Felix Keng

679 total citations
15 papers, 327 citations indexed

About

Felix Keng is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Felix Keng has authored 15 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Biomedical Engineering. Recurrent topics in Felix Keng's work include Cardiac Imaging and Diagnostics (13 papers), Advanced MRI Techniques and Applications (5 papers) and Advanced X-ray and CT Imaging (5 papers). Felix Keng is often cited by papers focused on Cardiac Imaging and Diagnostics (13 papers), Advanced MRI Techniques and Applications (5 papers) and Advanced X-ray and CT Imaging (5 papers). Felix Keng collaborates with scholars based in Singapore, United States and China. Felix Keng's co-authors include Ru‐San Tan, James Sayre, Heinrich R. Schelbert, Takashi Kudo, Miguel Hernandez‐Pampaloni, Leslee J. Shaw, Adel H. Allam, Terrance Chua, Craig M. Pratt and Angela S. Koh and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Felix Keng

14 papers receiving 319 citations

Peers

Felix Keng
Salvatore Carbonaro United States
Marcus Flather United Kingdom
Millie Gomez United States
Romalisa Miranda United States
A. M. Sinha Germany
Dimitri Buytaert Belgium
Shant Manoushagian United States
Lowie Van Assche United States
Joan García‐Picart Spain
Einar Sagberg Norway
Salvatore Carbonaro United States
Felix Keng
Citations per year, relative to Felix Keng Felix Keng (= 1×) peers Salvatore Carbonaro

Countries citing papers authored by Felix Keng

Since Specialization
Citations

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

Fields of papers citing papers by Felix Keng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Keng

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Keng. A scholar is included among the top collaborators of Felix Keng 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 Felix Keng. Felix Keng 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.
Noort, Danny van, Liang Guo, Shuang Leng, et al.. (2024). Evaluating machine learning accuracy in detecting significant coronary stenosis using CCTA-derived fractional flow reserve: Meta-analysis and systematic review. IJC Heart & Vasculature. 55. 101528–101528. 2 indexed citations
2.
Loke, Kelvin Siu Hoong, et al.. (2020). Adapting to a novel disruptive threat: Nuclear Cardiology Service in the time of the Coronavirus (COVID-19) Outbreak 2020 (SARS REBOOT). Journal of Nuclear Cardiology. 27(3). 1005–1009. 8 indexed citations
3.
Koh, Angela S., et al.. (2017). Long-Term Prognostic Value of Appropriate Myocardial Perfusion Imaging. The American Journal of Cardiology. 119(12). 1957–1962. 6 indexed citations
4.
Zhang, Junmei, Liang Zhong, Tong Luo, et al.. (2016). Simplified Models of Non-Invasive Fractional Flow Reserve Based on CT Images. PLoS ONE. 11(5). e0153070–e0153070. 54 indexed citations
5.
Zhang, Junmei, Tong Luo, Swee Yaw Tan, et al.. (2015). Hemodynamic analysis of patient‐specific coronary artery tree. International Journal for Numerical Methods in Biomedical Engineering. 31(4). e02708–e02708. 35 indexed citations
6.
Tan, Swee Yaw, Nadira Hamid, Terrance Chua, et al.. (2012). THE ABSENCE OF SEVERE CORONARY STENOSIS (≥70%) ON CORONARY COMPUTED TOMOGRAPHIC ANGIOGRAPHY RELIABLY EXCLUDES MODERATE TO SEVERE ISCHEMIA ON MYOCARDIAL PERFUSION IMAGING. Journal of the American College of Cardiology. 59(13). E1334–E1334. 1 indexed citations
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Hamid, Nadira & Felix Keng. (2011). Refractory Hypoxia in Right Ventricular Infarction. Annals of the Academy of Medicine Singapore. 40(7). 325–326. 3 indexed citations
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Yang, Min-Fu, Felix Keng, & Zuo-Xiang He. (2009). Nitrate-augmented myocardial perfusion imaging for assessment of myocardial viability: recent advances. Nuclear Medicine Communications. 30(6). 415–419. 5 indexed citations
12.
Vítola, João V., Leslee J. Shaw, Adel H. Allam, et al.. (2009). Assessing the need for nuclear cardiology and other advanced cardiac imaging modalities in the developing world. Journal of Nuclear Cardiology. 16(6). 956–961. 46 indexed citations
13.
Mahmarian, John J., Habib A. Dakik, Neil Filipchuk, et al.. (2006). An Initial Strategy of Intensive Medical Therapy Is Comparable to That of Coronary Revascularization for Suppression of Scintigraphic Ischemia in High-Risk But Stable Survivors of Acute Myocardial Infarction. Journal of the American College of Cardiology. 48(12). 2458–2467. 78 indexed citations
14.
Hernandez‐Pampaloni, Miguel, Felix Keng, Takashi Kudo, James Sayre, & Heinrich R. Schelbert. (2001). Abnormal Longitudinal, Base-to-Apex Myocardial Perfusion Gradient by Quantitative Blood Flow Measurements in Patients With Coronary Risk Factors. Circulation. 104(5). 527–532. 57 indexed citations
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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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