Jun Zhao

3.9k total citations
212 papers, 2.2k citations indexed

About

Jun Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Jun Zhao has authored 212 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Biomedical Engineering and 42 papers in Artificial Intelligence. Recurrent topics in Jun Zhao's work include Medical Imaging Techniques and Applications (51 papers), Radiomics and Machine Learning in Medical Imaging (39 papers) and Advanced X-ray and CT Imaging (33 papers). Jun Zhao is often cited by papers focused on Medical Imaging Techniques and Applications (51 papers), Radiomics and Machine Learning in Medical Imaging (39 papers) and Advanced X-ray and CT Imaging (33 papers). Jun Zhao collaborates with scholars based in China, United States and Japan. Jun Zhao's co-authors include Yang Lu, Ge Wang, Jingchen Ma, Yacheng Ren, Junfeng Xiong, Lin Lü, Yanzhi Du, Zi‐Jiang Chen, Xiaolong Fu and Jianqi Sun and has published in prestigious journals such as Journal of Clinical Oncology, Applied Physics Letters and Scientific Reports.

In The Last Decade

Jun Zhao

194 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Zhao China	24	1.0k	509	443	277	233	212	2.2k
Brandon D. Gallas United States	21	839 0.8×	385 0.8×	517 1.2×	425 1.5×	178 0.8×	83	1.7k
Sergios Gatidis Germany	32	1.9k 1.9×	527 1.0×	615 1.4×	313 1.1×	242 1.0×	168	3.4k
David Fuentes United States	23	747 0.7×	589 1.2×	294 0.7×	104 0.4×	203 0.9×	113	1.9k
G. Russo Italy	30	1.1k 1.1×	398 0.8×	898 2.0×	305 1.1×	353 1.5×	211	2.9k
Enhao Gong United States	26	1.3k 1.2×	469 0.9×	202 0.5×	205 0.7×	381 1.6×	49	2.6k
Dong Liang China	24	1.2k 1.2×	317 0.6×	285 0.6×	285 1.0×	74 0.3×	145	1.9k
Alexander Cavallaro Germany	25	699 0.7×	227 0.4×	541 1.2×	189 0.7×	209 0.9×	95	2.5k
Romain Modzelewski France	24	1.1k 1.1×	145 0.3×	506 1.1×	331 1.2×	89 0.4×	70	1.8k
Mark B. Williams United States	23	1.2k 1.1×	673 1.3×	938 2.1×	369 1.3×	93 0.4×	109	2.0k
Matthew Orton United Kingdom	31	2.6k 2.5×	200 0.4×	441 1.0×	511 1.8×	140 0.6×	81	3.7k

Countries citing papers authored by Jun Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Jun Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Zhao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Yubo, et al.. (2025). Prompt robust large language model for Chinese medical named entity recognition. Information Processing & Management. 62(5). 104189–104189. 2 indexed citations

Wang, Jing, et al.. (2025). Neural Architecture Search for Unsupervised PET Image Denoising. IEEE Transactions on Radiation and Plasma Medical Sciences. 10(1). 51–62.

Cai, Guangyan, Kai Wang, Jun Zhao, et al.. (2024). Neoadjuvant Camrelizumab Combined with Chemotherapy for Resectable Stage IIIA-IIIB Non-Small Cell Lung Cancer: Single Arm Phase II Study. International Journal of Radiation Oncology*Biology*Physics. 120(2). e10–e10. 1 indexed citations

Chen, Enping, Hua-Nong Ting, Joon Huang Chuah, & Jun Zhao. (2024). Segmentation of Overlapping Cells in Cervical Cytology Images: A Survey. IEEE Access. 12. 114170–114189. 2 indexed citations

Xu, Jun, et al.. (2024). Extranodal Rosai-Dorfman disease masquerading as intrathoracic invasive malignancy with ankylosing spondylitis: a case report. Journal of Cardiothoracic Surgery. 19(1). 640–640.

Chen, Jingrong, Yanan Deng, Junlong Dang, et al.. (2024). miRNA-148a–containing GMSC-derived EVs modulate Treg/Th17 balance via IKKB/NF-κB pathway and treat a rheumatoid arthritis model. JCI Insight. 9(10). 21 indexed citations

Liu, Tianyu, et al.. (2023). A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy’s pathological response diagnosis using breast dynamic contrast-enhanced MRI. Biomedical Signal Processing and Control. 86. 105145–105145. 2 indexed citations

Zhao, Jun, et al.. (2023). Multi-scale dense selective network based on border modeling for lung nodule segmentation. International Journal of Computer Assisted Radiology and Surgery. 18(5). 845–853. 5 indexed citations

Li, Yang, et al.. (2023). A Whittaker category for the symplectic Lie algebra and differential operators. Arkiv för matematik. 61(1). 123–140. 1 indexed citations

10.

Zeng, Yingchun, Su Yan, Jun Zhao, et al.. (2023). A self-administered immersive virtual reality tool for assessing cognitive impairment in patients with cancer. Asia-Pacific Journal of Oncology Nursing. 10(3). 100205–100205. 4 indexed citations

11.

Zhao, Lu, et al.. (2023). CoADS: Cross attention based dual-space graph network for survival prediction of lung cancer using whole slide images. Computer Methods and Programs in Biomedicine. 236. 107559–107559. 8 indexed citations

12.

Chen, Jiafei, Jun Zhao, Bowei Liu, et al.. (2023). What Matters in Radiological Image Segmentation? Effect of Segmentation Errors on the Diagnostic Related Features. Journal of Digital Imaging. 36(5). 2088–2099. 4 indexed citations

13.

Zhao, Jun, et al.. (2023). Fusion with GCN and SE-ResNeXt Network for Aspect Based Multimodal Sentiment Analysis. 336–340. 3 indexed citations

14.

Shao, Yan, Wen Feng, Qin Zhang, et al.. (2023). Dosiomics and radiomics improve the prediction of post‐radiotherapy neutrophil‐lymphocyte ratio in locally advanced non‐small cell lung cancer. Medical Physics. 51(1). 650–661. 7 indexed citations

15.

Chen, Yizhi, Yunhe Gao, Kang Li, Liang Zhao, & Jun Zhao. (2019). Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model. IEEE Transactions on Medical Imaging. 39(2). 387–399. 46 indexed citations

16.

Ren, Jie, et al.. (2019). Supervised Deep Learning in High Energy Phenomenology: a Mini Review*. Communications in Theoretical Physics. 71(8). 955–955. 34 indexed citations

17.

Feng, Tao, Jizhe Wang, Yun Dong, Jun Zhao, & Hongdi Li. (2018). A Novel Data-Driven Cardiac Gating Signal Extraction Method for PET. IEEE Transactions on Medical Imaging. 38(2). 629–637. 6 indexed citations

18.

Ren, Jie, Lei Wu, Jin Min Yang, & Jun Zhao. (2017). Machine Learning Scan and Application in SUSY. arXiv (Cornell University). 1 indexed citations

19.

Zhao, Jun. (2007). Novel Method of Moving Object Detection Based on Three Frame Differencing and Connectivity Checking. Chinese Journal of Liquid Crystals and Displays. 1 indexed citations

20.

Zhao, Jun, et al.. (1996). Emotional expression classification by genetic programming. Greenwich Academic Literature Archive (University of Greenwich). 134(2). 43–9. 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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