Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy
Long‐Biao Cui, Lin Liu, Huaning Wang, et al.
Schizophrenia Bulletin (2018) Vol. 44, Iss. 5, pp. 1053-1059
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions
Aristotle N. Voineskos, Colin Hawco, Nicholas H. Neufeld, et al.
World Psychiatry (2024) Vol. 23, Iss. 1, pp. 26-51
Open Access | Times Cited: 25
Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data
Andreas Holzinger, Benjamin Haibe‐Kains, Igor Jurišica
European Journal of Nuclear Medicine and Molecular Imaging (2019) Vol. 46, Iss. 13, pp. 2722-2730
Closed Access | Times Cited: 104
Integrative omics of schizophrenia: from genetic determinants to clinical classification and risk prediction
Fanglin Guan, Tong Ni, Weili Zhu, et al.
Molecular Psychiatry (2021) Vol. 27, Iss. 1, pp. 113-126
Open Access | Times Cited: 57
A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors
Xiaopan Xu, Huanjun Wang, Peng Du, et al.
Journal of Magnetic Resonance Imaging (2019) Vol. 50, Iss. 6, pp. 1893-1904
Open Access | Times Cited: 68
Generalizability of machine learning for classification of schizophrenia based on resting‐state functional MRI data
Xin‐lu Cai, Dongjie Xie, Kristoffer H. Madsen, et al.
Human Brain Mapping (2019) Vol. 41, Iss. 1, pp. 172-184
Open Access | Times Cited: 58
Classification of Unmedicated Bipolar Disorder Using Whole-Brain Functional Activity and Connectivity: A Radiomics Analysis
Ying Wang, Kai Sun, Zhenyu Liu, et al.
Cerebral Cortex (2019) Vol. 30, Iss. 3, pp. 1117-1128
Open Access | Times Cited: 57
Subtyping Schizophrenia Patients Based on Patterns of Structural Brain Alterations
Yuan Xiao, Wei Liao, Zhiliang Long, et al.
Schizophrenia Bulletin (2021) Vol. 48, Iss. 1, pp. 241-250
Open Access | Times Cited: 50
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 19
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
Connectome-Based Patterns of First-Episode Medication-Naïve Patients With Schizophrenia
Long‐Biao Cui, Yongbin Wei, Yi-Bin Xi, et al.
Schizophrenia Bulletin (2019) Vol. 45, Iss. 6, pp. 1291-1299
Open Access | Times Cited: 53
Development and assessment of an individualized nomogram to predict colorectal cancer liver metastases
Mingyang Li, Xueyan Li, Guo Yu, et al.
Quantitative Imaging in Medicine and Surgery (2020) Vol. 10, Iss. 2, pp. 397-414
Open Access | Times Cited: 47
Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer
Xing Tang, Xiaopan Xu, Zhiping Han, et al.
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 43
Robustness of radiomics to variations in segmentation methods in multimodal brain MRI
Maarten Gijsbert Poirot, Matthan W.A. Caan, Henricus G. Ruhé, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Transcriptional level of inflammation markers associates with short-term brain structural changes in first-episode schizophrenia
Long‐Biao Cui, Xian-Yang Wang, Yu‐Fei Fu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 16
Prediction of early response to overall treatment for schizophrenia: A functional magnetic resonance imaging study
Long‐Biao Cui, Min Cai, Xing‐Rui Wang, et al.
Brain and Behavior (2019) Vol. 9, Iss. 2
Open Access | Times Cited: 39
An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum
Minji Bang, Jihwan Eom, Chansik An, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 31
Discriminating subclinical depression from major depression using multi-scale brain functional features: A radiomics analysis
Bo Zhang, Shuang Liu, Xiaoya Liu, et al.
Journal of Affective Disorders (2021) Vol. 297, pp. 542-552
Open Access | Times Cited: 31
Classification of schizophrenia patients using a graph convolutional network: A combined functional MRI and connectomics analysis
Xiaoyi Chen, Jing Zhou, Pengfei Ke, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104293-104293
Closed Access | Times Cited: 22
A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis
Alexis Porter, Sihan Fei, Katherine S. F. Damme, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 8, pp. 3278-3292
Open Access | Times Cited: 11
Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application
Chao Li, Ji Chen, Mengshi Dong, et al.
BMC Psychiatry (2025) Vol. 25, Iss. 1
Open Access
Predicting response to electroconvulsive therapy combined with antipsychotics in schizophrenia using multi-parametric magnetic resonance imaging
Jie Gong, Long‐Biao Cui, Yi‐Bin Xi, et al.
Schizophrenia Research (2019) Vol. 216, pp. 262-271
Closed Access | Times Cited: 31
A novel collaborative self-supervised learning method for radiomic data
Zhiyuan Li, Hailong Li, Anca L. Ralescu, et al.
NeuroImage (2023) Vol. 277, pp. 120229-120229
Open Access | Times Cited: 10
Relationship between plasma TNF-α levels and agitation symptoms in first episode patients with schizophrenia
Xiaoying Wang, Wenjin Chen, Mengzhuang Gou, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Will Machine Learning Enable Us to Finally Cut the Gordian Knot of Schizophrenia
Neeraj Tandon, Rajiv Tandon
Schizophrenia Bulletin (2018) Vol. 44, Iss. 5, pp. 939-941
Open Access | Times Cited: 31
Application of Radiomics in Central Nervous System Diseases: a Systematic literature review
Yanghua Fan, Ming Feng, Renzhi Wang
Clinical Neurology and Neurosurgery (2019) Vol. 187, pp. 105565-105565
Closed Access | Times Cited: 28
Page 1 - Next Page

Scroll to top