Sunyi Zheng

67 total papers · 650 total citations
28 papers, 285 citations indexed

About

Sunyi Zheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Sunyi Zheng has authored 28 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 9 papers in Artificial Intelligence. Recurrent topics in Sunyi Zheng's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (13 papers) and COVID-19 diagnosis using AI (6 papers). Sunyi Zheng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (13 papers) and COVID-19 diagnosis using AI (6 papers). Sunyi Zheng collaborates with scholars based in China, Netherlands and United States. Sunyi Zheng's co-authors include Matthijs Oudkerk, Peter M. A. van Ooijen, Xiaonan Cui, Raymond Veldhuis, Monique D. Dorrius, Xueping Jing, Zhaoxiang Ye, L. J. Cornelissen, Yunlong Zhang and Rozemarijn Vliegenthart and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Sunyi Zheng

26 papers receiving 277 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sunyi Zheng	197	133	95	32	31	28	285
Ahmed Shaffie	231 1.2×	135 1.0×	108 1.1×	37 1.2×	11 0.4×	28	308
Amy J. Weisman	177 0.9×	57 0.4×	52 0.5×	23 0.7×	26 0.8×	18	246
Sergei V. Fotin	201 1.0×	176 1.3×	164 1.7×	50 1.6×	38 1.2×	15	330
Ella Barkan	177 0.9×	54 0.4×	197 2.1×	58 1.8×	53 1.7×	14	272
Emi Yamaga	222 1.1×	46 0.3×	151 1.6×	26 0.8×	24 0.8×	28	306
Chi-Cheng Fu	148 0.8×	118 0.9×	87 0.9×	14 0.4×	15 0.5×	12	210
Yushi Chang	262 1.3×	101 0.8×	48 0.5×	17 0.5×	24 0.8×	21	310
Satyananda Kashyap	158 0.8×	41 0.3×	85 0.9×	52 1.6×	56 1.8×	18	272
Andrew Lagree	190 1.0×	37 0.3×	149 1.6×	32 1.0×	24 0.8×	15	291
Albert Xthona	138 0.7×	59 0.4×	207 2.2×	66 2.1×	21 0.7×	17	328

Countries citing papers authored by Sunyi Zheng

Since Specialization

Citations

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

Fields of papers citing papers by Sunyi Zheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunyi Zheng

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

All Works

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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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