Weijun Peng

2.1k total citations
67 papers, 1.5k citations indexed

About

Weijun Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Weijun Peng has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Pulmonary and Respiratory Medicine and 10 papers in Artificial Intelligence. Recurrent topics in Weijun Peng's work include Radiomics and Machine Learning in Medical Imaging (43 papers), MRI in cancer diagnosis (32 papers) and AI in cancer detection (10 papers). Weijun Peng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (43 papers), MRI in cancer diagnosis (32 papers) and AI in cancer detection (10 papers). Weijun Peng collaborates with scholars based in China, Germany and United States. Weijun Peng's co-authors include Yajia Gu, Tong Tong, Shengping Wang, Jing Gong, Liangping Zhou, He Wang, Xiaohang Liu, Hao Wen, Lihua Li and Chao You and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Weijun Peng

64 papers receiving 1.5k citations

Peers

Countries citing papers authored by Weijun Peng

Since Specialization

Citations

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

Fields of papers citing papers by Weijun Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijun Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Weijun Peng. A scholar is included among the top collaborators of Weijun Peng 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 Weijun Peng. Weijun Peng 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

#	Work	Indexed citations
1	Identification of Bruceine A as a novel HSP90AB1 inhibitor for suppressing hepatocellular carcinoma growth 2025 ·Journal of Advanced Research ·Weijun Peng, (unknown), Die Xu, Xiaowei Wang, (unknown), Yejun Tan, (unknown), Yajuan Cui, (unknown), (unknown), Kuan Hu, Jun Fu	1
2	Quantitative analysis from ultrafast dynamic contrast-enhanced breast MRI using population-based versus individual arterial input functions, and comparison with semi-quantitative analysis 2024 ·European Journal of Radiology ·(unknown), Qiufeng Zhao, Caixia Fu, Robert Grimm, Dominik Nickel, (unknown), Lei Yue, Weijun Peng, Yajia Gu	2
3	Artificial intelligence in breast imaging: Current situation and clinical challenges 2023 ·SHILAP Revista de lepidopterología ·Chao You, (unknown), (unknown), Jiayin Zhou, Jiawei Li, Guan-Hua Su, (unknown), Weijun Peng, Yajia Gu, Weisheng Guo, (unknown)	25
4	The Value of Whole-Tumor Histogram and Texture Analysis Using Intravoxel Incoherent Motion in Differentiating Pathologic Subtypes of Locally Advanced Gastric Cancer 2022 ·Frontiers in Oncology ·Huanhuan Li, Bo Sun, Cong Tan, Rong Li, Caixia Fu, Robert Grimm, Hui Zhu, Weijun Peng	6
5	Malignancy Risk Stratification Prediction of Amorphous Calcifications Based on Clinical and Mammographic Features 2021 ·Cancer Management and Research ·Lijuan Shen, (unknown), Tingting Jiang, (unknown), Wentao Yang, Chao You, Weijun Peng	4
6	Computer-aided diagnosis of ground glass pulmonary nodule by fusing deep learning and radiomics features 2021 ·Physics in Medicine and Biology ·(unknown), Jing Gong, Wei Zhou, Haiming Li, Shengping Wang, (unknown), Weijun Peng, Yajia Gu	38
7	Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer 2021 ·Frontiers in Molecular Biosciences ·Ming Fan, Hang Chen, Chao You, (unknown), Yajia Gu, Weijun Peng, Xin Gao, Lihua Li	48
8	The diagnostic value of both mammography and MRI in combination with clinical features in high-risk breast lesions 2020 ·Zhonghua fangshexian yixue zazhi ·Chao You, Weijun Peng, Yajia Gu, (unknown), Xiaohang Liu, Tingting Jiang, Wentao Yang	2
9	Differentiation of renal cell carcinoma subtypes through MRI-based radiomics analysis 2020 ·European Radiology ·Wei Wang, Kaiming Cao, Shengming Jin, Xiaoli Zhu, Jianhui Ding, Weijun Peng	48
10	Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer 2019 ·Frontiers in Oncology ·(unknown), Zhe Wang, Qiufeng Zhao, Qianming Bai, Xiaoyan Zhou, Yajia Gu, Weijun Peng, He Wang	62
11	Differentiation between idiopathic granulomatous mastitis and invasive breast carcinoma, both presenting with non-mass enhancement without rim-enhanced masses: The value of whole-lesion histogram and texture analysis using apparent diffusion coefficient 2019 ·European Journal of Radiology ·Qiufeng Zhao, (unknown), Caixia Fu, Ling Chen, Qianming Bai, Robert Grimm, Weijun Peng, Song Wang	19
12	Radiomic analysis of imaging heterogeneity in tumours and the surrounding parenchyma based on unsupervised decomposition of DCE-MRI for predicting molecular subtypes of breast cancer 2019 ·European Radiology ·Ming Fan, Peng Zhang, Yue Wang, Weijun Peng, Shiwei Wang, Xin Gao, Maosheng Xu, Lihua Li	62
13	Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner 2018 ·European Radiology ·Yiqun Sun, Qin Xiao, (unknown), Caixia Fu, Huixun Jia, Xu Yan, Chao Xin, Sanjun Cai, Weijun Peng, Xiaolin Wang, Tong Tong, Yajia Gu	20
14	Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging 2018 ·European Radiology ·(unknown), Qiufeng Zhao, Caixia Fu, Qianming Bai, Xiaoyan Zhou, Lihua Li, Robert Grimm, (unknown), Yajia Gu, Weijun Peng	66
15	The Assessment of Background Parenchymal Enhancement (BPE) in a High-Risk Population: What Causes BPE? 2018 ·Translational Oncology ·Chao You, Anna Kaiser, Pascal Baltzer, (unknown), Yajia Gu, Weijun Peng, Stefan O. Schönberg, Clemens G. Kaiser	9
16	Association Between Background Parenchymal Enhancement and Pathologic Complete Remission Throughout the Neoadjuvant Chemotherapy in Breast Cancer Patients 2017 ·Translational Oncology ·Chao You, Weijun Peng, (unknown), Min He, Guang‐Yu Liu, Li Xie, Luan Jiang, (unknown), Xuxia Shen, Yajia Gu	27
17	CT and MR imaging of thyroid carcinoma showing thymus-like differentiation (CASTLE): a report of ten cases 2016 ·British Journal of Radiology ·Bin Wu, Tuanqi Sun, Yajia Gu, Weijun Peng, Zhuoying Wang, Rui Bi, Qinghai Ji	17
18	Sensitivity of a non-interferometric grating-based x-ray imaging system 2014 ·Physics in Medicine and Biology ·Ran Zhang, Li Zhang, Zhiqiang Chen, Weijun Peng, Ruimin Li	11
19	The effect of gadolinium chelate contrast agent on diffusion-weighted imaging of pancreatic ductal adenocarcinoma 2013 ·Acta Radiologica ·Kefu Liu, Weijun Peng, Zhengrong Zhou	6
20	The CT findings of pancreatic acinar cell carcinoma in five cases 2012 ·Clinical Imaging ·(unknown), Weijun Peng, Zhengrong Zhou	12

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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