Min Dong

575 total citations
28 papers, 388 citations indexed

About

Min Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Min Dong has authored 28 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Media Technology. Recurrent topics in Min Dong's work include AI in cancer detection (8 papers), Advanced Image Fusion Techniques (7 papers) and Image Retrieval and Classification Techniques (4 papers). Min Dong is often cited by papers focused on AI in cancer detection (8 papers), Advanced Image Fusion Techniques (7 papers) and Image Retrieval and Classification Techniques (4 papers). Min Dong collaborates with scholars based in China, France and United States. Min Dong's co-authors include Xiaomin Mu, Shuyi Li, Yide Ma, Yanan Guo, Xiangyu Lǚ, Yurun Ma, Zhen Yang, Xiaoli Gao, Kaixuan Liu and Yan Hong and has published in prestigious journals such as IEEE Access, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Min Dong

23 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Dong China 7 222 160 139 60 44 28 388
E-Liang Chen Taiwan 6 179 0.8× 96 0.6× 282 2.0× 48 0.8× 33 0.8× 10 426
Subrajeet Mohapatra India 12 344 1.5× 141 0.9× 533 3.8× 32 0.5× 87 2.0× 37 673
Juan Domingo Spain 12 80 0.4× 73 0.5× 255 1.8× 9 0.1× 39 0.9× 45 428
Ertunç Erdil Türkiye 9 195 0.9× 104 0.7× 225 1.6× 39 0.7× 32 0.7× 23 396
Ruihan Zhao China 5 130 0.6× 131 0.8× 217 1.6× 57 0.9× 22 0.5× 21 353
Dinh Viet Sang Vietnam 10 120 0.5× 93 0.6× 226 1.6× 11 0.2× 57 1.3× 46 394
Sibei Yang China 15 354 1.6× 91 0.6× 511 3.7× 28 0.5× 22 0.5× 26 714
T. Shanthi India 7 108 0.5× 202 1.3× 142 1.0× 27 0.5× 27 0.6× 10 425
Shoaib Azmat Pakistan 9 135 0.6× 107 0.7× 173 1.2× 28 0.5× 46 1.0× 23 390
Asim Munir Pakistan 10 186 0.8× 134 0.8× 245 1.8× 167 2.8× 43 1.0× 21 486

Countries citing papers authored by Min Dong

Since Specialization
Citations

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

Fields of papers citing papers by Min Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Min Dong. A scholar is included among the top collaborators of Min Dong 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 Min Dong. Min Dong 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
1.
Dong, Min, et al.. (2025). Deep Learning Applications in Clinical Cancer Detection: A Review of Implementation Challenges and Solutions. PubMed. 3(3). 100253–100253. 4 indexed citations
2.
Dong, Min, et al.. (2024). Uncertainty-aware consistency learning for semi-supervised medical image segmentation. Knowledge-Based Systems. 309. 112890–112890. 4 indexed citations
3.
Dong, Min, et al.. (2024). High Accuracy Microcalcifications Detection of Breast Cancer Using Wiener LTI Tophat Model. IEEE Access. 12. 153316–153329.
4.
5.
Dong, Min, et al.. (2023). TSDNet: A New Multiscale Texture Surface Defect Detection Model. Applied Sciences. 13(5). 3289–3289. 4 indexed citations
6.
7.
Dong, Min, et al.. (2020). Hybrid fruit fly optimisation algorithm for field service scheduling problem. International Journal of Automation and Control. 14(5/6). 554–554. 1 indexed citations
8.
Hong, Yan, Pascal Bruniaux, Junjie Zhang, et al.. (2018). Application of 3D-TO-2D garment design for atypical morphology:a design case for physically disabled people with scoliosis. Industria Textila. 69(1). 59–64. 17 indexed citations
9.
Hong, Yan, Pascal Bruniaux, Xianyi Zeng, et al.. (2017). Virtual reality-based collaborative design method for designing customized garment for disabled people with scoliosis. International Journal of Clothing Science and Technology. 29(2). 226–237. 38 indexed citations
10.
Guo, Yanan, Min Dong, Zhen Yang, et al.. (2016). A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNN. Computer Methods and Programs in Biomedicine. 130. 31–45. 43 indexed citations
11.
Dong, Min, et al.. (2015). An Efficient Approach for Automated Mass Segmentation and Classification in Mammograms. Journal of Digital Imaging. 28(5). 613–625. 77 indexed citations
12.
Wang, Dan, Min Dong, & Wenbing Zhao. (2013). An Input Data Related Behavior Extracting and Measuring Model. Applied Mathematics & Information Sciences. 7(2). 683–689. 1 indexed citations
13.
Dong, Min. (2012). New method of text extraction from image based on nonsubsampled contourlet transform. Journal of Computer Applications.
14.
15.
Zhang, Wen, et al.. (2012). A Complex Contourlet Transform and its HMT model for denoising and texture retrieval. Lanzhou University Institutional Repository. 833–837. 3 indexed citations
16.
Dong, Min. (2011). Extended Phase Correlation Method Based on Multi-peak Fitting. Jisuanji gongcheng.
17.
Dong, Min, et al.. (2010). Fabric Defects Image Filtering Method Based on Rough Set and PC Neural Networks. Advanced materials research. 121-122. 1012–1017. 1 indexed citations
18.
Dong, Min, et al.. (2009). Discussion of Cross Docking Design in Modern Logistics Systems. 149–151. 3 indexed citations
19.
Dong, Min, et al.. (2008). Application of BP Nerual Network into Prediction of Nitrobenzene Compound in Toxicity. 31. 170–173. 1 indexed citations
20.
Dong, Min, et al.. (2008). A Thresholding Algorithm Based on Probabilistic Rough Set for Image Segmentation. 26. 13–16. 1 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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