Jyh‐Cheng Chen

1.2k total citations
91 papers, 895 citations indexed

About

Jyh‐Cheng Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jyh‐Cheng Chen has authored 91 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Biomedical Engineering and 22 papers in Molecular Biology. Recurrent topics in Jyh‐Cheng Chen's work include Medical Imaging Techniques and Applications (42 papers), Advanced X-ray and CT Imaging (22 papers) and Advanced MRI Techniques and Applications (18 papers). Jyh‐Cheng Chen is often cited by papers focused on Medical Imaging Techniques and Applications (42 papers), Advanced X-ray and CT Imaging (22 papers) and Advanced MRI Techniques and Applications (18 papers). Jyh‐Cheng Chen collaborates with scholars based in Taiwan, China and United States. Jyh‐Cheng Chen's co-authors include Yen‐Yu Ian Shih, Yun‐Wei Lin, Jen‐Chung Ko, Hao‐Yu Zheng, Chen Chang, Po‐Yuan Chang, Ru‐Shi Liu, Hsin-Ell Wang, Kuan‐Hao Su and You‐Yin Chen and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Medical Imaging.

In The Last Decade

Jyh‐Cheng Chen

86 papers receiving 870 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jyh‐Cheng Chen Taiwan 17 389 219 194 76 64 91 895
Daisuke Itoh Japan 20 288 0.7× 147 0.7× 251 1.3× 12 0.2× 87 1.4× 76 1.1k
Katsumi Nakamura Japan 24 612 1.6× 285 1.3× 425 2.2× 22 0.3× 31 0.5× 106 1.8k
Jacob Hesterman United States 17 358 0.9× 178 0.8× 140 0.7× 111 1.5× 125 2.0× 43 960
Jie Fu China 20 267 0.7× 106 0.5× 236 1.2× 109 1.4× 41 0.6× 78 1.2k
Lin Pan China 16 204 0.5× 76 0.3× 227 1.2× 17 0.2× 40 0.6× 97 920
Zhiqiang Hu China 16 447 1.1× 115 0.5× 122 0.6× 144 1.9× 26 0.4× 39 890
Yoshiaki Kiuchi Japan 28 1.9k 4.9× 187 0.9× 466 2.4× 7 0.1× 100 1.6× 287 3.3k
Jason Bini United States 15 254 0.7× 86 0.4× 87 0.4× 58 0.8× 49 0.8× 31 749
Bao Yang China 15 105 0.3× 76 0.3× 61 0.3× 27 0.4× 22 0.3× 43 543
Yuan Yuan China 15 330 0.8× 48 0.2× 197 1.0× 6 0.1× 19 0.3× 50 1.0k

Countries citing papers authored by Jyh‐Cheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jyh‐Cheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyh‐Cheng Chen

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

All Works

20 of 20 papers shown
1.
Chen, Shijie, et al.. (2024). Deep Residual-in-Residual Model-Based PET Image Super-Resolution with Motion Blur. Electronics. 13(13). 2582–2582.
2.
Chen, Jyh‐Cheng, et al.. (2024). A simple and precise alignment calibration method for cone-beam computed tomography with the verifications. Physics in Medicine and Biology. 69(6). 65002–65002. 1 indexed citations
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Wang, Kuanyu & Jyh‐Cheng Chen. (2023). Neural Network Helps Determine the Hemorrhagic Risk of Cerebral Arteriovenous Malformation. Electronics. 12(20). 4241–4241. 1 indexed citations
7.
Wang, Yuhong, et al.. (2022). Virtual and real-world implementation of deep-learning-based image denoising model on projection domain in digital tomosynthesis and cone-beam computed tomography data. Biomedical Physics & Engineering Express. 8(6). 65021–65021. 1 indexed citations
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Zhao, Jie, et al.. (2022). Optimization of Spatial Resolution and Image Reconstruction Parameters for the Small-Animal Metis™ PET/CT System. Electronics. 11(10). 1542–1542. 1 indexed citations
10.
Kao, Yu‐Chieh Jill, et al.. (2022). Performance Evaluation of a PET of 7T Bruker Micro-PET/MR Based on NEMA NU 4-2008 Standards. Electronics. 11(14). 2194–2194. 7 indexed citations
11.
Shahid, Mohammad, et al.. (2020). Cascaded atrous dual attention U-Net for tumor segmentation. Multimedia Tools and Applications. 80(20). 30007–30031. 16 indexed citations
12.
Chen, Jyh‐Cheng, et al.. (2019). A Prototype Intraoral Periapical Sensor with High Frame Rates for a 2.5D Periapical Radiography System. Applied Bionics and Biomechanics. 2019. 1–9. 2 indexed citations
13.
Huang, Chih-Chia, Ya-Chi Chang, Yi‐Ling Tsai, et al.. (2014). Analysis of the Width of Vertical Root Fracture in Endodontically Treated Teeth by 2 Micro–Computed Tomography Systems. Journal of Endodontics. 40(5). 698–702. 34 indexed citations
14.
Su, Kuan‐Hao, et al.. (2011). Image segmentation and activity estimation for microPET 11C-raclopride images using an expectation-maximum algorithm with a mixture of Poisson distributions. Computerized Medical Imaging and Graphics. 35(5). 417–426. 2 indexed citations
15.
Yang, Yuwen, et al.. (2009). Evaluation of Respiratory Motion Effect on Defect Detection in Myocardial Perfusion SPECT: A Simulation Study. IEEE Transactions on Nuclear Science. 56(3). 671–676. 12 indexed citations
16.
Su, Kuan‐Hao, et al.. (2008). A novel blood-cell-two-compartment model for transferring a whole blood time activity curve to plasma in rodents. Computer Methods and Programs in Biomedicine. 92(3). 299–304. 3 indexed citations
17.
Yang, Bang‐Hung, et al.. (2008). Evaluation of reference tissue model and tissue ratio method for 5-HTT using [123I] ADAM tracer. Computer Methods and Programs in Biomedicine. 92(3). 294–298. 7 indexed citations
18.
Chang, Chia-Jung, Wen-Sheng Huang, Kuan‐Hao Su, & Jyh‐Cheng Chen. (2006). SEPARATION OF TWO RADIONUCLIDES IN SIMULTANEOUS DUAL-ISOTOPE IMAGING WITH INDEPENDENT COMPONENT ANALYSIS. Biomedical Engineering Applications Basis and Communications. 18(5). 264–269. 5 indexed citations
19.
Shih, Yen‐Yu Ian, Jyh‐Cheng Chen, & Ru‐Shi Liu. (2005). Development of wavelet de-noising technique for PET images. Computerized Medical Imaging and Graphics. 29(4). 297–304. 36 indexed citations
20.
Hwang, Jeng‐Jong, et al.. (2004). In vivo quantification by SPECT of [123I] ADAM bound to serotonin transporters in the brains of rabbits. Nuclear Medicine and Biology. 31(8). 995–1003. 3 indexed citations

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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