Xiaoming Zhao
- Experimental and Cognitive Psychology top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Cognitive Neuroscience top 10%
- Co-authors
- Shiqing ZhangQi TianXingnan ZhangYueli CuiWenping GuoJun YuChen ChenQingming Leng
- Topics
- Emotion and Mood Recognition (26 papers)Face and Expression Recognition (21 papers)Speech and Audio Processing (12 papers)
In The Last Decade
Xiaoming Zhao
60 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Experimental and Cognitive Psychology 712
- Computer Vision and Pattern Recognition 598
- Artificial Intelligence 332
- Signal Processing 300
- Cognitive Neuroscience 112
Countries citing papers authored by Xiaoming Zhao
This map shows the geographic impact of Xiaoming Zhao'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 Xiaoming Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Zhao more than expected).
Fields of papers citing papers by Xiaoming Zhao
This network shows the impact of papers produced by Xiaoming Zhao. 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 Xiaoming Zhao. The network helps show where Xiaoming Zhao may publish in the future.
Co-authorship network of co-authors of Xiaoming Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Zhao. A scholar is included among the top collaborators of Xiaoming Zhao 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 Xiaoming Zhao. Xiaoming Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospectsbreakdown → | 99 |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 60 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 22 | |
| 15 | 20 | |
| 16 | 24 | |
| 17 | 1 | |
| 18 | Facial expression recognition based on local binary patterns and local fisher discriminant analysis | 38 |
| 19 | Design of Variable Fractional Delay Filters Based on PSO | 1 |
| 20 | The Design of Data Acquisition System Based on USB | 0 |
About Xiaoming Zhao
Xiaoming Zhao is a scholar working on Experimental and Cognitive Psychology, Signal Processing and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (26 papers), Face and Expression Recognition (21 papers) and Speech and Audio Processing (12 papers). The work is most often cited by research in Experimental and Cognitive Psychology (712 citations), Computer Vision and Pattern Recognition (598 citations) and Signal Processing (300 citations). Xiaoming Zhao has collaborated with scholars based in China, Australia and Sweden. Frequent co-authors include Shiqing Zhang, Qi Tian, Xingnan Zhang, Yueli Cui, Wenping Guo, Jun Yu, Chen Chen, Qingming Leng, Tao Xin and Jiangxiong Fang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.