Ziliang Ping
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Artificial Intelligence
- Signal Processing
- Biomedical Engineering
- Co-authors
- Yunlong ShengHaiping RenWurigen BoSurong HasiHonggang ZhangSuhua ZhouWen-Qin WangGuixian Xu
- Topics
- Image Retrieval and Classification Techniques (13 papers)Advanced Image and Video Retrieval Techniques (8 papers)Image and Signal Denoising Methods (7 papers)
In The Last Decade
Ziliang Ping
26 papers receiving 430 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 423
- Media Technology 125
- Artificial Intelligence 22
- Signal Processing 17
- Biomedical Engineering 12
Countries citing papers authored by Ziliang Ping
This map shows the geographic impact of Ziliang Ping'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 Ziliang Ping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziliang Ping more than expected).
Fields of papers citing papers by Ziliang Ping
This network shows the impact of papers produced by Ziliang Ping. 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 Ziliang Ping. The network helps show where Ziliang Ping may publish in the future.
Co-authorship network of co-authors of Ziliang Ping
This figure shows the co-authorship network connecting the top 25 collaborators of Ziliang Ping. A scholar is included among the top collaborators of Ziliang Ping 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 Ziliang Ping. Ziliang Ping is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | Decompose and Reconstruct Images Based on Exponential-Fourier Moments | 6 |
| 9 | 6 | |
| 10 | Medical image enhancement based on window empirical mode decomposition algorithm | 2 |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | A Algorithm for Color Cellular Image Background Subtraction in HIS Color Space | 1 |
| 15 | 9 | |
| 16 | 82 | |
| 17 | 33 | |
| 18 | 98 | |
| 19 | 10 | |
| 20 | 131 |
About Ziliang Ping
Ziliang Ping is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering, having authored 27 papers that have together received 458 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (13 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (423 citations), Media Technology (125 citations) and Acoustics and Ultrasonics (2 citations). Ziliang Ping has collaborated with scholars based in China, Canada and Denmark. Frequent co-authors include Yunlong Sheng, Haiping Ren, Wurigen Bo, Surong Hasi, Honggang Zhang, Suhua Zhou, Wen-Qin Wang, Guixian Xu, Jiayi Liu and Haitao Hu. Their work appears in journals such as IEEE Access, Pattern Recognition and Journal of the Optical Society of America A.
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.