Chien-Sheng Wu
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Experimental and Cognitive Psychology
- Human-Computer Interaction top 10%
- Co-authors
- Caiming XiongAndrea MadottoWenhao LiuPascale FungRichard SocherSteven C. H. HoiPhilippe LabanZhaojiang Lin
- Topics
- Topic Modeling (39 papers)Natural Language Processing Techniques (30 papers)Speech and dialogue systems (11 papers)
- Journals
- ACM Transactions on Computer-Human InteractionModelling and Simulation in EngineeringRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- United StatesHong KongTaiwan
In The Last Decade
Chien-Sheng Wu
50 papers receiving 824 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 755
- Computer Vision and Pattern Recognition 117
- Information Systems 71
- Experimental and Cognitive Psychology 56
- Human-Computer Interaction 33
Countries citing papers authored by Chien-Sheng Wu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 35 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 125 | |
| 17 | 43 | |
| 18 | 91 | |
| 19 | Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition | 12 |
| 20 | 65 |
About Chien-Sheng Wu
Chien-Sheng Wu is a scholar working on Artificial Intelligence, General Social Sciences and Communication, having authored 55 papers that have together received 870 indexed citations. Recurring topics across this work include Topic Modeling (39 papers), Natural Language Processing Techniques (30 papers) and Speech and dialogue systems (11 papers). The work is most often cited by research in Artificial Intelligence (755 citations), Health Informatics (10 citations) and Human-Computer Interaction (33 citations). Chien-Sheng Wu has collaborated with scholars based in United States, Hong Kong and Taiwan. Frequent co-authors include Caiming Xiong, Andrea Madotto, Wenhao Liu, Pascale Fung, Richard Socher, Steven C. H. Hoi, Philippe Laban, Pascale Fung, Zhaojiang Lin and Alexander R. Fabbri. Their work appears in 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).
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.