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OpenAlex Citation Counts

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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:

Predicting the Risk Genes of Autism Spectrum Disorders
Yen-Ching Lin, Srinivasulu Yerukala Sathipati, Shinn‐Ying Ho
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 13

Showing 13 citing articles:

Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid
Computers in Biology and Medicine (2022) Vol. 146, pp. 105553-105553
Open Access | Times Cited: 41
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues
Shahad Sabbar Joudar, A. S. Albahri, Rula A. Hamid, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 53-117
Closed Access | Times Cited: 21
AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions
Mostafa Abdelrahim, Mohamed Khudri, Ahmed Elnakib, et al.
Artificial Intelligence in Medicine (2025) Vol. 161, pp. 103074-103074
Closed Access
DeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification
Yongxian Fan, Hui Xiong, Guicong Sun
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 9
1H-NMR-Based Metabolomics in Autism Spectrum Disorder and Pediatric Acute-Onset Neuropsychiatric Syndrome
Antonella Gagliano, Federica Murgia, Agata Maria Capodiferro, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 21, pp. 6493-6493
Open Access | Times Cited: 12
A hybrid Stacking-SMOTE model for optimizing the prediction of autistic genes
Eman H. Ismail, Walaa Gad, Mohamed Hashem
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Phytochemicals and Vitagenes for a Healthy Brain
Naomi Osakabe, Carmelina Daniela Anfuso, Ursula M. Jacob, et al.
Healthy ageing and longevity (2024), pp. 215-253
Closed Access | Times Cited: 1
HEC-ASD: a hybrid ensemble-based classification model for predicting autism spectrum disorder disease genes
Eman H. Ismail, Walaa Gad, Mohamed Hashem
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Predictive Analysis of Autism Spectrum Disorder using Machine Learning Techniques*
T. Arathi, Samyukths Sasikumar, A S Vishnu Mahesh
(2024), pp. 1-6
Closed Access
Evolutionary learning-derived lncRNA signature with biomarker discovery for predicting stage of colon adenocarcinoma
Yu-Hsuan Ho, Yann‐Jen Ho, Fang-Yu Ko, et al.
(2024), pp. 1-5
Closed Access
DeepASDPred: A CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification
Yongxian Fan, Hui Xiong, Guicong Sun
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Constructing Features for Screening Neurodevelopmental Disorders Using Grammatical Evolution
Eugenia I. Toki, Giorgos Tatsis, Jenny Pange, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 305-305
Open Access | Times Cited: 1
Using an Antecedent Prompting Method to Teach an Extended Communication Sequence to Children with Autism Using a Speech Generating Device
Anastasia Sawchak
(2022)
Open Access
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