Ziyan Wang
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Plant Science
- Aerospace Engineering
- Topics
- Advanced Vision and Imaging (5 papers)Image Enhancement Techniques (4 papers)Advanced Image Fusion Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignAnalytical Chemistry
- Journals
- Scientific ReportsExpert Systems with ApplicationsInternational Journal of Biological Macromolecules
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ziyan Wang
20 papers receiving 181 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 98
- Artificial Intelligence 38
- Radiology, Nuclear Medicine and Imaging 26
- Plant Science 24
- Aerospace Engineering 21
Countries citing papers authored by Ziyan Wang
This map shows the geographic impact of Ziyan Wang'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 Ziyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziyan Wang more than expected).
Fields of papers citing papers by Ziyan Wang
This network shows the impact of papers produced by Ziyan Wang. 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 Ziyan Wang. The network helps show where Ziyan Wang may publish in the future.
Co-authorship network of co-authors of Ziyan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ziyan Wang. A scholar is included among the top collaborators of Ziyan Wang 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 Ziyan Wang. Ziyan Wang 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 33 | |
| 13 | 29 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 24 | |
| 19 | Recognition of tea disease spot based on hyperspectral image and genetic optimization neural network. | 11 |
| 20 | [Regulation of Vitreoscilla hemoglobin on biosynthesis of astragaloside IV]. | 2 |
About Ziyan Wang
Ziyan Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 26 papers that have together received 186 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Image Enhancement Techniques (4 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (98 citations), Computer Graphics and Computer-Aided Design (13 citations) and Analytical Chemistry (18 citations). Ziyan Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Nanyan Shen, Samuel Schulter, Buyu Liu, Manmohan Chandraker, Wei Lü, Jing Li, Lanyun Feng, Na Yao, Jun Luo and Guoliang Li. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and International Journal of Biological Macromolecules.
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.