Zhong Yin
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 1%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Social Psychology top 5%
- Co-authors
- Jianhua ZhangYongxiong WangStefano NichelePeng ChenMengyuan ZhaoJingdong YangRubin WangChuanfei Hu
- Topics
- EEG and Brain-Computer Interfaces (52 papers)Emotion and Mood Recognition (21 papers)Human-Automation Interaction and Safety (17 papers)
In The Last Decade
Zhong Yin
72 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cognitive Neuroscience 1.3k
- Experimental and Cognitive Psychology 1.1k
- Computer Vision and Pattern Recognition 341
- Artificial Intelligence 338
- Social Psychology 331
Countries citing papers authored by Zhong Yin
This map shows the geographic impact of Zhong Yin'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 Zhong Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong Yin more than expected).
Fields of papers citing papers by Zhong Yin
This network shows the impact of papers produced by Zhong Yin. 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 Zhong Yin. The network helps show where Zhong Yin may publish in the future.
Co-authorship network of co-authors of Zhong Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Yin. A scholar is included among the top collaborators of Zhong Yin 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 Zhong Yin. Zhong Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 55 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 50 | |
| 12 | 128 | |
| 13 | 282 | |
| 14 | Researches on Complex Three-Dimensional Point Cloud Model Automatic Registration Technology | 0 |
| 15 | Automatic Registration Technology of Point Cloud Based on Improved ICP Algorithm | 4 |
| 16 | 44 | |
| 17 | Instantaneous mental workload level recognition by combining kernel fisher discriminant analysis and Kernel Principal Component Analysis | 3 |
| 18 | Recursive feature elimination and least square support vector machine approaches to operator functional state feature selection and classification | 1 |
| 19 | Support vector machine approaches to classifying operator functional state in human-machine system | 2 |
| 20 | Developed cepstrum method for data extraction based on echo hiding | 1 |
About Zhong Yin
Zhong Yin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (52 papers), Emotion and Mood Recognition (21 papers) and Human-Automation Interaction and Safety (17 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.1k citations), Cognitive Neuroscience (1.3k citations) and Human-Computer Interaction (267 citations). Zhong Yin has collaborated with scholars based in China, Norway and Chile. Frequent co-authors include Jianhua Zhang, Yongxiong Wang, Stefano Nichele, Peng Chen, Mengyuan Zhao, Jingdong Yang, Rubin Wang, Chuanfei Hu, Wei Zhang and Yu Song. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Sustainability.
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.