Chii-Jen Chen

495 total citations
21 papers, 370 citations indexed

About

Chii-Jen Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chii-Jen Chen has authored 21 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chii-Jen Chen's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Peripheral Nerve Disorders (4 papers). Chii-Jen Chen is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Peripheral Nerve Disorders (4 papers). Chii-Jen Chen collaborates with scholars based in Taiwan, South Korea and Japan. Chii-Jen Chen's co-authors include Ruey‐Feng Chang, Dar‐Ren Chen, Woo Kyung Moon, Shou-Jen Kuo, Shou-Tung Chen, Wei-Liang Chen, Yi-Shiung Horng, Yu‐Sen Huang, Hsin‐Ming Chen and Jin‐Yuan Shih and has published in prestigious journals such as Radiology, Ultrasound in Medicine & Biology and Computers in Biology and Medicine.

In The Last Decade

Chii-Jen Chen

21 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chii-Jen Chen Taiwan 9 172 166 120 51 38 21 370
Ioannis Boniatis Greece 10 132 0.8× 103 0.6× 154 1.3× 77 1.5× 57 1.5× 20 328
Pingjun Chen United States 11 239 1.4× 176 1.1× 284 2.4× 83 1.6× 53 1.4× 23 629
Anna Karahaliou Greece 12 395 2.3× 216 1.3× 319 2.7× 60 1.2× 19 0.5× 27 622
Cai Chang China 14 330 1.9× 117 0.7× 315 2.6× 68 1.3× 30 0.8× 39 548
Arne Juette United Kingdom 8 199 1.2× 72 0.4× 246 2.0× 55 1.1× 26 0.7× 21 347
Andrea Guerriero Italy 10 81 0.5× 81 0.5× 75 0.6× 41 0.8× 27 0.7× 28 268
Bingjiang Qiu China 12 194 1.1× 104 0.6× 149 1.2× 120 2.4× 38 1.0× 23 484
Shujun Liang China 9 309 1.8× 105 0.6× 182 1.5× 72 1.4× 25 0.7× 20 467
Dominic Kennedy Australia 10 177 1.0× 63 0.4× 41 0.3× 27 0.5× 98 2.6× 21 389
Guanghua Tan China 13 84 0.5× 113 0.7× 96 0.8× 33 0.6× 15 0.4× 46 348

Countries citing papers authored by Chii-Jen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chii-Jen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chii-Jen Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chii-Jen Chen. A scholar is included among the top collaborators of Chii-Jen 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 Chii-Jen Chen. Chii-Jen 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.
Chou, Yi‐Hong, et al.. (2023). Breast Tumor Classification using Short-ResNet with Pixel-based Tumor Probability Map in Ultrasound Images. Ultrasonic Imaging. 45(2). 74–84. 1 indexed citations
2.
Chen, Chii-Jen, et al.. (2022). Ultrasonographical Evaluation of the Median Nerve Mobility in Carpal Tunnel Syndrome: A Systematic Review and Meta-Analysis. Diagnostics. 12(10). 2349–2349. 4 indexed citations
3.
Chen, Chii-Jen, Hsin‐Ming Chen, Jin‐Yuan Shih, et al.. (2021). Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning. Computerized Medical Imaging and Graphics. 91. 101935–101935. 29 indexed citations
4.
Liu, Chien-Ting, et al.. (2021). Effects of wrist extension on median nerve and flexor tendon excursions in patients with carpal tunnel syndrome: a case control study. BMC Musculoskeletal Disorders. 22(1). 477–477. 7 indexed citations
5.
Chen, Chii-Jen, et al.. (2021). Influence of temperature on sonographic images of the median nerve for the diagnosis of carpal tunnel syndrome: a case control study. BMC Medical Imaging. 21(1). 163–163. 4 indexed citations
6.
Chen, Chii-Jen, Hsin‐Ming Chen, Jin‐Yuan Shih, et al.. (2021). Multi-energy level fusion for nodal metastasis classification of primary lung tumor on dual energy CT using deep learning. Computers in Biology and Medicine. 141. 105185–105185. 15 indexed citations
7.
Chang, Ruey‐Feng, et al.. (2020). MNT-DeepSL: Median nerve tracking from carpal tunnel ultrasound images with deep similarity learning and analysis on continuous wrist motions. Computerized Medical Imaging and Graphics. 80. 101687–101687. 18 indexed citations
8.
Chen, Chii-Jen, et al.. (2015). Segmentation of median nerve by greedy active contour detection framework on strain ultrasound images. Tamkang University Institutional Repository (TKUIR). 6(2). 371–378. 1 indexed citations
9.
Chen, Chii-Jen, et al.. (2014). The Lobe Fissure Tracking by the Modified Ant Colony Optimization Framework in CT Images. Algorithms. 7(4). 635–649. 1 indexed citations
10.
Chen, Chii-Jen, et al.. (2014). A Study on Captcha Recognition. 395–398. 7 indexed citations
11.
Chen, Chii-Jen, et al.. (2011). A Preoperative 3D Computer-Aided Diagnosis System for Lung Tumor. 38. 279–282. 1 indexed citations
12.
Chen, Chii-Jen, Ruey‐Feng Chang, & Dar‐Ren Chen. (2009). Automatic Tumor Diagnosis for Breast Ultrasound Using 3D Sub-volume Registration. 61–68. 2 indexed citations
13.
Chang, Ruey‐Feng, et al.. (2007). Tamper Detection and Recovery for Medical Images Using Near-lossless Information Hiding Technique. Journal of Digital Imaging. 21(1). 59–76. 78 indexed citations
14.
Chang, Ruey‐Feng, et al.. (2006). Image stitching and computer-aided diagnosis for whole breast ultrasound image. International Journal of Computer Assisted Radiology and Surgery. 1. 340–343. 7 indexed citations
15.
Chen, Chii-Jen, et al.. (2006). 2-D ultrasound strain images for breast cancer diagnosis using nonrigid subregion registration. Ultrasound in Medicine & Biology. 32(6). 837–846. 7 indexed citations
16.
Chang, Ruey‐Feng, Chii-Jen Chen, Etsuo Takada, Yi‐Hong Chou, & Dar‐Ren Chen. (2006). Image stitching for three-pass whole breast ultrasound. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6147. 61470L–61470L. 2 indexed citations
17.
Chen, Dar‐Ren, Ruey‐Feng Chang, Chii-Jen Chen, et al.. (2005). Classification of breast ultrasound images using fractal feature. Clinical Imaging. 29(4). 235–245. 107 indexed citations
18.
Chang, Ruey‐Feng, et al.. (2005). Region-based image retrieval using edgeflow segmentation and region adjacency graph. 1883–1886. 11 indexed citations
19.
Chen, Dar‐Ren, et al.. (2004). Three-dimensional ultrasound in margin evaluation for breast tumor excision using Mammotome®. Ultrasound in Medicine & Biology. 30(2). 169–179. 10 indexed citations
20.
Chang, Ruey‐Feng, Chii-Jen Chen, Ming-Feng Ho, Dar‐Ren Chen, & Woo Kyung Moon. (2004). Breast ultrasound image classification using fractal analysis. 100–107. 12 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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