Yuanshen Zhao

2.0k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Yuanshen Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Yuanshen Zhao has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Genetics. Recurrent topics in Yuanshen Zhao's work include Radiomics and Machine Learning in Medical Imaging (19 papers), Glioma Diagnosis and Treatment (7 papers) and AI in cancer detection (7 papers). Yuanshen Zhao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Glioma Diagnosis and Treatment (7 papers) and AI in cancer detection (7 papers). Yuanshen Zhao collaborates with scholars based in China, Macao and Germany. Yuanshen Zhao's co-authors include Chengliang Liu, Liang Gong, Yixiang Huang, Zhicheng Li, Qiuchang Sun, Dong Liang, Kai Yan, Xiaona Lin, Ling Li and Bin Zhou and has published in prestigious journals such as Radiology, American Journal Of Pathology and Sensors.

In The Last Decade

Yuanshen Zhao

24 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review of key techniques of vision-based control for harvesting robot

2016 292 citations Yuanshen Zhao, Liang Gong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuanshen Zhao China	13	550	424	179	169	153	27	1.2k
Artur Klepaczko Poland	10	168 0.3×	474 1.1×	150 0.8×	116 0.7×	163 1.1×	31	1.1k
Vimal K. Shrivastava India	19	433 0.8×	215 0.5×	63 0.4×	238 1.4×	173 1.1×	41	1.4k
İshak Paçal Türkiye	25	334 0.6×	600 1.4×	147 0.8×	699 4.1×	113 0.7×	63	1.8k
Mohammad Hesam Hesamian Australia	5	140 0.3×	517 1.2×	224 1.3×	378 2.2×	140 0.9×	11	1.3k
Liujun Li China	23	612 1.1×	47 0.1×	88 0.5×	72 0.4×	23 0.2×	92	1.6k
Md. Nahiduzzaman Bangladesh	20	128 0.2×	474 1.1×	47 0.3×	325 1.9×	72 0.5×	45	1.1k
Imran Iqbal China	15	58 0.1×	80 0.2×	79 0.4×	167 1.0×	37 0.2×	41	958
Xinhua Jiang China	17	26 0.0×	248 0.6×	91 0.5×	154 0.9×	62 0.4×	142	910
Zhen Qian China	22	16 0.0×	370 0.9×	321 1.8×	144 0.9×	144 0.9×	79	1.7k
Michihisa Iida Japan	21	434 0.8×	10 0.0×	58 0.3×	18 0.1×	148 1.0×	116	1.4k

Countries citing papers authored by Yuanshen Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Yuanshen Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanshen Zhao

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

All Works

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20 of 20 papers shown

Zhao, Yuanshen, Feng Liu, Chaofan Zhu, et al.. (2025). Integrating radiology and histology via co-attention deep learning for predicting progression-free survival in patients with metastatic prostate cancer. Chinese Medical Journal. 138(22). 3013–3015.

Zhao, Yuanshen, Longsong Li, Jingxian Duan, et al.. (2025). SurvGraph: A hybrid-graph attention network for survival prediction using whole slide pathological images in gastric cancer. Neural Networks. 189. 107607–107607.

Liu, Feng, Ying Cao, Wuchao Li, et al.. (2025). PcPreT-Net: Predicting classification of decline rate in prostate-specific antigen using graph neural network. Displays. 90. 103164–103164.

Liu, Feng, Yuanshen Zhao, Jingxian Duan, et al.. (2024). Identifying pathological groups from MRI in prostate cancer using graph representation learning. Displays. 83. 102699–102699. 4 indexed citations

Li, Hui, Yuanshen Zhao, Jingxian Duan, et al.. (2024). MRI and RNA-seq fusion for prediction of pathological response to neoadjuvant chemotherapy in breast cancer. Displays. 83. 102698–102698. 4 indexed citations

Liu, Feng, et al.. (2024). 3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC. Biomedical Signal Processing and Control. 90. 105883–105883. 5 indexed citations

Zhao, Yuanshen, Weiwei Wang, Yuchen Ji, et al.. (2024). Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole Slide Images in Adult Patients with Diffuse Glioma. American Journal Of Pathology. 194(5). 747–758. 8 indexed citations

Yan, Jing, Yuanshen Zhao, Qiuchang Sun, et al.. (2023). Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI. Displays. 78. 102402–102402. 23 indexed citations

Duan, Jingxian, Yuanshen Zhao, Qiuchang Sun, et al.. (2023). Imaging‐proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer. Cancer Medicine. 12(23). 21256–21269. 6 indexed citations

10.

Zhao, Yuanshen, Longsong Li, Tao Li, et al.. (2023). A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer. Abdominal Radiology. 48(11). 3332–3342. 10 indexed citations

11.

Zhao, Yuanshen, et al.. (2023). Deep learning MRI signature to predict survival and treatment benefit from temozolomide in IDH-wildtype glioblastoma. Displays. 77. 102399–102399. 12 indexed citations

12.

Zhao, Yuanshen, et al.. (2022). A radiopathomics model for prognosis prediction in patients with gastric cancer. 1–4. 1 indexed citations

13.

Sun, Qiuchang, Yinsheng Chen, Chaofeng Liang, et al.. (2021). Biologic Pathways Underlying Prognostic Radiomics Phenotypes from Paired MRI and RNA Sequencing in Glioblastoma. Radiology. 301(3). 654–663. 88 indexed citations

14.

Zhao, Yuanshen, Guiqin Liu, Qiuchang Sun, et al.. (2021). Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways. European Radiology. 31(7). 5032–5040. 33 indexed citations

15.

Sun, Qiuchang, Xiaona Lin, Yuanshen Zhao, et al.. (2020). Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region. Frontiers in Oncology. 10. 53–53. 195 indexed citations

16.

Zhao, Yuanshen, Liang Gong, Yixiang Huang, & Chengliang Liu. (2016). Robust Tomato Recognition for Robotic Harvesting Using Feature Images Fusion. Sensors. 16(2). 173–173. 80 indexed citations

17.

Zhao, Yuanshen, Liang Gong, Bin Zhou, Yixiang Huang, & Chengliang Liu. (2016). Detecting tomatoes in greenhouse scenes by combining AdaBoost classifier and colour analysis. Biosystems Engineering. 148. 127–137. 120 indexed citations

18.

Zhao, Yuanshen, Liang Gong, Chengliang Liu, & Yixiang Huang. (2016). Dual-arm Robot Design and Testing for Harvesting Tomato in Greenhouse. IFAC-PapersOnLine. 49(16). 161–165. 70 indexed citations

19.

Gong, Liang, Ran Chen, Yuanshen Zhao, & Chengliang Liu. (2015). Model-based in-situ measurement of pakchoi leaf area. International journal of agricultural and biological engineering. 8(4). 35–42. 2 indexed citations

20.

Yang, Lihong, et al.. (2011). The Influence of Size Effect on Sensitivity of Cu/CuNi Thin- film Thermocouple. Physics Procedia. 22. 95–100. 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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