Dengxin Dai

11.6k total citations · 7 hit papers
91 papers, 4.8k citations indexed

About

Dengxin Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Dengxin Dai has authored 91 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in Dengxin Dai's work include Domain Adaptation and Few-Shot Learning (25 papers), Advanced Neural Network Applications (23 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Dengxin Dai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (25 papers), Advanced Neural Network Applications (23 papers) and Advanced Image and Video Retrieval Techniques (21 papers). Dengxin Dai collaborates with scholars based in Switzerland, Belgium and China. Dengxin Dai's co-authors include Luc Van Gool, Christos Sakaridis, Lukas Hoyer, Wen Yang, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Wouter Van Gansbeke, Olga Fink and Qin Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Dengxin Dai

85 papers receiving 4.7k citations

Hit Papers

Semantic Foggy Scene Understanding with Synthetic Data 2018 2026 2020 2023 2018 2021 2022 2022 2023 250 500 750

Peers

Dengxin Dai
Comparison fields: 5 of 145
  • Computer Vision and Pattern Recognition 3.3k
  • Artificial Intelligence 1.8k
  • Media Technology 822
  • Aerospace Engineering 495
  • Environmental Engineering 316
Chunjing Xu China
Yunhe Wang China
Lingxi Xie China
Baochang Zhang China
Enze Xie China
Tong He China
Yuwen Xiong Canada
Patrick Pérez France
Yadong Mu China
Chunjing Xu China View profile →
Citations per field, relative to Dengxin Dai
Dengxin Dai · 1×
Citations per year, relative to Dengxin Dai
Dengxin Dai · 1×

Countries citing papers authored by Dengxin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dengxin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dengxin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Dengxin Dai. A scholar is included among the top collaborators of Dengxin Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dengxin Dai. Dengxin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 51
5 4
6 2
7 7
8 2
9 0
10 2
11
Deep Gradient Learning for Efficient Camouflaged Object Detection breakdown →
132
12 16
13 8
14 14
15 3
16 83
17 51
18
Semantic Foggy Scene Understanding with Synthetic Data breakdown →
751
19
How Useful Is Image Super-resolution to Other Vision Tasks?
1
20 29

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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