Chenwei Deng

4.0k citations
90 papers · 3.2k indexed · 2 hit papers · h-index 22

Chenwei Deng

85 papers receiving 3.1k citations

Hit Papers

Extreme Learning Machine for Multilayer Perceptron1.1k20142026201820222505007501000

Peers

Chenwei Deng
Comparison fields: 5 of 153
  • Media Technology 726
  • Computer Vision and Pattern Recognition 1.5k
  • Artificial Intelligence 1.1k
  • Signal Processing 155
  • Aerospace Engineering 291
Replace Toby P. Breckon with:
Toby P. Breckon United Kingdom
Seiichi Serikawa Japan
Jonathan Masci Switzerland
Song–Hai Zhang China
Ding Liang China
Bin Fang China
Yaowei Wang China
Wankou Yang China
Sangdoo Yun South Korea
Chenwei Deng relative to Toby P. Breckon United Kingdom Toby P. Breckon's profile →
Citations per field
00.5×
Toby P. Breckon · 1×
Citations per year

Countries citing papers authored by Chenwei Deng

Since Specialization
Citations

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

Fields of papers citing papers by Chenwei Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20240
3 20240
4 20242
5 20241
6 202312
7 20239
8 202146
9 20196
10 2019161
11 201828
12 201680
13 20168
14
Visual Signal Quality Assessment: Quality of Experience (QoE)
20145
15 201226
16 201210
17 201114
18 20115
19 201028
20 20092

About Chenwei Deng

Chenwei Deng is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Acoustics and Ultrasonics, Structural Biology and Aerospace Engineering, having authored 90 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (20 papers), Remote-Sensing Image Classification (17 papers), Image and Video Quality Assessment (16 papers), Advanced Image and Video Retrieval Techniques (14 papers), Image and Signal Denoising Methods (12 papers), Video Surveillance and Tracking Methods (11 papers), Image Enhancement Techniques (11 papers) and Machine Learning and ELM (10 papers). The work is most often cited by research in Media Technology (726 citations), Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (1.1k citations), Signal Processing (155 citations) and Aerospace Engineering (291 citations). Chenwei Deng has collaborated with scholars based in China, Singapore and France. Frequent co-authors include Guang-Bin Huang, Jiexiong Tang, Baojun Zhao, Weisi Lin, Yuqi Han, Xun Liu, Shuigen Wang, King Ngi Ngan, Jocelyn Chanussot and Manoranjan Paul. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Cybernetics and Neurocomputing.

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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