Baoyun Peng

800 total citations · 1 hit paper
8 papers, 445 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 445 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), Biometric Identification and Security (2 papers) and Cloud Computing and Resource Management (2 papers). Baoyun Peng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Biometric Identification and Security (2 papers) and Cloud Computing and Resource Management (2 papers). Baoyun Peng collaborates with scholars based in China, Hong Kong and United States. Baoyun Peng's co-authors include Jiaheng Liu, Yichao Wu, Jin Xiao, Dongsheng Li, Zhaoning Zhang, Shunfeng Zhou, Yu Liu, Yu Liu, Xiaolin Hu and Ding Liang and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Baoyun Peng

7 papers receiving 432 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Correlation Congruence for Knowledge Distillation

2019 320 citations Baoyun Peng, Jin Xiao et al. profile →

Peers

Baoyun Peng

CVPR

AI

IS

CNC

SP

Nguyen Anh Tu South Korea

Jian Cao China

Nicholas Frosst United States

Hangbo Bao China

Asad Malik China

Wanqi Yang China

Haoyu Zhang China

Xiaodan Li China

Xiaoqiang Yan China

Gabriel Ilharco United States

Nguyen Anh Tu South Korea

Baoyun Peng

297 ×1.0

CVPR

131 ×0.5

AI

24 ×0.7

IS

36 ×1.3

CNC

23 ×0.9

SP

Citations per year, relative to Baoyun Peng Baoyun Peng (= 1×) peers Nguyen Anh Tu

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

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Peng, Baoyun, et al.. (2024). Cognitive Intelligence: Driven by Knowledge Graph and Big Model Collaboration. 204–209.

2.

Li, Dongsheng, et al.. (2021). Optimizing Resource Allocation for Data-Parallel Jobs Via GCN-Based Prediction. IEEE Transactions on Parallel and Distributed Systems. 32(9). 2188–2201. 5 indexed citations

3.

Peng, Baoyun, Jin Xiao, Yichao Wu, & Dongsheng Li. (2019). Geometry Guided Feature Aggregation in Video Face Recognition. 2670–2677. 2 indexed citations

4.

Peng, Baoyun, Jin Xiao, Dongsheng Li, et al.. (2019). Correlation Congruence for Knowledge Distillation. 5006–5015. 320 indexed citations breakdown →

5.

Xiao, Jin, Baoyun Peng, Yichao Wu, et al.. (2019). Knowledge Distillation via Route Constrained Optimization. 1345–1354. 101 indexed citations

6.

Peng, Baoyun, Heng Yang, Dongsheng Li, & Zhaoning Zhang. (2018). An Empirical Study of Face Recognition under Variations. 10. 310–317. 3 indexed citations

7.

Su, Huayou, et al.. (2018). Deep Discriminative Clustering Network. 1–7. 1 indexed citations

8.

Lin, Weiwei, Baoyun Peng, Liang Chen, & Bo Liu. (2013). Novel Resource Allocation Model and Algorithms for Cloud Computing. 77–82. 13 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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