Fangfang Gou

1.7k total citations
66 papers, 1.3k citations indexed

About

Fangfang Gou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fangfang Gou has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 31 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fangfang Gou's work include AI in cancer detection (35 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Advanced Neural Network Applications (22 papers). Fangfang Gou is often cited by papers focused on AI in cancer detection (35 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Advanced Neural Network Applications (22 papers). Fangfang Gou collaborates with scholars based in China, Australia and United States. Fangfang Gou's co-authors include Jia Wu, Zhehao Dai, Jun Zhu, Yanlin Tan, Feng Liu, Keke He, Limiao Li, Jun Liu, Yuxuan Guo and Jiahao Xia and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Fangfang Gou

61 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fangfang Gou China 25 705 613 589 199 182 66 1.3k
Bouchaib Cherradi Morocco 29 782 1.1× 413 0.7× 354 0.6× 227 1.1× 109 0.6× 121 1.7k
Fatma Taher United Arab Emirates 21 464 0.7× 483 0.8× 297 0.5× 130 0.7× 165 0.9× 110 1.3k
Azhar Imran Pakistan 21 447 0.6× 573 0.9× 310 0.5× 160 0.8× 177 1.0× 75 1.3k
Chaosheng Tang China 15 389 0.6× 239 0.4× 286 0.5× 215 1.1× 128 0.7× 55 1.1k
Veronika Cheplygina Netherlands 14 593 0.8× 381 0.6× 464 0.8× 60 0.3× 34 0.2× 24 1.3k
Zhongyi Han China 14 928 1.3× 644 1.1× 536 0.9× 111 0.6× 23 0.1× 42 1.3k
Heba Mohsen Egypt 14 568 0.8× 358 0.6× 849 1.4× 961 4.8× 90 0.5× 39 1.5k
Maha Sharkas Egypt 17 636 0.9× 523 0.9× 318 0.5× 168 0.8× 35 0.2× 40 1.1k
Fábio Alexandre Spanhol Brazil 8 2.0k 2.8× 1.4k 2.3× 1.2k 2.0× 315 1.6× 53 0.3× 16 2.3k

Countries citing papers authored by Fangfang Gou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Zhang, Lifan, et al.. (2025). FFBFormer: Integrating Multi-Scale Transformer Networks for Glioma Diagnosis in Decision-Making System. Biomedical Signal Processing and Control. 113. 108969–108969.
3.
Wu, Jia, et al.. (2025). Opportunistic routing for mobile edge computing: A community detected and task priority aware approach. Computer Networks. 258. 111000–111000. 6 indexed citations
4.
Lu, Yingqing, Jing Zhou, Fangfang Gou, & Jia Wu. (2025). Tumor Auxiliary Prediction Strategy Based on Multiscale Feature Fusion in Medical Decision‐Making System. Advanced Intelligent Systems. 7(12). 2 indexed citations
5.
6.
He, Keke, et al.. (2024). Asymptotic multilayer pooled transformer based strategy for medical assistance in developing countries. Computers & Electrical Engineering. 119. 109493–109493. 7 indexed citations
7.
Wu, Jia, et al.. (2024). FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks. IEEE Internet of Things Journal. 11(11). 19520–19536. 13 indexed citations
8.
Gou, Fangfang, et al.. (2024). Research on Artificial-Intelligence-Assisted Medicine: A Survey on Medical Artificial Intelligence. Diagnostics. 14(14). 1472–1472. 35 indexed citations
9.
He, Keke, Jun Zhu, Limiao Li, Fangfang Gou, & Jia Wu. (2024). FASNet: Feature alignment-based method with digital pathology images in assisted diagnosis medical system. Heliyon. 10(22). e40350–e40350. 5 indexed citations
10.
Gou, Fangfang, et al.. (2023). Medical assisted-segmentation system based on global feature and stepwise feature integration for feature loss problem. Biomedical Signal Processing and Control. 89. 105814–105814. 22 indexed citations
11.
Liu, Feng, et al.. (2023). Artificial Intelligence-Aided Diagnosis Solution by Enhancing the Edge Features of Medical Images. Diagnostics. 13(6). 1063–1063. 23 indexed citations
12.
Liu, Jun, et al.. (2023). An Innovative Solution Based on TSCA-ViT for Osteosarcoma Diagnosis in Resource-Limited Settings. Biomedicines. 11(10). 2740–2740. 10 indexed citations
13.
Huang, Juan, Fangfang Gou, & Jia Wu. (2023). An effective data communication community establishment scheme in opportunistic networks. IET Communications. 17(12). 1354–1367. 6 indexed citations
14.
He, Keke, et al.. (2023). A Novel Medical Decision-Making System Based on Multi-Scale Feature Enhancement for Small Samples. Mathematics. 11(9). 2116–2116. 13 indexed citations
15.
He, Keke, Fangfang Gou, & Jia Wu. (2023). Image segmentation technology based on transformer in medical decision‐making system. IET Image Processing. 17(10). 3040–3054. 22 indexed citations
16.
Wu, Jia, et al.. (2022). Disease Control and Prevention in Rare Plants Based on the Dominant Population Selection Method in Opportunistic Social Networks. Computational Intelligence and Neuroscience. 2022. 1–16. 26 indexed citations
17.
Li, Limiao, et al.. (2022). Effective Data Optimization and Evaluation Based on Social Communication with AI‐Assisted in Opportunistic Social Networks. Wireless Communications and Mobile Computing. 2022(1). 20 indexed citations
18.
Gou, Fangfang, et al.. (2022). A Cascaded Multi-Stage Framework for Automatic Detection and Segmentation of Pulmonary Nodules in Developing Countries. IEEE Journal of Biomedical and Health Informatics. 26(11). 5619–5630. 53 indexed citations
19.
Liu, Feng, Jun Zhu, Lei Yang, et al.. (2022). Auxiliary Segmentation Method of Osteosarcoma MRI Image Based on Transformer and U-Net. Computational Intelligence and Neuroscience. 2022. 1–16. 27 indexed citations
20.
Liu, Feng, et al.. (2022). Multi-Scale Tumor Localization Based on Priori Guidance-Based Segmentation Method for Osteosarcoma MRI Images. Mathematics. 10(12). 2099–2099. 25 indexed citations

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.

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