Thang Doan

441 total citations
6 papers, 202 citations indexed

About

Thang Doan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Marketing. According to data from OpenAlex, Thang Doan has authored 6 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Marketing. Recurrent topics in Thang Doan's work include Anomaly Detection Techniques and Applications (2 papers), Multimodal Machine Learning Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Thang Doan is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Multimodal Machine Learning Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Thang Doan collaborates with scholars based in Canada, India and Australia. Thang Doan's co-authors include Bogdan Mazoure, Moloud Abdar, Abbas Khosravi, U. Rajendra Acharya, Li Liu, Saeid Nahavandi, Vladimir Makarenkov, Reza Hashemifesharaki, Isabela Albuquerque and Ioannis Mitliagkas and has published in prestigious journals such as Computers in Biology and Medicine, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Thang Doan

6 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thang Doan Canada	5	120	65	45	43	28	6	202
Bogdan Mazoure Canada	4	139 1.2×	87 1.3×	37 0.8×	50 1.2×	38 1.4×	11	235
Andrzej Brodzicki Poland	5	127 1.1×	106 1.6×	42 0.9×	25 0.6×	43 1.5×	5	246
Reinaldo Padilha França Brazil	4	56 0.5×	56 0.9×	24 0.5×	32 0.7×	29 1.0×	8	172
Connah Kendrick United Kingdom	6	115 1.0×	106 1.6×	120 2.7×	24 0.6×	42 1.5×	16	295
Victor Pomponiu Italy	10	139 1.2×	104 1.6×	175 3.9×	40 0.9×	37 1.3×	21	319
Md. Tasnim Jawad Bangladesh	4	136 1.1×	79 1.2×	52 1.2×	38 0.9×	42 1.5×	7	237
Muhammad Junaid Ali Pakistan	11	131 1.1×	60 0.9×	75 1.7×	56 1.3×	21 0.8×	22	275
Abder-Rahman Ali United Kingdom	8	155 1.3×	114 1.8×	51 1.1×	91 2.1×	44 1.6×	12	282
Soumya Surath Panda India	5	105 0.9×	21 0.3×	34 0.8×	102 2.4×	19 0.7×	31	233
Zhineng Chen China	10	135 1.1×	40 0.6×	236 5.2×	142 3.3×	22 0.8×	29	408

Countries citing papers authored by Thang Doan

Since Specialization

Citations

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

Fields of papers citing papers by Thang Doan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thang Doan

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

6 of 6 papers shown

1.

Li, Xin, et al.. (2024). USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. 4187–4196. 4 indexed citations

2.

Doan, Thang, et al.. (2024). Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1555–1563. 4 indexed citations

3.

Abdar, Moloud, Thang Doan, Bogdan Mazoure, et al.. (2021). Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Computers in Biology and Medicine. 135. 104418–104418. 179 indexed citations

4.

Albuquerque, Isabela, et al.. (2019). Multi-objective training of Generative Adversarial Networks with multiple discriminators. arXiv (Cornell University). 202–211. 10 indexed citations

5.

Doan, Thang, et al.. (2018). Generating Realistic Sequences of Customer-Level Transactions for Retail Datasets. 820–827. 4 indexed citations

6.

Mazoure, Bogdan, Thang Doan, & Saibal Ray. (2018). EmojiGAN: learning emojis distributions with a generative model. 273–279. 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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