Bo-Hsiang Tseng

544 total citations
16 papers, 102 citations indexed

About

Bo-Hsiang Tseng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Bo-Hsiang Tseng has authored 16 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Bo-Hsiang Tseng's work include Topic Modeling (13 papers), Speech and dialogue systems (12 papers) and Natural Language Processing Techniques (11 papers). Bo-Hsiang Tseng is often cited by papers focused on Topic Modeling (13 papers), Speech and dialogue systems (12 papers) and Natural Language Processing Techniques (11 papers). Bo-Hsiang Tseng collaborates with scholars based in United Kingdom, Taiwan and Germany. Bo-Hsiang Tseng's co-authors include Hung-yi Lee, Bill Byrne, Yinpei Dai, Yu Tsao, Tsung-Hsien Wen, Paweł Budzianowski, David Vandyke, Jianpeng Cheng, Milica Gašić and Carl Edward Rasmussen and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing and Spiral (Imperial College London).

In The Last Decade

Bo-Hsiang Tseng

14 papers receiving 92 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo-Hsiang Tseng United Kingdom 6 89 18 8 8 5 16 102
Kumar Shridhar Switzerland 7 75 0.8× 14 0.8× 10 1.3× 10 1.3× 4 0.8× 13 98
Marek Wydmuch Poland 4 71 0.8× 15 0.8× 9 1.1× 5 0.6× 8 1.6× 6 81
Shang‐Yu Su Taiwan 6 132 1.5× 38 2.1× 6 0.8× 8 1.0× 5 1.0× 18 149
Xiachong Feng China 7 159 1.8× 13 0.7× 10 1.3× 4 0.5× 4 0.8× 15 175
Ameya Prabhu United Kingdom 5 115 1.3× 31 1.7× 10 1.3× 7 0.9× 3 0.6× 11 133
Barun Patra United States 5 83 0.9× 26 1.4× 5 0.6× 3 0.4× 7 1.4× 15 106
Shachi Paul United States 4 112 1.3× 21 1.2× 6 0.8× 4 0.5× 5 1.0× 4 126
Aditya Bhargava Canada 7 166 1.9× 40 2.2× 11 1.4× 6 0.8× 10 2.0× 15 187
Tosin Adewumi Sweden 7 73 0.8× 16 0.9× 8 1.0× 2 0.3× 2 0.4× 18 101
Ju Xu China 4 87 1.0× 57 3.2× 7 0.9× 4 0.5× 6 1.2× 6 110

Countries citing papers authored by Bo-Hsiang Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Bo-Hsiang Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo-Hsiang Tseng. 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 Bo-Hsiang Tseng. The network helps show where Bo-Hsiang Tseng may publish in the future.

Co-authorship network of co-authors of Bo-Hsiang Tseng

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

All Works

16 of 16 papers shown
1.
Kulkarni, Atharva, et al.. (2025). Evaluating Evaluation Metrics – The Mirage of Hallucination Detection. 19013–19032.
2.
Kulkarni, Atharva, et al.. (2024). SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking. 1988–2001.
3.
Tseng, Bo-Hsiang, et al.. (2023). More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. 1443–1454. 1 indexed citations
4.
5.
Tseng, Bo-Hsiang, et al.. (2021). Transferable Dialogue Systems and User Simulators. 152–166. 26 indexed citations
6.
Tseng, Bo-Hsiang, et al.. (2021). CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues. 3390–3406. 9 indexed citations
7.
Tseng, Bo-Hsiang, et al.. (2020). A Generative Model for Joint Natural Language Understanding and Generation. 1795–1807. 13 indexed citations
8.
9.
Tseng, Bo-Hsiang, et al.. (2020). Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems. 854–863. 4 indexed citations
10.
Tseng, Bo-Hsiang, Marek Rei, Paweł Budzianowski, et al.. (2019). Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling. Spiral (Imperial College London). 1273–1278. 4 indexed citations
11.
12.
Lee, Chia‐Hsuan, et al.. (2019). Machine Comprehension of Spoken Content: TOEFL Listening Test and Spoken SQuAD. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(9). 1469–1480. 5 indexed citations
13.
Casanueva, Iñigo, et al.. (2018). Feudal Dialogue Management with Jointly Learned Feature Extractors. 332–337. 6 indexed citations
14.
Ultes, Stefan, Paweł Budzianowski, Iñigo Casanueva, et al.. (2018). Addressing Objects and Their Relations: The Conversational Entity Dialogue Model. 273–283. 4 indexed citations
15.
Ko, Wei-Jen, Bo-Hsiang Tseng, & Hung-yi Lee. (2017). Recurrent Neural Network based language modeling with controllable external Memory. 5705–5709. 4 indexed citations
16.
Lee, Hung-yi, Bo-Hsiang Tseng, Tsung-Hsien Wen, & Yu Tsao. (2016). Personalizing Recurrent-Neural-Network-Based Language Model by Social Network. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(3). 519–530. 18 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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2026