Bangpeng Yao

2.8k citations
18 papers · 1.6k indexed · 2 hit papers · h-index 12
Topics
Advanced Image and Video Retrieval Techniques (12 papers)Human Pose and Action Recognition (7 papers)Multimodal Machine Learning Applications (6 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Bangpeng Yao

18 papers receiving 1.6k citations

Hit Papers

Modeling mutual context of object and human pose in human...201020262015202020102011100200300

Peers

Bangpeng Yao
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 1.5k
  • Artificial Intelligence 625
  • Human-Computer Interaction 155
  • Biomedical Engineering 113
  • Aerospace Engineering 68
Replace Enver Sangineto with:
Enver Sangineto Italy
Imran Saleemi United States
Wenhan Hu China
Rohit Girdhar United States
Tomasz Malisiewicz United States
Forrest Iandola United States
Robinson Piramuthu United States
Oswald Lanz Italy
Yansong Tang China
Matt Feiszli Israel
Bangpeng Yao relative to Enver Sangineto Italy Enver Sangineto's profile →
Citations per field
00.5×4.4×
Enver Sangineto · 1×
Citations per year

Countries citing papers authored by Bangpeng Yao

Since Specialization
Citations

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

Fields of papers citing papers by Bangpeng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bangpeng Yao

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 59
2 28
3 66
4 142
5 115
6 65
7 185
8
Human action recognition by learning bases of action attributes and partsbreakdown →
359
9 14
10
Modeling mutual context of object and human pose in human-object interaction activitiesbreakdown →
359
11 219
12
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
12
13 1
14 2
15 2
16 8
17 6
18 6

About Bangpeng Yao

Bangpeng Yao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Human Pose and Action Recognition (7 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Human-Computer Interaction (155 citations) and Artificial Intelligence (625 citations). Bangpeng Yao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Li Fei-Fei, Aditya Khosla, Leonidas Guibas, Andy Lin, Xiaoye Jiang, Gary Bradski, Vignesh Ramanathan, Kevin Tang, Daphne Koller and Sebastian Nowozin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Algorithms for Molecular Biology and Neural Information Processing Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026