Vu Tran

514 total citations
31 papers, 245 citations indexed

About

Vu Tran is a scholar working on Artificial Intelligence, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Vu Tran has authored 31 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Political Science and International Relations and 4 papers in Sociology and Political Science. Recurrent topics in Vu Tran's work include Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Artificial Intelligence in Law (8 papers). Vu Tran is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Artificial Intelligence in Law (8 papers). Vu Tran collaborates with scholars based in Japan, Vietnam and Singapore. Vu Tran's co-authors include Le-Minh Nguyen, Minh-Tien Nguyen, Ken Satoh, Quan Hung Tran, Tu Vu, Son Bao Pham, Ha-Thanh Nguyen, Satoshi Tojo, Từ Minh Phương and Ngo Xuan Bach and has published in prestigious journals such as Knowledge-Based Systems, Physical review. B. and Frontiers in Public Health.

In The Last Decade

Vu Tran

26 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vu Tran Japan	9	199	74	54	16	15	31	245
Juliano Rabelo Canada	9	118 0.6×	73 1.0×	26 0.5×	5 0.3×	35 2.3×	20	186
Nisansa de Silva Sri Lanka	8	128 0.6×	35 0.5×	28 0.5×	8 0.5×	12 0.8×	39	168
Daniela Tiscornia Italy	7	110 0.6×	57 0.8×	30 0.6×	10 0.6×	5 0.3×	22	135
Dirk Hartung United States	6	99 0.5×	121 1.6×	16 0.3×	12 0.8×	6 0.4×	16	188
Christopher Keith Hall United States	7	36 0.2×	111 1.5×	51 0.9×	64 4.0×	47 3.1×	15	208
Zikun Hu China	3	106 0.5×	72 1.0×	15 0.3×	2 0.1×	10 0.7×	7	139
Terence Anderson United States	5	92 0.5×	67 0.9×	18 0.3×	13 0.8×	6 0.4×	10	185
Tae Yano United States	7	170 0.9×	10 0.1×	55 1.0×	40 2.5×	15 1.0×	16	250
Paheli Bhattacharya India	9	151 0.8×	107 1.4×	15 0.3×	2 0.1×	4 0.3×	15	172
Zhipeng Guo China	4	155 0.8×	165 2.2×	15 0.3×	6 0.4×	30 2.0×	4	245

Countries citing papers authored by Vu Tran

Since Specialization

Citations

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

Fields of papers citing papers by Vu Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vu Tran

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

Tran, Vu, et al.. (2025). Survey and analysis of hallucinations in large language models: attribution to prompting strategies or model behavior. Frontiers in Artificial Intelligence. 8. 1622292–1622292. 5 indexed citations

Nguyen, Hiep T., et al.. (2025). DeepSIX at ACM MM 2025 Grand Challenge: Enhancing Context Text Processing for Multimodal Hallucination Detection and Fact Verification. 13874–13880.

Tran, Vu, François Septier, Daisuke Murakami, & Tomoko Matsui. (2024). Spatial–Temporal Temperature Forecasting Using Deep-Neural-Network-Based Domain Adaptation. Atmosphere. 15(1). 90–90. 1 indexed citations

Pham, Trang, Quyen D. Chu, Cuong Viet Nguyen, et al.. (2024). A Summary of the ALQAC 2024 Competition. 422–427.

Tran, Vu, et al.. (2023). COVID-19 case prediction using emotion trends via Twitter emoji analysis: A case study in Japan. Frontiers in Public Health. 11. 5 indexed citations

Tran, Vu, et al.. (2022). Tweet Analysis for Enhancement of COVID-19 Epidemic Simulation: A Case Study in Japan. Frontiers in Public Health. 10. 806813–806813. 8 indexed citations

Nguyen, Phuong, Tung Le, Huy Tien Nguyen, Vu Tran, & Le-Minh Nguyen. (2022). PhraseTransformer: an incorporation of local context information into sequence-to-sequence semantic parsing. Applied Intelligence. 53(12). 15889–15908. 1 indexed citations

Nguyen, Ha-Thanh, et al.. (2022). Attentive deep neural networks for legal document retrieval. Artificial Intelligence and Law. 32(1). 57–86. 15 indexed citations

Bui, Quan M., Ha-Thanh Nguyen, Vu Tran, et al.. (2022). SM-BERT-CR: a deep learning approach for case law retrieval with supporting model. Artificial Intelligence and Law. 31(3). 601–628. 17 indexed citations

10.

Tran, Vu, et al.. (2020). How State-Of-The-Art Models Can Deal With Long-Form Question Answering. Pacific Asia Conference on Language, Information, and Computation. 375–382. 1 indexed citations

11.

Tran, Vu, Le-Minh Nguyen, Satoshi Tojo, & Ken Satoh. (2020). Encoded summarization: summarizing documents into continuous vector space for legal case retrieval. Artificial Intelligence and Law. 28(4). 441–467. 26 indexed citations

12.

Tran, Vu, et al.. (2019). Leveraging Additional Resources for Improving Statistical Machine Translation on Asian Low-Resource Languages. ACM Transactions on Asian and Low-Resource Language Information Processing. 18(3). 1–22. 7 indexed citations

13.

Tran, Vu, Le-Minh Nguyen, Kiyoaki Shirai, & Ken Satoh. (2019). An Approach of Rhetorical Status Recognition for Judgments in Court Documents using Deep Learning Models. 1–6.

14.

Tran, Vu, E. Y. K. Ng, & Martin Skote. (2019). CFD simulation of dense gas dispersion in neutral atmospheric boundary layer with OpenFOAM. Meteorology and Atmospheric Physics. 132(2). 273–285. 6 indexed citations

15.

Nguyen, Minh-Tien, Vu Tran, Le-Minh Nguyen, & Xuan-Hieu Phan. (2018). Exploiting User Posts for Web Document Summarization. ACM Transactions on Knowledge Discovery from Data. 12(4). 1–28. 3 indexed citations

16.

Tran, Vu, et al.. (2017). Investigating Phrase-Based and Neural-Based Machine Translation on Low-Resource Settings. Waseda University Repository (Waseda University). 384–391. 3 indexed citations

17.

Nguyen, Minh-Tien, et al.. (2017). Exploiting User-Generated Content to Enrich Web Document Summarization. International Journal of Artificial Intelligence Tools. 26(5). 1760017–1760017. 4 indexed citations

18.

Nguyen, Minh-Tien, Vu Tran, & Le-Minh Nguyen. (2017). Social context summarization using user-generated content and third-party sources. Knowledge-Based Systems. 144. 51–64. 11 indexed citations

19.

Nguyen, Minh-Tien, et al.. (2016). VSoLSCSum: Building a Vietnamese Sentence-Comment Dataset for Social Context Summarization. International Conference on Computational Linguistics. 38–48. 7 indexed citations

20.

Tran, Quan Hung, Vu Tran, Tu Vu, Le-Minh Nguyen, & Son Bao Pham. (2015). JAIST: Combining multiple features for Answer Selection in Community Question Answering. 215–219. 49 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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