Xuehan Wang
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Tong ZhangC. L. Philip ChenXiangmin XuGongping HuangJingdong ChenIsrael CohenJacob BenestyEnhong Chen
- Topics
- Speech and Audio Processing (4 papers)Advanced Adaptive Filtering Techniques (4 papers)Acoustic Wave Phenomena Research (3 papers)
- Journals
- IEEE Transactions on Affective ComputingIEEE/ACM Transactions on Audio Speech and Language ProcessingICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
In The Last Decade
Xuehan Wang
8 papers receiving 403 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 159
- Experimental and Cognitive Psychology 131
- Artificial Intelligence 97
- Signal Processing 77
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Xuehan Wang
This map shows the geographic impact of Xuehan Wang'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 Xuehan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuehan Wang more than expected).
Fields of papers citing papers by Xuehan Wang
This network shows the impact of papers produced by Xuehan Wang. 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 Xuehan Wang. The network helps show where Xuehan Wang may publish in the future.
Co-authorship network of co-authors of Xuehan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xuehan Wang. A scholar is included among the top collaborators of Xuehan Wang 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 Xuehan Wang. Xuehan Wang 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 | 3 | |
| 3 | 15 | |
| 4 | 5 | |
| 5 | 46 | |
| 6 | GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognitionbreakdown → | 301 |
| 7 | 31 | |
| 8 | 1 |
About Xuehan Wang
Xuehan Wang is a scholar working on Signal Processing, Computational Mechanics and Urban Studies, having authored 8 papers that have together received 405 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Advanced Adaptive Filtering Techniques (4 papers) and Acoustic Wave Phenomena Research (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (131 citations), Cognitive Neuroscience (159 citations) and Signal Processing (77 citations). Xuehan Wang has collaborated with scholars based in China, Canada and Israel. Frequent co-authors include Tong Zhang, C. L. Philip Chen, Xiangmin Xu, Gongping Huang, Jingdong Chen, Israel Cohen, Jacob Benesty, Enhong Chen, Xiaofen Xing and Zhulin Liu. Their work appears in journals such as IEEE Transactions on Affective Computing, IEEE/ACM Transactions on Audio Speech and Language Processing and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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.