Jiangyuan Yu

478 total citations
19 papers, 344 citations indexed

About

Jiangyuan Yu is a scholar working on Epidemiology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiangyuan Yu has authored 19 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 12 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiangyuan Yu's work include Neuroendocrine Tumor Research Advances (13 papers), Lung Cancer Research Studies (12 papers) and Neuroblastoma Research and Treatments (7 papers). Jiangyuan Yu is often cited by papers focused on Neuroendocrine Tumor Research Advances (13 papers), Lung Cancer Research Studies (12 papers) and Neuroblastoma Research and Treatments (7 papers). Jiangyuan Yu collaborates with scholars based in China, Ethiopia and United States. Jiangyuan Yu's co-authors include Zhi Yang, Nan Li, Hua Zhu, Xiangxi Meng, Ming Lu, Lin Shen, Yan Zhang, Jianmin Yuan, Zhi Yang and Yanye Lu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Nano Research and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Jiangyuan Yu

18 papers receiving 342 citations

Peers

Jiangyuan Yu

EPIDE

ONCOL

RNMI

NEURO

CVPR

Cong Lei China

Frederic Madesta Germany

Oliver Schramm Germany

Zijian Zhou United States

Ajay Patel Netherlands

Marit Lucas Netherlands

Habibollah Dadgar Iran

Mingzhen Yuan China

Jiulou Zhang China

Sari Suortamo United Kingdom

Cong Lei China

Jiangyuan Yu

38 ×0.3

EPIDE

83 ×0.6

ONCOL

52 ×0.3

RNMI

20 ×0.2

NEURO

90 ×1.3

CVPR

Citations per year, relative to Jiangyuan Yu Jiangyuan Yu (= 1×) peers Cong Lei

Countries citing papers authored by Jiangyuan Yu

Since Specialization

Citations

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

Fields of papers citing papers by Jiangyuan Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangyuan Yu

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

All Works

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19 of 19 papers shown

Zeng, Ziqing, Zizhen Zhang, Qing Xie, et al.. (2025). Predicting 177Lu-DOTATATE therapy response through immune microenvironment parameters in gastroenteropancreatic neuroendocrine tumors (GEP-NETs). European Journal of Nuclear Medicine and Molecular Imaging. 53(2). 940–953.

Yu, Fei, Pengjun Zhang, Guoqiang Shao, et al.. (2022). Detection of Bone Metastases by ⁶⁸Ga‐DOTA‐SSAs and ¹⁸F‐FDG PET/CT: A Two‐Center Head‐to‐Head Study of Gastroenteropancreatic Neuroendocrine Neoplasms. Contrast Media & Molecular Imaging. 2022(1). 1750132–1750132. 6 indexed citations

Guo, Rui, Yan Shi, Fei Wang, et al.. (2022). A novel diagnostic model for differentiation of lung metastasis from primary lung cancer in patients with colorectal cancer. Frontiers in Oncology. 12. 1017618–1017618. 1 indexed citations

Chen, Qichen, Zilin Li, Jiangyuan Yu, et al.. (2022). Novel gold nanoparticles targeting somatostatin receptor subtype two with near-infrared light for neuroendocrine tumour therapy. Nano Research. 15(10). 9149–9159. 5 indexed citations

Mao, Xin, Shujun Zhao, Xiangxi Meng, et al.. (2022). PET parametric imaging based on MR frequency-domain texture information. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1029. 166411–166411. 1 indexed citations

Meng, Xiangxi, Jiangyuan Yu, Lei Zhu, et al.. (2021). Content-Noise Complementary Learning for Medical Image Denoising. IEEE Transactions on Medical Imaging. 41(2). 407–419. 111 indexed citations

Ding, Wenxiang, Jiangyuan Yu, Peng Fu, et al.. (2021). Machine Learning-Based Noninvasive Quantification of Single-Imaging Session Dual-Tracer ¹⁸F-FDG and ⁶⁸Ga-DOTATATE Dynamic PET-CT in Oncology. IEEE Transactions on Medical Imaging. 41(2). 347–359. 19 indexed citations

Lu, Ming, Shizhen Zhai, Rui Guo, et al.. (2021). Correlation between NEN Bone Metastasis Performance and Tumor Proliferation: 112 Cases of [<sup>68</sup>Ga]Ga-DOTA-TATE Result Analysis. Neuroendocrinology. 112(7). 666–672. 1 indexed citations

Yu, Jiangyuan, Xinya Zhao, Ming Lu, et al.. (2021). Correlation and Comparison of Somatostatin Receptor Type 2 Immunohistochemical Scoring Systems with <sup>68</sup>Ga-DOTATATE Positron Emission Tomography/Computed Tomography Imaging in Gastroenteropancreatic Neuroendocrine Neoplasms. Neuroendocrinology. 112(4). 358–369. 14 indexed citations

10.

Meng, Xiangxi, Fei Wang, Jiangyuan Yu, et al.. (2021). 68Ga-P15-041, A Novel Bone Imaging Agent for Diagnosis of Bone Metastases. Frontiers in Oncology. 11. 766851–766851. 9 indexed citations

11.

Liu, Teli, Nina Zhou, Xiangxi Meng, et al.. (2021). Synthesis, preclinical evaluation, and a pilot clinical imaging study of [18F]AlF-NOTA-JR11 for neuroendocrine neoplasms compared with [68Ga]Ga-DOTA-TATE. European Journal of Nuclear Medicine and Molecular Imaging. 48(10). 3129–3140. 31 indexed citations

12.

Zhou, Nina, Xiangxi Meng, Yan Zhang, et al.. (2021). Diagnostic Value of Delayed PET/MR in Liver Metastasis in Comparison With PET/CT. Frontiers in Oncology. 11. 717687–717687. 9 indexed citations

13.

Cao, Yanshuo, Yutong Ma, Jiangyuan Yu, et al.. (2020). Favorable response to immunotherapy in a pancreatic neuroendocrine tumor with temozolomide‐induced high tumor mutational burden. Cancer Communications. 40(12). 746–751. 19 indexed citations

14.

Yu, Jiangyuan, Fang Cao, Yu Sun, & Zhi Yang. (2020). The Distance from Pathology to Molecular Imaging SSTR Expression Comparison in 100 Gastroenteropancreatic Neuroendocrine Neoplasms. 61. 417–417. 1 indexed citations

15.

Li, Zhongwu, et al.. (2019). A 18FDG PET/CT-based volume parameter is a predictor of overall survival in patients with local advanced gastric cancer. Chinese Journal of Cancer Research. 31(4). 632–640. 3 indexed citations

16.

Yu, Jiangyuan, Nan Li, Jie Li, et al.. (2019). The Correlation Between [68Ga]DOTATATE PET/CT and Cell Proliferation in Patients With GEP-NENs. Molecular Imaging and Biology. 21(5). 984–990. 20 indexed citations

17.

Zhang, Panpan, Jiangyuan Yu, Jie Li, et al.. (2018). Clinical and Prognostic Value of PET/CT Imaging with Combination of ⁶⁸Ga-DOTATATE and ¹⁸F-FDG in Gastroenteropancreatic Neuroendocrine Neoplasms. Contrast Media & Molecular Imaging. 2018. 1–9. 66 indexed citations

18.

Liu, Peng, Xu Zhu, Jie Li, et al.. (2017). Retrospective analysis of interventional treatment of hepatic metastasis from gastroenteropancreatic neuroendocrine tumors. Chinese Journal of Cancer Research. 29(6). 581–586. 4 indexed citations

19.

Liu, Fei, Hua Zhu, Jiangyuan Yu, et al.. (2017). ⁶⁸Ga/¹⁷⁷Lu-labeled DOTA-TATE shows similar imaging and biodistribution in neuroendocrine tumor model. Tumor Biology. 39(6). 3726132151–3726132151. 24 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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