Ye Duan

13.0k total citations · 5 hit papers
120 papers, 7.2k citations indexed

About

Ye Duan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Geology. According to data from OpenAlex, Ye Duan has authored 120 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 22 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Geology. Recurrent topics in Ye Duan's work include Computer Graphics and Visualization Techniques (20 papers), 3D Surveying and Cultural Heritage (19 papers) and Advanced Vision and Imaging (17 papers). Ye Duan is often cited by papers focused on Computer Graphics and Visualization Techniques (20 papers), 3D Surveying and Cultural Heritage (19 papers) and Advanced Vision and Imaging (17 papers). Ye Duan collaborates with scholars based in United States, China and Australia. Ye Duan's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Ye Duan

111 papers receiving 7.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

2021 4.4k citations Laith Alzubaidi, Jinglan Zhang et al. Journal Of Big Data profile →
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

2023 420 citations Laith Alzubaidi, Jinshuai Bai et al. Journal Of Big Data profile →
PointGrid: A Deep Network for 3D Shape Understanding

2018 287 citations Truc Le, Ye Duan profile →
Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data

2021 189 citations Laith Alzubaidi, Muthana Al‐Amidie et al. Cancers profile →
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations

2023 163 citations Laith Alzubaidi, Jinglan Zhang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ye Duan United States	24	1.7k	1.6k	1.1k	591	499	120	7.2k
Hanzi Mao United States	5	1.9k 1.1×	3.8k 2.3×	866 0.8×	496 0.8×	305 0.6×	8	7.8k
Tsung-Yi Lin United States	22	3.0k 1.7×	5.1k 3.1×	903 0.8×	469 0.8×	539 1.1×	40	10.1k
Paul Fieguth Canada	33	1.6k 0.9×	4.0k 2.5×	576 0.5×	500 0.8×	319 0.6×	225	8.7k
Xiaoyi Jiang Germany	39	1.2k 0.7×	3.7k 2.3×	1.5k 1.3×	602 1.0×	315 0.6×	335	7.8k
José Santamaría Spain	24	1.9k 1.1×	1.6k 1.0×	970 0.9×	639 1.1×	488 1.0×	61	6.7k
Linda G. Shapiro United States	38	2.0k 1.2×	6.7k 4.1×	931 0.9×	544 0.9×	355 0.7×	272	11.1k
Connor Shorten United States	4	2.9k 1.7×	2.5k 1.5×	1.7k 1.5×	761 1.3×	418 0.8×	10	9.0k
Huimin Lu China	49	2.0k 1.2×	4.4k 2.7×	502 0.5×	630 1.1×	626 1.3×	372	8.8k
Nikolaos Doulamis Greece	39	1.4k 0.8×	2.8k 1.7×	385 0.4×	406 0.7×	931 1.9×	311	7.9k
Enhua Wu China	21	2.1k 1.2×	5.8k 3.6×	1.0k 0.9×	691 1.2×	429 0.9×	198	10.1k

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-authorship network of co-authors of Ye Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Duan. A scholar is included among the top collaborators of Ye Duan 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 Ye Duan. Ye Duan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Qiu, Bingwen, Zhengrong Li, Peng Yang, et al.. (2025). Towards automation of national scale cropping pattern mapping by coupling Sentinel-1/2 data: A 10-m map of crop rotation systems for wheat in China. Agricultural Systems. 227. 104338–104338. 1 indexed citations

Duan, Ye, et al.. (2025). A Deep Learning Framework for Long-Term Soil Moisture-Based Drought Assessment Across the Major Basins in China. Remote Sensing. 17(6). 1000–1000. 1 indexed citations

Cheng, Fei-Fei, Bingwen Qiu, Peng Yang, et al.. (2025). Crop sample prediction and early mapping based on historical data: Exploration of an explainable FKAN framework. Computers and Electronics in Agriculture. 237. 110689–110689.

Wang, Xu, Yao Hao, Ye Duan, & Deshan Yang. (2024). A deep learning approach to remove contrast from contrast‐enhanced CT for proton dose calculation. Journal of Applied Clinical Medical Physics. 25(2). e14266–e14266. 1 indexed citations

Alzubaidi, Laith, Mohammed A. Fadhel, Asma Salhi, et al.. (2024). SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study. Artificial Intelligence Review. 57(10). 10 indexed citations

Alzubaidi, Laith, Jinshuai Bai, Aiman Al-Sabaawi, et al.. (2023). A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. Journal Of Big Data. 10(1). 420 indexed citations breakdown →

Nasser, Ahmed R., Ahmed Mudheher Hasan, Amjad J. Humaidi, et al.. (2021). IoT and Cloud Computing in Health-Care: A New Wearable Device and Cloud-Based Deep Learning Algorithm for Monitoring of Diabetes. Electronics. 10(21). 2719–2719. 59 indexed citations

Alzubaidi, Laith, Muthana Al‐Amidie, Amjad J. Humaidi, et al.. (2021). Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data. Cancers. 13(7). 1590–1590. 189 indexed citations breakdown →

Alzubaidi, Laith, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang, & Ye Duan. (2020). Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis. Electronics. 9(3). 427–427. 123 indexed citations

10.

Alzubaidi, Laith, Omran Al-Shamma, Mohammed A. Fadhel, et al.. (2020). Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model. Electronics. 9(3). 445–445. 104 indexed citations

11.

Alzubaidi, Laith, Mohammed A. Fadhel, Omran Al-Shamma, et al.. (2020). Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study. Applied Sciences. 10(13). 4523–4523. 157 indexed citations

12.

Le, Truc & Ye Duan. (2020). REDN: A Recursive Encoder-Decoder Network for Edge Detection. IEEE Access. 8. 90153–90164. 19 indexed citations

13.

Obafemi-Ajayi, Tayo, et al.. (2017). Tongue Image Analysis and Its Mobile App Development for Health Diagnosis. Advances in experimental medicine and biology. 1005. 99–121. 19 indexed citations

14.

Peng, Hao, Xu Wang, Ye Duan, Scott H. Frey, & Xianfeng Gu. (2014). Brain morphometry on congenital hand deformities based on Teichmüller space theory. Computer-Aided Design. 58. 84–91. 2 indexed citations

15.

Obafemi-Ajayi, Tayo, Judith H. Miles, Tomoo Takahashi, et al.. (2014). Facial Structure Analysis Separates Autism Spectrum Disorders into Meaningful Clinical Subgroups. Journal of Autism and Developmental Disorders. 45(5). 1302–1317. 35 indexed citations

16.

He, Qing, Kevin Karsch, & Ye Duan. (2011). Semi-automatic 3D segmentation of brain structures from MRI. International Journal of Data Mining and Bioinformatics. 5(2). 158–158. 5 indexed citations

17.

He, Qing, Shawn E. Christ, Kevin Karsch, et al.. (2009). Detecting 3D Corpus Callosum abnormalities in phenylketonuria. International Journal of Computational Biology and Drug Design. 2(4). 289–289. 8 indexed citations

18.

Duan, Ye, et al.. (2007). Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging. International Journal of Biomedical Imaging. 2007(1). 90216–90216. 30 indexed citations

19.

Li, Wang, et al.. (2006). A new iodactylid pterosaur from western Liaoning, China. Dizhi tongbao. 25(6). 737–740. 9 indexed citations

20.

Duan, Ye, et al.. (2006). Division and correlation of unique fossil-bearing beds of Jiufotang Formation in Dapingfang-Meileyingzi Basin of western Liaoning. Global geology. 4 indexed citations

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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