Ping Wei

1.9k citations
105 papers · 1.2k · 1 hit paper · h-index 20

Impact in

Papers in

    • Human Pose and Action Recognition 23
    • Advanced Neural Network Applications 18
    • Video Surveillance and Tracking Methods 16
    • Multimodal Machine Learning Applications 11
    • Handwritten Text Recognition Techniques 6
    • Anomaly Detection Techniques and Applications 14

Ping Wei

90 papers receiving 1.1k citations

Ping Wei's Hit Papers

VILA: On Pre-training for Visual Language Models 2024 · 85 citations
850+1Years since publication255075

Peers

Ping Wei
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 873
  • Human-Computer Interaction 185
  • Artificial Intelligence 382
  • Media Technology 83
  • Automotive Engineering 73
Replace Vijay John with:
Vijay John Japan
Xiao Chu China
Qieshi Zhang China
Qiuhong Ke Australia
J. Woodfill United States
Konstantinos G. Derpanis Canada
Mohsen Soryani Iran
Thangarajah Akilan Canada
F. López-Ferreras Spain
Taojiannan Yang United States
Ping Wei relative to Vijay John Japan Vijay John's profile →
Citations per field
00.5×
Vijay John · 1×
Citations per year

Countries citing papers authored by Ping Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ping Wei Line = papers co-authored together Ping Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2
VILA: On Pre-training for Visual Language Models
Hit paper breakdown →
202485
3 201770
4 201758
5 201854
6 201652
7 201950
8 201350
9 201840
10 202238
11 202334
12 202033
13 201933
14 202232
15 202129
16 201725
17 201623
18 201921
19 200620
20 202019

About Ping Wei

Ping Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Electrical and Electronic Engineering and Computational Mechanics, having authored 105 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (23 papers), Advanced Neural Network Applications (18 papers), Video Surveillance and Tracking Methods (16 papers), Anomaly Detection Techniques and Applications (14 papers), Multimodal Machine Learning Applications (11 papers), Industrial Vision Systems and Defect Detection (10 papers), Sparse and Compressive Sensing Techniques (6 papers) and Handwritten Text Recognition Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (873 citations), Human-Computer Interaction (185 citations), Artificial Intelligence (382 citations), Media Technology (83 citations) and Automotive Engineering (73 citations). Ping Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Nanning Zheng, Song‐Chun Zhu, Yibiao Zhao, Huan Li, Jiapeng Li, Ping Hu, Hongbin Sun, Siyuan Huang, Siyuan Qi and Meiqin Liu. Their work appears in journals such as Neurocomputing, IEEE Transactions on Multimedia, Pattern Recognition, IEEE Transactions on Instrumentation and Measurement and Neural Computing and Applications.

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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