Po‐Ting Chen

898 citations

41 papers · 603 · h-index 12

Impact in

Health Informatics top 10%
Radiology, Nuclear Medicine and Imaging top 5%
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI

Papers in

Radiology, Nuclear Medicine and Imaging 9
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 4
Oncology 10
- Pancreatic and Hepatic Oncology Research 9

Co-authors: Kao‐Lang Liu (22 shared papers)Weichung Wang (12 shared papers)Wei‐Chih Liao (10 shared papers)Ming‐Shiang Wu (6 shared papers)Holger R. Roth (6 shared papers)Tinghui Wu (6 shared papers)Yu‐Hsiang Tsai (1 shared paper)Po‐Chuan Wang (5 shared papers)
Journals: Scientific Reports (3 papers)Archives of Physical Medicine and Rehabilitation (3 papers)Gastroenterology (2 papers)IEEE Transactions on Device and Materials Reliability (2 papers)Endocrine Connections (1 paper)
Partner nations: Taiwan United States Japan

In The Last Decade

Po‐Ting Chen

35 papers receiving 592 citations

Peers

Countries citing papers authored by Po‐Ting Chen

Since Specialization

Citations

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

Fields of papers citing papers by Po‐Ting Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Po‐Ting Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Po‐Ting Chen Line = papers co-authored together Po‐Ting Chen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation The Lancet Digital Health ·Kao‐Lang Liu, Tinghui Wu, Po‐Ting Chen, Yu‐Hsiang Tsai, Holger R. Roth, Ming‐Shiang Wu, Wei‐Chih Liao, Weichung Wang	2020	163
2	Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study Radiology ·Po‐Ting Chen, Tinghui Wu, Po‐Chuan Wang, Dawei Chang, Kao‐Lang Liu, Ming‐Shiang Wu, Holger R. Roth, Wen‐Jeng Lee, Wei‐Chih Liao, Weichung Wang	2022	106
3	Radiomic Features at CT Can Distinguish Pancreatic Cancer from Noncancerous Pancreas Radiology Imaging Cancer ·Po‐Ting Chen, Dawei Chang, Hui-Hsuan Yen, Kao‐Lang Liu, Suyun Huang, H Roth, Ming‐Shiang Wu, Wei‐Chih Liao, Weichung Wang	2021	45
4	Polyhydroxycurcuminoids but not curcumin upregulate neprilysin and can be applied to the prevention of Alzheimer’s disease Scientific Reports ·Po‐Ting Chen, Zih-ten Chen, Wen‐Chi Hou, Lung-Chih Yu, Rita P.‐Y. Chen	2016	40
5	Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning Lecture notes in computer science ·Po‐Chuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po‐Ting Chen, Kao‐Lang Liu, Wei‐Chih Liao, Weichung Wang, Kensaku Mori	2020	25
6	Multi-task Federated Learning for Heterogeneous Pancreas Segmentation Lecture notes in computer science ·Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou‐Shann Fuh, Po‐Ting Chen, Kao‐Lang Liu, Wei‐Chih Liao, Kensaku Mori	2021	23
7	A highly sensitive peptide substrate for detecting two Aβ-degrading enzymes: Neprilysin and insulin-degrading enzyme Journal of Neuroscience Methods ·Po‐Ting Chen, Tai‐Yan Liao, Chaur‐Jong Hu, Shu-Ting Wu, Steven S.‐S. Wang, Rita P.‐Y. Chen	2010	18
8	Degradation Mechanism of Poly-Si TFTs Dynamically Operated in OFF Region IEEE Electron Device Letters ·Ya‐Hsiang Tai, Shih‐Che Huang, Po‐Ting Chen	2009	16
9	Structural Investigation of Park’s Nucleotide on Bacterial Translocase MraY: Discovery of Unexpected MraY Inhibitors Scientific Reports ·Kuo‐Ting Chen, Po‐Ting Chen, Cheng‐Kun Lin, Lin‐Ya Huang, Chia‐Ming Hu, Yi‐Fan Chang, Hua-Ting Hsu, Ting-Jen Rachel Cheng, Ying‐Ta Wu, Wei‐Chieh Cheng	2016	13
10	Characterization of the Channel-Shortening Effect on P-Type Poly-Si TFTs IEEE Transactions on Device and Materials Reliability ·Ya‐Hsiang Tai, Shih‐Che Huang, Po‐Ting Chen	2009	13
11	Efficacy and hepatic complications of three endovascular treatment approaches for delayed postpancreatectomy hemorrhage: evolution over 15 years CVIR Endovascular ·Yu-Chien Chang, Kao‐Lang Liu, Yucheng Huang, Po‐Ting Chen, Yu‐Wen Tien, Yen-Heng Lin, Yeun‐Chung Chang	2019	12
12	Computed tomography predict regression of coronary artery aneurysm in patients with Kawasaki disease Journal of the Formosan Medical Association ·Po‐Ting Chen, Ming‐Tai Lin, Yih‐Sharng Chen, Shyh‐Jye Chen, Mei‐Hwan Wu	2017	12
13	Radiomics utilization to differentiate nonfunctional adenoma in essential hypertension and functional adenoma in primary aldosteronism Scientific Reports ·Po‐Ting Chen, Dawei Chang, Kao‐Lang Liu, Wei‐Chih Liao, Weichung Wang, Chin‐Chen Chang, Vin‐Cent Wu, Yen‐Hung Lin	2022	12
14	Optimizing adrenal vein sampling in primary aldosteronism subtyping through LC–MS/MS and secretion ratios of aldosterone, 18-oxocortisol, and 18-hydroxycortisol Hypertension Research ·Yu‐Ling Chang, Guan‐Yuan Chen, Bo‐Ching Lee, Po‐Ting Chen, Kao‐Lang Liu, Chin‐Chen Chang, Te−I Weng, Vin‐Cent Wu, Yen‐Hung Lin, (unknown)	2023	10
15	Generalized Hot-Carrier Degradation and Its Mechanism in Poly-Si TFTs Under DC/AC Operations IEEE Transactions on Device and Materials Reliability ·Ya‐Hsiang Tai, Shih‐Che Huang, Po‐Ting Chen, Chih‐Jung Lin	2011	10
16	Evaluation of Abdominal Computed Tomography Scans for Differentiating the Discrepancies in Abdominal Adipose Tissue Between Two Major Subtypes of Primary Aldosteronism Frontiers in Endocrinology ·Kuan-Ming Chen, Bo‐Ching Lee, Po‐Ting Chen, Kao‐Lang Liu, Kuan‐Heng Lin, Chin‐Chen Chang, Tung-Hsin Wu, Jia-Sheng Hong, Yen‐Hung Lin	2021	8
17	Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world dataset BMC Cancer ·Dawei Chang, Po‐Ting Chen, Po‐Chuan Wang, Tinghui Wu, Andre Yanchen Yeh, Wen‐Jeng Lee, Yi-Hui Sung, Kao‐Lang Liu, Ming‐Shiang Wu, Dong Heon Yang, H Roth, Wei‐Chih Liao, Weichung Wang	2023	8
18	Applications of artificial intelligence in pancreatic and biliary diseases Journal of Gastroenterology and Hepatology ·Po‐Ting Chen, Dawei Chang, Tinghui Wu, Ming‐Shiang Wu, Weichung Wang, Wei‐Chih Liao	2021	8
19	Significant Heterogeneity and Slow Dynamics of the Unfolded Ubiquitin Detected by the Line Confocal Method of Single-Molecule Fluorescence Spectroscopy The Journal of Physical Chemistry B ·Masataka Saito, Supawich Kamonprasertsuk, Satomi Suzuki, Kei Nanatani, Hiroyuki Oikawa, Keiichiro Kushiro, Madoka Takai, Po‐Ting Chen, (unknown), Rita P.‐Y. Chen, Satoshi Takahashi	2016	7
20	Machine Learning Model with Computed Tomography Radiomics and Clinicobiochemical Characteristics Predict the Subtypes of Patients with Primary Aldosteronism Academic Radiology ·Po‐Ting Chen, Pei-Yan Li, Kao‐Lang Liu, Vin‐Cent Wu, Yen‐Hung Lin, Shih‐Chieh Chueh, Chung‐Ming Chen, Chin‐Chen Chang	2023	6

About Po‐Ting Chen

Po‐Ting Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Endocrinology, Diabetes and Metabolism, Surgery and Molecular Medicine, having authored 41 papers that have together received 603 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (9 papers), Hormonal Regulation and Hypertension (5 papers), COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers), Thin-Film Transistor Technologies (3 papers), Adrenal and Paraganglionic Tumors (3 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (206 citations), Oncology (222 citations), Artificial Intelligence (187 citations) and Neurology (36 citations). Po‐Ting Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Kao‐Lang Liu, Weichung Wang, Wei‐Chih Liao, Ming‐Shiang Wu, Holger R. Roth, Tinghui Wu, Yu‐Hsiang Tsai, Po‐Chuan Wang, Rita P.‐Y. Chen and Shih‐Che Huang. Their work appears in journals such as Scientific Reports, Archives of Physical Medicine and Rehabilitation, Gastroenterology, IEEE Transactions on Device and Materials Reliability and Endocrine Connections.

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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