Chen Luo

778 total citations
27 papers, 571 citations indexed

About

Chen Luo is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chen Luo has authored 27 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chen Luo's work include Advanced X-ray and CT Imaging (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Imaging Techniques and Applications (10 papers). Chen Luo is often cited by papers focused on Advanced X-ray and CT Imaging (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Imaging Techniques and Applications (10 papers). Chen Luo collaborates with scholars based in China, United States and Canada. Chen Luo's co-authors include Tianye Niu, Pengfei Yang, Lei Xu, Yangkang Jiang, Mi Huang, Yan Wu, Jing Wang, Zhaoming Ye, Peng Lin and Binghao Li and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Chen Luo

27 papers receiving 567 citations

Peers

Countries citing papers authored by Chen Luo

Since Specialization

Citations

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

Fields of papers citing papers by Chen Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Luo. A scholar is included among the top collaborators of Chen Luo 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 Chen Luo. Chen Luo 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	AMANet: An Adaptive Memory Attention Network for video cloud detection 2024 ·Pattern Recognition ·Chen Luo, (unknown), (unknown), Yunming Ye, Yong Xu, Xutao Li, Baoquan Zhang	2
2	UBES: Unified scatter correction using ultrafast Boltzmann equation solver for conebeam CT 2024 ·Computers in Biology and Medicine ·Tianye Niu, Lei Xu, (unknown), (unknown), Chen Luo, (unknown), (unknown), Mingchao Ding, Jiayi Xie, Hongbin Han, (unknown)	3
3	A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis 2023 ·Gastroenterology Research and Practice ·(unknown), (unknown), Yifan Tong, Jie He, Shufeng Xu, Xi Hu, Chen Luo, Lei Xu, Feng Guo, (unknown), (unknown)	2
4	Causal Robust Trajectory Prediction Against Adversarial Attacks for Autonomous Vehicles 2023 ·IEEE Internet of Things Journal ·(unknown), Ruyan Wang, Yaping Cui, Peng He, Chen Luo	2
5	Virtual differential phase‐contrast and dark‐field imaging of x‐ray absorption images via deep learning 2023 ·Bioengineering & Translational Medicine ·(unknown), Pengfei Yang, Zhao Wu, Chen Luo, Peng Jin, Zhili Wang, (unknown), Yongsheng Huang, Tianye Niu	7
6	Prediction of neoadjuvant chemotherapy response in high-grade osteosarcoma: added value of non-tumorous bone radiomics using CT images 2021 ·Quantitative Imaging in Medicine and Surgery ·Lei Xu, Pengfei Yang, Kun Hu, Yan Wu, Meng Xu‐Welliver, (unknown), Chen Luo, Jing Wang, Jinhua Wang, Jiale Qin, Yi Rong, Tianye Niu	13
7	Integrating intratumoral and peritumoral features to predict tumor recurrence in intrahepatic cholangiocarcinoma 2021 ·Physics in Medicine and Biology ·Lei Xu, (unknown), Chen Luo, Jing Yang, Pengfei Yang, Feng Chen, Jing Wang, Tianye Niu	20
8	Deep neural network-based approach to improving radiomics analysis reproducibility in liver cancer: effect on image resampling 2021 ·Physics in Medicine and Biology ·Pengfei Yang, Lei Xu, (unknown), Jing Yang, Yi Xue, Yangkang Jiang, Chen Luo, Jing Wang, Tianye Niu	3
9	Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint 2021 ·IEEE Transactions on Medical Imaging ·Yi Xue, Wenjian Qin, Chen Luo, Pengfei Yang, Yangkang Jiang, (unknown), Hongjian He, Li Wang, Jiale Qin, Yaoqin Xie, Tianye Niu	12
10	A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma 2020 ·Cancer Imaging ·Peng Lin, Pengfei Yang, Shi Chen, (unknown), Lei Xu, Yan Wu, Wangsiyuan Teng, Xingzhi Zhou, Binghao Li, Chen Luo, (unknown), Mi Huang, Tianye Niu, Zhaoming Ye	93
11	Image domain multi-material decomposition using single energy CT 2020 ·Physics in Medicine and Biology ·Yi Xue, Chen Luo, Yangkang Jiang, Pengfei Yang, Xi Hu, (unknown), Jing Wang, Xiuhua Hu, Ke Sheng, Tianye Niu	6
12	Extracting and Selecting Robust Radiomic Features from PET/MR Images in Nasopharyngeal Carcinoma 2020 ·Molecular Imaging and Biology ·Pengfei Yang, Lei Xu, (unknown), (unknown), Yi Xue, Yangkang Jiang, (unknown), Chen Luo, Jing Wang, Yi Rong, Tianye Niu	21
13	Feasibility of predicting pancreatic neuroendocrine tumor grade using deep features from unsupervised learning 2020 ·(unknown), (unknown), Pengfei Yang, (unknown), Chen Luo, Xiaoyong Shen, Yan Wu, Dan Ruan, Tianye Niu	2
14	Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN) 2019 ·Physics in Medicine and Biology ·Yangkang Jiang, Chunlin Yang, Pengfei Yang, Xi Hu, Chen Luo, Yi Xue, Lei Xu, Xiuhua Hu, Luhan Zhang, Jing Wang, Ke Sheng, Tianye Niu	50
15	A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma 2019 ·Theranostics ·Lei Xu, Pengfei Yang, Wenjie Liang, (unknown), (unknown), Chen Luo, Jing Wang, Zhiyi Peng, Lei Xing, Mi Huang, Shusen Zheng, Tianye Niu	124
16	A multi-organ cancer study of the classification performance using 2D and 3D image features in radiomics analysis 2019 ·Physics in Medicine and Biology ·Lei Xu, Pengfei Yang, (unknown), (unknown), Yangkang Jiang, (unknown), Xiaoyong Shen, Yan Wu, Jing Wang, Chen Luo, Tianye Niu	45
17	Accurate Multi-Material Decomposition in Dual-Energy CT: A Phantom Study 2019 ·IEEE Transactions on Computational Imaging ·(unknown), Xiaonan Sun, Xiuhua Hu, Ke Sheng, Tianye Niu, Yangkang Jiang, Chunlin Yang, (unknown), Jing Wang, Chen Luo, Luhan Zhang, Catherine Desrosiers, Kun Feng	15
18	Survival Prediction in High-grade Osteosarcoma Using Radiomics of Diagnostic Computed Tomography 2018 ·EBioMedicine ·Yan Wu, Lei Xu, Pengfei Yang, Nong Lin, Xin Huang, Weibo Pan, Hengyuan Li, Peng Lin, Binghao Li, Varitsara Bunpetch, Chen Luo, Yangkang Jiang, Disheng Yang, Mi Huang, Tianye Niu, Zhaoming Ye	90
19	Cone-Beam Computed Tomography Deblurring Using an Overrelaxed Chambolle-Pock Algorithm 2018 ·IEEE Access ·Chen Luo, Qiao Liu, (unknown), Chunlin Yang, Xiuhua Hu, Ke Nie, Tianye Niu	2
20	The realization of Matlab by image coding compression algorithm on DCT 2011 ·Electronic Design Engineering ·Chen Luo	1

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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