Ting-En Lin

876 total citations
20 papers, 351 citations indexed

About

Ting-En Lin is a scholar working on Artificial Intelligence, Information Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Ting-En Lin has authored 20 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Ting-En Lin's work include Topic Modeling (10 papers), Speech and dialogue systems (7 papers) and Natural Language Processing Techniques (6 papers). Ting-En Lin is often cited by papers focused on Topic Modeling (10 papers), Speech and dialogue systems (7 papers) and Natural Language Processing Techniques (6 papers). Ting-En Lin collaborates with scholars based in China, United States and Australia. Ting-En Lin's co-authors include Hua Xu, Yongbin Li, Yuchuan Wu, Hua Xu, Yi Zhao, Guangming Lu, Rui Lyu, Fei Huang, Haoyu Gao and Min Yang and has published in prestigious journals such as Knowledge-Based Systems, Transactions of the Association for Computational Linguistics and Journal of the Ceramic Society of Japan.

In The Last Decade

Ting-En Lin

18 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting-En Lin China 9 277 65 49 46 29 20 351
Zhuang Chen China 11 443 1.6× 29 0.4× 53 1.1× 74 1.6× 24 0.8× 39 544
Guimin Huang China 9 211 0.8× 55 0.8× 36 0.7× 48 1.0× 41 1.4× 61 344
Donghong Han China 10 181 0.7× 25 0.4× 47 1.0× 30 0.7× 52 1.8× 27 261
Kai Gao China 8 382 1.4× 71 1.1× 66 1.3× 51 1.1× 38 1.3× 48 452
Roman Englert Germany 8 176 0.6× 40 0.6× 46 0.9× 38 0.8× 107 3.7× 23 262
Luu Anh Tuan Singapore 12 432 1.6× 22 0.3× 68 1.4× 93 2.0× 25 0.9× 31 497
Yashen Wang China 10 160 0.6× 37 0.6× 58 1.2× 74 1.6× 12 0.4× 32 280
Md Tahmid Rahman Laskar Canada 11 258 0.9× 25 0.4× 15 0.3× 41 0.9× 17 0.6× 24 352
Virach Sornlertlamvanich Thailand 13 390 1.4× 19 0.3× 93 1.9× 43 0.9× 44 1.5× 76 519
Fumiyo Fukumoto Japan 10 331 1.2× 35 0.5× 42 0.9× 113 2.5× 29 1.0× 62 393

Countries citing papers authored by Ting-En Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ting-En Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting-En Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-En Lin. A scholar is included among the top collaborators of Ting-En 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 Ting-En Lin. Ting-En Lin 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.
Lin, Ting-En, Min Yang, Yongbin Li, et al.. (2025). MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct. 19655–19682. 5 indexed citations
2.
Lin, Ting-En, et al.. (2025). Diverse AI Feedback For Large Language Model Alignment. Transactions of the Association for Computational Linguistics. 13. 392–407.
3.
Wang, Xiting, Ting-En Lin, Yuchuan Wu, et al.. (2024). Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. 5872–5900. 3 indexed citations
4.
5.
Lin, Ting-En, et al.. (2024). Improving Factual Consistency of News Summarization by Contrastive Preference Optimization. 11084–11100. 3 indexed citations
6.
Xu, Hua, et al.. (2023). Intent Recognition for Human-Machine Interactions. SpringerBriefs in computer science. 3 indexed citations
7.
Gao, Haoyu, Ting-En Lin, Min Yang, et al.. (2023). Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment. 7900–7913. 15 indexed citations
8.
Lin, Ting-En, et al.. (2023). Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning. 2481–2485. 4 indexed citations
9.
Wang, Bo, Ting-En Lin, Yinhe Zheng, et al.. (2023). Empathetic Response Generation via Emotion Cause Transition Graph. 1–5. 5 indexed citations
10.
Du, Ruoyi, et al.. (2023). Multi-View Active Fine-Grained Visual Recognition. 1568–1578. 3 indexed citations
11.
Lin, Ting-En, et al.. (2023). UniSA: Unified Generative Framework for Sentiment Analysis. 6132–6142. 8 indexed citations
12.
Lin, Ting-En, et al.. (2022). UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition. 7837–7851. 103 indexed citations
13.
Lin, Ting-En, Yuchuan Wu, Fei Huang, et al.. (2022). Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 3299–3308. 11 indexed citations
14.
Xu, Hua, et al.. (2021). Deep Open Intent Classification with Adaptive Decision Boundary. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14374–14382. 51 indexed citations
15.
Xu, Hua, et al.. (2021). Discovering New Intents with Deep Aligned Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14365–14373. 40 indexed citations
16.
Lin, Ting-En, et al.. (2020). Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 34(10). 13863–13864. 1 indexed citations
17.
Lin, Ting-En, et al.. (2020). Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8360–8367. 52 indexed citations
18.
Lin, Ting-En & Hua Xu. (2019). A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier. Knowledge-Based Systems. 186. 104979–104979. 27 indexed citations
19.
Lin, Ting-En, et al.. (2017). Automated machine learning for Internet of Things. 15 indexed citations
20.
Tseng, Wenjea J., et al.. (2010). Electrophoretic movement of hollow silica particles under DC electric fields. Journal of the Ceramic Society of Japan. 118(1376). 309–313. 2 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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