Hefeng Wu

2.3k citations
59 papers · 1.5k · h-index 18

Impact in

Papers in

    • Video Surveillance and Tracking Methods 27
    • Advanced Image and Video Retrieval Techniques 18
    • Multimodal Machine Learning Applications 7
    • Advanced Neural Network Applications 7
    • Human Pose and Action Recognition 7
    • Image Enhancement Techniques 6
    • Domain Adaptation and Few-Shot Learning 9
    • Anomaly Detection Techniques and Applications 7

Hefeng Wu

54 papers receiving 1.5k citations

Peers

Hefeng Wu
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 1.1k
  • Transportation 178
  • Artificial Intelligence 693
  • Safety, Risk, Reliability and Quality 130
  • Building and Construction 153
Replace Imran Saleemi with:
Imran Saleemi United States
Yong Du China
Roberto J. López-Sastre Spain
Jinshi Cui China
Karttikeya Mangalam United States
Abdelaziz Bensrhair France
Shixiong Xia China
Tianshui Chen China
Lars Hammarstrand Sweden
Hefeng Wu relative to Imran Saleemi United States Imran Saleemi's profile →
Citations per field
00.5×2×3×3.9×
Imran Saleemi · 1×
Citations per year

Countries citing papers authored by Hefeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hefeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hefeng Wu, 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 Hefeng Wu Line = papers co-authored together Hefeng Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019249
2 2019246
3 2020138
4 2021124
5 202067
6 202055
7 202250
8 201448
9 202047
10 202237
11 201337
12 201336
13 201933
14 201733
15 201926
16 202121
17 202019
18 202319
19 202018
20 201916

About Hefeng Wu

Hefeng Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computational Mechanics, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (27 papers), Advanced Image and Video Retrieval Techniques (18 papers), Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (7 papers), Advanced Neural Network Applications (7 papers), Anomaly Detection Techniques and Applications (7 papers), Human Pose and Action Recognition (7 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Transportation (178 citations), Artificial Intelligence (693 citations), Safety, Risk, Reliability and Quality (130 citations) and Building and Construction (153 citations). Hefeng Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liang Lin, Tianshui Chen, Guanbin Li, Lingbo Liu, Xiaonan Luo, Ning Liu, Changqing Zou, Qun Niu, Li Pan and Jiaqi Chen. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, Neurocomputing, Journal of Computational and Applied Mathematics and The Visual Computer.

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