Hsien-chin Lin

445 total citations
13 papers, 58 citations indexed

About

Hsien-chin Lin is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hsien-chin Lin has authored 13 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Hsien-chin Lin's work include Speech and dialogue systems (11 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (4 papers). Hsien-chin Lin is often cited by papers focused on Speech and dialogue systems (11 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (4 papers). Hsien-chin Lin collaborates with scholars based in Germany, United Kingdom and China. Hsien-chin Lin's co-authors include Milica Gašić, Michael Heck, Nurul Lubis, Jianfeng Gao, Minlie Huang, Andrey Malinin, Qi Zhu, Baolin Peng, Hung-yi Lee and Chi-Yu Yang and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Hsien-chin Lin

10 papers receiving 57 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsien-chin Lin Germany 6 53 6 5 5 1 13 58
Kelechi Ogueji Canada 3 69 1.3× 6 1.0× 3 0.6× 9 1.8× 5 77
Shikib Mehri United States 4 43 0.8× 6 1.0× 2 0.4× 5 1.0× 8 53
Jessy Lin United States 3 29 0.5× 3 0.5× 5 1.0× 8 1.6× 1 1.0× 4 38
Bjarke Felbo United States 2 42 0.8× 3 0.5× 2 0.4× 6 1.2× 2 50
Hany Hassan Awadalla United States 3 43 0.8× 5 0.8× 5 1.0× 1 1.0× 5 49
Arthur Bražinskas United Kingdom 4 34 0.6× 6 1.0× 3 0.6× 6 37
George Zerveas United States 4 28 0.5× 5 0.8× 7 1.4× 8 32
Memduh Gökırmak Russia 4 40 0.8× 3 0.5× 5 1.0× 1 1.0× 6 42
Sushant Prakash United States 2 55 1.0× 8 1.3× 7 1.4× 2 2.0× 2 61
Soumya Sanyal United States 4 35 0.7× 4 0.7× 1 0.2× 7 1.4× 6 39

Countries citing papers authored by Hsien-chin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hsien-chin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsien-chin Lin. 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 Hsien-chin Lin. The network helps show where Hsien-chin Lin may publish in the future.

Co-authorship network of co-authors of Hsien-chin Lin

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

All Works

13 of 13 papers shown
1.
Heck, Michael, et al.. (2025). Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling. Proceedings of the AAAI Conference on Artificial Intelligence. 39(22). 24059–24068.
2.
Lubis, Nurul, et al.. (2024). Learning With an Open Horizon in Ever-Changing Dialogue Circumstances. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2352–2366. 1 indexed citations
4.
Lin, Hsien-chin, et al.. (2023). EmoUS: Simulating User Emotions in Task-Oriented Dialogues. arXiv (Cornell University). 2526–2531. 6 indexed citations
5.
Zhu, Qi, Hsien-chin Lin, Baolin Peng, et al.. (2023). ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. 106–123. 9 indexed citations
7.
Heck, Michael, et al.. (2023). ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?. 936–950. 12 indexed citations
8.
9.
Lubis, Nurul, et al.. (2022). Dialogue Evaluation with Offline Reinforcement Learning. 478–489. 2 indexed citations
10.
Heck, Michael, et al.. (2022). Robust Dialogue State Tracking with Weak Supervision and Sparse Data. Transactions of the Association for Computational Linguistics. 10. 1175–1192. 10 indexed citations
11.
Malinin, Andrey, et al.. (2021). Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7901–7914. 5 indexed citations
12.
Heck, Michael, et al.. (2020). TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking. arXiv (Cornell University). 35–44. 6 indexed citations
13.
Lin, Hsien-chin, Chi-Yu Yang, Hung-yi Lee, & Lin-shan Lee. (2018). Domain Independent Key Term Extraction from Spoken Content Based on Context and Term Location Information in the Utterances. 6044–6048.

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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