Yonghui Dai
Impact in
-
- Emotion and Mood Recognition
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
Papers in
-
- Sentiment Analysis and Opinion Mining 5
-
- Recommender Systems and Techniques 4
- Blockchain Technology Applications and Security 4
- Cloud Computing and Resource Management 3
- Co-authors
- Weihui Dai (10 shared papers)Dongmei Han (9 shared papers)Dongrong Xu (2 shared papers)Tao Wang (2 shared papers)Bin Deng (1 shared paper)Yue Yu (1 shared paper)Haijian Chen (7 shared papers)Bo Jiang (1 shared paper)
- Journals
- International Journal of Embedded Systems (4 papers)Computational Intelligence and Neuroscience (3 papers)Connection Science (2 papers)Sustainability (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yonghui Dai
41 papers receiving 306 citations
Peers
Comparison fields: 5 of 85
- Experimental and Cognitive Psychology 57
- Artificial Intelligence 115
- Computer Science Applications 19
- Signal Processing 33
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Yonghui Dai
This map shows the geographic impact of Yonghui Dai'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 Yonghui Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonghui Dai more than expected).
Fields of papers citing papers by Yonghui Dai
This network shows the impact of papers produced by Yonghui Dai. 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 Yonghui Dai. The network helps show where Yonghui Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yonghui Dai, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 87 | |
| 2 | 2010 | 32 | |
| 3 | 2021 | 16 | |
| 4 | 2014 | 16 | |
| 5 | 2015 | 12 | |
| 6 | 2017 | 12 | |
| 7 | 2019 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2014 | 8 | |
| 10 | 2015 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2021 | 4 |
About Yonghui Dai
Yonghui Dai is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 324 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (5 papers), Digital Marketing and Social Media (5 papers), Recommender Systems and Techniques (4 papers), Online Learning and Analytics (4 papers), Blockchain Technology Applications and Security (4 papers), Cloud Computing and Resource Management (3 papers), Advanced Computing and Algorithms (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (57 citations), Artificial Intelligence (115 citations), Computer Science Applications (19 citations), Signal Processing (33 citations) and Computer Vision and Pattern Recognition (62 citations). Yonghui Dai has collaborated with scholars based in China and United States. Frequent co-authors include Weihui Dai, Dongmei Han, Dongrong Xu, Tao Wang, Bin Deng, Yue Yu, Haijian Chen, Bo Jiang, Jun Ji and Peng Jiang. Their work appears in journals such as International Journal of Embedded Systems, Computational Intelligence and Neuroscience, Connection Science, Sustainability and Frontiers in Endocrinology.
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.