Cheng Li-zhi
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Numerical Analysis top 5%
- Pharmacology
- Co-authors
- Yong‐Ming YanXiangke LiaoShengguo LiYong‐Xian ChengBaohua LiuShumei WangFu‐Ying QinQi Luo
- Topics
- Image and Signal Denoising Methods (6 papers)Advanced Image Fusion Techniques (5 papers)Advanced Data Compression Techniques (5 papers)
In The Last Decade
Cheng Li-zhi
43 papers receiving 536 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 149
- Computer Vision and Pattern Recognition 117
- Plant Science 97
- Numerical Analysis 92
- Pharmacology 85
Countries citing papers authored by Cheng Li-zhi
This map shows the geographic impact of Cheng Li-zhi'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 Cheng Li-zhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Li-zhi more than expected).
Fields of papers citing papers by Cheng Li-zhi
This network shows the impact of papers produced by Cheng Li-zhi. 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 Cheng Li-zhi. The network helps show where Cheng Li-zhi may publish in the future.
Co-authorship network of co-authors of Cheng Li-zhi
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Li-zhi. A scholar is included among the top collaborators of Cheng Li-zhi 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 Cheng Li-zhi. Cheng Li-zhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 14 | |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 19 | |
| 9 | 34 | |
| 10 | 28 | |
| 11 | Double sparse image representation via learning dictionaries in wavelet domain | 1 |
| 12 | Fuzzy piecewise smooth image segmentation model and a fast algorithm | 1 |
| 13 | 3 | |
| 14 | Asymmetric watermarking based on Contourlet transform and subspace projection | 1 |
| 15 | Lossless watermarking for digital elevation mode data | 1 |
| 16 | Edge detection based on adaptive ridgelet transform | 2 |
| 17 | Selection Method of Optimum Wavelet Base in Image Compression Based on Wavelet Transform | 0 |
| 18 | PREPARATION OF NANOMETER POWDER BY ELECTROHYDRODYNAMIC TECHNIQUE | 1 |
| 19 | STRUCTURAL STUDY OF NANOCRYSTALLINE Fe-Cu-Nb-Si-B ALLOYS BY MSSBAUER SPECTROSCOPY | 15 |
| 20 | MICROSTRUCTURE AND MAGNETIC PROPERTIES OF NANOCRYSTALLINE(Fe,Cu,Nb)_(77.5)Si_xB_(22.5-x) ALLOYS | 1 |
About Cheng Li-zhi
Cheng Li-zhi is a scholar working on Geriatrics and Gerontology, Media Technology and General Materials Science, having authored 47 papers that have together received 559 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Advanced Image Fusion Techniques (5 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Numerical Analysis (92 citations), Media Technology (69 citations) and Biochemistry (41 citations). Cheng Li-zhi has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Yong‐Ming Yan, Xiangke Liao, Shengguo Li, Yong‐Xian Cheng, Baohua Liu, Shumei Wang, Fu‐Ying Qin, Qi Luo, Huowang Chen and Yong‐Xian Cheng. Their work appears in journals such as Advanced Functional Materials, British Journal of Pharmacology and Molecules.
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.