Peipei Pang

6.1k total citations · 1 hit paper
80 papers, 3.9k citations indexed

About

Peipei Pang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Peipei Pang has authored 80 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Pulmonary and Respiratory Medicine and 15 papers in Oncology. Recurrent topics in Peipei Pang's work include Radiomics and Machine Learning in Medical Imaging (60 papers), MRI in cancer diagnosis (19 papers) and Advanced X-ray and CT Imaging (12 papers). Peipei Pang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (60 papers), MRI in cancer diagnosis (19 papers) and Advanced X-ray and CT Imaging (12 papers). Peipei Pang collaborates with scholars based in China, United States and Canada. Peipei Pang's co-authors include Wenbin Ji, Huangqi Zhang, Jicheng Xie, Yicheng Fang, Minjie Lin, Lingjun Ying, Zhenyu Shu, Xiangyang Gong, Yuyun Xu and Zhongxiang Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Scientific Reports.

In The Last Decade

Peipei Pang

80 papers receiving 3.8k 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.

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

2020 2.2k citations Huangqi Zhang, Peipei Pang et al. profile →

Peers

Countries citing papers authored by Peipei Pang

Since Specialization

Citations

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

Fields of papers citing papers by Peipei Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Peipei Pang. A scholar is included among the top collaborators of Peipei Pang 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 Peipei Pang. Peipei Pang 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	CT-based assessment of sarcopenia for differentiating wild-type from mutant-type gastrointestinal stromal tumor 2023 ·Scientific Reports ·Xiaoping Yi, Gaofeng Zhou, Yan Fu, Jinchun Wu, Changyong Chen, Hongyan Zai, (unknown), Peipei Pang, Haiyan Zhou, Guanghui Gong, (unknown), Fengbo Tan, Heli Liu, Bin Li, Bihong T. Chen	1
2	Value of ultrasound imaging-omics features in the diagnosis of primary nephrotic syndrome 2023 ·SHILAP Revista de lepidopterología ·(unknown), Ming Zhan, (unknown), (unknown), Bo Feng, Zhongxiang Ding, Peipei Pang	1
3	A study of MRI-based machine-learning methods for glioma grading 2022 ·Internatuinal Journal of Radiation Research ·Zhou Wang, Xuan Xiao, (unknown), (unknown), Peipei Pang, (unknown), (unknown), (unknown)	2
4	Value of texture analysis based on dynamic contrast-enhanced magnetic resonance imaging in preoperative assessment of extramural venous invasion in rectal cancer 2022 ·Insights into Imaging ·Junjie Fang, Wei Sun, Dan Wu, Peipei Pang, (unknown), (unknown), Wei Lu, Guangyu Tang	5
5	The Nomogram of MRI‐based Radiomics with Complementary Visual Features by Machine Learning Improves Stratification of Glioblastoma Patients: A Multicenter Study 2021 ·Journal of Magnetic Resonance Imaging ·Yuyun Xu, (unknown), Yumei Li, Peipei Pang, Zhenyu Shu, Xiangyang Gong	17
6	Myosteatosis predicting risk of transition to severe COVID-19 infection 2021 ·Clinical Nutrition ·Xiaoping Yi, Haipeng Liu, Liping Zhu, Dongcui Wang, (unknown), Linbo Shi, Mei Ji, Xiaolong Jiang, Qiuhua Zeng, (unknown), Yihui Li, Peipei Pang, Jie Liu, (unknown), Harrison X. Bai, (unknown), Bihong T. Chen	29
7	No staghorn calculi and none/mild hydronephrosis may be risk factors for severe bleeding complications after percutaneous nephrolithotomy 2021 ·BMC Urology ·Xue Dong, (unknown), Huangqi Zhang, (unknown), (unknown), Peipei Pang, (unknown), (unknown), Wenbin Ji	5
8	Radiomic Feature-Based Nomogram: A Novel Technique to Predict EGFR-Activating Mutations for EGFR Tyrosin Kinase Inhibitor Therapy 2021 ·Frontiers in Oncology ·Qiaoyou Weng, (unknown), Hailin Wang, (unknown), Jiansheng Huang, (unknown), Liyun Zheng, Shiji Fang, Minjiang Chen, Chenying Lu, Yuyan Bao, Peipei Pang, Min Xu, Weibo Mao, (unknown), Jianfei Tu, Yuan Huang, Jiansong Ji	13
9	MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma 2021 ·European Radiology ·(unknown), Handong Li, (unknown), Peipei Pang, (unknown), Feiping Li, Qiang Lu, Xiaoping Yu	32
10	Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer 2021 ·European Radiology ·Zhenyu Shu, Dewang Mao, (unknown), Yuyun Xu, Peipei Pang, Yang Zhang	35
11	Diagnostic Performance of Vascular Permeability and Texture Parameters for Evaluating the Response to Neoadjuvant Chemoradiotherapy in Patients With Esophageal Squamous Cell Carcinoma 2021 ·Frontiers in Oncology ·(unknown), Jian Wang, (unknown), (unknown), Weizhen Wang, Peipei Pang, Min Kong, Chao Zhou	3
12	Non-contrast CT-based radiomic signature for screening thoracic aortic dissections: a multicenter study 2021 ·European Radiology ·Yifan Guo, (unknown), (unknown), (unknown), (unknown), Peipei Pang, (unknown), Maosheng Xu, Zhichao Sun	14
13	Radiomics from magnetic resonance imaging may be used to predict the progression of white matter hyperintensities and identify associated risk factors 2020 ·European Radiology ·Zhenyu Shu, Yuyun Xu, (unknown), Peipei Pang, Xiangyang Gong	20
14	A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection 2020 ·Journal of Thoracic Imaging ·Liping Fu, (unknown), (unknown), Peipei Pang, Zhenyu Shu	33
15	Radiomics Analysis and Correlation With Metabolic Parameters in Nasopharyngeal Carcinoma Based on PET/MR Imaging 2020 ·Frontiers in Oncology ·Qi Feng, (unknown), Luoyu Wang, (unknown), (unknown), Peipei Pang, Zhongxiang Ding	23
16	A Nomogram Combined Radiomic and Semantic Features as Imaging Biomarker for Classification of Ovarian Cystadenomas 2020 ·Frontiers in Oncology ·(unknown), Zhongxiang Ding, (unknown), (unknown), (unknown), (unknown), Peipei Pang, (unknown)	14
17	An Integrative Nomogram for Identifying Early-Stage Parkinson's Disease Using Non-motor Symptoms and White Matter-Based Radiomics Biomarkers From Whole-Brain MRI 2020 ·Frontiers in Aging Neuroscience ·Zhenyu Shu, Peipei Pang, Xiao Wu, Sijia Cui, Yuyun Xu, Minming Zhang	20
18	Value of MRI Radiomics Based on Enhanced T1WI Images in Prediction of Meningiomas Grade 2020 ·Academic Radiology ·(unknown), Xiaoqi Lin, Jian He, Peipei Pang, Bing Fan, Pinggui Lei, (unknown), Chenglong Ye	42
19	CT radiomics model for predicting the three-year survival time of primary hepatocellular carcinoma 2018 ·Zhonghua fangshexian yixue zazhi ·Lulu Liu, (unknown), Guoliang Shao, (unknown), Yongbo Yang, Peipei Pang	1
20	Predicting the Development of Normal-Appearing White Matter With Radiomics in the Aging Brain: A Longitudinal Clinical Study 2018 ·Frontiers in Aging Neuroscience ·(unknown), Zhonghua Chen, (unknown), Qin Ye, Zhenyu Shu, (unknown), Peipei Pang, Xiangyang Gong	37

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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