Ji Shao

488 total citations
36 papers, 334 citations indexed

About

Ji Shao is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Analytical Chemistry. According to data from OpenAlex, Ji Shao has authored 36 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ophthalmology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Analytical Chemistry. Recurrent topics in Ji Shao's work include Retinal Imaging and Analysis (7 papers), Analytical chemistry methods development (6 papers) and Retinal and Optic Conditions (4 papers). Ji Shao is often cited by papers focused on Retinal Imaging and Analysis (7 papers), Analytical chemistry methods development (6 papers) and Retinal and Optic Conditions (4 papers). Ji Shao collaborates with scholars based in China, United States and United Kingdom. Ji Shao's co-authors include Juan Ye, Kai Jin, Xiangji Pan, Xiaoyue Shan, Zhaoan Su, Zhiyuan Gao, Lixia Lou, Jing Cao, Xiaoyu Jiang and Ling Zhang and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Environmental Science and Pollution Research.

In The Last Decade

Ji Shao

31 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji Shao China	10	109	85	41	33	32	36	334
Wang Ya China	13	337 3.1×	43 0.5×	41 1.0×	38 1.2×	2 0.1×	40	647
Heping Hu China	11	80 0.7×	33 0.4×	68 1.7×	8 0.2×	3 0.1×	25	442
Sandeep Deshmukh United States	9	59 0.5×	19 0.2×	39 1.0×	38 1.2×	2 0.1×	27	415
Yanlin Zhu China	12	38 0.3×	74 0.9×	87 2.1×	14 0.4×	12 0.4×	38	559
Jun Kuroda Japan	6	31 0.3×	6 0.1×	22 0.5×	52 1.6×	10 0.3×	23	355
Yuchen Liu China	10	40 0.4×	5 0.1×	19 0.5×	15 0.5×	15 0.5×	52	374
Elena Giannini Italy	8	56 0.5×	3 0.0×	28 0.7×	30 0.9×	9 0.3×	12	396
David Le United States	16	439 4.0×	388 4.6×	41 1.0×	210 6.4×	3 0.1×	40	736
Hiroyuki Hayashi Japan	17	58 0.5×	56 0.7×	110 2.7×	37 1.1×	10 0.3×	60	720

Countries citing papers authored by Ji Shao

Since Specialization

Citations

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

Fields of papers citing papers by Ji Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Shao

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

All Works

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20 of 20 papers shown

Shao, Ji, et al.. (2024). Cycle association prototype network for few-shot semantic segmentation. Engineering Applications of Artificial Intelligence. 138. 109309–109309. 1 indexed citations

Shan, Xiaoyue, et al.. (2024). One-pot fabrication of β-cyclodextrin decorated magnetic composite for magnetic solid-phase extraction of copper ions in water and food samples. Microchemical Journal. 207. 111910–111910. 2 indexed citations

Shao, Ji, Jing Cao, Changjun Wang, et al.. (2024). Automatic Measurement and Comparison of Normal Eyelid Contour by Age and Gender Using Image-Based Deep Learning. Ophthalmology Science. 4(5). 100518–100518. 5 indexed citations

Shao, Ji, et al.. (2023). Query-support semantic correlation mining for few-shot segmentation. Engineering Applications of Artificial Intelligence. 126. 106797–106797. 10 indexed citations

Shao, Ji, Kai Jin, Xiaojun Guan, et al.. (2023). End-to-End Deep-Learning-Based Diagnosis of Benign and Malignant Orbital Tumors on Computed Tomography Images. Journal of Personalized Medicine. 13(2). 204–204. 12 indexed citations

Shan, Xiaoyue, et al.. (2023). Characterization of welding fume and airborne heavy metals in electronic manufacturing workshops in Hangzhou, China: implication for occupational population exposure. Environmental Science and Pollution Research. 30(20). 57398–57409. 3 indexed citations

Wang, Yijie, Zihao Xu, Chunlei Yao, et al.. (2023). Automated classification of multiple ophthalmic diseases using ultrasound images by deep learning. British Journal of Ophthalmology. 108(7). 999–1004. 3 indexed citations

Shao, Ji, Xingru Huang, Jing Cao, et al.. (2023). Deep learning-based image analysis of eyelid morphology in thyroid-associated ophthalmopathy. Quantitative Imaging in Medicine and Surgery. 13(3). 1592–1604. 25 indexed citations

He, Fengrui, et al.. (2023). Simultaneous determination of volatile phenol, cyanide, anionic surfactant, and ammonia nitrogen in drinking water by a continuous flow analyzer. Scientific Reports. 13(1). 1829–1829. 4 indexed citations

10.

Zhang, Ling, et al.. (2022). Association between serum copper/zinc ratio and lung cancer: A systematic review with meta-analysis. Journal of Trace Elements in Medicine and Biology. 74. 127061–127061. 39 indexed citations

11.

Gao, Zhiyuan, Xiangji Pan, Ji Shao, et al.. (2022). Automatic interpretation and clinical evaluation for fundus fluorescein angiography images of diabetic retinopathy patients by deep learning. British Journal of Ophthalmology. 107(12). 1852–1858. 73 indexed citations

12.

Wang, Linyan, Yi Shan, Na You, et al.. (2021). Clinicopathological analysis of 5146 eyelid tumours and tumour-like lesions in an eye centre in South China, 2000–2018: a retrospective cohort study. BMJ Open. 11(1). e041854–e041854. 20 indexed citations

13.

Xue, Jian, Xiaoyue Shan, Ling Zhang, et al.. (2021). Review of Detection and Quantification of Rabies Virus Antibodies. Viral Immunology. 34(8). 522–530. 2 indexed citations

14.

Shao, Ji, et al.. (2021). Magnetic molecularly imprinted polymers for extraction of S‐phenylmercapturic acid from urine samples followed by high‐performance liquid chromatography. Journal of Molecular Recognition. 34(11). e2930–e2930. 5 indexed citations

15.

Wang, Yijie, Lixia Lou, Jing Cao, Ji Shao, & Juan Ye. (2019). Socio‐economic disparity in global burden of near vision loss: an analysis for 2017 with time trends since 1990. Acta Ophthalmologica. 98(2). e138–e143. 14 indexed citations

16.

Shao, Ji. (2014). Spatiotemporal Distribution and Variation of Drought and Waterlog in Different Time Scales in Sinkiang. Journal of Irrigation and Drainage. 1 indexed citations

17.

Shao, Ji. (2008). Research on Supervisory Measurement and Control Technique in Xinjiangyilite Bridge. Highway Engineering.

18.

Shao, Ji. (2003). Epidemiological study on hyperuricemia and gout in community of Nanjing. Chinese Journal of Disease Control and Prevention. 9 indexed citations

19.

Shao, Ji. (2003). Advanced Research on Pharmacology Value of the Extracts of Ginkgo Biloba Leaves. Journal of Chongqing University. English Edition. 2 indexed citations

20.

Yu, Yuan & Ji Shao. (2002). A study on distribution law of microclimate factors in poplar-crop intercropping system.. Zhongguo shengtai nongye xuebao. 1 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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