Fabao Xu

801 total citations
43 papers, 505 citations indexed

About

Fabao Xu is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine. According to data from OpenAlex, Fabao Xu has authored 43 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Ophthalmology, 31 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Complementary and alternative medicine. Recurrent topics in Fabao Xu's work include Retinal Diseases and Treatments (34 papers), Retinal Imaging and Analysis (27 papers) and Glaucoma and retinal disorders (20 papers). Fabao Xu is often cited by papers focused on Retinal Diseases and Treatments (34 papers), Retinal Imaging and Analysis (27 papers) and Glaucoma and retinal disorders (20 papers). Fabao Xu collaborates with scholars based in China, United States and Singapore. Fabao Xu's co-authors include Chenjin Jin, Kunbei Lai, Chuangxin Huang, Haotian Lin, Lanqin Zhao, Duoru Lin, Chong Guo, Chuan Chen, Yi Zhu and Danyao Nie and has published in prestigious journals such as Scientific Reports, Ophthalmology and British Journal of Ophthalmology.

In The Last Decade

Fabao Xu

40 papers receiving 494 citations

Peers

Fabao Xu
Daniel Ferraz Brazil
Weihong Yu China
Sunee Chansangpetch Thailand
Vikas Tah United Kingdom
Shanjun Wu China
Tai-Chi Lin Taiwan
Jay Jiyong Kwak South Korea
Mingzhen Yuan China
Danyao Nie China
Daniel Ferraz Brazil
Fabao Xu
Citations per year, relative to Fabao Xu Fabao Xu (= 1×) peers Daniel Ferraz

Countries citing papers authored by Fabao Xu

Since Specialization
Citations

This map shows the geographic impact of Fabao Xu'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 Fabao Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabao Xu more than expected).

Fields of papers citing papers by Fabao Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabao Xu. 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 Fabao Xu. The network helps show where Fabao Xu may publish in the future.

Co-authorship network of co-authors of Fabao Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Fabao Xu. A scholar is included among the top collaborators of Fabao Xu 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 Fabao Xu. Fabao Xu 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.
Xu, Fabao, Yu Han, Zhongwen Li, et al.. (2025). Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks. Photodiagnosis and Photodynamic Therapy. 52. 104482–104482. 2 indexed citations
2.
Wang, Wenjuan, Zhiwen Li, Xiao Jian Tan, et al.. (2025). Development and validation of a deep learning image quality feedback system for infant fundus photography. Scientific Reports. 15(1). 26852–26852. 1 indexed citations
3.
4.
Li, Shiqiang, Wenjuan Zhao, Fabao Xu, et al.. (2024). Quantitative assessment of retinochoroidal microvasculature in patients with carotid artery stenosis using OCT angiography. Photodiagnosis and Photodynamic Therapy. 46. 104082–104082.
5.
Liu, Shaopeng, Fabao Xu, Wenjie Chen, et al.. (2023). Prediction of OCT images of short-term response to anti-VEGF treatment for diabetic macular edema using different generative adversarial networks. Photodiagnosis and Photodynamic Therapy. 41. 103272–103272. 16 indexed citations
6.
Xiang, Yifan, Jingjing Chen, Fabao Xu, et al.. (2021). Longtime Vision Function Prediction in Childhood Cataract Patients Based on Optical Coherence Tomography Images. Frontiers in Bioengineering and Biotechnology. 9. 646479–646479. 2 indexed citations
7.
Xu, Fabao & Chenjin Jin. (2021). Acupuncture and Ocular Penetration. Ophthalmology. 128(2). 217–217. 1 indexed citations
8.
Lai, Kunbei, Yingqin Li, Longhui Li, et al.. (2021). Intravitreal injection of triptolide attenuates subretinal fibrosis in laser-induced murine model. Phytomedicine. 93. 153747–153747. 15 indexed citations
9.
Li, Cong, et al.. (2021). Quantitative evaluation of photoreceptor density in chronic central serous chorioretinopathy using the Spectralis High Magnification Module. Photodiagnosis and Photodynamic Therapy. 35. 102410–102410. 3 indexed citations
10.
Chen, Jingjing, Yifan Xiang, Zhuoling Lin, et al.. (2021). Application of Surgical Decision Model for Patients With Childhood Cataract: A Study Based on Real World Data. Frontiers in Bioengineering and Biotechnology. 9. 657866–657866.
11.
Xu, Fabao, Kunbei Lai, Chuangxin Huang, et al.. (2021). Quantitative evaluation of damage to retinal capillaries caused by half-dose and half-time photodynamic therapy with optical coherent tomographic angiography. Photodiagnosis and Photodynamic Therapy. 36. 102477–102477. 3 indexed citations
12.
Xu, Fabao, Shaopeng Liu, Yifan Xiang, et al.. (2021). Deep Learning for Detecting Subretinal Fluid and Discerning Macular Status by Fundus Images in Central Serous Chorioretinopathy. Frontiers in Bioengineering and Biotechnology. 9. 651340–651340. 10 indexed citations
13.
Xu, Fabao, Yifan Xiang, Cheng Wan, et al.. (2021). Predicting subretinal fluid absorption with machine learning in patients with central serous chorioretinopathy. Annals of Translational Medicine. 9(3). 242–242. 10 indexed citations
14.
Li, Zhongwen, Chong Guo, Danyao Nie, et al.. (2020). Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images. Communications Biology. 3(1). 15–15. 68 indexed citations
15.
Lai, Kunbei, Wenbo Zhao, Longhui Li, et al.. (2020). Triptolide attenuates laser-induced choroidal neovascularization via M2 macrophage in a mouse model. Biomedicine & Pharmacotherapy. 129. 110312–110312. 14 indexed citations
16.
Lai, Kunbei, Fabao Xu, Longhui Li, et al.. (2020). Effectiveness and Safety of Intravitreal Injection of Conbercept as an Initial Treatment for Exudative Circumscribed Choroidal Hemangioma. Ophthalmologica. 243(6). 436–443. 3 indexed citations
17.
Li, Zhongwen, Chong Guo, Duoru Lin, et al.. (2020). Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images. British Journal of Ophthalmology. 105(11). 1548–1554. 39 indexed citations
18.
Li, Zhongwen, Chong Guo, Danyao Nie, et al.. (2019). A deep learning system for identifying lattice degeneration and retinal breaks using ultra-widefield fundus images. Annals of Translational Medicine. 7(22). 618–618. 40 indexed citations
19.
Lai, Kunbei, Ying Li, Chuangxin Huang, et al.. (2018). Comparison of the effects of photodynamic therapy, intravitreal ranibizumab and combination for polypoidal choroidal vasculopathy under 1 + PRN regimen. BMC Ophthalmology. 18(1). 144–144. 10 indexed citations
20.
Huang, Chuangxin, Zhen Tian, Kunbei Lai, et al.. (2017). Long-Term Therapeutic Outcomes of Photodynamic Therapy-Based or Photocoagulation-Based Treatments on Retinal Capillary Hemangioma. Photomedicine and Laser Surgery. 36(1). 10–17. 8 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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