Yu Kuang

1.8k total citations
77 papers, 1.2k citations indexed

About

Yu Kuang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Yu Kuang has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 11 papers in Radiation. Recurrent topics in Yu Kuang's work include Medical Imaging Techniques and Applications (16 papers), Advanced X-ray and CT Imaging (12 papers) and Advanced Radiotherapy Techniques (11 papers). Yu Kuang is often cited by papers focused on Medical Imaging Techniques and Applications (16 papers), Advanced X-ray and CT Imaging (12 papers) and Advanced Radiotherapy Techniques (11 papers). Yu Kuang collaborates with scholars based in China, United States and Canada. Yu Kuang's co-authors include Lei Xing, Guillem Pratx, Tianye Niu, Magdalena Bazalova‐Carter, Nicolas Salem, Zhenghong Lee, Lei Xu, Pengfei Yang, Ke Nie and Dapeng Li and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Yu Kuang

69 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Kuang China 19 688 304 218 166 139 77 1.2k
Alexander J. Lin United States 19 358 0.5× 256 0.8× 234 1.1× 327 2.0× 108 0.8× 54 1.1k
Xiaohua Zhu China 24 723 1.1× 336 1.1× 178 0.8× 334 2.0× 82 0.6× 109 1.5k
Antonella Del Vecchio Italy 17 357 0.5× 126 0.4× 247 1.1× 84 0.5× 300 2.2× 100 1.0k
Luca Indovina Italy 17 590 0.9× 148 0.5× 219 1.0× 94 0.6× 326 2.3× 78 883
Sibo Tian United States 23 767 1.1× 362 1.2× 596 2.7× 240 1.4× 462 3.3× 107 1.7k
Ching-yee Oliver Wong United States 20 618 0.9× 59 0.2× 415 1.9× 150 0.9× 137 1.0× 47 1.0k
Guillaume Vogin France 17 272 0.4× 72 0.2× 368 1.7× 227 1.4× 105 0.8× 61 851
Yoshihiro Ueda Japan 17 447 0.6× 282 0.9× 438 2.0× 45 0.3× 569 4.1× 115 984
Elizabeth A. Ainsbury United Kingdom 23 1.2k 1.7× 140 0.5× 456 2.1× 96 0.6× 181 1.3× 107 2.0k
Andrea Lancia Italy 17 834 1.2× 151 0.5× 792 3.6× 532 3.2× 185 1.3× 59 1.6k

Countries citing papers authored by Yu Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Kuang. A scholar is included among the top collaborators of Yu Kuang 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 Yu Kuang. Yu Kuang 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.
Wang, Hui, et al.. (2025). Advances in Radiation/Photon therapy technology for the treatment of brain metastases. Journal of Innovative Optical Health Sciences. 18(4).
2.
Sun, Haitian, et al.. (2025). A systematic review and meta-analysis of acupuncture's impact on hemiplegic gait recovery after stroke. Complementary Therapies in Medicine. 91. 103181–103181. 1 indexed citations
3.
4.
Chen, Yuanhan, Yu Kuang, Qin Zhang, et al.. (2025). Developing machine learning‐driven acute kidney injury predictive models using non‐standard EMRs in resource‐limited settings. Medical Physics. 52(10). e70038–e70038. 1 indexed citations
5.
6.
Li, Cong, Zhuoting Zhu, Haiyun Yuan, et al.. (2023). Association of preoperative retinal microcirculation and perioperative outcomes in patients undergoing congenital cardiac surgery. Orphanet Journal of Rare Diseases. 18(1). 385–385.
7.
Hu, Yijun, Cong Li, Pingting Zhong, et al.. (2023). Impaired retinal microcirculation in patients with non-obstructive coronary artery disease. Microvascular Research. 148. 104533–104533. 15 indexed citations
8.
Kuang, Yu, et al.. (2023). Nano-TiO2 aggravates immunotoxic effects of chronic ammonia stress in zebrafish (Danio rerio) intestine. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 266. 109548–109548. 10 indexed citations
9.
Wang, Yan, Lei Liu, Yuan Yang, et al.. (2023). Choroidal vessel density in major depressive disorder using swept-source optical coherence tomography angiography. Journal of Affective Disorders. 344. 79–85. 4 indexed citations
10.
11.
Hu, Xi, Xinwei Tao, Yong Zhang, et al.. (2021). Accurate Measurement of Agatston Score Using kVp-Independent Reconstruction Algorithm for Ultra-High-Pitch Sn150 kVp CT. Korean Journal of Radiology. 22(11). 1777–1777.
12.
Li, Cong, Pingting Zhong, Haiyun Yuan, et al.. (2020). Retinal microvasculature impairment in patients with congenital heart disease investigated by optical coherence tomography angiography. Clinical and Experimental Ophthalmology. 48(9). 1219–1228. 18 indexed citations
13.
Zhang, Lidan, et al.. (2020). The impact of respiratory motion and CT pitch on the robustness of radiomics feature extraction in 4DCT lung imaging. Computer Methods and Programs in Biomedicine. 197. 105719–105719. 11 indexed citations
14.
Wu, Liming, Hui He, Gang Chen, et al.. (2020). Associations between obesity and metabolic health with nonalcoholic fatty liver disease in elderly Chinese. Hepatobiliary & pancreatic diseases international. 19(3). 252–257. 4 indexed citations
15.
Liang, Wenjie, Pengfei Yang, Rui Huang, et al.. (2018). A Combined Nomogram Model to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors. Clinical Cancer Research. 25(2). 584–594. 150 indexed citations
16.
Kuang, Yu, Fangjing Wang, David Corn, Haibin Tian, & Zhenghong Lee. (2014). In vitro Characterization of Uptake Mechanism of l-[methyl-3H]-methionine in Hepatocellular Carcinoma. Molecular Imaging and Biology. 16(4). 459–468. 7 indexed citations
17.
Kuang, Yu, Fangjing Wang, David Corn, Haibin Tian, & Zhenghong Lee. (2013). Metabolism of Radiolabeled Methionine in Hepatocellular Carcinoma. Molecular Imaging and Biology. 16(1). 44–52. 9 indexed citations
18.
Bazalova‐Carter, Magdalena, Yu Kuang, Guillem Pratx, & Lei Xing. (2012). Investigation of X-ray Fluorescence Computed Tomography (XFCT) and K-Edge Imaging. IEEE Transactions on Medical Imaging. 31(8). 1620–1627. 69 indexed citations
19.
Wang, Fangjing, et al.. (2009). Cross‐species hybridization of woodchuck hepatitis viral infection‐induced woodchuck hepatocellular carcinoma using human, rat and mouse oligonucleotide microarrays. Journal of Gastroenterology and Hepatology. 24(4). 605–617. 10 indexed citations
20.
Salem, Nicolas, Gregory T. MacLennan, Yu Kuang, et al.. (2007). Quantitative Evaluation of 2-Deoxy-2[F-18]fluoro-d-glucose-Positron Emission Tomography Imaging on the Woodchuck Model of Hepatocellular Carcinoma with Histological Correlation. Molecular Imaging and Biology. 9(3). 135–143. 25 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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