Zhong-Qiu Wang
- Signal Processing top 0.2%
- Artificial Intelligence top 1%
- Computational Mechanics top 2%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering
- Co-authors
- DeLiang WangJonathan Le RouxJohn R. HersheyPeidong WangShinji WatanabeXueliang ZhangYan ZhaoKe Tan
- Topics
- Speech and Audio Processing (54 papers)Music and Audio Processing (39 papers)Speech Recognition and Synthesis (32 papers)
- Journals
- Neural NetworksThe International Journal of Advanced Manufacturing TechnologyIEEE Signal Processing Letters
- Partner nations
- United StatesChinaJapan
In The Last Decade
Zhong-Qiu Wang
64 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Signal Processing 1.9k
- Artificial Intelligence 1.2k
- Computational Mechanics 596
- Cognitive Neuroscience 270
- Electrical and Electronic Engineering 100
Countries citing papers authored by Zhong-Qiu Wang
This map shows the geographic impact of Zhong-Qiu 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 Zhong-Qiu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong-Qiu Wang more than expected).
Fields of papers citing papers by Zhong-Qiu Wang
This network shows the impact of papers produced by Zhong-Qiu 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 Zhong-Qiu Wang. The network helps show where Zhong-Qiu Wang may publish in the future.
Co-authorship network of co-authors of Zhong-Qiu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhong-Qiu Wang. A scholar is included among the top collaborators of Zhong-Qiu 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 Zhong-Qiu Wang. Zhong-Qiu 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 31 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 26 | |
| 14 | 111 | |
| 15 | 17 | |
| 16 | 18 | |
| 17 | 58 | |
| 18 | 59 | |
| 19 | 46 | |
| 20 | 79 |
About Zhong-Qiu Wang
Zhong-Qiu Wang is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (54 papers), Music and Audio Processing (39 papers) and Speech Recognition and Synthesis (32 papers). The work is most often cited by research in Signal Processing (1.9k citations), Artificial Intelligence (1.2k citations) and Computational Mechanics (596 citations). Zhong-Qiu Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include DeLiang Wang, Jonathan Le Roux, John R. Hershey, Peidong Wang, Shinji Watanabe, Xueliang Zhang, Yan Zhao, Ke Tan, Ivan Tashev and Samuele Cornell. Their work appears in journals such as Neural Networks, The International Journal of Advanced Manufacturing Technology and IEEE Signal Processing Letters.
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.