Sen Deng

809 citations
28 papers · 512 · h-index 13

Impact in

Papers in

Sen Deng

27 papers receiving 500 citations

Peers

Sen Deng
Comparison fields: 5 of 83
  • Media Technology 93
  • Computer Vision and Pattern Recognition 207
  • Industrial and Manufacturing Engineering 64
  • Safety, Risk, Reliability and Quality 36
  • Mechanical Engineering 90
Replace Jinfei Shi with:
Jinfei Shi China
Tianhua Xu China
Volodymyr Kochan Ukraine
Bo Jin China
Yinhui Ao China
Gang Niu China
Shifeng Huang China
Wei Long China
Hao Hu China
Yuqi Fan China
Sen Deng relative to Jinfei Shi China Jinfei Shi's profile →
Citations per field
00.5×1.5×2.4×
Jinfei Shi · 1×
Citations per year

Countries citing papers authored by Sen Deng

Since Specialization
Citations

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

Fields of papers citing papers by Sen Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020153
2 201159
3 201039
4 200735
5 201232
6 202130
7 202224
8 201720
9 202119
10 201415
11 201514
12 200712
13 202212
14 20218
15 20247
16 20065
17 20244
18 20094
19 20243
20 20143

About Sen Deng

Sen Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering, Mechanics of Materials and Civil and Structural Engineering, having authored 28 papers that have together received 512 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Advanced Image Processing Techniques (5 papers), Image Enhancement Techniques (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Image and Signal Denoising Methods (4 papers), Structural Health Monitoring Techniques (4 papers), Advanced Vision and Imaging (3 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Media Technology (93 citations), Computer Vision and Pattern Recognition (207 citations), Industrial and Manufacturing Engineering (64 citations), Safety, Risk, Reliability and Quality (36 citations) and Mechanical Engineering (90 citations). Sen Deng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tsung‐Han Yeh, Mingqiang Wei, Yoo Na Hwang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang, Meng Wang, Jun Wang and Bo Jing. Their work appears in journals such as Numerical Heat Transfer Part B Fundamentals, Japanese Journal of Applied Physics, Neurocomputing, International Journal of Heat and Mass Transfer and International Journal of Engineering Science.

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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