Xia Mao
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Face and Expression Recognition 22
- Human Pose and Action Recognition 13
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- Speech Recognition and Synthesis 12
- Co-authors
- Lijiang Chen (12 shared papers)Jianfeng Zhao (3 shared papers)Lijiang Chen (36 shared papers)Yuli Xue (26 shared papers)Zheng Li (3 shared papers)L. L. Cheng (2 shared papers)Angelo Compare (8 shared papers)Suzhen Yuan (4 shared papers)
In The Last Decade
Xia Mao
115 papers receiving 2.3k citations
Xia Mao's Hit Papers
Peers
Comparison fields: 5 of 132
- Experimental and Cognitive Psychology 1.0k
- Signal Processing 843
- Computer Vision and Pattern Recognition 634
- Artificial Intelligence 794
- Pharmacy 68
Countries citing papers authored by Xia Mao
This map shows the geographic impact of Xia Mao'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 Xia Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Mao more than expected).
Fields of papers citing papers by Xia Mao
This network shows the impact of papers produced by Xia Mao. 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 Xia Mao. The network helps show where Xia Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Mao, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Speech emotion recognition using deep 1D & 2D CNN LSTM networks Hit paper breakdown → | 2018 | 801 |
| 2 | 2012 | 186 | |
| 3 | 2018 | 106 | |
| 4 | 2014 | 101 | |
| 5 | 2010 | 65 | |
| 6 | 2009 | 60 | |
| 7 | 2018 | 58 | |
| 8 | 2017 | 50 | |
| 9 | 2017 | 50 | |
| 10 | 2009 | 39 | |
| 11 | 2009 | 38 | |
| 12 | 2021 | 37 | |
| 13 | 2013 | 35 | |
| 14 | 2008 | 32 | |
| 15 | 2014 | 28 | |
| 16 | 2006 | 27 | |
| 17 | 2017 | 27 | |
| 18 | 2009 | 24 | |
| 19 | 2014 | 23 | |
| 20 | 2008 | 23 |
About Xia Mao
Xia Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing and Social Psychology, having authored 120 papers that have together received 2.4k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (28 papers), Face and Expression Recognition (22 papers), Speech and Audio Processing (17 papers), Social Robot Interaction and HRI (14 papers), Human Pose and Action Recognition (13 papers), Infrared Target Detection Methodologies (13 papers), Speech Recognition and Synthesis (12 papers) and Advanced Measurement and Detection Methods (11 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.0k citations), Signal Processing (843 citations), Computer Vision and Pattern Recognition (634 citations), Artificial Intelligence (794 citations) and Pharmacy (68 citations). Xia Mao has collaborated with scholars based in China, Italy and Japan. Frequent co-authors include Lijiang Chen, Jianfeng Zhao, Lijiang Chen, Yuli Xue, Zheng Li, L. L. Cheng, Angelo Compare, Suzhen Yuan, Qingxu Xiong and Kang Huang. Their work appears in journals such as Multimedia Tools and Applications, Optik, The Science of The Total Environment, Neurocomputing and Electromagnetic waves.
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.