Can Lai

517 total citations
51 papers, 331 citations indexed

About

Can Lai is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Can Lai has authored 51 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Surgery and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Can Lai's work include Neonatal and fetal brain pathology (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Can Lai is often cited by papers focused on Neonatal and fetal brain pathology (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Can Lai collaborates with scholars based in China, United States and New Zealand. Can Lai's co-authors include Dan Wu, Hongxi Zhang, Chengguo Hu, Jiaojiao Sun, Yi Zhang, Quan Wang, Hongxi Zhang, Junfen Fu, Shucai Zeng and Xiaoxia Shen and has published in prestigious journals such as NeuroImage, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Can Lai

41 papers receiving 322 citations

Peers

Countries citing papers authored by Can Lai

Since Specialization

Citations

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

Fields of papers citing papers by Can Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Lai

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Massive Deep Venous Thrombosis in a Child with Necrotizing Pneumonia Due to Mycoplasma Pneumonia Infection 2024 ·Infection and Drug Resistance ·(unknown), Guolan Huang, (unknown), (unknown), Can Lai, (unknown)	0
2	Brain abscess caused by Streptococcus pyogenes with atypical symptoms: a case report and literature review 2024 ·BMC Pediatrics ·Chun‐Zhen Hua, Zhipeng Shen, Mingming Zhou, Can Lai, Guannan Bai, Weizhong Gu, (unknown), (unknown), Wei‐Lin Hu, Qiang Shu	0
3	Effects of growth space limitation on allometry of Ficus spp. In urban habitats 2024 ·Journal of Cleaner Production ·(unknown), Wei Guo, (unknown), (unknown), (unknown), (unknown), Can Lai	0
4	Radiomic-based machine learning model for predicting the surgical risk in children with abdominal neuroblastoma 2023 ·World Journal of Pediatric Surgery ·Xuan Jia, Jiawei Liang, Xiaohui Ma, Wenqi Wang, Can Lai	0
5	Biomechanical and histomorphological analysis of the mandible in rats with chronic kidney disease 2023 ·Scientific Reports ·(unknown), Jun Chen, (unknown), (unknown), Can Lai, (unknown), (unknown), (unknown)	2
6	Congenital hepatoblastoma presenting with hepatic arteriovenous fistulas: a case report 2023 ·Frontiers in Pediatrics ·(unknown), (unknown), Chun Chen, (unknown), Can Lai, Chun Lin Wang	2
7	Application of amide proton transfer imaging to pretreatment risk stratification of childhood neuroblastoma: comparison with neuron-specific enolase 2023 ·Quantitative Imaging in Medicine and Surgery ·Xuan Jia, Wenqi Wang, Jiawei Liang, Xiaohui Ma, Weibo Chen, Dan Wu, Hongxi Zhang, (unknown), (unknown), Can Lai, Yi Zhang	2
8	Development and Validation of a Combined MRI Radiomics, Imaging and Clinical Parameter‐Based Machine Learning Model for Identifying Idiopathic Central Precocious Puberty in Girls 2023 ·Journal of Magnetic Resonance Imaging ·(unknown), Lingfeng Zhang, Ruifang Zhang, Chenyan Wang, (unknown), Can Lai, Yi Lü, Zhihan Yan	8
9	Development and validation of a nomogram for preoperative prediction of immature teratoma in children with teratoma: a retrospective, multicenter, diagnostic study 2023 ·Quantitative Imaging in Medicine and Surgery ·(unknown), (unknown), Jing Chen, (unknown), (unknown), Can Lai, Junfen Fu	0
10	Neoadjuvant transcatheter arterial chemoembolization and systemic chemotherapy for the treatment of undifferentiated embryonal sarcoma of the liver in children 2022 ·World Journal of Clinical Cases ·Min He, Jiabin Cai, Can Lai, Junqing Mao, (unknown), Zhonghai Guan, (unknown), Qiang Shu, Meidan Ying, Jinhu Wang	4
11	Extranasopharyngeal angiofibroma in children: A case report 2022 ·World Journal of Clinical Cases ·(unknown), Can Lai, Lei Wu, Yong Fu	3
12	Risk stratification of abdominal tumors in children with amide proton transfer imaging 2022 ·European Radiology ·Xuan Jia, Wenqi Wang, Jiawei Liang, (unknown), Weibo Chen, Dan Wu, Can Lai, Yi Zhang	6
13	Early Development and the Functional Correlation of Brain Structural Connectivity in Preterm-Born Infants 2022 ·Frontiers in Neuroscience ·Tingting Liu, Zhiyong Zhao, (unknown), (unknown), Ying Lv, Mingyan Li, Chai Ji, Can Lai, Hongxi Zhang, Dan Wu	2
14	Detecting neonatal acute bilirubin encephalopathy based on T1-weighted MRI images and learning-based approaches 2021 ·BMC Medical Imaging ·Miao Wu, Xiaoxia Shen, Can Lai, Weihao Zheng, (unknown), (unknown), (unknown), Tingting Liu, Dan Wu	10
15	Detecting acute bilirubin encephalopathy in neonates based on multimodal MRI with deep learning 2021 ·Pediatric Research ·Miao Wu, Xiaoxia Shen, Can Lai, (unknown), Zhiyong Zhao, Dan Wu	11
16	Breastfeeding improves dynamic reorganization of functional connectivity in preterm infants: a temporal brain network study 2020 ·Medical & Biological Engineering & Computing ·(unknown), Xinfen Xu, Hongxi Zhang, (unknown), (unknown), (unknown), Qiufang Li, Can Lai, Yu Sun	8
17	Age-specific optimization of T1-weighted brain MRI throughout infancy 2019 ·NeuroImage ·Hongxi Zhang, Can Lai, Ruibin Liu, Tingting Liu, (unknown), Kenichi Oishi, Yi Zhang, Dan Wu	6
18	Evolution of intramural duodenal hematomas on magnetic resonance imaging 2018 ·Pediatric Radiology ·(unknown), (unknown), (unknown), Can Lai, Junfen Fu	6
19	Eosinophilic gastroenteritis with involvement of the urinary bladder 2014 ·Pediatric Radiology ·(unknown), Can Lai, Li Yang	3
20	Comparison of magnetic resonance enterography, capsule endoscopy and gastrointestinal radiography of children with small bowel Crohn’s disease 2013 ·Experimental and Therapeutic Medicine ·Can Lai, (unknown), Ming Ma, Hongxi Zhang, Xuan Jia	13

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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