Thi Nguyen

1.4k total citations · 1 hit paper
11 papers, 751 citations indexed

About

Thi Nguyen is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Thi Nguyen has authored 11 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Thi Nguyen's work include Autonomous Vehicle Technology and Safety (6 papers), Advanced Neural Network Applications (5 papers) and Vehicle Dynamics and Control Systems (2 papers). Thi Nguyen is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Advanced Neural Network Applications (5 papers) and Vehicle Dynamics and Control Systems (2 papers). Thi Nguyen collaborates with scholars based in Vietnam, United States and Australia. Thi Nguyen's co-authors include Fang‐Chieh Chou, Tsung-Han Lin, Nemanja Djuric, Jeff Schneider, Henggang Cui, Vladan Radosavljević, Tzu-Kuo Huang, Nitin Singh, David Bradley and Loan Quynh Thi Nguyen and has published in prestigious journals such as Technological Forecasting and Social Change, Journal of Asian Economics and arXiv (Cornell University).

In The Last Decade

Thi Nguyen

10 papers receiving 717 citations

Hit Papers

Multimodal Trajectory Pre... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thi Nguyen Vietnam 8 529 340 215 178 175 11 751
Ismaïl Berrada Morocco 11 131 0.2× 109 0.3× 253 1.2× 34 0.2× 66 0.4× 62 501
Ye Tian China 17 442 0.8× 47 0.1× 75 0.3× 122 0.7× 207 1.2× 88 789
Jiwon Kim Australia 14 207 0.4× 31 0.1× 39 0.2× 151 0.8× 288 1.6× 45 769
Mélanie Bouroche Ireland 12 214 0.4× 48 0.1× 54 0.3× 54 0.3× 85 0.5× 51 539
Omid Ardakanian Canada 15 178 0.3× 46 0.1× 110 0.5× 20 0.1× 179 1.0× 68 855
Allan M. de Souza Brazil 16 144 0.3× 69 0.2× 97 0.5× 32 0.2× 371 2.1× 67 809
Junchen Jin Sweden 17 178 0.3× 44 0.1× 105 0.5× 33 0.2× 400 2.3× 42 771
Ugur Demiryurek United States 17 129 0.2× 81 0.2× 145 0.7× 35 0.2× 366 2.1× 29 922
Angshuman Guin United States 14 109 0.2× 40 0.1× 49 0.2× 112 0.6× 377 2.2× 61 670

Countries citing papers authored by Thi Nguyen

Since Specialization
Citations

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

Fields of papers citing papers by Thi Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thi Nguyen

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

All Works

11 of 11 papers shown
1.
Nguyen, Thi, et al.. (2024). Terminalia catappa leaf extract as a bio-reducing agent to synthesize Cu2O nanoparticles for methylene blue photodegradation. Discover Applied Sciences. 6(6). 3 indexed citations
2.
Nguyen, Thi, et al.. (2022). The impact of opportunity factors on fraudulent behavior in the Vietnamese stock market. Journal of Asian Economics. 79. 101451–101451. 2 indexed citations
3.
Nguyen, Loan Quynh Thi, et al.. (2021). The role of blockchain technology-based social crowdfunding in advancing social value creation. Technological Forecasting and Social Change. 170. 120898–120898. 49 indexed citations
4.
Djuric, Nemanja, Vladan Radosavljević, Henggang Cui, et al.. (2020). Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving. 2084–2093. 134 indexed citations
5.
Cui, Henggang, Thi Nguyen, Fang‐Chieh Chou, et al.. (2020). Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions. 10563–10569. 57 indexed citations
7.
Cui, Henggang, Thi Nguyen, Fang‐Chieh Chou, et al.. (2019). Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories. arXiv (Cornell University). 7 indexed citations
8.
Nguyen, Tam Ngoc, et al.. (2019). DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision. Neural Information Processing Systems. 32. 204–214. 38 indexed citations
9.
Cui, Henggang, Vladan Radosavljević, Fang‐Chieh Chou, et al.. (2019). Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. 2090–2096. 414 indexed citations breakdown →
10.
Djuric, Nemanja, Vladan Radosavljević, Henggang Cui, et al.. (2018). Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks.. arXiv (Cornell University). 26 indexed citations
11.
Djuric, Nemanja, Vladan Radosavljević, Henggang Cui, et al.. (2018). Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. arXiv (Cornell University). 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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