Baoyun Peng

21 total papers · 794 total citations
8 papers, 434 citations indexed

About

Baoyun Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Baoyun Peng has authored 8 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Baoyun Peng's work include Domain Adaptation and Few-Shot Learning (3 papers), Face recognition and analysis (2 papers) and Biometric Identification and Security (2 papers). Baoyun Peng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Face recognition and analysis (2 papers) and Biometric Identification and Security (2 papers). Baoyun Peng collaborates with scholars based in China, Hong Kong and United States. Baoyun Peng's co-authors include Yichao Wu, Jin Xiao, Jiaheng Liu, Dongsheng Li, Zhaoning Zhang, Shunfeng Zhou, Yu Liu, Xiaolin Hu, Junjie Yan and Yu Liu and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Baoyun Peng

7 papers receiving 421 citations

Hit Papers

Correlation Congruence fo... 2019 2026 2021 2023 2019 100 200 300
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. Correlation Congruence for Knowledge Distillation
    2019 310 citations Baoyun Peng, Jin Xiao et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Baoyun Peng 303 261 32 27 25 8 434
Yuling Xi 291 1.0× 154 0.6× 39 1.2× 37 1.4× 17 0.7× 10 427
Haojie Lin 219 0.7× 212 0.8× 34 1.1× 43 1.6× 21 0.8× 20 471
Zheyan Shen 187 0.6× 350 1.3× 22 0.7× 23 0.9× 23 0.9× 17 490
Jing Li 310 1.0× 181 0.7× 31 1.0× 22 0.8× 58 2.3× 17 482
Ben Fielding 197 0.7× 212 0.8× 23 0.7× 20 0.7× 40 1.6× 6 463
Naresh Babu Bynagari 288 1.0× 136 0.5× 23 0.7× 17 0.6× 28 1.1× 14 485
Sara Sabour 269 0.9× 220 0.8× 24 0.8× 13 0.5× 30 1.2× 5 461
Hangbo Bao 222 0.7× 273 1.0× 22 0.7× 9 0.3× 16 0.6× 8 416
Nicholas Frosst 244 0.8× 234 0.9× 24 0.8× 13 0.5× 29 1.2× 4 434
Jonathan Frankle 245 0.8× 316 1.2× 41 1.3× 19 0.7× 21 0.8× 12 426

Countries citing papers authored by Baoyun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Baoyun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoyun Peng

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