Alice Yu

1.2k total citations · 1 hit paper
21 papers, 745 citations indexed

About

Alice Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Alice Yu has authored 21 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Biomedical Engineering. Recurrent topics in Alice Yu's work include Advanced MRI Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MRI in cancer diagnosis (4 papers). Alice Yu is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and MRI in cancer diagnosis (4 papers). Alice Yu collaborates with scholars based in United States, Canada and China. Alice Yu's co-authors include John Eng, Bahram Mohajer, Chaitra Badve, Mark A. Griswold, Vikas Gulani, Mark Schluchter, Sara Dastmalchian, Shivani Pahwa, Yun Jiang and Seunghee Margevicius and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Alice Yu

19 papers receiving 735 citations

Hit Papers

External Validation of Deep Learning Algorithms for Radio... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alice Yu United States 12 522 110 108 80 76 21 745
Johannes Hofmanninger Austria 11 385 0.7× 229 2.1× 42 0.4× 96 1.2× 129 1.7× 14 564
Malgorzata Polacin Switzerland 10 273 0.5× 38 0.3× 119 1.1× 105 1.3× 140 1.8× 28 646
John A. Onofrey United States 15 610 1.2× 70 0.6× 94 0.9× 226 2.8× 104 1.4× 69 880
Florian Prayer Austria 11 413 0.8× 240 2.2× 36 0.3× 127 1.6× 100 1.3× 36 646
Nathaniel Swinburne United States 10 223 0.4× 114 1.0× 108 1.0× 70 0.9× 113 1.5× 18 512
Mariko Kawamura Japan 9 231 0.4× 49 0.4× 218 2.0× 61 0.8× 124 1.6× 19 473
Youmin Guo China 11 524 1.0× 73 0.7× 41 0.4× 69 0.9× 80 1.1× 33 600
Yueying Pan China 11 521 1.0× 159 1.4× 22 0.2× 94 1.2× 29 0.4× 23 1.1k
Reabal Najjar Australia 4 215 0.4× 50 0.5× 162 1.5× 116 1.4× 80 1.1× 6 390
Puneet Sharma United States 16 273 0.5× 208 1.9× 52 0.5× 60 0.8× 41 0.5× 43 904

Countries citing papers authored by Alice Yu

Since Specialization
Citations

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

Fields of papers citing papers by Alice Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alice Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Alice Yu. A scholar is included among the top collaborators of Alice Yu 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 Alice Yu. Alice Yu 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, Chao, et al.. (2025). trans-Ge/B 1,1-Hydroboration of Alkynylgermanes with 9-BBN. Organic Letters. 27(16). 4079–4084. 1 indexed citations
2.
Zhang, Lei, et al.. (2024). Aromatic Amino Acid-Dependent Surface Assembly of Amphiphilic Peptides for One-Step Graphite Exfoliation and Graphene Functionalization. The Journal of Physical Chemistry Letters. 15(25). 6611–6620.
4.
Zhang, Lei, Liang Yao, Feng Zhao, et al.. (2023). Protein and Peptide‐Based Nanotechnology for Enhancing Stability, Bioactivity, and Delivery of Anthocyanins. Advanced Healthcare Materials. 12(25). e2300473–e2300473. 45 indexed citations
5.
Yu, Alice, Bahram Mohajer, & John Eng. (2022). External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic Review. Radiology Artificial Intelligence. 4(3). e210064–e210064. 198 indexed citations breakdown →
6.
Kumar, Nagi B., Julio M. Pow‐Sang, Michael Poch, et al.. (2022). Effects of Green Tea Catechins on Prostate Cancer Chemoprevention: The Role of the Gut Microbiome. Cancers. 14(16). 3988–3988. 19 indexed citations
7.
Yi, Paul H., et al.. (2021). Your mileage may vary: impact of data input method for a deep learning bone age app’s predictions. Skeletal Radiology. 51(2). 423–429. 2 indexed citations
8.
Yu, Alice, Amirkasra Mojtahed, Nawar Hanna, et al.. (2021). Combination MRI-targeted and systematic prostate biopsy may overestimate gleason grade on final surgical pathology and impact risk stratification. Urologic Oncology Seminars and Original Investigations. 40(2). 59.e1–59.e5. 12 indexed citations
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Yi, Paul H., Abigail Lin, Jinchi Wei, et al.. (2019). Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks. Journal of Digital Imaging. 32(4). 565–570. 21 indexed citations
12.
Pahwa, Shivani, Hao Liu, Yong Chen, et al.. (2018). Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study. Scientific Reports. 8(1). 4990–4990. 13 indexed citations
13.
Chick, Jeffrey Forris Beecham, Shilpa Reddy, Alice Yu, et al.. (2017). Three-Dimensional Printing Facilitates Successful Endovascular Closure of a Type II Abernethy Malformation Using an Amplatzer Atrial Septal Occluder Device. Annals of Vascular Surgery. 43. 311.e15–311.e23. 9 indexed citations
14.
Partovi, Sasan, Dean Nakamoto, Alice Yu, et al.. (2017). Contrast-Enhanced Ultrasound for Guidance of Percutaneous Liver Interventions in Neoplastic Hepatic Disease. 1(3). 201–207. 1 indexed citations
15.
Yu, Alice, Chaitra Badve, Lee Ponsky, et al.. (2017). Development of a Combined MR Fingerprinting and Diffusion Examination for Prostate Cancer. Radiology. 283(3). 729–738. 126 indexed citations
16.
Badve, Chaitra, Alice Yu, Sara Dastmalchian, et al.. (2016). MR Fingerprinting of Adult Brain Tumors: Initial Experience. American Journal of Neuroradiology. 38(3). 492–499. 130 indexed citations
17.
Yu, Alice, et al.. (2015). Prognosis of complicated clinical course of varicose veins of lower extremities on the basis of analysis of phenotypic characteristics of connective tissue dysplasia. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Badve, Chaitra, Alice Yu, Dan Ma, et al.. (2015). Simultaneous T1 and T2 Brain Relaxometry in Asymptomatic Volunteers Using Magnetic Resonance Fingerprinting. Tomography. 1(2). 136–144. 63 indexed citations
19.
Chen, Yong, Gregory R. Lee, Katherine Landau Wright, et al.. (2015). Free-Breathing Liver Perfusion Imaging Using 3-Dimensional Through-Time Spiral Generalized Autocalibrating Partially Parallel Acquisition Acceleration. Investigative Radiology. 50(6). 367–375. 27 indexed citations
20.
Badve, Chaitra, Alice Yu, Dan Ma, et al.. (2014). NI-07 * MAGNETIC RESONANCE FINGERPRINTING OF BRAIN TUMORS: INITIAL CLINICAL RESULTS. Neuro-Oncology. 16(suppl 5). v139–v139. 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.

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