Y. Z. Sun

9.1k total citations
2 papers, 4 citations indexed

About

Y. Z. Sun is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Oncology. According to data from OpenAlex, Y. Z. Sun has authored 2 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Pulmonary and Respiratory Medicine, 1 paper in Health, Toxicology and Mutagenesis and 1 paper in Oncology. Recurrent topics in Y. Z. Sun's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Air Quality and Health Impacts (1 paper) and Atmospheric aerosols and clouds (1 paper). Y. Z. Sun is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Air Quality and Health Impacts (1 paper) and Atmospheric aerosols and clouds (1 paper). Y. Z. Sun collaborates with scholars based in China, North Korea and United Kingdom. Y. Z. Sun's co-authors include Xiaoyan Wang, Ting Wei, Xin Yuan, Dakang Xu, Zhangsheng Yu, Yujia Xia and Lijun Wang and has published in prestigious journals such as Computer Methods and Programs in Biomedicine and Frontiers in Environmental Science.

In The Last Decade

Y. Z. Sun

1 paper receiving 4 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Z. Sun China 1 3 3 2 2 2 4
C. F. Feng China 2 2 0.7× 2 0.7× 3 1.5× 1 0.5× 6 8
Gabriela Roca Argentina 2 3 1.0× 2 0.7× 3 1.5× 5 3
Juan Pallotta Argentina 2 3 1.0× 4 1.3× 5 2.5× 2 1.0× 4 6
B. Maiheu United Kingdom 1 3 1.0× 2 0.7× 2 1.0× 2 3
Ya Gao China 3 2 0.7× 6 2.0× 2 1.0× 5 2.5× 10 16
Ute Weber Germany 3 3 1.0× 2 1.0× 2 1.0× 6 11
Angela S. Gowan 2 2 0.7× 1 0.3× 2 1.0× 2 1.0× 5 12
Stefan Feigenspan United Kingdom 3 6 2.0× 3 1.0× 1 0.5× 4 13
Birte Rörup Austria 1 3 1.0× 4 2.0× 2 1.0× 2 5

Countries citing papers authored by Y. Z. Sun

Since Specialization
Citations

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

Fields of papers citing papers by Y. Z. Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Z. Sun. 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 Y. Z. Sun. The network helps show where Y. Z. Sun may publish in the future.

Co-authorship network of co-authors of Y. Z. Sun

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

All Works

2 of 2 papers shown
1.
Yuan, Xin, Y. Z. Sun, Lijun Wang, et al.. (2025). Enhancing gastric cancer prognosis prediction via multi-step multi-modality ensemble survival modeling of HE-stained images and mIHC data. Computer Methods and Programs in Biomedicine. 270. 108971–108971.
2.
Sun, Y. Z. & Xiaoyan Wang. (2022). Meteorological factor contributions to the seesaw concentration pattern between PM2.5 and O3 in Shanghai. Frontiers in Environmental Science. 10. 4 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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