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:

Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model
Gemeng Zhang, Biao Cai, Aiying Zhang, et al.
NeuroImage (2022) Vol. 260, pp. 119451-119451
Open Access | Times Cited: 15

Showing 15 citing articles:

Brain connectivity for subtypes of parkinson’s disease using structural MRI
Tanmayee Samantaray, Jitender Saini, Pramod Kumar Pal, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 2, pp. 025012-025012
Closed Access | Times Cited: 4
Federated Bayesian network learning from multi-site data
Shuai Liu, Xiao Yan, Xiao Guo, et al.
Journal of Biomedical Informatics (2025), pp. 104784-104784
Closed Access
Low-frequency rTMS modulates small-world network properties in an AVH-related brain network in schizophrenia
Lin Zhang, Li Guo, Xiaohui Liu, et al.
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction
Anton Orlichenko
(2023)
Open Access | Times Cited: 9
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction
Anton Orlichenko, Gang Qu, Gemeng Zhang, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 6, pp. 1979-1989
Open Access | Times Cited: 12
3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network
Mingkan Shen, Peng Wen, Bo Song, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105815-105815
Open Access | Times Cited: 7
Learnable Brain Connectivity Structures for Identifying Neurological Disorders
Zhengwang Xia, Tao Zhou, Zhuqing Jiao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 3084-3094
Open Access | Times Cited: 2
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
Aiying Zhang, Gemeng Zhang, Biao Cai, et al.
Network Neuroscience (2024) Vol. 8, Iss. 3, pp. 791-807
Open Access | Times Cited: 1
Brain effective connectome based on fMRI and DTI data: Bayesian causal learning and assessment
Abdolmahdi Bagheri, Mahdi Dehshiri, Yamin Bagheri, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0289406-e0289406
Open Access | Times Cited: 3
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction
Anton Orlichenko
(2022)
Open Access | Times Cited: 4
Causal Learning through Deliberate Undersampling.
Kseniya P. Solovyeva, David Danks, Mohammadsajad Abavisani, et al.
PubMed (2023) Vol. 213, pp. 518-530
Closed Access | Times Cited: 1
Abnormal trial-to-trial variability in P300 time-varying directed eeg network of schizophrenia
Chanlin Yi, Fali Li, Jiuju Wang, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
Discovering the effective connectome of the brain with dynamic Bayesian DAG learning
Abdolmahdi Bagheri, Mohammad Pasande, Kevin Bello, et al.
NeuroImage (2024) Vol. 297, pp. 120684-120684
Open Access
Abnormal Dynamic Reconstruction of Overlapping Communities in Schizophrenia Patients
Y. Guo, Xubin Wu, Yumeng Sun, et al.
Brain Sciences (2024) Vol. 14, Iss. 8, pp. 783-783
Open Access
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction
Anton Orlichenko
(2022)
Open Access
Page 1

Scroll to top