Hao Dong

42 papers receiving 2.4k citations

Hao Dong's Hit Papers

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction 2017 · 688 citations
6880+3+6Years since publication250500750

Peers

Hao Dong
Comparison fields: 5 of 127
  • Cognitive Neuroscience 931
  • Experimental and Cognitive Psychology 324
  • Computer Vision and Pattern Recognition 527
  • Human-Computer Interaction 140
  • Radiology, Nuclear Medicine and Imaging 468
Replace Mustafa E. Kamaşak with:
Mustafa E. Kamaşak Türkiye
Domènec Puig Spain
Carlos D. Castillo United States
Ayan Seal India
Agostinho Rosa Portugal
Gyanendra K. Verma India
Heiko Neumann Germany
Bin Yan China
Zhongmin Wang China
Goutam Saha India
Hao Dong relative to Mustafa E. Kamaşak Türkiye Mustafa E. Kamaşak's profile →
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Mustafa E. Kamaşak · 1×
Citations per year

Countries citing papers authored by Hao Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hao Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG
Hit paper breakdown →
2017882
2
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
Hit paper breakdown →
2017688
3 2017225
4 2017158
5 2019109
6 202246
7 201736
8 202330
9 202320
10 201720
11 202419
12 201616
13 202214
14 202313
15 202412
16 202012
17 202311
18 202310
19 20229
20 20248

About Hao Dong

Hao Dong is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Media Technology and Cognitive Neuroscience, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Advanced Vision and Imaging (6 papers), Image Processing Techniques and Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (4 papers), EEG and Brain-Computer Interfaces (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Cognitive Neuroscience (931 citations), Experimental and Cognitive Psychology (324 citations), Computer Vision and Pattern Recognition (527 citations), Human-Computer Interaction (140 citations) and Radiology, Nuclear Medicine and Imaging (468 citations). Hao Dong has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yike Guo, Chao Wu, Akara Supratak, Simiao Yu, Guang Yang, Simon Arridge, Jennifer Keegan, David Firmin, Greg Slabaugh and Pier Luigi Dragotti. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Transactions on Information Forensics and Security.

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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