Chien-Sheng Wu

3.1k total citations · 1 hit paper
55 papers, 870 citations indexed

About

Chien-Sheng Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chien-Sheng Wu has authored 55 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chien-Sheng Wu's work include Topic Modeling (39 papers), Natural Language Processing Techniques (30 papers) and Speech and dialogue systems (11 papers). Chien-Sheng Wu is often cited by papers focused on Topic Modeling (39 papers), Natural Language Processing Techniques (30 papers) and Speech and dialogue systems (11 papers). Chien-Sheng Wu collaborates with scholars based in United States, Hong Kong and Taiwan. Chien-Sheng Wu's co-authors include Caiming Xiong, Andrea Madotto, Wenhao Liu, Pascale Fung, Richard Socher, Steven C. H. Hoi, Philippe Laban, Zhaojiang Lin, Pascale Fung and Alexander R. Fabbri and has published in prestigious journals such as ACM Transactions on Computer-Human Interaction, Modelling and Simulation in Engineering and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Chien-Sheng Wu

50 papers receiving 824 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Art or Artifice? Large Language Models and the False Promise of Creativity

2024 45 citations Tuhin Chakrabarty, Philippe Laban et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chien-Sheng Wu United States	15	755	117	71	56	33	55	870
Minlie Huang China	12	890 1.2×	163 1.4×	90 1.3×	101 1.8×	17 0.5×	35	1.0k
Paul Piwek United Kingdom	15	523 0.7×	80 0.7×	100 1.4×	103 1.8×	16 0.5×	82	730
Hrafn Loftsson Iceland	11	497 0.7×	35 0.3×	58 0.8×	55 1.0×	13 0.4×	39	641
Ryuichiro Higashinaka Japan	18	905 1.2×	76 0.6×	86 1.2×	68 1.2×	31 0.9×	124	1.0k
Pierre Lison Norway	12	648 0.9×	115 1.0×	47 0.7×	22 0.4×	17 0.5×	35	760
Lori Levin United States	19	1.0k 1.4×	71 0.6×	55 0.8×	82 1.5×	12 0.4×	102	1.2k
Jianbo Yuan United States	11	215 0.3×	170 1.5×	44 0.6×	53 0.9×	42 1.3×	25	471
Jan Odijk Netherlands	8	449 0.6×	34 0.3×	54 0.8×	79 1.4×	14 0.4×	41	592
Andy Coenen United States	4	274 0.4×	78 0.7×	53 0.7×	33 0.6×	64 1.9×	6	461
Stephen Roller United States	12	597 0.8×	130 1.1×	54 0.8×	13 0.2×	13 0.4×	16	720

Countries citing papers authored by Chien-Sheng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chien-Sheng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Sheng Wu. 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 Chien-Sheng Wu. The network helps show where Chien-Sheng Wu may publish in the future.

Co-authorship network of co-authors of Chien-Sheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Sheng Wu. A scholar is included among the top collaborators of Chien-Sheng Wu 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 Chien-Sheng Wu. Chien-Sheng Wu 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

Fabbri, Alexander R., et al.. (2025). Evaluating Cultural and Social Awareness of LLM Web Agents. 3978–4005. 1 indexed citations

Peng, Xiangyu, Prafulla Kumar Choubey, Caiming Xiong, & Chien-Sheng Wu. (2025). Unanswerability Evaluation for Retrieval Augmented Generation. 8452–8472.

Zhang, Jianguo, Zuxin Liu, Ming Zhu, et al.. (2025). LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. 12921–12934.

Laban, Philippe, et al.. (2025). Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding. 4830–4843.

Choubey, Prafulla Kumar, et al.. (2025). Turning Conversations into Workflows: A Framework to Extract and Evaluate Dialog Workflows for Service AI Agents. 3933–3954.

Liu, Yixin, Alexander R. Fabbri, Jiawen Chen, et al.. (2024). Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. 4481–4501. 4 indexed citations

Laban, Philippe, Alexander R. Fabbri, Prafulla Kumar Choubey, et al.. (2024). Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. 570–593. 1 indexed citations

Chakrabarty, Tuhin, et al.. (2024). Art or Artifice? Large Language Models and the False Promise of Creativity. 1–34. 45 indexed citations breakdown →

Laban, Philippe, et al.. (2023). Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems. 9823–9838. 2 indexed citations

10.

Liu, Yixin, Alexander R. Fabbri, Yilun Zhao, et al.. (2023). Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. 16360–16368. 2 indexed citations

11.

Wu, Chien-Sheng, et al.. (2022). MixQG: Neural Question Generation with Mixed Answer Types. 1486–1497. 21 indexed citations

12.

Gupta, Prakhar, Chien-Sheng Wu, Wenhao Liu, & Caiming Xiong. (2022). DialFact: A Benchmark for Fact-Checking in Dialogue. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3785–3801. 35 indexed citations

13.

Choubey, Prafulla Kumar, et al.. (2022). Improving Factual Consistency in Summarization with Compression-Based Post-Editing. 9149–9156. 7 indexed citations

14.

Laban, Philippe, Chien-Sheng Wu, Wenhao Liu, & Caiming Xiong. (2022). Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. 2094–2108. 3 indexed citations

15.

Wu, Chien-Sheng, Steven C. H. Hoi, Richard Socher, & Caiming Xiong. (2020). TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. 917–929. 125 indexed citations

16.

Winata, Genta Indra, Andrea Madotto, Chien-Sheng Wu, & Pascale Fung. (2019). Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 43 indexed citations

17.

Madotto, Andrea, Zhaojiang Lin, Chien-Sheng Wu, & Pascale Fung. (2019). Personalizing Dialogue Agents via Meta-Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5454–5459. 91 indexed citations

18.

Xu, Peng, Andrea Madotto, Chien-Sheng Wu, Ji Ho Park, & Pascale Fung. (2018). Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training. 292–298. 45 indexed citations

19.

Fung, Pascale, Farhad Bin Siddique, Ruixi Lin, et al.. (2016). Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 278–281. 12 indexed citations

20.

Bertero, Dario, et al.. (2016). Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1042–1047. 65 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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