Qinlin Yu

510 total citations
10 papers, 286 citations indexed

About

Qinlin Yu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Qinlin Yu has authored 10 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Qinlin Yu's work include Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (4 papers) and Fetal and Pediatric Neurological Disorders (3 papers). Qinlin Yu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (4 papers) and Fetal and Pediatric Neurological Disorders (3 papers). Qinlin Yu collaborates with scholars based in China, United States and France. Qinlin Yu's co-authors include Minhui Ouyang, Hao Huang, Jessica Dubois, Pratik Mukherjee, Fang Fang, Peng Zhang, Jiang Qiu, Huiying Kang, Yun Peng and Qinmu Peng and has published in prestigious journals such as NeuroImage, Current Biology and Cerebral Cortex.

In The Last Decade

Qinlin Yu

9 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qinlin Yu China	8	142	132	129	16	14	10	286
Mahshid Farzinfar United States	5	103 0.7×	213 1.6×	97 0.8×	12 0.8×	12 0.9×	9	285
Shengwei Zhang United States	8	143 1.0×	262 2.0×	85 0.7×	23 1.4×	13 0.9×	11	342
Justin Remer United States	5	142 1.0×	115 0.9×	93 0.7×	12 0.8×	18 1.3×	5	295
Elda Fischi-Gómez Switzerland	9	191 1.3×	204 1.5×	301 2.3×	8 0.5×	17 1.2×	19	477
Huiying Kang China	7	99 0.7×	112 0.8×	79 0.6×	21 1.3×	10 0.7×	17	255
Gemma B. Northam United Kingdom	8	99 0.7×	132 1.0×	236 1.8×	13 0.8×	31 2.2×	10	376
Ralph O. Suarez United States	11	304 2.1×	207 1.6×	84 0.7×	17 1.1×	22 1.6×	15	474
Shai Berman Israel	8	78 0.5×	163 1.2×	49 0.4×	31 1.9×	18 1.3×	10	257
Samia Elkommos United Kingdom	9	82 0.6×	82 0.6×	179 1.4×	25 1.6×	17 1.2×	11	330
David Rotenberg Canada	10	156 1.1×	225 1.7×	33 0.3×	21 1.3×	19 1.4×	14	361

Countries citing papers authored by Qinlin Yu

Since Specialization

Citations

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

Fields of papers citing papers by Qinlin Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinlin Yu

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

All Works

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10 of 10 papers shown

Peng, Yun, Minhui Ouyang, Qinmu Peng, et al.. (2024). Diffusion‐tensor‐imaging 1‐year‐old and 2‐year‐old infant brain atlases with comprehensive gray and white matter labels. Human Brain Mapping. 45(7). e26695–e26695. 2 indexed citations

Yu, Qinlin, Minhui Ouyang, John A. Detre, et al.. (2023). Infant brain regional cerebral blood flow increases supporting emergence of the default-mode network. eLife. 12. 15 indexed citations

Li, Baolin, et al.. (2023). Neural correlates of aftereffects induced by adaptations to single and average durations. PsyCh Journal. 12(4). 479–490.

Peng, Qinmu, Minhui Ouyang, Jiaojian Wang, et al.. (2020). Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks. Artificial Intelligence in Medicine. 106. 101872–101872. 8 indexed citations

Yu, Qinlin, Yun Peng, Huiying Kang, et al.. (2019). Differential White Matter Maturation from Birth to 8 Years of Age. Cerebral Cortex. 30(4). 2674–2690. 37 indexed citations

Chen, Weiwei, Qinlin Yu, Jian Guo, et al.. (2019). Novel missense variant in TTN cosegregating with familial atrioventricular block. European Journal of Medical Genetics. 63(3). 103752–103752. 8 indexed citations

Chen, Xue, et al.. (2019). Selective synthesis of Sb2S3 nanostructures with different morphologies for high performance in dye-sensitized solar cells. CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION). 41(3). 435–441. 8 indexed citations

Ouyang, Minhui, Jessica Dubois, Qinlin Yu, Pratik Mukherjee, & Hao Huang. (2018). Delineation of early brain development from fetuses to infants with diffusion MRI and beyond. NeuroImage. 185. 836–850. 157 indexed citations

Kang, Huiying, Miao Zhang, Minhui Ouyang, et al.. (2018). Brain white matter microstructural alterations in children of type I Gaucher disease characterized with diffusion tensor MR imaging. European Journal of Radiology. 102. 22–29. 10 indexed citations

10.

Yu, Qinlin, Peng Zhang, Jiang Qiu, & Fang Fang. (2016). Perceptual Learning of Contrast Detection in the Human Lateral Geniculate Nucleus. Current Biology. 26(23). 3176–3182. 41 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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