Jeon‐Hor Chen

4.7k total citations
128 papers, 3.5k citations indexed

About

Jeon‐Hor Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jeon‐Hor Chen has authored 128 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Artificial Intelligence and 39 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jeon‐Hor Chen's work include MRI in cancer diagnosis (51 papers), AI in cancer detection (40 papers) and Radiomics and Machine Learning in Medical Imaging (30 papers). Jeon‐Hor Chen is often cited by papers focused on MRI in cancer diagnosis (51 papers), AI in cancer detection (40 papers) and Radiomics and Machine Learning in Medical Imaging (30 papers). Jeon‐Hor Chen collaborates with scholars based in Taiwan, United States and South Korea. Jeon‐Hor Chen's co-authors include Min‐Ying Su, Orhan Nalcioğlu, Hon J. Yu, Ke Nie, Ruey‐Feng Chang, Chiun‐Sheng Huang, Rita S. Mehta, Si‐Wa Chan, Shadfar Bahri and Muqing Lin and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Annals of Surgery.

In The Last Decade

Jeon‐Hor Chen

127 papers receiving 3.5k citations

Peers

Countries citing papers authored by Jeon‐Hor Chen

Since Specialization

Citations

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

Fields of papers citing papers by Jeon‐Hor Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeon‐Hor Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Radiomics analysis for the prediction of locoregional recurrence of locally advanced oropharyngeal cancer and hypopharyngeal cancer 2023 ·European Archives of Oto-Rhino-Laryngology ·Te‐Chang Wu, (unknown), Jeon‐Hor Chen, Tai-Yuan Chen, Ching‐Chung Ko, Chiao‐Yun Lin, (unknown), Lee‐Ren Yeh, Min‐Ying Su	2
2	Non‐Contrast‐Enhanced MR Arteriography of Potential Living‐Related Liver Donor: Using Contrast Enhanced CT Arteriography as Standard Reference 2022 ·Journal of Magnetic Resonance Imaging ·Wei‐Ching Lin, Chun‐Ming Chen, Antonio C. Westphalen, Tzu‐Yang Lin, (unknown), Li‐Kuang Chen, Chia‐Wei Lin, Chun‐Chieh Yeh, Jiaxin Yu, Long‐Bin Jeng, Jeon‐Hor Chen	2
3	Intravoxel Incoherent Motion‐Diffusion‐Weighted MRI for Investigation of Delayed Graft Function Immediately after Kidney Transplantation 2022 ·BioMed Research International ·(unknown), (unknown), (unknown), (unknown), Hao‐Chung Ho, Hsian‐Min Chen, (unknown), Kuo‐Hsiung Shu, Jeon‐Hor Chen, Jyh‐Wen Chai	6
4	Pre-operative MRI Radiomics for the Prediction of Progression and Recurrence in Meningiomas 2021 ·Frontiers in Neurology ·Ching‐Chung Ko, Yang Zhang, Jeon‐Hor Chen, Kai‐Ting Chang, Tai-Yuan Chen, Sher-Wei Lim, Te‐Chang Wu, Min‐Ying Su	33
5	Correlation of internal carotid artery diameter and carotid flow with asymmetry of the circle of Willis 2020 ·BMC Neurology ·Te‐Chang Wu, Tai-Yuan Chen, Ching‐Chung Ko, Jeon‐Hor Chen, Ching‐Po Lin	8
6	Impact of Different Analytic Approaches on the Analysis of the Breast Fibroglandular Tissue Using Diffusion Weighted Imaging 2017 ·BioMed Research International ·Yoon Jung Choi, Jeon‐Hor Chen, Hon J. Yu, Yifan Li, Min‐Ying Su	3
7	Adult‐to‐adult living donor liver transplantation preoperative survey using MDCT, a single medical center experience in Taiwan 2017 ·The Kaohsiung Journal of Medical Sciences ·(unknown), Siu‐Wan Hung, (unknown), Yen‐Ting Lin, Jeon‐Hor Chen, Shao‐Bin Cheng, Clayton Chi‐Chang Chen	1
8	Primary Renal Rhabdomyosarcoma in an Adolescent With Tumor Thrombosis in the Inferior Vena Cava and Right Atrium 2016 ·Medicine ·Wei‐Ching Lin, Jeon‐Hor Chen, Antonio C. Westphalen, (unknown), I‐Ping Chiang, Cheng‐Hong Chen, Hsi‐Chin Wu, Chien‐Heng Lin	8
9	Quantification of breast tumor heterogeneity for ER status, HER2 status, and TN molecular subtype evaluation on DCE-MRI 2016 ·Magnetic Resonance Imaging ·Ruey‐Feng Chang, Honghao Chen, Yeun‐Chung Chang, Chiun‐Sheng Huang, Jeon‐Hor Chen, Chung‐Ming Lo	74
10	Tumor detection in automated breast ultrasound images using quantitative tissue clustering 2014 ·Medical Physics ·Woo Kyung Moon, Chung‐Ming Lo, Rong‐Tai Chen, Yiwei Shen, Jung Min Chang, Chiun‐Sheng Huang, Jeon‐Hor Chen, Wei‐Wen Hsu, Ruey‐Feng Chang	51
11	Template‐based automatic breast segmentation on MRI by excluding the chest region 2013 ·Medical Physics ·Muqing Lin, Jeon‐Hor Chen, Xiaoyong Wang, Si‐Wa Chan, Siping Chen, Min‐Ying Su	46
12	Automatic detection of microcalcifications in breast ultrasound 2013 ·Medical Physics ·Ruey‐Feng Chang, (unknown), Chiun‐Sheng Huang, Jeon‐Hor Chen, Jung Min Chang, Woo Kyung Moon	10
13	Diagnostic Performance of Magnetic Resonance Imaging for Assessing Tumor Response in Patients With HER2-Negative Breast Cancer Receiving Neoadjuvant Chemotherapy is Associated With Molecular Biomarker Profile 2012 ·Clinical Breast Cancer ·(unknown), Jeon‐Hor Chen, Shadfar Bahri, Rita S. Mehta, Philip M. Carpenter, (unknown), Hon J. Yu, David Hsiang, Karen Lane, John Butler, Stephen A. Feig, Min‐Ying Su	31
14	Comparison of breast density measured on MR images acquired using fat‐suppressed versus nonfat‐suppressed sequences 2011 ·Medical Physics ·Daniel Chang, Jeon‐Hor Chen, Muqing Lin, Shadfar Bahri, Hon J. Yu, Rita S. Mehta, Ke Nie, David Hsiang, Orhan Nalcioğlu, Min‐Ying Su	27
15	Reduction of breast density following tamoxifen treatment evaluated by 3-D MRI: preliminary study 2010 ·Magnetic Resonance Imaging ·Jeon‐Hor Chen, Yeun‐Chung Chang, Daniel Chang, Yi‐Ting Wang, Ke Nie, Ruey‐Feng Chang, Orhan Nalcioğlu, Chiun‐Sheng Huang, Min‐Ying Su	36
16	Comparative study of density analysis using automated whole breast ultrasound and MRI 2010 ·Medical Physics ·Woo Kyung Moon, Yiwei Shen, Chiun‐Sheng Huang, (unknown), (unknown), Jeon‐Hor Chen, Ruey‐Feng Chang	35
17	Quantitative analysis of breast parenchymal patterns using 3D fibroglandular tissues segmented based on MRI 2009 ·Medical Physics ·Ke Nie, Daniel Chang, Jeon‐Hor Chen, (unknown), Orhan Nalcioğlu, Min‐Ying Su	25
18	Significance of breast lesion descriptors in the ACR BI‐RADS MRI lexicon 2009 ·Cancer ·Garima Agrawal, Min‐Ying Su, Orhan Nalcioğlu, Stephen A. Feig, Jeon‐Hor Chen	90
19	Estrogen receptor and breast MR imaging features: A correlation study 2008 ·Journal of Magnetic Resonance Imaging ·Jeon‐Hor Chen, Hyeon‐Man Baek, Orhan Nalcioğlu, Min‐Ying Su	56
20	Computer-Aided Dianosis of Liver Tumors in Non-Enganced CT Images 2004 ·Yu-Len Huang, Jeon‐Hor Chen, Wu‐Chung Shen	5

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.

Explore authors with similar magnitude of impact