Wangshu Yu

534 total citations
10 papers, 378 citations indexed

About

Wangshu Yu is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Wangshu Yu has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ophthalmology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Epidemiology. Recurrent topics in Wangshu Yu's work include Retinal and Optic Conditions (4 papers), Retinal Imaging and Analysis (3 papers) and Retinal Diseases and Treatments (3 papers). Wangshu Yu is often cited by papers focused on Retinal and Optic Conditions (4 papers), Retinal Imaging and Analysis (3 papers) and Retinal Diseases and Treatments (3 papers). Wangshu Yu collaborates with scholars based in China, Hong Kong and Spain. Wangshu Yu's co-authors include Wei Han, Maurice Yap, Ye Shen, Nan Hong, Jianhua Xia, Jiani Huang, Qin He, Yibo Yu, Yinhui Yu and Kairan Lai and has published in prestigious journals such as Cell Death and Disease, Journal of Cataract & Refractive Surgery and Frontiers in Cell and Developmental Biology.

In The Last Decade

Wangshu Yu

10 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wangshu Yu China	9	258	143	77	60	54	10	378
Giovanni Fogliato Italy	10	481 1.9×	155 1.1×	31 0.4×	84 1.4×	59 1.1×	19	532
Gürsoy Alagöz Türkiye	12	310 1.2×	163 1.1×	137 1.8×	25 0.4×	72 1.3×	39	436
Joseph Boss United States	8	294 1.1×	165 1.2×	68 0.9×	52 0.9×	12 0.2×	20	429
Reem H. ElSheikh United States	11	240 0.9×	117 0.8×	94 1.2×	21 0.3×	23 0.4×	17	369
Davide Allegrini Italy	13	427 1.7×	264 1.8×	21 0.3×	31 0.5×	60 1.1×	46	535
Samendra Karkhur India	9	176 0.7×	56 0.4×	40 0.5×	25 0.4×	30 0.6×	33	259
P. Hykin United Kingdom	13	492 1.9×	357 2.5×	47 0.6×	29 0.5×	21 0.4×	20	556
Kritchai Vutipongsatorn United Kingdom	6	196 0.8×	206 1.4×	19 0.2×	219 3.6×	36 0.7×	14	364
Igor Kozák United States	13	424 1.6×	100 0.7×	45 0.6×	100 1.7×	16 0.3×	35	487
Dafna Goldenberg Israel	16	625 2.4×	375 2.6×	20 0.3×	48 0.8×	91 1.7×	34	754

Countries citing papers authored by Wangshu Yu

Since Specialization

Citations

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

Fields of papers citing papers by Wangshu Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wangshu Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Wangshu Yu. A scholar is included among the top collaborators of Wangshu Yu 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 Wangshu Yu. Wangshu Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Mou, Haochen, et al.. (2023). Machine learning for predicting the treatment effect of orthokeratology in children. Frontiers in Pediatrics. 10. 1057863–1057863. 19 indexed citations

2.

Huang, Jiani, Wangshu Yu, Qin He, et al.. (2022). Autophagy facilitates age-related cell apoptosis—a new insight from senile cataract. Cell Death and Disease. 13(1). 37–37. 41 indexed citations

3.

Yang, Ming, Minjie Yuan, Wangshu Yu, et al.. (2021). AI-Model for Identifying Pathologic Myopia Based on Deep Learning Algorithms of Myopic Maculopathy Classification and “Plus” Lesion Detection in Fundus Images. Frontiers in Cell and Developmental Biology. 9. 719262–719262. 37 indexed citations

4.

Li, Lu, et al.. (2021). Analyzing fundus images to detect diabetic retinopathy (DR) using deep learning system in the Yangtze River delta region of China. Annals of Translational Medicine. 9(3). 226–226. 10 indexed citations

5.

Li, Lu, Wangshu Yu, Bin Chen, et al.. (2021). Development of deep learning-based detecting systems for pathologic myopia using retinal fundus images. Communications Biology. 4(1). 1225–1225. 28 indexed citations

6.

He, Qin, et al.. (2021). Effect of corneal incision features on anterior and posterior corneal astigmatism and higher‐order aberrations after cataract surgery. Acta Ophthalmologica. 99(7). e1027–e1040. 15 indexed citations

7.

He, Xiaoying, Qin He, Wangshu Yu, et al.. (2021). Optimized protocol for high‐titer lentivirus production and transduction of primary fibroblasts. Journal of Basic Microbiology. 61(5). 430–442. 17 indexed citations

8.

Hong, Nan, Wangshu Yu, Jianhua Xia, et al.. (2020). Evaluation of ocular symptoms and tropism of SARS‐CoV‐2 in patients confirmed with COVID‐19. Acta Ophthalmologica. 98(5). e649–e655. 147 indexed citations

9.

Hong, Nan, Wangshu Yu, Jianhua Xia, et al.. (2020). Are Ocular Symptoms Common in Patients with COVID-19?. SSRN Electronic Journal. 1 indexed citations

10.

Yu, Yinhui, et al.. (2015). Evaluation of dry eye after femtosecond laser–assisted cataract surgery. Journal of Cataract & Refractive Surgery. 41(12). 2614–2623. 63 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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