Quoc Dang Vu

1.7k total citations
11 papers, 249 citations indexed

About

Quoc Dang Vu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Quoc Dang Vu has authored 11 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Quoc Dang Vu's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cell Image Analysis Techniques (4 papers). Quoc Dang Vu is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cell Image Analysis Techniques (4 papers). Quoc Dang Vu collaborates with scholars based in United Kingdom, South Korea and United States. Quoc Dang Vu's co-authors include Nasir Rajpoot, Shan E Ahmed Raza, Jin Tae Kwak, Fayyaz Minhas, Simon Graham, Mostafa Jahanifar, David Snead, Minh Nguyen Nhat To, Barış Türkbey and Peter L. Choyke and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Medical Image Analysis.

In The Last Decade

Quoc Dang Vu

11 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Quoc Dang Vu United Kingdom	7	166	130	99	38	35	11	249
Niccolò Marini Switzerland	9	157 0.9×	102 0.8×	74 0.7×	30 0.8×	27 0.8×	20	213
Julio Silva-Rodríguez Spain	8	171 1.0×	105 0.8×	84 0.8×	28 0.7×	31 0.9×	14	220
Jesper Molin Sweden	8	242 1.5×	123 0.9×	68 0.7×	30 0.8×	27 0.8×	18	318
Ruining Deng United States	10	152 0.9×	98 0.8×	128 1.3×	24 0.6×	39 1.1×	42	302
Pushpak Pati Switzerland	9	166 1.0×	101 0.8×	80 0.8×	31 0.8×	12 0.3×	20	237
Zhaoyang Xu China	6	164 1.0×	133 1.0×	66 0.7×	17 0.4×	15 0.4×	16	221
Nick Weiss Germany	10	176 1.1×	151 1.2×	104 1.1×	18 0.5×	45 1.3×	16	353
Can Koyuncu United States	10	123 0.7×	106 0.8×	69 0.7×	19 0.5×	30 0.9×	21	253
Baochuan Pang China	8	228 1.4×	105 0.8×	130 1.3×	32 0.8×	9 0.3×	31	323

Countries citing papers authored by Quoc Dang Vu

Since Specialization

Citations

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

Fields of papers citing papers by Quoc Dang Vu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quoc Dang Vu. 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 Quoc Dang Vu. The network helps show where Quoc Dang Vu may publish in the future.

Co-authorship network of co-authors of Quoc Dang Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Quoc Dang Vu. A scholar is included among the top collaborators of Quoc Dang Vu 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 Quoc Dang Vu. Quoc Dang Vu 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:

11 of 11 papers shown

Vu, Quoc Dang, Lawrence S. Young, Kim Branson, et al.. (2024). Cancer drug sensitivity prediction from routine histology images. npj Precision Oncology. 8(1). 5–5. 11 indexed citations

Vu, Quoc Dang, Kashif Rajpoot, Shan E Ahmed Raza, & Nasir Rajpoot. (2023). Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images. Medical Image Analysis. 85. 102743–102743. 26 indexed citations

Graham, Simon, Quoc Dang Vu, Mostafa Jahanifar, et al.. (2022). TIAToolbox as an end-to-end library for advanced tissue image analytics. SHILAP Revista de lepidopterología. 2(1). 120–120. 52 indexed citations

Graham, Simon, Quoc Dang Vu, Mostafa Jahanifar, et al.. (2022). One model is all you need: Multi-task learning enables simultaneous histology image segmentation and classification. Medical Image Analysis. 83. 102685–102685. 75 indexed citations

Vu, Quoc Dang, Katharina von Loga, Shan E Ahmed Raza, et al.. (2021). Digital histological markers based on routine H&E slides to predict benefit from maintenance immunotherapy in esophagogastric adenocarcinoma.. Journal of Clinical Oncology. 39(15_suppl). e16074–e16074. 1 indexed citations

Vu, Quoc Dang, et al.. (2020). Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks. IEEE Journal of Biomedical and Health Informatics. 25(2). 348–357. 7 indexed citations

Vu, Quoc Dang, et al.. (2019). Scale embedding shared neural networks for multiscale histological analysis of prostate cancer. 4–4. 4 indexed citations

Vu, Quoc Dang & Jin Tae Kwak. (2019). A dense multi-path decoder for tissue segmentation in histopathology images. Computer Methods and Programs in Biomedicine. 173. 119–129. 13 indexed citations

To, Minh Nguyen Nhat, Quoc Dang Vu, Barış Türkbey, Peter L. Choyke, & Jin Tae Kwak. (2018). Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. 13(11). 1687–1696. 52 indexed citations

10.

Graham, Simon, Quoc Dang Vu, Shan E Ahmed Raza, Jin Tae Kwak, & Nasir Rajpoot. (2018). XY Network for Nuclear Segmentation in Multi-Tissue Histology Images.. 6 indexed citations

11.

Vu, Quoc Dang & Ying Li. (2002). A fast warping algorithm for correcting local distortions in binary images. 1. 209–212. 2 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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