Qinghao Liang

421 total citations
12 papers, 185 citations indexed

About

Qinghao Liang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qinghao Liang has authored 12 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qinghao Liang's work include Functional Brain Connectivity Studies (8 papers), Mental Health Research Topics (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Qinghao Liang is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Mental Health Research Topics (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Qinghao Liang collaborates with scholars based in United States, China and Austria. Qinghao Liang's co-authors include Dustin Scheinost, Jing Sui, Vince D. Calhoun, Shile Qi, Rongtao Jiang, Stephanie Noble, Matthew Rosenblatt, Siyuan Gao, Kwangsun Yoo and Corey Horien and has published in prestigious journals such as American Journal of Psychiatry, Biological Psychiatry and Molecular Psychiatry.

In The Last Decade

Qinghao Liang

9 papers receiving 182 citations

Peers

Qinghao Liang

CN

GG

PHYSI

PMH

RNMI

Matthew Rosenblatt United States

Pedro Kallas Curiati Brazil

Natasha Z. R. Steele United States

Seo‐Eun Choi United States

Lianlian Du United States

Nereida Kilza da Costa Lima Brazil

Silvia Ingala Netherlands

Phillip H Hwang United States

Kevin M. Tierney United Kingdom

Karim Tifratène France

Matthew Rosenblatt United States

Qinghao Liang

50 ×0.6

CN

66 ×1.7

GG

77 ×2.3

PHYSI

50 ×1.8

PMH

25 ×0.9

RNMI

Citations per year, relative to Qinghao Liang Qinghao Liang (= 1×) peers Matthew Rosenblatt

Countries citing papers authored by Qinghao Liang

Since Specialization

Citations

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

Fields of papers citing papers by Qinghao Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghao Liang

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

All Works

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12 of 12 papers shown

1.

Dong, Siyuan, Gilbert Hangel, Wolfgang Bogner, et al.. (2024). A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging. Medical Image Analysis. 99. 103358–103358. 1 indexed citations

2.

Liang, Qinghao, Rongtao Jiang, Brendan Adkinson, et al.. (2024). Rescuing missing data in connectome-based predictive modeling. Imaging Neuroscience. 2. 1 indexed citations

3.

Dadashkarimi, Javid, Amin Karbasi, Qinghao Liang, et al.. (2023). Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. Medical Image Analysis. 88. 102864–102864. 6 indexed citations

4.

Jiang, Rongtao, Jing Wu, Matthew Rosenblatt, et al.. (2023). Elevated C-reactive protein mediates the liver-brain axis: a preliminary study. EBioMedicine. 93. 104679–104679. 24 indexed citations

5.

Rosenblatt, Matthew, Hannah Peterson, Javid Dadashkarimi, et al.. (2023). Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals. eLife. 12.

6.

Jiang, Rongtao, Stephanie Noble, Jing Sui, et al.. (2023). Associations of physical frailty with health outcomes and brain structure in 483 033 middle-aged and older adults: a population-based study from the UK Biobank. The Lancet Digital Health. 5(6). e350–e359. 52 indexed citations

7.

Garrison, Kathleen A., Rajita Sinha, Marc N. Potenza, et al.. (2023). Transdiagnostic Connectome-Based Prediction of Craving. American Journal of Psychiatry. 180(6). 445–453. 27 indexed citations

8.

Tejavibulya, Link, Max Rolison, Siyuan Gao, et al.. (2022). Predicting the future of neuroimaging predictive models in mental health. Molecular Psychiatry. 27(8). 3129–3137. 29 indexed citations

9.

Jiang, Rongtao, Vince D. Calhoun, Stephanie Noble, et al.. (2022). A functional connectome signature of blood pressure in >30 000 participants from the UK biobank. Cardiovascular Research. 119(6). 1427–1440. 10 indexed citations

10.

Yip, Sarah W., Qinghao Liang, Sarah Lichenstein, et al.. (2022). Neuromarkers of Risky Alcohol Use From Age 14 to 19 Years. Biological Psychiatry. 91(9). S41–S42.

11.

Jiang, Rongtao, Dustin Scheinost, Nianming Zuo, et al.. (2022). A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity. Advanced Science. 9(24). e2201621–e2201621. 35 indexed citations

12.

Liang, Qinghao & Dustin Scheinost. (2020). Imputation of Missing Behavioral Measures in Connectome-based Predictive Modelling.

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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