Hua Qu
Impact in
- Signal Processing top 1%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Computational Mechanics top 2%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Blind Source Separation Techniques 22
- Speech and Audio Processing 20
-
- Software-Defined Networks and 5G 13
- Wireless Communication Networks Research 9
- Cooperative Communication and Network Coding 9
- Journals
- Electronics Letters (5 papers)China Communications (4 papers)Diabetes (3 papers)IEEE Access (3 papers)Wireless Personal Communications (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hua Qu
153 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 157
- Signal Processing 464
- Computational Mechanics 541
- Physiology 429
- Computer Networks and Communications 357
- Endocrinology, Diabetes and Metabolism 262
Countries citing papers authored by Hua Qu
This map shows the geographic impact of Hua Qu'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 Hua Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Qu more than expected).
Fields of papers citing papers by Hua Qu
This network shows the impact of papers produced by Hua Qu. 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 Hua Qu. The network helps show where Hua Qu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hua Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 7 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 0 | |
| 9 | 2019 | 3 | |
| 10 | 2019 | 18 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 44 | |
| 15 | 2017 | 30 | |
| 16 | 2016 | 23 | |
| 17 | 2014 | 1 | |
| 18 | 2014 | 0 | |
| 19 | The relationship between siting and watching television time and impaired glucose regulation, type 2 diabetes mellitus in Chongqing. | 2013 | 1 |
| 20 | Research of LDPC Decoding Based on Modified LLR BP Algorithm | 2009 | 2 |
About Hua Qu
Hua Qu is a scholar working on Signal Processing, Computer Networks and Communications, Computational Mechanics, Endocrinology, Diabetes and Metabolism and Electrical and Electronic Engineering, having authored 159 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (29 papers), Blind Source Separation Techniques (22 papers), Speech and Audio Processing (20 papers), Advanced MIMO Systems Optimization (17 papers), Software-Defined Networks and 5G (13 papers), Wireless Communication Networks Research (9 papers), Satellite Communication Systems (9 papers) and Cooperative Communication and Network Coding (9 papers). The work is most often cited by research in Signal Processing (464 citations), Computational Mechanics (541 citations), Physiology (429 citations), Computer Networks and Communications (357 citations) and Endocrinology, Diabetes and Metabolism (262 citations). Hua Qu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jihong Zhao, Badong Chen, Huacong Deng, Xi Liu, Hang Wang, Hongting Zheng, Pengcheng Yue, Wentao Ma, Huili Wei and Yi Zheng. Their work appears in journals such as Electronics Letters, China Communications, Diabetes, IEEE Access and Wireless Personal Communications.
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.