Si‐Wa Chan

1.3k total citations
44 papers, 879 citations indexed

About

Si‐Wa Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Si‐Wa Chan has authored 44 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 18 papers in Artificial Intelligence. Recurrent topics in Si‐Wa Chan's work include AI in cancer detection (18 papers), Digital Radiography and Breast Imaging (14 papers) and MRI in cancer diagnosis (13 papers). Si‐Wa Chan is often cited by papers focused on AI in cancer detection (18 papers), Digital Radiography and Breast Imaging (14 papers) and MRI in cancer diagnosis (13 papers). Si‐Wa Chan collaborates with scholars based in Taiwan, United States and South Korea. Si‐Wa Chan's co-authors include Jeon‐Hor Chen, Min‐Ying Su, Orhan Nalcioğlu, Muqing Lin, Rita S. Mehta, Ke Nie, Daniel Chow, Shadfar Bahri, Tiffany C. Kwong and Dah‐Cherng Yeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Roentgenology.

In The Last Decade

Si‐Wa Chan

41 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Si‐Wa Chan Taiwan 15 530 369 296 98 96 44 879
Amy Lu United States 10 393 0.7× 491 1.3× 436 1.5× 78 0.8× 132 1.4× 21 724
Kanae K. Miyake Japan 18 806 1.5× 503 1.4× 216 0.7× 75 0.8× 195 2.0× 60 1.3k
Goshi Oda Japan 15 504 1.0× 376 1.0× 87 0.3× 91 0.9× 95 1.0× 63 796
Gordon S. Abrams United States 13 433 0.8× 506 1.4× 504 1.7× 53 0.5× 165 1.7× 17 748
Neha Bhooshan United States 12 355 0.7× 222 0.6× 227 0.8× 86 0.9× 163 1.7× 28 773
Michael Z. Liu United States 19 640 1.2× 427 1.2× 151 0.5× 104 1.1× 82 0.9× 44 991
Jonas Teuwen Netherlands 15 962 1.8× 671 1.8× 268 0.9× 78 0.8× 120 1.3× 62 1.4k
Vittorio Didonna Italy 17 520 1.0× 419 1.1× 138 0.5× 124 1.3× 89 0.9× 33 726
Thomas de Bel Netherlands 10 459 0.9× 641 1.7× 245 0.8× 83 0.8× 159 1.7× 16 1.0k
Hans Pinckaers Netherlands 12 477 0.9× 608 1.6× 217 0.7× 102 1.0× 150 1.6× 20 899

Countries citing papers authored by Si‐Wa Chan

Since Specialization
Citations

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

Fields of papers citing papers by Si‐Wa Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si‐Wa Chan. 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 Si‐Wa Chan. The network helps show where Si‐Wa Chan may publish in the future.

Co-authorship network of co-authors of Si‐Wa Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Si‐Wa Chan. A scholar is included among the top collaborators of Si‐Wa Chan 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 Si‐Wa Chan. Si‐Wa Chan 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.
Zhang, Yang, Si‐Wa Chan, Vivian Youngjean Park, et al.. (2020). Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non–Fat-Sat Images and Tested on Fat-Sat Images. Academic Radiology. 29. S135–S144. 50 indexed citations
2.
Zhang, Yang, Jeon‐Hor Chen, Yezhi Lin, et al.. (2020). Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers. European Radiology. 31(4). 2559–2567. 102 indexed citations
3.
Chen, Jeon‐Hor, et al.. (2019). Evaluation of breast stiffness measured by ultrasound and breast density measured by MRI using a prone-supine deformation model. Biomarker Research. 7(1). 20–20. 12 indexed citations
4.
Zhang, Yang, Jeon‐Hor Chen, Vivian Youngjean Park, et al.. (2019). Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net. Academic Radiology. 26(11). 1526–1535. 77 indexed citations
5.
Chan, Si‐Wa, Yen‐Chieh Ouyang, Yu‐Tzu Chang, et al.. (2019). Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques. BioMed Research International. 2019. 1–15. 8 indexed citations
6.
Chan, Si‐Wa, Jeon‐Hor Chen, Ruey‐Feng Chang, et al.. (2017). Evaluation of the association between quantitative mammographic density and breast cancer occurred in different quadrants. BMC Cancer. 17(1). 274–274. 30 indexed citations
7.
Chen, Jeon‐Hor, et al.. (2016). Opportunistic Breast Density Assessment in Women Receiving Low-dose Chest Computed Tomography Screening. Academic Radiology. 23(9). 1154–1161. 10 indexed citations
8.
Chen, Jeon‐Hor, Yan‐Wei Lee, Si‐Wa Chan, Dah‐Cherng Yeh, & Ruey‐Feng Chang. (2016). Breast Density Analysis with Automated Whole-Breast Ultrasound: Comparison with 3-D Magnetic Resonance Imaging. Ultrasound in Medicine & Biology. 42(5). 1211–1220. 16 indexed citations
9.
Hsieh, Shih‐Rong, et al.. (2015). Surgical Ligation of Bilateral Large Coronary Artery Fistula to Pulmonary Artery. JACC: Cardiovascular Interventions. 8(12). e203–e204. 1 indexed citations
10.
Chen, Jeon‐Hor, et al.. (2015). Quantification of Regional Breast Density in Four Quadrants Using 3D MRI—A Pilot Study. Translational Oncology. 8(4). 250–257. 5 indexed citations
11.
Lin, Muqing, Jeon‐Hor Chen, Xiaoyong Wang, et al.. (2013). Template‐based automatic breast segmentation on MRI by excluding the chest region. Medical Physics. 40(12). 122301–122301. 46 indexed citations
12.
Chen, Jeon‐Hor, Si‐Wa Chan, Yi‐Jui Liu, et al.. (2012). Consistency of breast density measured from the same women in four different MR scanners. Medical Physics. 39(8). 4886–4895. 8 indexed citations
13.
Chan, Si‐Wa, Min‐Ying Su, Muqing Lin, et al.. (2011). Menstrual Cycle–related Fluctuations in Breast Density Measured by Using Three-dimensional MR Imaging. Radiology. 261(3). 744–751. 31 indexed citations
14.
Lin, Yen‐Ting, I‐Chen Tsai, Wei-Lin Tsai, et al.. (2010). Comprehensive evaluation of patients suspected with deep vein thrombosis using indirect CT venography with multi-detector row technology: from protocol to interpretation. International journal of cardiac imaging. 26(S2). 311–322. 3 indexed citations
15.
Nie, Ke, Min‐Ying Su, Si‐Wa Chan, et al.. (2010). Age‐ and race‐dependence of the fibroglandular breast density analyzed on 3D MRI. Medical Physics. 37(6Part1). 2770–2776. 31 indexed citations
16.
Wong, Ho-Fai, et al.. (2009). Alternative option in the treatment of very small ruptured intracranial aneurysms. Surgical Neurology. 72. S41–S46. 14 indexed citations
17.
Lin, Yen‐Ting, I‐Chen Tsai, Wei-Lin Tsai, et al.. (2009). Comprehensive evaluation of CT pulmonary angiography for patients suspected of having pulmonary embolism. International journal of cardiac imaging. 26(S1). 111–120. 8 indexed citations
18.
Nie, Ke, Jeon‐Hor Chen, Si‐Wa Chan, et al.. (2008). Development of a quantitative method for analysis of breast density based on three‐dimensional breast MRI. Medical Physics. 35(12). 5253–5262. 137 indexed citations
19.
Hwang, Jen-I, et al.. (2007). Gastrointestinal Stromal Tumors: Computed Tomographic Features and Prediction of Malignant Risk from Computed Tomographic Imaging. Journal of the Chinese Medical Association. 70(9). 367–373. 14 indexed citations
20.
Chan, Si‐Wa, Jyh‐Wen Chai, Jen-I Hwang, & Tain Lee. (2004). Comparison of Breath-Holding Turbo Spin Echo and Expiratory-Triggered HASTE Sequences for Resovist-Enhanced MR Imaging of Liver Lesions. 29(6). 299–307. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Amy Lu Breakdown of academic impact, for papers by Kanae K. Miyake Breakdown of academic impact, for papers by Goshi Oda Breakdown of academic impact, for papers by Gordon S. Abrams Breakdown of academic impact, for papers by Neha Bhooshan Breakdown of academic impact, for papers by Michael Z. Liu Breakdown of academic impact, for papers by Jonas Teuwen Breakdown of academic impact, for papers by Vittorio Didonna Breakdown of academic impact, for papers by Thomas de Bel Breakdown of academic impact, for papers by Hans Pinckaers
Rankless by CCL
2026