Fangfang Gou
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Neurology top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Jia WuZhehao DaiJun ZhuYanlin TanFeng LiuKeke HeLimiao LiJun Liu
- Topics
- AI in cancer detection (35 papers)Radiomics and Machine Learning in Medical Imaging (30 papers)Advanced Neural Network Applications (22 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Fangfang Gou
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 705
- Radiology, Nuclear Medicine and Imaging 613
- Computer Vision and Pattern Recognition 589
- Neurology 199
- Computer Networks and Communications 182
Countries citing papers authored by Fangfang Gou
This map shows the geographic impact of Fangfang Gou'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 Fangfang Gou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangfang Gou more than expected).
Fields of papers citing papers by Fangfang Gou
This network shows the impact of papers produced by Fangfang Gou. 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 Fangfang Gou. The network helps show where Fangfang Gou may publish in the future.
Co-authorship network of co-authors of Fangfang Gou
This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Gou. A scholar is included among the top collaborators of Fangfang Gou 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 Fangfang Gou. Fangfang Gou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 35 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | 6 | |
| 14 | 22 | |
| 15 | 13 | |
| 16 | 10 | |
| 17 | 22 | |
| 18 | 20 | |
| 19 | 26 | |
| 20 | 53 |
About Fangfang Gou
Fangfang Gou is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (35 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Advanced Neural Network Applications (22 papers). The work is most often cited by research in Health Informatics (64 citations), Computer Vision and Pattern Recognition (589 citations) and Radiology, Nuclear Medicine and Imaging (613 citations). Fangfang Gou has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jia Wu, Zhehao Dai, Jun Zhu, Yanlin Tan, Feng Liu, Keke He, Limiao Li, Jun Liu, Yuxuan Guo and Jiahao Xia. Their work appears in journals such as Scientific Reports, Sensors and IEEE Internet of Things Journal.
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.