Changbo Hou
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Artificial Intelligence top 5%
- Wireless Signal Modulation Classification
Papers in
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- Wireless Signal Modulation Classification 17
-
- Advanced Fiber Optic Sensors 12
- Co-authors
- Zhiyu Qu (7 shared papers)Shiwen Mao (2 shared papers)Yun Lin (4 shared papers)Ya Tu (1 shared paper)Guowei Liu (6 shared papers)Qiao Tian (2 shared papers)Weijian Si (12 shared papers)Libo Yuan (8 shared papers)
- Journals
- IEEE Access (5 papers)Sensors (5 papers)Wireless Communications and Mobile Computing (3 papers)IEEE Internet of Things Journal (3 papers)Optics Express (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Changbo Hou
55 papers receiving 977 citations
Peers
Comparison fields: 5 of 89
- Signal Processing 163
- Artificial Intelligence 458
- Aerospace Engineering 278
- Electrical and Electronic Engineering 341
- Computer Vision and Pattern Recognition 120
Countries citing papers authored by Changbo Hou
This map shows the geographic impact of Changbo Hou'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 Changbo Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changbo Hou more than expected).
Fields of papers citing papers by Changbo Hou
This network shows the impact of papers produced by Changbo Hou. 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 Changbo Hou. The network helps show where Changbo Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Changbo Hou, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 199 | |
| 2 | 2022 | 121 | |
| 3 | 2019 | 81 | |
| 4 | 2020 | 77 | |
| 5 | 2019 | 53 | |
| 6 | 2008 | 50 | |
| 7 | 2023 | 37 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 30 | |
| 10 | 2019 | 25 | |
| 11 | 2021 | 23 | |
| 12 | 2011 | 23 | |
| 13 | 2012 | 22 | |
| 14 | 2020 | 19 | |
| 15 | 2022 | 18 | |
| 16 | 2018 | 15 | |
| 17 | 2020 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 11 | |
| 20 | 2018 | 11 |
About Changbo Hou
Changbo Hou is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering, Signal Processing and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (17 papers), Advanced Fiber Optic Sensors (12 papers), Speech and Audio Processing (8 papers), Direction-of-Arrival Estimation Techniques (7 papers), Radar Systems and Signal Processing (7 papers), Advanced SAR Imaging Techniques (6 papers), Machine Fault Diagnosis Techniques (5 papers) and Antenna Design and Optimization (5 papers). The work is most often cited by research in Signal Processing (163 citations), Artificial Intelligence (458 citations), Aerospace Engineering (278 citations), Electrical and Electronic Engineering (341 citations) and Computer Vision and Pattern Recognition (120 citations). Changbo Hou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhiyu Qu, Shiwen Mao, Yun Lin, Ya Tu, Guowei Liu, Yun Lin, Qiao Tian, Weijian Si, Libo Yuan and Xunbo Jin. Their work appears in journals such as IEEE Access, Sensors, Wireless Communications and Mobile Computing, IEEE Internet of Things Journal and Optics Express.
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.