Xiaofan Feng
- Computer Vision and Pattern Recognition top 5%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Media Technology top 5%
- Social Psychology
- Co-authors
- Scott DalyHao PanXiaohua ZhaoIbrahim SezanNanping DengJohn R. SchottJoanne Ee Mei TeohJia An
- Topics
- Color Science and Applications (20 papers)Advanced Battery Materials and Technologies (10 papers)Advancements in Battery Materials (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaACS NanoAdvanced Functional Materials
- Partner nations
- ChinaUnited StatesChile
In The Last Decade
Xiaofan Feng
53 papers receiving 512 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 250
- Atomic and Molecular Physics, and Optics 122
- Electrical and Electronic Engineering 115
- Media Technology 97
- Social Psychology 63
Countries citing papers authored by Xiaofan Feng
This map shows the geographic impact of Xiaofan Feng'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 Xiaofan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofan Feng more than expected).
Fields of papers citing papers by Xiaofan Feng
This network shows the impact of papers produced by Xiaofan Feng. 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 Xiaofan Feng. The network helps show where Xiaofan Feng may publish in the future.
Co-authorship network of co-authors of Xiaofan Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofan Feng. A scholar is included among the top collaborators of Xiaofan Feng 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 Xiaofan Feng. Xiaofan Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 25 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | Automatic JPEG Compression Using a Color Visual Model. | 2 |
| 18 | Halftone Quality Evaluation Using Color Visual Models. | 2 |
| 19 | The Development of A Color Visual Difference Model (CVDM). | 14 |
| 20 | 21 |
About Xiaofan Feng
Xiaofan Feng is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Atomic and Molecular Physics, and Optics, having authored 59 papers that have together received 570 indexed citations. Recurring topics across this work include Color Science and Applications (20 papers), Advanced Battery Materials and Technologies (10 papers) and Advancements in Battery Materials (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (250 citations), Media Technology (97 citations) and Computer Graphics and Computer-Aided Design (26 citations). Xiaofan Feng has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Scott Daly, Hao Pan, Xiaohua Zhao, Ibrahim Sezan, Nanping Deng, John R. Schott, Joanne Ee Mei Teoh, Jia An, Yue Zhao and Chee Kai Chua. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Advanced Functional Materials.
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.