Yun-Nung Chen

3.9k total citations
93 papers, 1.6k citations indexed

About

Yun-Nung Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yun-Nung Chen has authored 93 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Yun-Nung Chen's work include Topic Modeling (72 papers), Natural Language Processing Techniques (56 papers) and Speech and dialogue systems (52 papers). Yun-Nung Chen is often cited by papers focused on Topic Modeling (72 papers), Natural Language Processing Techniques (56 papers) and Speech and dialogue systems (52 papers). Yun-Nung Chen collaborates with scholars based in Taiwan, United States and Hong Kong. Yun-Nung Chen's co-authors include Dilek Hakkani‐Tür, Jianfeng Gao, Alexander I. Rudnicky, Li Deng, Gökhan Tür, Aslı Çelikyılmaz, Hung-yi Lee, Shang‐Yu Su, Ye‐Yi Wang and William Yang Wang and has published in prestigious journals such as Journal of Medical Internet Research, Language Resources and Evaluation and Computer Speech & Language.

In The Last Decade

Yun-Nung Chen

90 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yun-Nung Chen Taiwan	22	1.4k	261	130	65	56	93	1.6k
Derek F. Wong Macao	21	1.0k 0.7×	317 1.2×	131 1.0×	114 1.8×	56 1.0×	132	1.4k
Xingcheng Yao China	2	1.1k 0.8×	322 1.2×	223 1.7×	63 1.0×	77 1.4×	3	1.4k
Benyou Wang China	17	729 0.5×	216 0.8×	149 1.1×	63 1.0×	26 0.5×	60	1.0k
Dinghan Shen United States	15	933 0.7×	474 1.8×	106 0.8×	46 0.7×	40 0.7×	24	1.2k
Selma Ayşe Özel Türkiye	15	700 0.5×	118 0.5×	216 1.7×	53 0.8×	80 1.4×	49	938
Jiajun Chen China	21	1.2k 0.9×	343 1.3×	111 0.9×	41 0.6×	41 0.7×	126	1.4k
Zhuosheng Zhang China	20	1.3k 0.9×	365 1.4×	125 1.0×	59 0.9×	32 0.6×	73	1.5k
Hao Zhou China	19	1.6k 1.1×	540 2.1×	126 1.0×	72 1.1×	52 0.9×	84	1.9k
Xiaozhi Wang China	10	941 0.7×	195 0.7×	127 1.0×	71 1.1×	34 0.6×	31	1.2k
Yuanbin Wu China	18	1.2k 0.8×	170 0.7×	171 1.3×	37 0.6×	34 0.6×	70	1.4k

Countries citing papers authored by Yun-Nung Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yun-Nung Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Nung Chen. 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 Yun-Nung Chen. The network helps show where Yun-Nung Chen may publish in the future.

Co-authorship network of co-authors of Yun-Nung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Nung Chen. A scholar is included among the top collaborators of Yun-Nung Chen 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 Yun-Nung Chen. Yun-Nung Chen 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

Cheng, Yi‐Jie, et al.. (2025). The Role of Exploration Modules in Small Language Models for Knowledge Graph Question Answering. 919–928.

Huang, Chao‐Wei, et al.. (2024). Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization. 16612–16631. 11 indexed citations

Chen, Yun-Nung, et al.. (2024). FactAlign: Long-form Factuality Alignment of Large Language Models. 16363–16375. 1 indexed citations

Chen, Yun-Nung, et al.. (2024). PairDistill: Pairwise Relevance Distillation for Dense Retrieval. 18225–18237. 1 indexed citations

Lin, Yen‐Ting & Yun-Nung Chen. (2023). LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models. 47–58. 30 indexed citations

Chen, Yun-Nung, et al.. (2022). Open-Domain Conversational Question Answering with Historical Answers. 319–326. 2 indexed citations

Chen, Yun-Nung, et al.. (2022). PLM-ICD: Automatic ICD Coding with Pretrained Language Models. 10–20. 32 indexed citations

Kang, Eugene Yu‐Chuan, Yun-Nung Chen, Yi‐Ting Hsieh, et al.. (2021). Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy. Journal of Diabetes Research. 2021. 1–9. 9 indexed citations

Lee, Hung-yi, et al.. (2020). TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation. arXiv (Cornell University). 33. 19422–19432. 1 indexed citations

10.

Chen, Yun-Nung, et al.. (2019). Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems. 2656–2668. 63 indexed citations

11.

Su, Shang‐Yu, et al.. (2018). Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling.. arXiv (Cornell University). 2 indexed citations

12.

Chen, Yun-Nung & Florian Metze. (2018). Intra-Speaker Topic Modeling for Improved Multi-Party Meeting Summarization with Integrated Random Walk. Figshare. 377–381. 3 indexed citations

13.

Chen, Yun-Nung, Aslı Çelikyılmaz, & Dilek Hakkani‐Tür. (2018). Deep Learning for Dialogue Systems. International Conference on Computational Linguistics. 25–31. 4 indexed citations

14.

Jauhar, Sunil Kumar, Yun-Nung Chen, & Florian Metze. (2018). Prosody-Based Unsupervised Speech Summarization with Two-Layer Mutually Reinforced Random Walk. Figshare. 648–654.

15.

Su, Shang‐Yu, Xiujun Li, Jianfeng Gao, Jingjing Liu, & Yun-Nung Chen. (2018). Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. 3813–3823. 39 indexed citations

16.

Chen, Yun-Nung & Jianfeng Gao. (2017). Open-Domain Neural Dialogue Systems.. International Joint Conference on Natural Language Processing. 6–10. 2 indexed citations

17.

Hakkani‐Tür, Dilek, Gökhan Tür, Aslı Çelikyılmaz, et al.. (2016). Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM. 715–719. 270 indexed citations

18.

Sun, Ming, et al.. (2016). AppDialogue: Multi-App Dialogues for Intelligent Assistants.. Language Resources and Evaluation. 3127–3132. 1 indexed citations

19.

Chen, Yun-Nung, Dilek Hakkani‐Tür, & Xiaodong He. (2015). Learning Bidirectional Intent Embeddings by Convolutional Deep Structured Semantic Models for Spoken Language Understanding. Neural Information Processing Systems. 2 indexed citations

20.

Chen, Yun-Nung, Kai-Min Chang, & Jack Mostow. (2012). Towards Using EEG to Improve ASR Accuracy. North American Chapter of the Association for Computational Linguistics. 382–385. 4 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.

Explore authors with similar magnitude of impact