Minh-Tien Nguyen
- Artificial Intelligence top 10%
- Topic Modeling 36
- Natural Language Processing Techniques 29
- Advanced Text Analysis Techniques 23
- Text and Document Classification Technologies 5
- Sentiment Analysis and Opinion Mining 3
- Speech Recognition and Synthesis 3
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- Handwritten Text Recognition Techniques 3
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- Biomedical Text Mining and Ontologies 3
Minh-Tien Nguyen
43 papers receiving 207 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 175
- Health Informatics 2
- Information Systems 31
- Computer Science Applications 6
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Minh-Tien Nguyen
This map shows the geographic impact of Minh-Tien 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 Minh-Tien Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minh-Tien Nguyen more than expected).
Fields of papers citing papers by Minh-Tien Nguyen
This network shows the impact of papers produced by Minh-Tien 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 Minh-Tien Nguyen. The network helps show where Minh-Tien Nguyen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minh-Tien Nguyen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 1 | |
| 13 | Understanding Transformers for Information Extraction with Limited Data. | 2020 | 1 |
| 14 | 2019 | 16 | |
| 15 | TSix: A Human-involved-creation Dataset for Tweet Summarization | 2018 | 4 |
| 16 | 2017 | 7 | |
| 17 | 2017 | 4 | |
| 18 | VSoLSCSum: Building a Vietnamese Sentence-Comment Dataset for Social Context Summarization | 2016 | 7 |
| 19 | System Design for Direct RF-to-Digital ΔΣ Receiver. | 2016 | 1 |
| 20 | 2015 | 2 |
About Minh-Tien Nguyen
Minh-Tien Nguyen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiological and Ultrasound Technology, having authored 47 papers that have together received 212 indexed citations. Recurring topics across this work include Topic Modeling (36 papers), Natural Language Processing Techniques (29 papers), Advanced Text Analysis Techniques (23 papers), Text and Document Classification Technologies (5 papers), Sentiment Analysis and Opinion Mining (3 papers), Biomedical Text Mining and Ontologies (3 papers), Handwritten Text Recognition Techniques (3 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Artificial Intelligence (175 citations), Health Informatics (2 citations) and Information Systems (31 citations). Minh-Tien Nguyen has collaborated with scholars based in Vietnam, Japan and Australia. Frequent co-authors include Le-Minh Nguyen, Vu Tran, Van-Hau Nguyen, Xuan Hoai Nguyen, Nguyễn Xuân Hoài, Quang-Thuy Ha, Xuan-Hieu Phan, Trần Viết Cường, Zhou Yu and Gianluca Demartini. Their work appears in journals such as Expert Systems with Applications, Human Behavior and Emerging Technologies, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence and Language Resources and Evaluation.
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.