Yue Shi

1.5k total citations
43 papers, 1.0k citations indexed

About

Yue Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Epidemiology. According to data from OpenAlex, Yue Shi has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Ophthalmology and 8 papers in Epidemiology. Recurrent topics in Yue Shi's work include Glaucoma and retinal disorders (15 papers), Retinal Diseases and Treatments (12 papers) and Retinal Imaging and Analysis (12 papers). Yue Shi is often cited by papers focused on Glaucoma and retinal disorders (15 papers), Retinal Diseases and Treatments (12 papers) and Retinal Imaging and Analysis (12 papers). Yue Shi collaborates with scholars based in United States, China and Italy. Yue Shi's co-authors include Srinivas R. Sadda, Akihito Uji, Enrico Borrelli, Marco Nassisi, Jianqin Lei, Paul J. Buske, Petra Anne Levin, Norbert S. Hill, Wenying Fan and Michael S. Ip and has published in prestigious journals such as Scientific Reports, Ophthalmology and PLoS Genetics.

In The Last Decade

Yue Shi

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Shi United States 15 691 661 196 111 106 43 1.0k
Xinting Liu China 12 212 0.3× 181 0.3× 112 0.6× 39 0.4× 35 0.3× 64 574
Rachel A. Allbaugh United States 14 420 0.6× 217 0.3× 183 0.9× 14 0.1× 28 0.3× 70 714
Daniel Kampik Germany 14 159 0.2× 175 0.3× 148 0.8× 23 0.2× 71 0.7× 30 612
Mohammad‐Ali Javadi Iran 17 535 0.8× 584 0.9× 85 0.4× 13 0.1× 58 0.5× 62 995
Manijeh Mahdavi Iran 14 110 0.2× 173 0.3× 189 1.0× 8 0.1× 39 0.4× 43 536
Paolo Mora Italy 18 491 0.7× 261 0.4× 76 0.4× 15 0.1× 17 0.2× 71 760
Hao Gu China 11 72 0.1× 77 0.1× 121 0.6× 17 0.2× 23 0.2× 37 384
Mouhamed Al‐Aqaba United Kingdom 19 581 0.8× 632 1.0× 38 0.2× 17 0.2× 12 0.1× 28 960
Farid Karimian Iran 21 745 1.1× 1.1k 1.7× 63 0.3× 12 0.1× 49 0.5× 86 1.3k
Kiyofumi Mochizuki Japan 13 381 0.6× 69 0.1× 90 0.5× 4 0.0× 26 0.2× 75 628

Countries citing papers authored by Yue Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yue Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Shi. A scholar is included among the top collaborators of Yue Shi 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 Yue Shi. Yue Shi 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.
Zheng, Ang, et al.. (2024). SNORA5A regulates tumor-associated macrophage M1/M2 phenotypes via TRAF3IP3 in breast cancer. Brazilian Journal of Medical and Biological Research. 57. e13809–e13809. 1 indexed citations
2.
Shi, Yue, et al.. (2022). RGBD salient object detection based on depth feature enhancement. Journal of Physics Conference Series. 2181(1). 12008–12008. 2 indexed citations
3.
Lan, Gongpu, Jingjiang Xu, Zhilin Hu, et al.. (2021). Design of 1300 nm spectral domain optical coherence tomography angiography system for iris microvascular imaging. Journal of Physics D Applied Physics. 54(26). 264002–264002. 10 indexed citations
4.
Maram, Jyotsna, et al.. (2020). Application of conjunctival hyperemia severity scale to assess color photographs of eyes with pterygia. Investigative Ophthalmology & Visual Science. 61(7). 491–491. 1 indexed citations
5.
Jung, Jesse J., Michael H. Chen, Yue Shi, et al.. (2020). Correlation of Quantitative Measurements with Diabetic Disease Severity Using Multiple En Face OCT Angiography Image Averaging. Ophthalmology Retina. 4(11). 1069–1082. 11 indexed citations
6.
Li, Jianye, Yue Shi, & Benjamin R. Clark. (2020). Semi-synthesis of antibacterial dialkylresorcinol derivatives. The Journal of Antibiotics. 74(1). 70–75. 3 indexed citations
7.
Xiong, Yi, et al.. (2020). Characterization of Ligninolytic Bacteria and Analysis of Alkali-Lignin Biodegradation Products. Polish Journal of Microbiology. 69(3). 339–347. 28 indexed citations
8.
Lee, Olivia L, et al.. (2020). Quantifying the Size of the Pterygium Head by Evaluating the Fibrous Area or the Vascularized Area. Cornea. 39(9). 1069–1072. 1 indexed citations
9.
Sadda, Srinivas R., Nizar Saleh Abdelfattah, Jianqin Lei, et al.. (2020). Spectral-Domain OCT Analysis of Risk Factors for Macular Atrophy Development in the HARBOR Study for Neovascular Age-Related Macular Degeneration. Ophthalmology. 127(10). 1360–1370. 45 indexed citations
10.
Fang, Mengyuan, Wenying Fan, Yue Shi, et al.. (2019). Classification of Regions of Nonperfusion on Ultra-widefield Fluorescein Angiography in Patients with Diabetic Macular Edema. American Journal of Ophthalmology. 206. 74–81. 21 indexed citations
11.
12.
Borrelli, Enrico, Yue Shi, Akihito Uji, et al.. (2018). Topographic Analysis of the Choriocapillaris in Intermediate Age-related Macular Degeneration. American Journal of Ophthalmology. 196. 34–43. 129 indexed citations
13.
Shi, Yue, Jianqin Lei, & Srinivas R. Sadda. (2017). Comparison of the reliability of confocal color, flash color, and fundus autofluorescence imaging for the quantitative assessment of geographic atrophy. Investigative Ophthalmology & Visual Science. 58(8). 23–23. 2 indexed citations
14.
Li, Xiuliang, Yanyan Zhang, Xinyang Liu, et al.. (2017). Lactobacillus plantarum and Lactobacillus fermentum alone or in combination regulate intestinal flora composition and systemic immunity to alleviate obesity syndrome in high‐fat diet rat. International Journal of Food Science & Technology. 53(1). 137–146. 24 indexed citations
15.
16.
Shi, Yue. (2016). Strategies for improving the early diagnosis of keratoconus. Clinical Optometry. 8. 13–13. 32 indexed citations
17.
Marsack, Jason D., et al.. (2013). What is the smallest change in visual acuity that is correlated with a change in image quality. Investigative Ophthalmology & Visual Science. 54(15). 1283–1283. 1 indexed citations
18.
Shi, Yue, et al.. (2013). Registration Tolerance of a Custom Correction to Maintain Visual Acuity. Optometry and Vision Science. 90(12). 1370–1384. 6 indexed citations
19.
Applegate, Raymond A., et al.. (2011). Six just-noticeable differences in retinal image quality in 1 line of visual acuity: Toward quantification of happy versus unhappy patients with 20/20 acuity. Journal of Cataract & Refractive Surgery. 37(8). 1523–1529. 25 indexed citations
20.
Shi, Yue, et al.. (2011). Changes In Log Visual Strehl Predicts Changes In Visual Acuity. Investigative Ophthalmology & Visual Science. 52(14). 2814–2814. 3 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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