Nguyễn Bách

1.1k total citations
31 papers, 491 citations indexed

About

Nguyễn Bách is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Nguyễn Bách has authored 31 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Nguyễn Bách's work include Natural Language Processing Techniques (25 papers), Topic Modeling (23 papers) and Speech and dialogue systems (5 papers). Nguyễn Bách is often cited by papers focused on Natural Language Processing Techniques (25 papers), Topic Modeling (23 papers) and Speech and dialogue systems (5 papers). Nguyễn Bách collaborates with scholars based in United States, Cayman Islands and China. Nguyễn Bách's co-authors include Fei Huang, Yong Jiang, Zhongqiang Huang, Kewei Tu, Xinyu Wang, Stephan Vogel, Tao Wang, Yaser Al-Onaizan, Qin Gao and Radu Soricut and has published in prestigious journals such as Language Learning Journal, European Journal of Trauma and Emergency Surgery and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Nguyễn Bách

29 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nguyễn Bách United States 11 435 91 36 36 30 31 491
Shizhe Diao Hong Kong 9 208 0.5× 75 0.8× 25 0.7× 14 0.4× 14 0.5× 23 280
Meng Zhao China 8 318 0.7× 61 0.7× 45 1.3× 10 0.3× 19 0.6× 34 380
Shengqiong Wu China 12 395 0.9× 75 0.8× 35 1.0× 51 1.4× 18 0.6× 28 470
Austin Matthews United States 5 355 0.8× 82 0.9× 30 0.8× 11 0.3× 38 1.3× 7 401
Junfeng Tian China 10 252 0.6× 78 0.9× 45 1.3× 5 0.1× 7 0.2× 24 309
Dingfan Chen Germany 5 271 0.6× 73 0.8× 33 0.9× 8 0.2× 12 0.4× 9 311
Prachi Jain India 7 156 0.4× 34 0.4× 17 0.5× 25 0.7× 8 0.3× 28 220
Wenpeng Hu China 12 390 0.9× 125 1.4× 56 1.6× 12 0.3× 12 0.4× 27 438
Weihua Luo China 14 462 1.1× 187 2.1× 37 1.0× 10 0.3× 22 0.7× 44 505
Sudha Morwal India 7 206 0.5× 29 0.3× 46 1.3× 24 0.7× 17 0.6× 25 263

Countries citing papers authored by Nguyễn Bách

Since Specialization
Citations

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

Fields of papers citing papers by Nguyễn Bách

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nguyễn Bách

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

All Works

20 of 20 papers shown
1.
Bách, Nguyễn, et al.. (2025). Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis. European Journal of Trauma and Emergency Surgery. 51(1). 115–115. 5 indexed citations
2.
Hung, Truong Nguyen Khanh, et al.. (2024). Multi-Class Deep Learning Model for Detecting Pediatric Distal Forearm Fractures Based on the AO/OTA Classification. Journal of Imaging Informatics in Medicine. 37(2). 725–733. 10 indexed citations
3.
Bách, Nguyễn, et al.. (2023). The effect of semantic and physical similarity on vocabulary learning. Language Learning Journal. 53(1). 40–52. 1 indexed citations
4.
Pham, Phuong, et al.. (2023). PP4AV: A benchmarking Dataset for Privacy-preserving Autonomous Driving. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1206–1215. 6 indexed citations
5.
Wang, Xinyu, Min Gui, Yong Jiang, et al.. (2022). ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3176–3189. 34 indexed citations
6.
Wang, Xinyu, Yong Jiang, Nguyễn Bách, et al.. (2021). Automated Concatenation of Embeddings for Structured Prediction. 2643–2660. 76 indexed citations
7.
Wang, Xinyu, Yong Jiang, Nguyễn Bách, et al.. (2021). Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. 1800–1812. 77 indexed citations
8.
Ma, Xinyin, Yong Jiang, Nguyễn Bách, et al.. (2021). MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2617–2624. 5 indexed citations
9.
Wang, Xinyu, Yong Jiang, Nguyễn Bách, et al.. (2021). Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor. 550–564. 5 indexed citations
10.
Jiang, Yong, Nguyễn Bách, Tao Wang, et al.. (2021). Multi-View Cross-Lingual Structured Prediction with Minimum Supervision. 2661–2674. 6 indexed citations
11.
Wang, Xinyu, Yong Jiang, Nguyễn Bách, et al.. (2020). AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network. 6019–6026. 1 indexed citations
12.
Bách, Nguyễn & Fei Huang. (2019). Noisy BiLSTM-Based Models for Disfluency Detection. 4230–4234. 23 indexed citations
13.
Su, Yuanhang, Kai Fan, Nguyễn Bách, C.‐C. Jay Kuo, & Fei Huang. (2019). Unsupervised Multi-Modal Neural Machine Translation. 10474–10483. 44 indexed citations
14.
Soricut, Radu, et al.. (2012). The SDL Language Weaver Systems in the WMT12 Quality Estimation Shared Task. 145–151. 30 indexed citations
15.
Bách, Nguyễn, et al.. (2011). CMU Haitian Creole-English Translation System for WMT 2011. Workshop on Statistical Machine Translation. 386–392. 4 indexed citations
16.
Bách, Nguyễn, Qin Gao, Stephan Vogel, & Alex Waibel. (2011). TriS: A Statistical Sentence Simplifier with Log-linear Models and Margin-based Discriminative Training. International Joint Conference on Natural Language Processing. 474–482. 12 indexed citations
17.
Gao, Qin, Nguyễn Bách, & Stephan Vogel. (2010). A Semi-supervised Word Alignment Algorithm with Partial Manual Alignments. Workshop on Statistical Machine Translation. 1–10. 15 indexed citations
18.
Bách, Nguyễn, Qin Gao, & Stephan Vogel. (2009). Source-side Dependency Tree Reordering Models with Subtree Movements and Constraints. KITopen. 9 indexed citations
19.
Gao, Qin, et al.. (2008). Recent improvements in the CMU large scale Chinese-English SMT system. 77–77. 4 indexed citations
20.
Zhao, Bing, Nguyễn Bách, Ian Lane, & Stephan Vogel. (2007). A Log-Linear Block Transliteration Model based on Bi-Stream HMMs. North American Chapter of the Association for Computational Linguistics. 364–371. 16 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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