Fangneng Zhan
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics top 10%
- Media Technology top 5%
- Co-authors
- Shijian LuYingchen YuRongliang WuJiahui ZhangChanggong ZhangXuansong XieFeiying MaChunyan Miao
- Topics
- Generative Adversarial Networks and Image Synthesis (15 papers)Advanced Vision and Imaging (10 papers)Computer Graphics and Visualization Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
In The Last Decade
Fangneng Zhan
28 papers receiving 914 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 787
- Artificial Intelligence 170
- Computer Graphics and Computer-Aided Design 126
- Computational Mechanics 92
- Media Technology 91
Countries citing papers authored by Fangneng Zhan
This map shows the geographic impact of Fangneng Zhan'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 Fangneng Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangneng Zhan more than expected).
Fields of papers citing papers by Fangneng Zhan
This network shows the impact of papers produced by Fangneng Zhan. 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 Fangneng Zhan. The network helps show where Fangneng Zhan may publish in the future.
Co-authorship network of co-authors of Fangneng Zhan
This figure shows the co-authorship network connecting the top 25 collaborators of Fangneng Zhan. A scholar is included among the top collaborators of Fangneng Zhan 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 Fangneng Zhan. Fangneng Zhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 28 | |
| 3 | 8 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 61 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 28 | |
| 10 | 31 | |
| 11 | 19 | |
| 12 | 25 | |
| 13 | 38 | |
| 14 | 13 | |
| 15 | 11 | |
| 16 | 26 | |
| 17 | 93 | |
| 18 | 65 | |
| 19 | 168 | |
| 20 | 53 |
About Fangneng Zhan
Fangneng Zhan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 29 papers that have together received 941 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (15 papers), Advanced Vision and Imaging (10 papers) and Computer Graphics and Visualization Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (787 citations), Computer Graphics and Computer-Aided Design (126 citations) and Media Technology (91 citations). Fangneng Zhan has collaborated with scholars based in Singapore, Germany and China. Frequent co-authors include Shijian Lu, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Changgong Zhang, Xuansong Xie, Feiying Ma, Chunyan Miao, Jianxiong Pan and Kaiwen Cui. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.
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.