Xiaogang Wang

2.9k total citations · 1 hit paper
87 papers, 1.9k citations indexed

About

Xiaogang Wang is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Xiaogang Wang has authored 87 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Ophthalmology, 54 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Epidemiology. Recurrent topics in Xiaogang Wang's work include Glaucoma and retinal disorders (33 papers), Corneal surgery and disorders (32 papers) and Ophthalmology and Visual Impairment Studies (21 papers). Xiaogang Wang is often cited by papers focused on Glaucoma and retinal disorders (33 papers), Corneal surgery and disorders (32 papers) and Ophthalmology and Visual Impairment Studies (21 papers). Xiaogang Wang collaborates with scholars based in China, United States and Finland. Xiaogang Wang's co-authors include Yali Jia, David Huang, James G. Fujimoto, Jing Dong, Qiang Wu, Eric Wei, Martin F. Kraus, Xinbo Zhang, Devin M. Gattey and Rebecca Armour and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaogang Wang

84 papers receiving 1.8k citations

Hit Papers

Optical Coherence Tomogra... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaogang Wang China 22 1.3k 1.1k 276 268 164 87 1.9k
Hitoshi Tabuchi Japan 27 1.6k 1.3× 1.5k 1.3× 335 1.2× 121 0.5× 78 0.5× 156 2.0k
Sharon D. Solomon United States 26 2.3k 1.8× 1.8k 1.6× 203 0.7× 233 0.9× 507 3.1× 58 3.1k
Andrea Russo Italy 31 1.4k 1.1× 767 0.7× 113 0.4× 107 0.4× 654 4.0× 101 2.3k
Bianca S. Gerendas Austria 28 2.9k 2.2× 2.9k 2.6× 110 0.4× 440 1.6× 139 0.8× 107 3.5k
Akram Belghith United States 24 2.5k 1.9× 2.3k 2.0× 84 0.3× 244 0.9× 85 0.5× 87 2.7k
Paolo S. Silva United States 30 3.1k 2.4× 2.7k 2.5× 161 0.6× 127 0.5× 371 2.3× 91 3.6k
R. N. Weinreb United States 16 947 0.7× 714 0.6× 54 0.2× 252 0.9× 136 0.8× 36 1.2k
Javier Zarranz‐Ventura Spain 24 1.6k 1.2× 1.1k 1.0× 69 0.3× 121 0.5× 173 1.1× 107 1.8k
Gábor Holló Hungary 31 2.8k 2.1× 1.8k 1.6× 70 0.3× 218 0.8× 291 1.8× 157 3.0k

Countries citing papers authored by Xiaogang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaogang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaogang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaogang Wang. A scholar is included among the top collaborators of Xiaogang Wang 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 Xiaogang Wang. Xiaogang Wang 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.
Li, Yi‐Zhi, Luli Ji, Yuanyuan Xiang, et al.. (2025). Bioactive Materials‐Mediated Regulation of Bone Marrow Microenvironment: Mechanistic Insights and Therapeutic Potentials. Advanced Materials. 38(1). e11497–e11497.
2.
Liu, Yu, et al.. (2024). AI-based 3D analysis of retinal vasculature associated with retinal diseases using OCT angiography. Biomedical Optics Express. 15(11). 6416–6416. 3 indexed citations
3.
Rong, Xin, et al.. (2024). Accuracy of 12 Intraocular Lens Power Formulas After Corneal Myopic Refractive Surgery. Journal of Refractive Surgery. 40(6). e354–e361. 7 indexed citations
4.
Wang, Xiaogang, et al.. (2023). Simulation of fluid dynamics and turbulence during phacoemulsification using the new propeller turbo tip. BMJ Open Ophthalmology. 8(1). e001391–e001391. 1 indexed citations
5.
He, Chong, et al.. (2023). Automatic measurement of anterior chamber angle parameters in AS-OCT images using deep learning. Biomedical Optics Express. 14(4). 1378–1378. 6 indexed citations
6.
Wang, Xiaogang, Gang Sun, Jing Luo, et al.. (2022). Quantitative Evaluation of Retinal Microvascular Abnormalities in Patients With Type 2 Diabetes Mellitus Without Clinical Sign of Diabetic Retinopathy. Translational Vision Science & Technology. 11(4). 20–20. 6 indexed citations
7.
Dong, Jing, et al.. (2021). Three-Dimensional Reconstruction and Swept-Source Optical Coherence Tomography for Crystalline Lens Tilt and Decentration Relative to the Corneal Vertex. Translational Vision Science & Technology. 10(9). 13–13. 4 indexed citations
8.
Zang, Pengxiao, Tristan T. Hormel, Yukun Guo, et al.. (2021). Deep-learning-aided Detection of Referable and Vision Threatening Diabetic Retinopathy based on Structural and Angiographic Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 62(8). 2116–2116. 1 indexed citations
9.
Wang, Jie, Tristan T. Hormel, K. Tsuboi, et al.. (2021). Diagnosing and segmenting choroidal neovascularization in optical coherence tomographic angiography using deep learning. Investigative Ophthalmology & Visual Science. 62(8). 2159–2159. 2 indexed citations
10.
Wang, Jie, Tristan T. Hormel, Liqin Gao, et al.. (2020). Fully automated choroidal neovascularization diagnosis and segmentation using deep learning in projection-resolved OCT angiography. Investigative Ophthalmology & Visual Science. 61(7). 1656–1656. 1 indexed citations
11.
Wang, Xiaogang, et al.. (2019). Optical Quality and Intraocular Scattering in the Diabetic Eye without Diabetic Retinopathy. Optometry and Vision Science. 96(4). 248–255. 3 indexed citations
12.
Wang, Xiaogang, Miao Zhang, Jie Wang, et al.. (2017). Projection-Resolved Optical Coherence Tomography Angiography Features of Branch Retinal Vein and Branch Retinal Artery Occlusion. Investigative Ophthalmology & Visual Science. 58(8). 1533–1533. 1 indexed citations
13.
Zhang, Guangheng, et al.. (2016). HSP90B1 overexpression predicts poor prognosis in NSCLC patients. Tumor Biology. 37(10). 14321–14328. 24 indexed citations
14.
Wang, Xiaogang, Jing Dong, & Qiang Wu. (2015). Corneal thickness, epithelial thickness and axial length differences in normal and high myopia. BMC Ophthalmology. 15(1). 49–49. 29 indexed citations
15.
Xi, Yanfeng, et al.. (2015). HMGB1 overexpression correlates with poor prognosis in early-stage squamous cervical cancer. Tumor Biology. 36(11). 9039–9047. 13 indexed citations
16.
Jia, Yali, Eric Wei, Xiaogang Wang, et al.. (2014). Optical Coherence Tomography Angiography of Optic Disc Perfusion in Glaucoma. Ophthalmology. 121(7). 1322–1332. 602 indexed citations breakdown →
17.
Jia, Yali, Eric Wei, Xiaogang Wang, et al.. (2014). Optical Coherence Tomography Angiography of Optic Disc Perfusion in Glaucoma. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations
18.
Yu, Fudong, Dongwang Yan, Feifei Cui, et al.. (2014). Zinc-α-2-Glycoprotein: A Candidate Biomarker for Colon Cancer Diagnosis in Chinese Population. International Journal of Molecular Sciences. 16(1). 691–703. 29 indexed citations
20.
Wang, Xiaogang, et al.. (2013). IOL Tilt and Decentration Estimation from 3 Dimensional Reconstruction of OCT Image. PLoS ONE. 8(3). e59109–e59109. 29 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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