Cuong V. Dinh

4.1k total citations
16 papers, 343 citations indexed

About

Cuong V. Dinh is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cuong V. Dinh has authored 16 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cuong V. Dinh's work include MRI in cancer diagnosis (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Cuong V. Dinh is often cited by papers focused on MRI in cancer diagnosis (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Cuong V. Dinh collaborates with scholars based in Netherlands, Belgium and Austria. Cuong V. Dinh's co-authors include Uulke A. van der Heide, Floris J. Pos, Karin Haustermans, Ghazaleh Ghobadi, Peter J. Steenbergen, Stijn Heijmink, Raymond Oyen, Robert P. W. Duin, Linda G.W. Kerkmeijer and Marco Loog and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Physics in Medicine and Biology.

In The Last Decade

Cuong V. Dinh

14 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuong V. Dinh Netherlands 10 209 195 115 70 50 16 343
Xinran Zhong United States 8 266 1.3× 224 1.1× 52 0.5× 82 1.2× 95 1.9× 24 422
Lennert S. Ploeger Netherlands 12 316 1.5× 169 0.9× 322 2.8× 157 2.2× 60 1.2× 23 487
Nico Lanconelli Italy 12 320 1.5× 213 1.1× 364 3.2× 75 1.1× 53 1.1× 32 551
Jinghao Zhou United States 14 229 1.1× 128 0.7× 130 1.1× 105 1.5× 186 3.7× 33 456
Xinzhi Teng Hong Kong 12 281 1.3× 98 0.5× 78 0.7× 76 1.1× 39 0.8× 41 356
Rita Simões Netherlands 10 223 1.1× 87 0.4× 52 0.5× 60 0.9× 32 0.6× 30 309
Filipa Guerreiro Netherlands 9 219 1.0× 125 0.6× 217 1.9× 70 1.0× 36 0.7× 13 313
James A. Tanyi United States 13 202 1.0× 249 1.3× 333 2.9× 56 0.8× 24 0.5× 34 449
Brent van der Heyden Netherlands 12 407 1.9× 219 1.1× 306 2.7× 211 3.0× 52 1.0× 33 591
Bin Liang China 10 312 1.5× 155 0.8× 231 2.0× 103 1.5× 27 0.5× 31 427

Countries citing papers authored by Cuong V. Dinh

Since Specialization
Citations

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

Fields of papers citing papers by Cuong V. Dinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cuong V. Dinh. 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 Cuong V. Dinh. The network helps show where Cuong V. Dinh may publish in the future.

Co-authorship network of co-authors of Cuong V. Dinh

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

All Works

16 of 16 papers shown
1.
Le, Anh Vu, Cuong V. Dinh, Vinu Sivanantham, et al.. (2025). Inter-reconfigurable robot by modified informed sampling-based shortest path planning in cleaning and maintenance. Robotica. 43(6). 2121–2142.
2.
Dinh, Cuong V., et al.. (2022). PSRMTE: Paper submission recommendation using mixtures of transformer. Expert Systems with Applications. 202. 117096–117096. 4 indexed citations
3.
Dinh, Cuong V., Iris Walraven, Stijn Heijmink, et al.. (2018). Biochemical recurrence prediction after radiotherapy for prostate cancer with T2w magnetic resonance imaging radiomic features. Physics and Imaging in Radiation Oncology. 7. 9–15. 32 indexed citations
4.
Dinh, Cuong V., Petra J. van Houdt, Floris J. Pos, et al.. (2018). Contouring of prostate tumors on multiparametric MRI: Evaluation of clinical delineations in a multicenter radiotherapy trial. Radiotherapy and Oncology. 128(2). 321–326. 41 indexed citations
5.
Steenbergen, Peter J., Cuong V. Dinh, Ghazaleh Ghobadi, et al.. (2017). Repeatability of dose painting by numbers treatment planning in prostate cancer radiotherapy based on multiparametric magnetic resonance imaging. Physics in Medicine and Biology. 62(14). 5575–5588. 17 indexed citations
6.
Dinh, Cuong V., et al.. (2017). Prostate fiducial marker detection with the use of multi-parametric magnetic resonance imaging. Physics and Imaging in Radiation Oncology. 1. 14–20. 22 indexed citations
7.
Dinh, Cuong V., Peter J. Steenbergen, Ghazaleh Ghobadi, et al.. (2016). Magnetic resonance imaging for prostate cancer radiotherapy. Physica Medica. 32(3). 446–451. 42 indexed citations
8.
Dinh, Cuong V., et al.. (2016). Training Data Selection for Cancer Detection in Multispectral Endoscopy Images. 1 indexed citations
9.
Dinh, Cuong V., et al.. (2016). OC-0157: Prostate fiducial markers detection with the use of multiparametric-MRI. Radiotherapy and Oncology. 119. S72–S73. 1 indexed citations
10.
Dinh, Cuong V., Peter J. Steenbergen, Ghazaleh Ghobadi, et al.. (2016). Multicenter validation of prostate tumor localization using multiparametric MRI and prior knowledge. Medical Physics. 44(3). 949–961. 22 indexed citations
11.
Dinh, Cuong V., Robert P. W. Duin, & Marco Loog. (2016). A study on semi-supervised dissimilarity representation.
12.
Steenbergen, Peter J., Karin Haustermans, Evelyne Lerut, et al.. (2015). Prostate tumor delineation using multiparametric magnetic resonance imaging: Inter-observer variability and pathology validation. Radiotherapy and Oncology. 115(2). 186–190. 92 indexed citations
13.
Heide, Uulke A. van der, Cuong V. Dinh, Ghazaleh Ghobadi, et al.. (2015). Visual Analytics for the Exploration of Tumor Tissue Characterization. Computer Graphics Forum. 34(3). 11–20. 18 indexed citations
14.
Dinh, Cuong V., et al.. (2013). FIDOS: A generalized Fisher based feature extraction method for domain shift. Pattern Recognition. 46(9). 2510–2518. 12 indexed citations
15.
Leitner, Raimund, et al.. (2012). Multi-spectral video endoscopy system for the detection of cancerous tissue. Pattern Recognition Letters. 34(1). 85–93. 34 indexed citations
16.
Dinh, Cuong V., Raimund Leitner, Pavel Paclı́k, Marco Loog, & Robert P. W. Duin. (2011). SEDMI: Saliency based edge detection in multispectral images. Image and Vision Computing. 29(8). 546–556. 5 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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