Wei Zhong

1.9k citations
51 papers · 1.3k · 1 hit paper · h-index 11

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Image Enhancement Techniques
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models

Papers in

Wei Zhong

47 papers receiving 1.3k citations

Wei Zhong's Hit Papers

Robust object tracking via sparsity-based collaborative model 2012 · 741 citations
7410+4+9Years since publication200400600

Peers

Wei Zhong
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 849
  • Statistics and Probability 324
  • Safety, Risk, Reliability and Quality 74
  • Artificial Intelligence 240
  • Aerospace Engineering 149
Replace Changyou Chen with:
Changyou Chen United States
Di‐Rong Chen China
Yi-Ren Yeh Taiwan
Baback Moghaddam United States
Kumar S. Ray India
Carlos López-Molina Spain
Hossein Tahani United States
Richard Yi Da Xu Australia
Susanta Mukhopadhyay India
Wei Zhong relative to Changyou Chen United States Changyou Chen's profile →
Citations per field
00.5×
Changyou Chen · 1×
Citations per year

Countries citing papers authored by Wei Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Wei Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust object tracking via sparsity-based collaborative model
Hit paper breakdown →
2012741
2 2014162
3 201764
4 201562
5 201437
6 201932
7 202132
8 201531
9 201825
10 200914
11 201812
12 20238
13 20237
14 20226
15 20156
16 20086
17 20215
18 20225
19 20225
20 20234

About Wei Zhong

Wei Zhong is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability, Artificial Intelligence, Cognitive Neuroscience and Signal Processing, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Advanced Vision and Imaging (13 papers), Bayesian Methods and Mixture Models (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), EEG and Brain-Computer Interfaces (5 papers), Emotion and Mood Recognition (5 papers), Advanced Statistical Methods and Models (4 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (849 citations), Statistics and Probability (324 citations), Safety, Risk, Reliability and Quality (74 citations), Artificial Intelligence (240 citations) and Aerospace Engineering (149 citations). Wei Zhong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Huchuan Lu, Ming–Hsuan Yang, Runze Li, Hengjian Cui, Jingyuan Liu, Kai Xu, Long Ye, Li Fang, Feiping Nie and Xia Wu. Their work appears in journals such as Journal of the American Statistical Association, Statistica Sinica, Wireless Communications and Mobile Computing, IEEE Access and Electronic Journal of Statistics.

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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