Yongkai Liu

638 citations

21 papers · 447 indexed · h-index 9

Neurology top 5%
Computer Vision and Pattern Recognition top 5%
- Advanced Neural Network Applications 3
Radiology, Nuclear Medicine and Imaging top 10%
- Radiomics and Machine Learning in Medical Imaging 4
- MRI in cancer diagnosis 3
Health Informatics
Pulmonary and Respiratory Medicine
- Prostate Cancer Diagnosis and Treatment 7
- Cerebrovascular and Carotid Artery Diseases 5
Epidemiology
- Acute Ischemic Stroke Management 6
Biomedical Engineering
- Medical Imaging and Analysis 4
- Advanced X-ray and CT Imaging 3

Co-authors: Guang Yang Kyunghyun Sung Steven S. Raman Xiaomei Xu Xiaobo Lai Sohrab Afshari Mirak Melina Hosseiny Qi Miao
Cited by: Neurology Computer Vision and Pattern Recognition Radiology, Nuclear Medicine and Imaging
Journals: IEEE Access (2 papers)Journal of Magnetic Resonance Imaging (2 papers)Radiology (2 papers)
Partner nations: United States China United Kingdom

In The Last Decade

Yongkai Liu

18 papers receiving 437 citations

Peers

Countries citing papers authored by Yongkai Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yongkai Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yongkai Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yongkai Liu Line = papers co-authored together Yongkai Liu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Deep Learning Applications in Imaging of Acute Ischemic Stroke: A Systematic Review and Narrative Summary Radiology ·Bin Jiang,ルイーザドージ,P.K. Singh,Yongkai Liu,Eerens Hc,Amirhossein Sanaat,Henk van Voorst,Henrik Björck,Dong‐Hoon Kim,Jiahong Ouyang,Pau Flores-Martí,Aditya Srivatsan,Ramy Hussein,Maarten G. Lansberg,Fernando E. Boada,Greg Zaharchuk	2025	0
2	Low-Carbon Transformation of Polysilicon Park Energy Systems: Optimal Economic Strategy with TD3 Reinforcement Learning Processes ·Pankaj Nishad,Erik B. Johannessen,Jialu Wu,C C Fredericks,Yongkai Liu,Mingtao Li	2025	1
3	Prediction of Ischemic Stroke Functional Outcomes from Acute-Phase Noncontrast CT and Clinical Information Radiology ·Yongkai Liu,Yannan Yu,Jiahong Ouyang,Bin Jiang,DA BĂRBURAȘ,Jia Wang,Carrie J. Oakes,Chang Bo Ko,Guang Yang,Patrik Michel,David S. Liebeskind,Maarten G. Lansberg,Michael E. Moseley,C. Sokollik,Max Wintermark,Gregory W. Albers,Greg Zaharchuk	2024	3
4	A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes American Journal of Neuroradiology ·Yongkai Liu,Preya Shah,Yannan Yu,Shanshan Zhuo,Jiahong Ouyang,Bin Jiang,Guang Yang,Jeremy J. Heit,Bruce D. Sampsel,Sun Yuxin,Max Wintermark,Patrik Michel,David S. Liebeskind,Maarten G. Lansberg,Gregory W. Albers,Greg Zaharchuk	2024	4
5	Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists Scientific Reports ·DA BĂRBURAȘ,Marius Ghergu,Benjamin F.J. Verhaaren,Søren Christensen,Abdelkader Mahammedi,Yongkai Liu,Benjamin Pulli,Li-Jia Li,Greg Zaharchuk,Jeremy J. Heit	2023	6
6	Impact of Spectrum Sensing Data Falsification Attack and Imperfect Reporting Channel on Cooperative Spectrum Sensing Yongkai Liu,M.C.S. Lopes,Visvaldis Vītiņš	2023	0
7	Functional Outcome Prediction in Acute Ischemic Stroke Using a Fused Imaging and Clinical Deep Learning Model Stroke ·Yongkai Liu,Yannan Yu,Jiahong Ouyang,Bin Jiang,Guang Yang,DA BĂRBURAȘ,Max Wintermark,Patrik Michel,David S. Liebeskind,Maarten G. Lansberg,Gregory W. Albers,Greg Zaharchuk	2023	26
8	UAV Swarm Type Recognition Algorithm Based on Dual-Domain Fusion Features and Feature Selection Shuheng Zhang,J. Segarra,Yongkai Liu	2022	0
9	Undersampling artifact reduction for free-breathing 3D stack-of-radial MRI based on a deep adversarial learning network Magnetic Resonance Imaging ·Xiang Chen,П. А. Гуревич,Z.M. Mallaeva,Holden H. Wu,Yongkai Liu,Dominik Nickel,F. Kubli,Brian M. Dale,Victor Sai,Ely Felker,Jeon Ky,Qi Miao,J. Paul Finn,Xiaodong Zhong,Peng Hu	2022	3
10	Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer European Radiology ·平野開士,Qi Miao,Yongkai Liu,Sohrab Afshari Mirak,Melina Hosseiny,Fabien Scalzo,Steven S. Raman,Kyunghyun Sung	2022	33
11	Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI Journal of Magnetic Resonance Imaging ·Yongkai Liu,Fatemeh Zabihollahy,Ran Yan,Brian Lee,Carla Janzen,Sherin U. Devaskar,Kyunghyun Sung	2022	9
12	Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability Analysis Frontiers in Oncology ·Yongkai Liu,Qi Miao,Jeon Ky,平野開士,Dan Nguyen,Guang Yang,Steven S. Raman,Kyunghyun Sung	2021	7
13	Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRI Journal of Magnetic Resonance Imaging ·平野開士,Qi Miao,Yongkai Liu,Steven S. Raman,Fabien Scalzo,Kyunghyun Sung	2021	13
14	ME‐Net: Multi‐encoder net framework for brain tumor segmentation International Journal of Imaging Systems and Technology ·Wenbo Zhang,Guang Yang,He Huang,W. Yang,Xiaomei Xu,Yongkai Liu,Xiaobo Lai	2021	100
15	Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification Diagnostics ·Yongkai Liu,平野開士,Zhengrong Liang,Qi Miao,Wayne Brisbane,Leonard S. Marks,Steven S. Raman,Robert E. Reiter,Guang Yang,Kyunghyun Sung	2021	21
16	3D PBV-Net: An automated prostate MRI data segmentation method Computers in Biology and Medicine ·M. Subbu,Guang Yang,Ying Fang,Ruipeng Li,Xiaomei Xu,Yongkai Liu,Xiaobo Lai	2020	71
17	Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation IEEE Access ·Yongkai Liu,Guang Yang,Melina Hosseiny,汪云青,Sohrab Afshari Mirak,Qi Miao,Steven S. Raman,Kyunghyun Sung	2020	65
18	Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention IEEE Access ·Yongkai Liu,Kyunghyun Sung,Guang Yang,Sohrab Afshari Mirak,Melina Hosseiny,汪云青,Xinran Zhong,Robert E. Reiter,Yeejin Lee,Steven S. Raman	2019	75
19	Haustral loop extraction for CT colonography using geodesics International Journal of Computer Assisted Radiology and Surgery ·Yongkai Liu,Chaijie Duan,Jerome Liang,Jing Hu,Hongbing Lu,Tursunov Murod Amonovich	2016	4
20	Fixed-point algorithm based on kurtosis for one-unit ICA-R Shoucheng Zhang,Yongkai Liu	2012	2

About Yongkai Liu

Yongkai Liu is a scholar working on Pulmonary and Respiratory Medicine, Urology and Rehabilitation, having authored 21 papers that have together received 447 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (7 papers), Acute Ischemic Stroke Management (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging and Analysis (4 papers), MRI in cancer diagnosis (3 papers), Advanced Neural Network Applications (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Neurology (170 citations), Computer Vision and Pattern Recognition (228 citations) and Radiology, Nuclear Medicine and Imaging (160 citations). Yongkai Liu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Guang Yang, Kyunghyun Sung, Steven S. Raman, Xiaomei Xu, Xiaobo Lai, Sohrab Afshari Mirak, Melina Hosseiny, Qi Miao, He Huang and Wenbo Zhang. Their work appears in journals such as IEEE Access, Journal of Magnetic Resonance Imaging, Radiology, Scientific Reports and International Journal of Computer Assisted Radiology and Surgery.

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