Charlene Liew

748 total citations
15 papers, 521 citations indexed

About

Charlene Liew is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Biomedical Engineering. According to data from OpenAlex, Charlene Liew has authored 15 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Health Informatics and 3 papers in Biomedical Engineering. Recurrent topics in Charlene Liew's work include Cardiac Imaging and Diagnostics (4 papers), Advanced MRI Techniques and Applications (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Charlene Liew is often cited by papers focused on Cardiac Imaging and Diagnostics (4 papers), Advanced MRI Techniques and Applications (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Charlene Liew collaborates with scholars based in Singapore, United States and Egypt. Charlene Liew's co-authors include Tiong Yong Tan, Andrew Makmur, Soon Yiew Sia, Stephanie Fook‐Chong, Warren J. Manning, Tamer Basha, Long Ngo, Reza Nezafat, Heng Wai Yuen and Francesca N. Delling and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Charlene Liew

14 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charlene Liew Singapore 11 336 208 98 81 44 15 521
Junaid Bajwa United Kingdom 2 206 0.6× 379 1.8× 125 1.3× 64 0.8× 38 0.9× 4 683
Usman Munir United States 5 207 0.6× 379 1.8× 128 1.3× 68 0.8× 40 0.9× 9 711
Vyas Kumar Rathaur India 7 210 0.6× 286 1.4× 155 1.6× 62 0.8× 65 1.5× 19 679
Christopher A. Lovejoy United Kingdom 9 306 0.9× 335 1.6× 238 2.4× 65 0.8× 48 1.1× 14 844
Jane Scheetz Australia 13 659 2.0× 180 0.9× 80 0.8× 26 0.3× 23 0.5× 31 924
Pranavsingh Dhunnoo Ireland 4 253 0.8× 400 1.9× 210 2.1× 113 1.4× 30 0.7× 7 673
Stephen Waite United States 13 429 1.3× 85 0.4× 72 0.7× 97 1.2× 55 1.3× 25 678
K. Elizabeth Hawk United States 10 329 1.0× 139 0.7× 107 1.1× 101 1.2× 42 1.0× 18 569
Dongcui Wang China 10 693 2.1× 75 0.4× 130 1.3× 76 0.9× 29 0.7× 31 1.1k
Jeremy Irvin United States 10 132 0.4× 91 0.4× 109 1.1× 29 0.4× 37 0.8× 18 504

Countries citing papers authored by Charlene Liew

Since Specialization
Citations

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

Fields of papers citing papers by Charlene Liew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlene Liew. 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 Charlene Liew. The network helps show where Charlene Liew may publish in the future.

Co-authorship network of co-authors of Charlene Liew

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

All Works

15 of 15 papers shown
1.
Liu, Nan, Gilbert Lim, Daniel Shu Wei Ting, et al.. (2023). Application of a deep learning algorithm in the detection of hip fractures. iScience. 26(8). 107350–107350. 15 indexed citations
2.
Liew, Charlene, et al.. (2022). Multimodality Imaging in the Diagnosis and Assessment of Cardiac Amyloidosis. SHILAP Revista de lepidopterología. 21(3). 173–183. 5 indexed citations
3.
Liew, Charlene, et al.. (2022). Ensemble Image Explainable AI (XAI) Algorithm for Severe Community-Acquired Pneumonia and COVID-19 Respiratory Infections. IEEE Transactions on Artificial Intelligence. 4(2). 242–254. 46 indexed citations
4.
Quah, Jessica, et al.. (2021). Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia. BMJ Open Respiratory Research. 8(1). e001045–e001045. 17 indexed citations
5.
Tsou, I Y Y, et al.. (2020). Planning and coordination of the radiological response to the coronavirus disease 2019 (COVID-19) pandemic: the Singapore experience. Clinical Radiology. 75(6). 415–422. 34 indexed citations
6.
Liew, Charlene, et al.. (2020). Artificial Intelligence: A Singapore Response. Annals of the Academy of Medicine Singapore. 49(4). 256–258.
7.
8.
Liew, Charlene. (2018). The future of radiology augmented with Artificial Intelligence: A strategy for success. European Journal of Radiology. 102. 152–156. 173 indexed citations
9.
Liew, Charlene, et al.. (2018). Accuracy and clinical outcomes of coronary CT angiography for patients with suspected coronary artery disease: a single-centre study in Singapore. Singapore Medical Journal. 59(8). 413–418. 3 indexed citations
10.
Liew, Charlene, et al.. (2017). Cochlear duct length–one size fits all?. American Journal of Otolaryngology. 38(2). 218–221. 29 indexed citations
11.
Liew, Charlene, et al.. (2017). Cardiovascular implantable electronic devices: a review of the dangers and difficulties in MR scanning and attempts to improve safety. Insights into Imaging. 8(4). 405–418. 16 indexed citations
12.
Basha, Tamer, Mehmet Akçakaya, Charlene Liew, et al.. (2017). Clinical performance of high‐resolution late gadolinium enhancement imaging with compressed sensing. Journal of Magnetic Resonance Imaging. 46(6). 1829–1838. 45 indexed citations
13.
Basha, Tamer, Ravi V. Shah, Venkatesh L. Murthy, et al.. (2016). Reproducibility of myocardial T1 and T2 relaxation time measurement using slice‐interleaved T1 and T2 mapping sequences. Journal of Magnetic Resonance Imaging. 44(5). 1159–1167. 10 indexed citations
14.
Liew, Charlene, et al.. (2012). Finding nemo: imaging findings, pitfalls, and complications of ingested fish bones in the alimentary canal. Emergency Radiology. 20(4). 311–322. 27 indexed citations
15.
Gaillard, William D., Madison M. Berl, Elizabeth S. Duke, et al.. (2011). fMRI language dominance and FDG-PET hypometabolism. Neurology. 76(15). 1322–1329. 19 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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2026