Ye Duan

111 papers receiving 7.0k citations

Ye Duan's Hit Papers

A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations 2023 · 163 citations
1630+2+5Years since publication10002.0k3.0k4.0k

Peers

Ye Duan
Comparison fields: 5 of 212
  • Health Informatics 133
  • Computer Vision and Pattern Recognition 1.6k
  • Geology 359
  • Artificial Intelligence 1.7k
  • Radiology, Nuclear Medicine and Imaging 1.1k
Replace Mads Nielsen with:
Mads Nielsen Denmark
Hanzi Mao United States
Dmitry B. Goldgof United States
Ping Li China
Tsung-Yi Lin United States
Sherjil Ozair United States
Emanuele Trucco United Kingdom
Connor Shorten United States
Huimin Lu China
Jean Pouget-Abadie United States
Ye Duan relative to Mads Nielsen Denmark Mads Nielsen's profile →
Citations per field
00.5×1.5×2.2×
Mads Nielsen · 1×
Citations per year

Countries citing papers authored by Ye Duan

Since Specialization
Citations

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

Fields of papers citing papers by Ye Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Hit paper breakdown →
20214449
2
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Hit paper breakdown →
2023420
3
PointGrid: A Deep Network for 3D Shape Understanding
Hit paper breakdown →
2018287
4
Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data
Hit paper breakdown →
2021189
5
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Hit paper breakdown →
2023163
6 2020157
7 2020123
8 2020104
9 201175
10 201767
11 201266
12 202159
13 200654
14 202248
15 202044
16 202140
17 202138
18 201435
19 201634
20 201833

About Ye Duan

Ye Duan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Geology, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 120 papers that have together received 7.2k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (20 papers), 3D Surveying and Cultural Heritage (19 papers), 3D Shape Modeling and Analysis (17 papers), Advanced Vision and Imaging (17 papers), Medical Image Segmentation Techniques (16 papers), Robotics and Sensor-Based Localization (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Remote Sensing and LiDAR Applications (10 papers). The work is most often cited by research in Health Informatics (133 citations), Computer Vision and Pattern Recognition (1.6k citations), Geology (359 citations), Artificial Intelligence (1.7k citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Ye Duan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Laith Alzubaidi, Jinglan Zhang, Mohammed A. Fadhel, Omran Al-Shamma, José Santamaría, Laith Farhan, Amjad J. Humaidi, Muthana Al‐Amidie, Ayad Q. Al-Dujaili and Truc Le. Their work appears in journals such as Medical Physics, The Visual Computer, Electronics, IEEE Transactions on Image Processing and Marine and Petroleum Geology.

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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