20 0.9× 14 268

Countries citing papers authored by Renliang Weng

Since Specialization
Citations

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

Fields of papers citing papers by Renliang Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renliang Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Renliang Weng. A scholar is included among the top collaborators of Renliang Weng 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 Renliang Weng. Renliang Weng 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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