J. Yang

3.1k total citations
4 papers, 8 citations indexed

About

J. Yang is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Yang has authored 4 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Ophthalmology and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Yang's work include Retinal and Optic Conditions (1 paper), Retinal Imaging and Analysis (1 paper) and Plant Pathogenic Bacteria Studies (1 paper). J. Yang is often cited by papers focused on Retinal and Optic Conditions (1 paper), Retinal Imaging and Analysis (1 paper) and Plant Pathogenic Bacteria Studies (1 paper). J. Yang collaborates with scholars based in China, Switzerland and Hong Kong. J. Yang's co-authors include Danli Shi, Shan C. Lin, Mingguang He, Weiyi Zhang, Siyu Huang, Xun Xu, Mayinuer Yusufu, Kai Jin, Weiping Chai and Feng Yu and has published in prestigious journals such as The ISME Journal, npj Digital Medicine and Journal of Instrumentation.

In The Last Decade

J. Yang

1 paper receiving 8 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Yang China 1 5 4 2 2 1 4 8
Rinal Pandit India 2 4 0.8× 4 1.0× 2 1.0× 4 7
Nicole Tay United Kingdom 2 6 1.2× 3 0.8× 3 1.5× 4 8
Alexa Beiser United States 3 4 0.8× 3 0.8× 1 0.5× 9 11
Krzysztof Cieślik Poland 2 6 1.2× 4 1.0× 4 7
Xiangke Yin China 2 4 0.8× 5 1.3× 2 6
Y. Xia China 1 3 0.6× 4 1.0× 3 4
Tuyisabe Theophile France 1 3 0.6× 4 1.0× 1 0.5× 2 6
Tien Yin Wong China 1 4 0.8× 2 0.5× 4 2.0× 2 5
Carlos M. Dulanto-Reinoso Australia 2 3 0.6× 3 0.8× 1 0.5× 2 4
Magdalena Kołodziej Poland 2 6 1.2× 8 2.0× 2 9

Countries citing papers authored by J. Yang

Since Specialization
Citations

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

Fields of papers citing papers by J. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Yang

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

All Works

4 of 4 papers shown
1.
Zhang, Weiyi, J. Yang, Bingjie Yan, et al.. (2025). Benchmarking large multimodal models for ophthalmic visual question answering with OphthalWeChat. PubMed. 6(1). 33–41.
3.
Wang, K., Geng Wang, Weiping Chai, et al.. (2025). High-precision beam optics calculation of the HIAF-BRing using measured fields. Journal of Instrumentation. 20(8). P08023–P08023.
4.
Shi, Danli, Weiyi Zhang, J. Yang, et al.. (2025). A multimodal visual–language foundation model for computational ophthalmology. npj Digital Medicine. 8(1). 381–381. 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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