Nan Mei

851 total citations · 1 hit paper
24 papers, 546 citations indexed

About

Nan Mei is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology. According to data from OpenAlex, Nan Mei has authored 24 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Neurology and 6 papers in Epidemiology. Recurrent topics in Nan Mei's work include Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and MRI in cancer diagnosis (5 papers). Nan Mei is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and MRI in cancer diagnosis (5 papers). Nan Mei collaborates with scholars based in China, United Kingdom and Australia. Nan Mei's co-authors include Bo Yin, Xuanxuan Li, Yiping Lu, Anling Xiao, Yajing Zhao, Dongdong Wang, Daoying Geng, Tianye Jia, Chu‐Chung Huang and Pu‐Yeh Wu and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Magnetic Resonance Imaging and European Radiology.

In The Last Decade

Nan Mei

21 papers receiving 537 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cerebral Micro-Structural Changes in COVID-19 Patients – An MRI-based 3-month Follow-up Study

2020 417 citations Yiping Lu, Xuanxuan Li et al. EClinicalMedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nan Mei China	8	375	150	119	117	102	24	546
Yajing Zhao China	7	375 1.0×	147 1.0×	119 1.0×	88 0.8×	100 1.0×	15	493
Anling Xiao China	5	370 1.0×	150 1.0×	119 1.0×	80 0.7×	102 1.0×	12	475
Jacques‐Yves Campion France	7	368 1.0×	111 0.7×	123 1.0×	38 0.3×	104 1.0×	11	440
Mathieu Queneau France	8	173 0.5×	47 0.3×	59 0.5×	113 1.0×	51 0.5×	21	333
Akram A. Hosseini United Kingdom	11	226 0.6×	36 0.2×	46 0.4×	107 0.9×	31 0.3×	38	719
Anna S. Nordvig United States	10	444 1.2×	187 1.2×	147 1.2×	10 0.1×	72 0.7×	18	569
Umberto Pensato Italy	15	200 0.5×	90 0.6×	55 0.5×	13 0.1×	21 0.2×	61	589
Hu Guo China	12	125 0.3×	41 0.3×	45 0.4×	83 0.7×	29 0.3×	42	392
José Antonio Arias Navalón Spain	8	309 0.8×	103 0.7×	146 1.2×	14 0.1×	70 0.7×	21	459
Christine Greer United States	9	236 0.6×	112 0.7×	56 0.5×	31 0.3×	10 0.1×	12	552

Countries citing papers authored by Nan Mei

Since Specialization

Citations

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

Fields of papers citing papers by Nan Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Mei

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mei, Nan, et al.. (2024). Identifying heavy metal sources and health risks in soil-vegetable systems of fragmented vegetable fields based on machine learning, positive matrix factorization model and Monte Carlo simulation. Journal of Hazardous Materials. 478. 135481–135481. 15 indexed citations

Deng, Yalan, Yiping Lu, Xuanxuan Li, et al.. (2024). Prediction of human epidermal growth factor receptor 2 (HER2) status in breast cancer by mammographic radiomics features and clinical characteristics: a multicenter study. European Radiology. 34(8). 5464–5476. 8 indexed citations

Zhao, Lingxiao, Yajing Zhao, Yiping Lu, et al.. (2023). Multicenter Study of the Utility of Convolutional Neural Network and Transformer Models for the Detection and Segmentation of Meningiomas. Journal of Computer Assisted Tomography. 48(3). 480–490.

Mei, Nan, Yiping Lu, Shan Yang, et al.. (2023). Oligodendrocyte Transcription Factor 2 as a Potential Prognostic Biomarker of Glioblastoma: Kaplan-Meier Analysis and the Development of a Binary Predictive Model Based on Visually Accessible Rembrandt Image and Magnetic Resonance Imaging Radiomic Features. Journal of Computer Assisted Tomography. 47(4). 650–658. 2 indexed citations

Li, Xuanxuan, Yiping Lu, Li Liu, et al.. (2023). Predicting peritumoral edema development after gamma knife radiosurgery of meningiomas using machine learning methods: a multicenter study. European Radiology. 33(12). 8912–8924. 6 indexed citations

Han, Qiu-Yue, Yiping Lu, Dongdong Wang, et al.. (2023). Glioblastomas with and without peritumoral fluid-attenuated inversion recovery (FLAIR) hyperintensity present morphological and microstructural differences on conventional MR images. European Radiology. 33(12). 9139–9151. 2 indexed citations

Liu, Xiujuan, et al.. (2023). Distinct MRI characteristics of spinal cord diffuse midline glioma, H3 K27-altered in comparison to spinal cord glioma without H3 K27-alteration and demyelination disorder. Acta Radiologica. 65(3). 284–293. 2 indexed citations

Han, Qiu-Yue, Yiping Lu, Dongdong Wang, et al.. (2022). Assessment of dynamic hepatic and renal imaging changes in COVID-19 survivors using T1 mapping and IVIM-DWI. Abdominal Radiology. 47(5). 1817–1827. 3 indexed citations

Zhao, Yajing, Yiping Lu, Peng Li, et al.. (2022). A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR images. Computers in Biology and Medicine. 151(Pt A). 106279–106279. 8 indexed citations

10.

Li, Xuanxuan, Yajing Zhao, Yiping Lu, et al.. (2022). Performances of clinical characteristics and radiological findings in identifying COVID-19 from suspected cases. BMC Medical Imaging. 22(1). 55–55. 1 indexed citations

11.

Zhu, Yi‐Cheng, et al.. (2022). Differentiation of transverse sinus thrombosis from congenitally atretic transverse sinus with time-resolved contrast-enhanced magnetic resonance angiography. Clinical Radiology. 77(5). e372–e378. 3 indexed citations

12.

Mei, Nan, Yiping Lu, Ji Xiong, et al.. (2022). A Comparative and Summative Study of Radiomics-based Overall Survival Prediction in Glioblastoma Patients. Journal of Computer Assisted Tomography. 46(3). 470–479. 7 indexed citations

13.

Liu, Li, et al.. (2021). Correlation of DCE-MRI Perfusion Parameters and Molecular Biology of Breast Infiltrating Ductal Carcinoma. Frontiers in Oncology. 11. 561735–561735. 10 indexed citations

14.

Zhao, Yajing, Dongdong Wang, Nan Mei, et al.. (2021). Longitudinal Radiological Findings in Patients With COVID-19 With Different Severities: From Onset to Long-Term Follow-Up After Discharge. Frontiers in Medicine. 8. 711435–711435. 10 indexed citations

15.

Xiao, Anling, Ling Zhang, Chao Zhang, et al.. (2021). Triage Modeling for Differential Diagnosis Between COVID-19 and Human Influenza A Pneumonia: Classification and Regression Tree Analysis. Frontiers in Medicine. 8. 673253–673253. 4 indexed citations

16.

Zheng, Yingyan, Anling Xiao, Xiangrong Yu, et al.. (2020). Development and Validation of a Prognostic Nomogram Based on Clinical and CT Features for Adverse Outcome Prediction in Patients with COVID-19. Korean Journal of Radiology. 21(8). 1007–1007. 20 indexed citations

17.

Lu, Yiping, Nan Mei, Yun Xiong, et al.. (2020). The usage of deep neural network improves distinguishing COVID-19 from other suspected viral pneumonia by clinicians on chest CT: a real-world study. European Radiology. 31(6). 3864–3873. 16 indexed citations

18.

Lu, Yiping, Xuanxuan Li, Daoying Geng, et al.. (2020). Letter response to the brain after COVID-19: Compensatory neurogenesis or persistent neuroinflammation?. EClinicalMedicine. 31. 100687–100687. 2 indexed citations

19.

Lu, Yiping, Xuanxuan Li, Daoying Geng, et al.. (2020). Cerebral Micro-Structural Changes in COVID-19 Patients – An MRI-based 3-month Follow-up Study. EClinicalMedicine. 25. 100484–100484. 417 indexed citations breakdown →

20.

Ranieri, Federico, et al.. (1970). [Activity of mechanoreceptors of the peritoneum and intestine in the splanchnic region. Microphysiologic study at the level of the spinal ganglia in cats].. PubMed. 62 Suppl 3. 363–363. 2 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.

Explore authors with similar magnitude of impact