Qiongling Li

751 total citations
26 papers, 425 citations indexed

About

Qiongling Li is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Qiongling Li has authored 26 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Psychiatry and Mental health. Recurrent topics in Qiongling Li's work include Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (9 papers) and Dementia and Cognitive Impairment Research (6 papers). Qiongling Li is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (9 papers) and Dementia and Cognitive Impairment Research (6 papers). Qiongling Li collaborates with scholars based in China, United States and Netherlands. Qiongling Li's co-authors include Shuyu Li, Xinwei Li, Xuetong Wang, Ying Han, Deyu Li, Tongtong Che, Shaoyi Wang, Kun Zhao, Yuxia Li and Kuncheng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Qiongling Li

26 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiongling Li China 13 254 147 115 62 56 26 425
Abderazzak Mouiha Canada 11 150 0.6× 154 1.0× 129 1.1× 86 1.4× 56 1.0× 18 397
Nikhil Bhagwat Canada 10 176 0.7× 115 0.8× 111 1.0× 45 0.7× 36 0.6× 24 412
Sophia I. Thomopoulos United States 12 176 0.7× 232 1.6× 75 0.7× 35 0.6× 44 0.8× 67 465
Cecelia Manzanares United States 8 205 0.8× 82 0.6× 180 1.6× 42 0.7× 67 1.2× 14 467
Jorge L. Bernal-Rusiel United States 6 219 0.9× 165 1.1× 168 1.5× 104 1.7× 38 0.7× 6 471
Pradeep Reddy Raamana Canada 11 502 2.0× 206 1.4× 202 1.8× 71 1.1× 52 0.9× 25 737
Rosalía Dacosta‐Aguayo Spain 12 178 0.7× 125 0.9× 70 0.6× 63 1.0× 101 1.8× 27 461
Pamela LaMontagne United States 10 188 0.7× 158 1.1× 109 0.9× 36 0.6× 65 1.2× 34 485
Brendan I. Cohn‐Sheehy United States 13 293 1.2× 89 0.6× 194 1.7× 144 2.3× 33 0.6× 17 536
Madelaine Daianu United States 14 415 1.6× 352 2.4× 146 1.3× 145 2.3× 23 0.4× 25 634

Countries citing papers authored by Qiongling Li

Since Specialization
Citations

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

Fields of papers citing papers by Qiongling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiongling Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qiongling Li. A scholar is included among the top collaborators of Qiongling Li 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 Qiongling Li. Qiongling Li 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.
Xu, Yuehua, Xuhong Liao, Tianyuan Lei, et al.. (2024). Development of neonatal connectome dynamics and its prediction for cognitive and language outcomes at age 2. Cerebral Cortex. 34(5). 2 indexed citations
2.
Dong, Xiaoxi, Qiongling Li, Xuetong Wang, et al.. (2024). How brain structure–function decoupling supports individual cognition and its molecular mechanism. Human Brain Mapping. 45(2). e26575–e26575. 6 indexed citations
3.
Li, Qiongling, Mingrui Xia, Yuehua Xu, et al.. (2024). Development of segregation and integration of functional connectomes during the first 1,000 days. Cell Reports. 43(5). 114168–114168. 6 indexed citations
4.
Li, Qiongling, et al.. (2023). Functional gradients reveal altered functional segregation in patients with amnestic mild cognitive impairment and Alzheimer’s disease. Cerebral Cortex. 33(21). 10836–10847. 9 indexed citations
5.
Che, Tongtong, Xiuying Wang, Kun Zhao, et al.. (2023). AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images. Medical Image Analysis. 85. 102740–102740. 20 indexed citations
6.
Zhao, Kun, Qiang Zheng, Tongtong Che, et al.. (2021). Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis. Network Neuroscience. 5(3). 1–15. 40 indexed citations
7.
8.
Zhao, Yan, et al.. (2021). Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework. Journal of Biomedical Informatics. 125. 103978–103978. 15 indexed citations
9.
Li, Qiongling, Xuetong Wang, Xinwei Li, et al.. (2020). Structural Covariance Changes of Anterior and Posterior Hippocampus During Musical Training in Young Adults. Frontiers in Neuroanatomy. 14. 20–20. 5 indexed citations
10.
Wang, Xuetong, et al.. (2020). Robust multitask feature learning for amnestic mild cognitive impairment diagnosis based on multidimensional surface measures. SHILAP Revista de lepidopterología. 6. 100035–100035. 1 indexed citations
11.
Li, Qiongling, et al.. (2019). Dynamic reconfiguration of the functional brain network after musical training in young adults. Brain Structure and Function. 224(5). 1781–1795. 26 indexed citations
12.
Li, Xinwei, Qiongling Li, Xuetong Wang, Deyu Li, & Shuyu Li. (2018). Differential Age-Related Changes in Structural Covariance Networks of Human Anterior and Posterior Hippocampus. Frontiers in Physiology. 9. 518–518. 15 indexed citations
13.
Wang, Xuetong, Yang Yu, Weina Zhao, et al.. (2018). Altered Whole-Brain Structural Covariance of the Hippocampal Subfields in Subcortical Vascular Mild Cognitive Impairment and Amnestic Mild Cognitive Impairment Patients. Frontiers in Neurology. 9. 342–342. 24 indexed citations
14.
Yu, Kaixin, Xuetong Wang, Qiongling Li, et al.. (2018). Individual Morphological Brain Network Construction Based on Multivariate Euclidean Distances Between Brain Regions. Frontiers in Human Neuroscience. 12. 204–204. 34 indexed citations
15.
Wang, Xuetong, et al.. (2018). Correlation-Aware Sparse and Low-Rank Constrained Multi-Task Learning for Longitudinal Analysis of Alzheimer's Disease. IEEE Journal of Biomedical and Health Informatics. 23(4). 1450–1456. 21 indexed citations
16.
Li, Xinwei, Deyu Li, Qiongling Li, et al.. (2016). Hippocampal subfield volumetry in patients with subcortical vascular mild cognitive impairment. Scientific Reports. 6(1). 20873–20873. 56 indexed citations
17.
Li, Qiongling, Xinwei Li, Xuetong Wang, et al.. (2016). Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment. Neural Plasticity. 2016. 1–14. 12 indexed citations
18.
Ma, Jinpeng & Qiongling Li. (2016). Convergence of price processes under two dynamic double auctions. SHILAP Revista de lepidopterología. 1(1). 1–44. 2 indexed citations
19.
Li, Shuyu, et al.. (2015). Abnormal surface morphology of the central sulcus in children with attention-deficit/hyperactivity disorder. Frontiers in Neuroanatomy. 9. 114–114. 15 indexed citations
20.
Li, Xinwei, et al.. (2015). Local manifold learning for multiatlas segmentation: application to hippocampal segmentation in healthy population and Alzheimer's disease. CNS Neuroscience & Therapeutics. 21(10). 826–836. 9 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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