Bin Deng

877 citations
58 papers · 652 · h-index 13

Impact in

Papers in

Bin Deng

48 papers receiving 638 citations

Peers

Bin Deng
Comparison fields: 5 of 85
  • Media Technology 288
  • Computer Vision and Pattern Recognition 213
  • Atmospheric Science 169
  • Artificial Intelligence 179
  • Aerospace Engineering 127
Replace Xiaonan Lü with:
Xiaonan Lü United States
Bai Xue China
Haojie Hu China
Chunlei Huo China
Umamahesh Srinivas United States
Pedro Garcı́a-Sevilla Spain
Zaiping Lin China
Yann Gousseau France
Huaitie Xiao China
George A. Lampropoulos Canada
Bin Deng relative to Xiaonan Lü United States Xiaonan Lü's profile →
Citations per field
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Xiaonan Lü · 1×
Citations per year

Countries citing papers authored by Bin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019111
2 201773
3 202071
4 201952
5 202048
6 202040
7 201739
8 202217
9 201017
10 201715
11 201814
12 201714
13 200913
14 201810
15 201810
16 20199
17 20208
18 20167
19 20226
20 20186

About Bin Deng

Bin Deng is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Media Technology and Artificial Intelligence, having authored 58 papers that have together received 652 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (18 papers), Remote-Sensing Image Classification (10 papers), Terahertz technology and applications (9 papers), Microwave Imaging and Scattering Analysis (9 papers), Remote Sensing and Land Use (8 papers), Radar Systems and Signal Processing (6 papers), Advanced Image Fusion Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Media Technology (288 citations), Computer Vision and Pattern Recognition (213 citations), Atmospheric Science (169 citations), Artificial Intelligence (179 citations) and Aerospace Engineering (127 citations). Bin Deng has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Sen Jia, Daming Shi, Jiasong Zhu, Qingquan Li, Yabin Zhang, Hongqiang Wang, Kui Jia, Lei Zhang, Xiuping Jia and Qi Yang. Their work appears in journals such as Sensors, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Microwave and Optical Technology Letters and Multimedia Systems.

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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