Thanh-Tung Nguyen

634 total citations
19 papers, 321 citations indexed

About

Thanh-Tung Nguyen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thanh-Tung Nguyen has authored 19 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thanh-Tung Nguyen's work include Modular Robots and Swarm Intelligence (3 papers), Hydrological Forecasting Using AI (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Thanh-Tung Nguyen is often cited by papers focused on Modular Robots and Swarm Intelligence (3 papers), Hydrological Forecasting Using AI (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Thanh-Tung Nguyen collaborates with scholars based in South Korea, Vietnam and China. Thanh-Tung Nguyen's co-authors include Nguyễn Thị Thanh Thủy, Joshua Zhexue Huang, Taehong Kim, Se-Han Kim, Dae‐Heon Park, Qiang Wang, Insoo Koo, Mark Junjie Li, Taejoon Kim and Stefan Winkler and has published in prestigious journals such as IEEE Access, Sensors and Machine Learning.

In The Last Decade

Thanh-Tung Nguyen

17 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thanh-Tung Nguyen South Korea 8 111 81 61 57 54 19 321
Chris Roadknight United Kingdom 12 168 1.5× 55 0.7× 40 0.7× 111 1.9× 58 1.1× 38 526
J. Rene Beulah India 7 87 0.8× 58 0.7× 49 0.8× 106 1.9× 66 1.2× 13 356
Rajendra Prasath India 12 69 0.6× 55 0.7× 36 0.6× 126 2.2× 35 0.6× 50 364
Ousmane Thiaré Senegal 10 177 1.6× 49 0.6× 143 2.3× 41 0.7× 62 1.1× 39 395
Rajeev Ranjan India 7 76 0.7× 39 0.5× 110 1.8× 71 1.2× 113 2.1× 42 309
Adel Rajab Saudi Arabia 11 77 0.7× 40 0.5× 47 0.8× 74 1.3× 19 0.4× 34 265
Amin Anjomshoaa Austria 10 70 0.6× 80 1.0× 40 0.7× 74 1.3× 141 2.6× 35 405
Awny Sayed Egypt 8 35 0.3× 65 0.8× 34 0.6× 229 4.0× 38 0.7× 21 443
Ruichun Tang China 9 57 0.5× 37 0.5× 51 0.8× 72 1.3× 46 0.9× 48 354

Countries citing papers authored by Thanh-Tung Nguyen

Since Specialization
Citations

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

Fields of papers citing papers by Thanh-Tung Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thanh-Tung Nguyen. 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 Thanh-Tung Nguyen. The network helps show where Thanh-Tung Nguyen may publish in the future.

Co-authorship network of co-authors of Thanh-Tung Nguyen

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

All Works

19 of 19 papers shown
1.
Nguyen, Thanh-Tung, et al.. (2025). LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction. Research Explorer (The University of Manchester). 106–120. 3 indexed citations
2.
Liu, Andy T., Vijay Prakash Dwivedi, Thanh-Tung Nguyen, et al.. (2025). MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. Proceedings of the AAAI Conference on Artificial Intelligence. 39(22). 23496–23504.
3.
Nguyen, Thanh-Tung, et al.. (2025). OctopInf: Workload-Aware Inference Serving for Edge Video Analytics. 128–137.
4.
Nguyen, Thanh-Tung, et al.. (2024). A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. Research Explorer (The University of Manchester). 1738–1751. 1 indexed citations
5.
Subramanian, Anand, et al.. (2024). M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. Research Explorer (The University of Manchester). 4002–4042. 1 indexed citations
6.
Nguyen, Thanh-Tung, et al.. (2023). A Two-Stage Decoder for Efficient ICD Coding. Research Explorer (The University of Manchester). 4658–4665. 3 indexed citations
7.
Batista-Navarro, Riza, Thanh-Tung Nguyen, Xiao‐Jun Zeng, et al.. (2023). Team:PULSAR at ProbSum 2023:PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients’ Problems and Data Augmentation with Black-box Large Language Models. Research Explorer (The University of Manchester). 503–509. 7 indexed citations
8.
Nguyen, Thanh-Tung, et al.. (2023). PreActo: Efficient Cross-Camera Object Tracking System in Video Analytics Edge Computing. 101–110. 2 indexed citations
9.
Nguyen, Thanh-Tung, Taejoon Kim, & Taehong Kim. (2020). A Distributed TDMA Scheduling Algorithm Using Topological Ordering for Wireless Sensor Networks. IEEE Access. 8. 145316–145331. 10 indexed citations
10.
Nguyen, Thanh-Tung, et al.. (2020). Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration. Sensors. 20(16). 4621–4621. 102 indexed citations
11.
Nguyen, Thanh-Tung, et al.. (2019). Water Level Prediction at TICH-BUI river in Vietnam Using Support Vector Regression. 1–6. 7 indexed citations
12.
Nguyen, Thanh-Tung, et al.. (2019). Distributed TDMA Scheduling Using Topological Ordering in Wireless Sensor Networks. 1–2. 3 indexed citations
13.
Wang, Qiang, Thanh-Tung Nguyen, Joshua Zhexue Huang, & Nguyễn Thị Thanh Thủy. (2018). An efficient random forests algorithm for high dimensional data classification. Advances in Data Analysis and Classification. 12(4). 953–972. 40 indexed citations
14.
Nguyen, Thanh-Tung, et al.. (2016). Data Capture of Cognitive Radio-Based Red Network by a Blue Network in Tactical Wireless Networks. IEEE Sensors Journal. 17(1). 205–214. 2 indexed citations
15.
Nguyen, Thanh-Tung. (2015). An L1-Regression Random Forests Method for Forecasting of Hoa Binh Reservoir's Incoming Flow. 2. 360–364. 7 indexed citations
16.
Nguyen, Thanh-Tung, Thanh-Tung Nguyen, Joshua Zhexue Huang, Nguyễn Thị Thanh Thủy, & Nguyễn Thị Thanh Thủy. (2015). Unbiased Feature Selection in Learning Random Forests for High‐Dimensional Data. The Scientific World JOURNAL. 2015(1). 471371–471371. 68 indexed citations
17.
Nguyen, Thanh-Tung & Insoo Koo. (2015). Sensor Clustering and Sensing Technology for Optimal Throughput of Sensor-Aided Cognitive Radio Networks Supporting Multiple Licensed Channels. International Journal of Distributed Sensor Networks. 2015. 1–10. 19 indexed citations
18.
Nguyen, Thanh-Tung, et al.. (2015). Forecasting Time Series Water Levels on Mekong River Using Machine Learning Models. 292–297. 24 indexed citations
19.
Nguyen, Thanh-Tung, Joshua Zhexue Huang, & Nguyễn Thị Thanh Thủy. (2014). Two-level quantile regression forests for bias correction in range prediction. Machine Learning. 101(1-3). 325–343. 22 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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