Peixiang Zhong
- Experimental and Cognitive Psychology top 2%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Chunyan MiaoDi WangChen ZhangYong LiuHao WangPengfei LiKezhi MaoSimon See
- Topics
- Topic Modeling (8 papers)Sentiment Analysis and Opinion Mining (5 papers)Advanced Text Analysis Techniques (3 papers)
- Journals
- IEEE Transactions on Affective ComputingDR-NTU (Nanyang Technological University)Proceedings of the AAAI Conference on Artificial Intelligence
In The Last Decade
Peixiang Zhong
11 papers receiving 910 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Experimental and Cognitive Psychology 492
- Cognitive Neuroscience 465
- Artificial Intelligence 427
- Human-Computer Interaction 106
- Computer Vision and Pattern Recognition 100
Countries citing papers authored by Peixiang Zhong
This map shows the geographic impact of Peixiang Zhong'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 Peixiang Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peixiang Zhong more than expected).
Fields of papers citing papers by Peixiang Zhong
This network shows the impact of papers produced by Peixiang Zhong. 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 Peixiang Zhong. The network helps show where Peixiang Zhong may publish in the future.
Co-authorship network of co-authors of Peixiang Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Peixiang Zhong. A scholar is included among the top collaborators of Peixiang Zhong 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 Peixiang Zhong. Peixiang Zhong 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 | 11 | |
| 3 | 22 | |
| 4 | 24 | |
| 5 | 28 | |
| 6 | 61 | |
| 7 | EEG-Based Emotion Recognition Using Regularized Graph Neural Networksbreakdown → | 540 |
| 8 | 4 | |
| 9 | 187 | |
| 10 | 44 | |
| 11 | 9 | |
| 12 | 4 |
About Peixiang Zhong
Peixiang Zhong is a scholar working on Artificial Intelligence, Applied Psychology and Human-Computer Interaction, having authored 12 papers that have together received 934 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Sentiment Analysis and Opinion Mining (5 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (492 citations), Cognitive Neuroscience (465 citations) and Human-Computer Interaction (106 citations). Peixiang Zhong has collaborated with scholars based in Singapore, Canada and China. Frequent co-authors include Chunyan Miao, Di Wang, Di Wang, Chen Zhang, Yong Liu, Hao Wang, Pengfei Li, Hao Wang, Kezhi Mao and Simon See. Their work appears in journals such as IEEE Transactions on Affective Computing, DR-NTU (Nanyang Technological University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.