Yiming Cui
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
- AI in Service Interactions
Papers in
-
- Topic Modeling 20
- Natural Language Processing Techniques 14
- Speech and dialogue systems 3
-
- Multimodal Machine Learning Applications 9
- Co-authors
- Ting Liu (10 shared papers)Shijin Wang (12 shared papers)Wanxiang Che (6 shared papers)Kuo Liu (2 shared papers)Wei Han (1 shared paper)Yongqing Wang (2 shared papers)Dong Wang (1 shared paper)Ting Liu (1 shared paper)
In The Last Decade
Yiming Cui
49 papers receiving 634 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 314
- Industrial and Manufacturing Engineering 57
- Computer Vision and Pattern Recognition 107
- Health Informatics 6
- Human-Computer Interaction 21
Countries citing papers authored by Yiming Cui
This map shows the geographic impact of Yiming Cui'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 Yiming Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiming Cui more than expected).
Fields of papers citing papers by Yiming Cui
This network shows the impact of papers produced by Yiming Cui. 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 Yiming Cui. The network helps show where Yiming Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiming Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2021 | 79 | |
| 3 | 2019 | 74 | |
| 4 | 2018 | 47 | |
| 5 | 2020 | 45 | |
| 6 | 2017 | 41 | |
| 7 | Context-Sensitive Generation of Open-Domain Conversational Responses | 2018 | 21 |
| 8 | 2024 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2016 | 16 | |
| 11 | 2021 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2022 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2020 | 8 |
About Yiming Cui
Yiming Cui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 51 papers that have together received 650 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (14 papers), Multimodal Machine Learning Applications (9 papers), Plant Diversity and Evolution (5 papers), Plant and Fungal Species Descriptions (4 papers), Advanced machining processes and optimization (3 papers), Building Energy and Comfort Optimization (3 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Artificial Intelligence (314 citations), Industrial and Manufacturing Engineering (57 citations), Computer Vision and Pattern Recognition (107 citations), Health Informatics (6 citations) and Human-Computer Interaction (21 citations). Yiming Cui has collaborated with scholars based in China, Hong Kong and Austria. Frequent co-authors include Ting Liu, Shijin Wang, Wanxiang Che, Kuo Liu, Wei Han, Yongqing Wang, Dong Wang, Ting Liu, Haoyu Song and Xiangzhan Yu. Their work appears in journals such as Energy and Buildings, ACM Transactions on Information Systems, The International Journal of Advanced Manufacturing Technology, Frontiers in Psychology and Language Resources and Evaluation.
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.