Heping Song
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
-
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Face and Expression Recognition 9
- Advanced Image and Video Retrieval Techniques 5
-
- Text and Document Classification Technologies 5
- Bayesian Methods and Mixture Models 4
- Co-authors
- Qirong Mao (11 shared papers)Hongjie Jia (7 shared papers)Liangjun Wang (5 shared papers)Jianming Zhang (1 shared paper)Chao Qi (1 shared paper)Guoli Wang (3 shared papers)Guoli Wang (2 shared papers)Dongxia Zhu (1 shared paper)
- Journals
- IEEE Access (3 papers)International Journal of Intelligent Systems (3 papers)Applied Sciences (2 papers)Expert Systems with Applications (2 papers)Neural Networks (2 papers)
- Partner nations
- ChinaUnited KingdomGhana
In The Last Decade
Heping Song
37 papers receiving 244 citations
Peers
Comparison fields: 5 of 60
- Signal Processing 60
- Computer Vision and Pattern Recognition 109
- Computational Mathematics 3
- Artificial Intelligence 120
- Software 13
Countries citing papers authored by Heping Song
This map shows the geographic impact of Heping Song'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 Heping Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heping Song more than expected).
Fields of papers citing papers by Heping Song
This network shows the impact of papers produced by Heping Song. 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 Heping Song. The network helps show where Heping Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Heping Song, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 43 | |
| 2 | 2020 | 24 | |
| 3 | 2023 | 22 | |
| 4 | 2019 | 18 | |
| 5 | 2023 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2011 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2012 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2011 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2012 | 3 |
About Heping Song
Heping Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Signal Processing and Computational Mechanics, having authored 43 papers that have together received 252 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Sparse and Compressive Sensing Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Text and Document Classification Technologies (5 papers), Remote-Sensing Image Classification (4 papers), Bayesian Methods and Mixture Models (4 papers) and Microwave Imaging and Scattering Analysis (4 papers). The work is most often cited by research in Signal Processing (60 citations), Computer Vision and Pattern Recognition (109 citations), Computational Mathematics (3 citations), Artificial Intelligence (120 citations) and Software (13 citations). Heping Song has collaborated with scholars based in China, United Kingdom and Ghana. Frequent co-authors include Qirong Mao, Hongjie Jia, Liangjun Wang, Jianming Zhang, Chao Qi, Guoli Wang, Guoli Wang, Dongxia Zhu, Jun Liu and Jianping Gou. Their work appears in journals such as IEEE Access, International Journal of Intelligent Systems, Applied Sciences, Expert Systems with Applications and Neural Networks.
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.