Yayuan Geng

511 total citations
21 papers, 358 citations indexed

About

Yayuan Geng is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Yayuan Geng has authored 21 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Yayuan Geng's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Advanced X-ray and CT Imaging (3 papers) and MRI in cancer diagnosis (2 papers). Yayuan Geng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Advanced X-ray and CT Imaging (3 papers) and MRI in cancer diagnosis (2 papers). Yayuan Geng collaborates with scholars based in China, United States and United Kingdom. Yayuan Geng's co-authors include Jingdong Ma, Lianzhong Zhang, Feng Ding, Peigang Ning, Gary Lu, Huishu Yuan, Jianfang Liu, Ning Lang, Lijuan Wan and Han Ouyang and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Magnetic Resonance Imaging and Neuroscience Letters.

In The Last Decade

Yayuan Geng

21 papers receiving 352 citations

Peers

Countries citing papers authored by Yayuan Geng

Since Specialization

Citations

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

Fields of papers citing papers by Yayuan Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yayuan Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Yayuan Geng. A scholar is included among the top collaborators of Yayuan Geng 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 Yayuan Geng. Yayuan Geng 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	Evaluation of the clinical application value of artificial intelligence in diagnosing head and neck aneurysms 2024 ·BMC Medical Imaging ·Yi Shen, (unknown), (unknown), Jian Song, Yayuan Geng, Jianying Li, (unknown), Xingwang Wu	1
2	Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma 2024 ·Journal of Cardiothoracic Surgery ·Yun Wang, (unknown), (unknown), Yanqing Ma, Shaofeng Duan, Yayuan Geng, (unknown), Wenting Tu, Yi Xiao, Li Fan, Shiyuan Liu	4
3	Predicting major adverse cardiovascular events within 3 years by optimization of radiomics model derived from pericoronary adipose tissue on coronary computed tomography angiography: a case-control study 2024 ·BMC Medical Imaging ·Rongrong Zhang, (unknown), Yayuan Geng, Xiao Gang Li, Yu Sun, Jie Hou, (unknown), (unknown), Libo Zhang, Benqiang Yang	3
4	Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence‐Free Survival in Hepatocellular Carcinoma 2023 ·Journal of Magnetic Resonance Imaging ·(unknown), (unknown), (unknown), Lei Cai, (unknown), (unknown), Zhijun Geng, (unknown), Xianyue Quan, Chao Zheng, Yayuan Geng, (unknown), Qiaoli Zheng, Jing Hou, (unknown), (unknown), Chuanmiao Xie	8
5	Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules 2023 ·Frontiers in Oncology ·Wenjun Huang, (unknown), Zhaobin Li, (unknown), (unknown), (unknown), Jing Zhang, (unknown), Yayuan Geng, Xiang Wang, Wenting Tu, Peng Dong, Shiyuan Liu, Fan Li	9
6	Automatic differentiation of ruptured and unruptured intracranial aneurysms on computed tomography angiography based on deep learning and radiomics 2023 ·Insights into Imaging ·(unknown), Rong Zeng, Yayuan Geng, (unknown), (unknown), Fei Yu, (unknown), Lei Lv, Chang Li, Bo Xue, Chuanming Li	13
7	Prediction of meningioma grade by constructing a clinical radiomics model nomogram based on magnetic resonance imaging 2023 ·Magnetic Resonance Imaging ·Tao Han, Xianwang Liu, (unknown), Zhendong Xu, Yayuan Geng, Bin Zhang, (unknown), Mengyuan Jing, (unknown)	7
8	Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment 2022 ·Cancer Imaging ·Dan Bao, (unknown), Yayuan Geng, Lin Li, (unknown), Ya Zhang, Lei Hu, Xinming Zhao, Yanfeng Zhao, Dehong Luo	17
9	Fine-Grained Assessment of COVID-19 Severity Based on Clinico-Radiological Data Using Machine Learning 2022 ·International Journal of Environmental Research and Public Health ·Haipeng Liu, Jiangtao Wang, Yayuan Geng, Kunwei Li, Han Wu, Jian Chen, Xiangfei Chai, Shaolin Li, Dingchang Zheng	3
10	Prediction of High‐Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods 2021 ·Journal of Magnetic Resonance Imaging ·Jianfang Liu, (unknown), (unknown), Chunjie Wang, Yayuan Geng, Ning Lang, Huishu Yuan	27
11	Vertebral MRI-based radiomics model to differentiate multiple myeloma from metastases: influence of features number on logistic regression model performance 2021 ·European Radiology ·Jianfang Liu, (unknown), (unknown), Yayuan Geng, Yan Liu, Hanqiang Ouyang, Ning Lang, Huishu Yuan	25
12	Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma 2021 ·Discover Oncology ·Dan Bao, Yanfeng Zhao, (unknown), (unknown), Yayuan Geng, Meng Lin, Lin Li, Xinming Zhao, (unknown)	12
13	Establishment of a Clinical Nomogram Model to Predict the Progression of COVID-19 to Severe Disease 2021 ·Therapeutics and Clinical Risk Management ·Changli Tu, Guojie Wang, Yayuan Geng, Na Guo, Ning Cui, Jing Liu	2
14	Differentiating Parkinson’s disease motor subtypes: A radiomics analysis based on deep gray nuclear lesion and white matter 2021 ·Neuroscience Letters ·Dong Sun, Xiaojia Wu, Yuwei Xia, (unknown), Yayuan Geng, (unknown), Wei Zhang, Dajing Guo, Chuanming Li	14
15	RadCloud—An Artificial Intelligence-Based Research Platform Integrating Machine Learning-Based Radiomics, Deep Learning, and Data Management 2021 ·Yayuan Geng, (unknown), Ran Zhang, Ying Chen, Yuwei Xia, Fang Wang, (unknown), (unknown), Xiangfei Chai	7
16	Radiomics Nomograms Based on Non‐enhanced MRI and Clinical Risk Factors for the Differentiation of Chondrosarcoma from Enchondroma 2021 ·Journal of Magnetic Resonance Imaging ·(unknown), (unknown), Hongbo Le, (unknown), Wenjuan Li, Yayuan Geng, Shaolin Li, Guobin Hong	32
17	Early prediction of severity in coronavirus disease (COVID-19) using quantitative CT imaging 2021 ·Clinical Imaging ·Kunwei Li, Xueguo Liu, Rowena Yip, David F. Yankelevitz, Claudia I. Henschke, Yayuan Geng, Yijie Fang, Wenjuan Li, Cunxue Pan, Xiaojun Chen, Peixin Qin, Yinghua Zhong, Kunfeng Liu, Shaolin Li	12
18	Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics 2020 ·European Radiology ·(unknown), Lianzhong Zhang, Peigang Ning, Feng Ding, (unknown), Gary Lu, Yayuan Geng, Jingdong Ma	89
19	MRI-based delta-radiomics are predictive of pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer 2020 ·Academic Radiology ·Lijuan Wan, Wenjing Peng, Shuangmei Zou, Feng Ye, Yayuan Geng, Han Ouyang, Xinming Zhao, Hongmei Zhang	49
20	2020 ·arXiv (Cornell University) ·(unknown), Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Bei Liu, Yayuan Geng, Xiangfei Chai, Jian Chen, KunWei Li, Shaolin Li, Sumi Helal	23

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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