Bùi Thanh Hùng

652 total citations
41 papers, 195 citations indexed

About

Bùi Thanh Hùng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Bùi Thanh Hùng has authored 41 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Bùi Thanh Hùng's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Bùi Thanh Hùng is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Bùi Thanh Hùng collaborates with scholars based in Vietnam, India and Canada. Bùi Thanh Hùng's co-authors include Prąsun Chakrabarti, Sofiène Tahar, Nikhat Parveen, Tulika Chakrabarti, Akira Shimazu, José Pissolato Filho, Le-Minh Nguyen, Kottilingam Kottursamy, Utku Köse and G S Pradeep Ghantasala and has published in prestigious journals such as Energies, Measurement and Multimedia Tools and Applications.

In The Last Decade

Bùi Thanh Hùng

33 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bùi Thanh Hùng Vietnam	8	86	32	28	26	25	41	195
Jiří Dvorský Czechia	8	65 0.8×	20 0.6×	50 1.8×	23 0.9×	35 1.4×	46	188
Michal Krátký Czechia	9	74 0.9×	53 1.7×	48 1.7×	58 2.2×	27 1.1×	36	178
Xingguo Li China	8	82 1.0×	53 1.7×	30 1.1×	34 1.3×	39 1.6×	31	195
Linnan Wang United States	7	104 1.2×	28 0.9×	26 0.9×	13 0.5×	14 0.6×	7	195
Xinyi Xu China	9	72 0.8×	12 0.4×	32 1.1×	10 0.4×	13 0.5×	17	175
Shaaban Sahmoud Türkiye	9	114 1.3×	28 0.9×	20 0.7×	76 2.9×	41 1.6×	21	239
Bogdan Księżopolski Poland	9	64 0.7×	117 3.7×	52 1.9×	32 1.2×	75 3.0×	36	244
Wenlin Wang China	8	79 0.9×	17 0.5×	18 0.6×	9 0.3×	31 1.2×	22	246
Tuyen N. Huynh United States	5	221 2.6×	19 0.6×	9 0.3×	24 0.9×	36 1.4×	7	274

Countries citing papers authored by Bùi Thanh Hùng

Since Specialization

Citations

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

Fields of papers citing papers by Bùi Thanh Hùng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bùi Thanh Hùng. 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 Bùi Thanh Hùng. The network helps show where Bùi Thanh Hùng may publish in the future.

Co-authorship network of co-authors of Bùi Thanh Hùng

This figure shows the co-authorship network connecting the top 25 collaborators of Bùi Thanh Hùng. A scholar is included among the top collaborators of Bùi Thanh Hùng 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 Bùi Thanh Hùng. Bùi Thanh Hùng 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

Hùng, Bùi Thanh, et al.. (2025). DCARES: deep convolutional neural network with neural-based optimization for image-based product recommender system. Multimedia Tools and Applications. 84(30). 36693–36723. 1 indexed citations

Hùng, Bùi Thanh, et al.. (2025). ExVQA: a novel stacked attention networks with extended long short-term memory model for visual question answering. Computers & Electrical Engineering. 126. 110439–110439.

Hùng, Bùi Thanh, et al.. (2025). MTFIC: enhanced fashion image captioning via multi-transformer architecture with contrastive and bidirectional encodings. The Visual Computer. 41(13). 10841–10855.

Hùng, Bùi Thanh, et al.. (2024). Design optimization-based software-defined networking scheme for detecting and preventing attacks. Multimedia Tools and Applications. 83(28). 71151–71169. 5 indexed citations

Le, Long Tan, et al.. (2024). Distributionally Robust Federated Learning for Mobile Edge Networks. Mobile Networks and Applications. 29(1). 262–272. 1 indexed citations

Ghantasala, G S Pradeep, et al.. (2024). Artificial intelligence based machine learning algorithm for prediction of cancer in female anatomy. Multimedia Tools and Applications. 84(16). 15735–15761. 6 indexed citations

Hoang, Doan B., Quoc Huy, & Bùi Thanh Hùng. (2024). ConBGAT: a novel model combining convolutional neural networks, transformer and graph attention network for information extraction from scanned image. PeerJ Computer Science. 10. e2536–e2536. 1 indexed citations

Hati, Ananda Shankar, et al.. (2023). DSVM-Based Model-Free Predictive Current Control of an Induction Motor. Energies. 16(15). 5657–5657. 6 indexed citations

Ghantasala, G S Pradeep, Bùi Thanh Hùng, & Prąsun Chakrabarti. (2023). An Approach For Cervical and Breast Cancer Classification Using Deep Learning: A Comprehensive Survey. 1–6. 5 indexed citations

10.

Kallam, Suresh, et al.. (2023). Remote Health Monitoring IoT Framework using Machine Learning Prediction and Advanced Artificial Intelligence (AI) Model. International Journal on Recent and Innovation Trends in Computing and Communication. 11(5). 42–47. 1 indexed citations

11.

Hùng, Bùi Thanh, et al.. (2023). A Survey of Artificial Intellegence Techniques to Detect Intrusion Attack in Communication Network. 1–10.

12.

Parveen, Nikhat, et al.. (2023). Twitter sentiment analysis using hybrid gated attention recurrent network. Journal Of Big Data. 10(1). 34 indexed citations

13.

Hùng, Bùi Thanh, et al.. (2023). A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system. Education and Information Technologies. 29(4). 3859–3883. 24 indexed citations

14.

Sahoo, Santosh Kumar, Pravin R. Kshirsagar, Saiful Islam, et al.. (2022). Wireless Communication for Robotic Process Automation Using Machine Learning Technique. Wireless Communications and Mobile Computing. 2022(1). 6 indexed citations

15.

Hùng, Bùi Thanh, et al.. (2022). Applications of Artificial Intelligence in Biomedical Image Processing. 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS). 53–57.

16.

Hùng, Bùi Thanh. (2020). Vietnamese Voice Classification based on Deep Learning Approach. 4(4). 171–180.

17.

Hùng, Bùi Thanh. (2020). Assessment of Recruitment Records using Machine Learning. 4(4). 143–151. 1 indexed citations

18.

Hùng, Bùi Thanh, Takayuki Omori, & Atsushi Ohnishi. (2019). Ripple Effect Analysis of Data Flow Requirements. 262–269. 1 indexed citations

19.

Hùng, Bùi Thanh, et al.. (2009). Application of Empirical Mode Decomposition to the Arrival Time Characterization of a Parallel Batch System Using System Logs.. 300–306. 2 indexed citations

20.

Hùng, Bùi Thanh & Sofiène Tahar. (2003). Design and synthesis of an IEEE-754 exponential function. 1. 450–455. 20 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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