Jinglei Lv

5.6k total citations
113 papers, 2.0k citations indexed

About

Jinglei Lv is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Jinglei Lv has authored 113 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Cognitive Neuroscience, 48 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Jinglei Lv's work include Functional Brain Connectivity Studies (84 papers), Neural dynamics and brain function (50 papers) and Advanced Neuroimaging Techniques and Applications (37 papers). Jinglei Lv is often cited by papers focused on Functional Brain Connectivity Studies (84 papers), Neural dynamics and brain function (50 papers) and Advanced Neuroimaging Techniques and Applications (37 papers). Jinglei Lv collaborates with scholars based in United States, China and Australia. Jinglei Lv's co-authors include Tianming Liu, Lei Guo, Xi Jiang, Junwei Han, Xintao Hu, Shu Zhang, Tuo Zhang, Xiang Li, Dajiang Zhu and Hanbo Chen and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Jinglei Lv

103 papers receiving 2.0k citations

Peers

Jinglei Lv

RNMI

ECP

PMH

NEURO

Nichols Thomas United Kingdom

Jesús Poza Spain

Jiayu Chen United States

Hao He United States

Jonas Richiardi Switzerland

Salima Makni France

Zhiguo Zhang China

Maria João Rosa United Kingdom

Archana Venkataraman United States

Lester Melie‐García Switzerland

Nichols Thomas United Kingdom

Jinglei Lv

1.5k ×1.0

813 ×1.1

RNMI

196 ×1.1

ECP

242 ×1.3

PMH

186 ×1.2

NEURO

Citations per year, relative to Jinglei Lv Jinglei Lv (= 1×) peers Nichols Thomas

Countries citing papers authored by Jinglei Lv

Since Specialization

Citations

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

Fields of papers citing papers by Jinglei Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglei Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglei Lv. A scholar is included among the top collaborators of Jinglei Lv 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 Jinglei Lv. Jinglei Lv 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

Liu, Tianming, et al.. (2025). Voxel-Level Brain States Prediction Using Swin Transformer. IEEE Journal of Biomedical and Health Informatics. 29(12). 8719–8726.

Wang, Kexin, et al.. (2025). Unveiling complex brain dynamics during movie viewing via deep recurrent autoencoder model. NeuroImage. 310. 121177–121177.

Lv, Jinglei, Christine C. Guo, Saskia Bollmann, et al.. (2025). An fMRI dataset for appetite neural correlates in people living with Motor Neuron Disease. Scientific Data. 12(1). 466–466.

Lv, Jinglei, et al.. (2025). Crossing the cultural bridge: The role of inhibitory control during second language metaphor comprehension. Bilingualism Language and Cognition. 28(5). 1393–1409.

Jiang, Xi, et al.. (2024). Deep Linear Matrix Approximate Reconstruction Reveals Reproducible Large-Scale Functional Connectivity Networks in the Human Brain. 59–63.

Yu, Tian, Leon Y. Cai, Salvatore Torrisi, et al.. (2023). Distortion correction of functional MRI without reverse phase encoding scans or field maps. Magnetic Resonance Imaging. 103. 18–27. 4 indexed citations

Yu, Sigang, Lin Zhao, Dajiang Zhu, et al.. (2023). MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Transactions on Biomedical Engineering. 71(5). 1442–1453. 15 indexed citations

Hu, Xintao, Yudan Ren, Jinglei Lv, et al.. (2023). Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching. NeuroImage. 279. 120316–120316. 9 indexed citations

Yuan, Jing, et al.. (2022). Control energy assessment of spatial interactions among macro‐scale brain networks. Human Brain Mapping. 43(7). 2181–2203. 5 indexed citations

10.

Zhang, Shu, Junxin Wang, Sigang Yu, et al.. (2022). An explainable deep learning framework for characterizing and interpreting human brain states. Medical Image Analysis. 83. 102665–102665. 14 indexed citations

11.

DeMayo, Marilena M., Jinglei Lv, Shantel L. Duffy, et al.. (2022). Hippocampal Neuronal Integrity and Functional Connectivity Within the Default Mode Network in Mild Cognitive Impairment: A Multimodal Investigation. Brain Connectivity. 13(3). 143–153. 1 indexed citations

12.

Ye, Hua, Andrew Zalesky, Jinglei Lv, et al.. (2021). Network Analysis of Symptom Comorbidity in Schizophrenia: Relationship to Illness Course and Brain White Matter Microstructure. Schizophrenia Bulletin. 47(4). 1156–1167. 12 indexed citations

13.

Biase, Maria A. Di, Andrew Zalesky, Suheyla Cetin‐Karayumak, et al.. (2020). Large-Scale Evidence for an Association Between Peripheral Inflammation and White Matter Free Water in Schizophrenia and Healthy Individuals. Schizophrenia Bulletin. 47(2). 542–551. 53 indexed citations

14.

Lv, Jinglei, Maria A. Di Biase, Robin Cash, et al.. (2020). Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort. Molecular Psychiatry. 26(7). 3512–3523. 86 indexed citations

15.

Cheng, Hong, et al.. (2020). Risk factors and the potential of nomogram for predicting hospital‐acquired pressure injuries. International Wound Journal. 17(4). 974–986. 15 indexed citations

16.

Dong, Qinglin, Fangfei Ge, Ning Qiang, et al.. (2019). Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Transactions on Biomedical Engineering. 67(6). 1739–1748. 31 indexed citations

17.

Lv, Jinglei, Xi Jiang, Xiang Li, et al.. (2015). Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data. Psychiatry Research Neuroimaging. 233(2). 254–268. 29 indexed citations

18.

Ge, Bao, Milad Makkie, Shijie Zhao, et al.. (2015). Signal sampling for efficient sparse representation of resting state FMRI data. Brain Imaging and Behavior. 10(4). 1206–1222. 14 indexed citations

19.

Hu, Xintao, et al.. (2013). A linear model for characterization of synchronization frequencies of neural networks. Cognitive Neurodynamics. 8(1). 55–69. 3 indexed citations

20.

Lv, Jinglei, et al.. (2004). A statistical test for the detection of auditory evoked potentials. 36(11). 1739–46. 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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