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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:

The use of data independent acquisition based proteomic analysis and machine learning to reveal potential biomarkers for autism spectrum disorder
Huajie Zhang, Xiaoxiao Tang, Chengyun Feng, et al.
Journal of Proteomics (2023) Vol. 278, pp. 104872-104872
Closed Access | Times Cited: 13

Showing 13 citing articles:

Autism spectrum disorder: pathogenesis, biomarker, and intervention therapy
Hongbin Zhuang, Zhiyuan Liang, Guanwei Ma, et al.
MedComm (2024) Vol. 5, Iss. 3
Open Access | Times Cited: 13
Leveraging AI for the Diagnosis and Treatment of Autism Spectrum Disorder: Current Trends and Future Prospects
Nitu L. Wankhede, Mayur B. Kale, Madhu Shukla, et al.
Asian Journal of Psychiatry (2024) Vol. 101, pp. 104241-104241
Closed Access | Times Cited: 11
Accurate prediction of organizational growth status by comparing the inception and GoogleNet
M. K. Prasanna Kumar, R. Gnanajeyaraman
AIP conference proceedings (2025) Vol. 3252, pp. 020205-020205
Closed Access
Platelet Levels of Brain-Derived Neurotrophic Factor in Adults with Autism Spectrum Disorder: Is There a Specific Association with Autism Spectrum Psychopathology?
Barbara Carpita, Benedetta Nardi, Chiara Bonelli, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1529-1529
Open Access | Times Cited: 1
Identification of Autism Spectrum Disorder in Children from Facial Features Using Deep Learning
P Varsha, B. Uma Maheswari
(2024), pp. 1-6
Closed Access
From Signals to Solutions: Exploring Early Detection of Neuropsychiatric and Neurodevelopment Disorders through Biomarkers
Zainah A. Lawman
Open Journal of Psychiatry (2024) Vol. 14, Iss. 04, pp. 347-352
Open Access
Machine learning approach to predict blood-secretory proteins and potential biomarkers for liver cancer using omics data
Dahrii Paul, Vigneshwar Suriya Prakash Sinnarasan, Rajesh Das, et al.
Journal of Proteomics (2024) Vol. 309, pp. 105298-105298
Closed Access
Screening biomarkers for autism spectrum disorder using plasma proteomics combined with machine learning methods
Xiaoxiao Tang, Xiaoqian Ran, Zhiyuan Liang, et al.
Clinica Chimica Acta (2024), pp. 120018-120018
Closed Access
Proteomics of neuropsychiatric disorders
A.Y. Liu, Lina Sun, Wenshu Meng
Clinica Chimica Acta (2024), pp. 120093-120093
Closed Access
Biomedical data analytics for better patient outcomes
Alireza Ghofrani, Hamed Taherdoost
Drug Discovery Today (2024), pp. 104280-104280
Closed Access
An Effective Model Of Autism Spectrum Disorder Using Machine Learning
Razieh Asgarnezhad, Karrar Ali Mohsin Alhameedawi, Hani Akram Mahfoud
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) (2023) Vol. 11, Iss. 2
Open Access | Times Cited: 1
Molecular Autism Research in Africa: Emerging Themes and Prevailing Disparities
Emma Frickel, Caitlyn Mahony, Sophia Bam, et al.
Review Journal of Autism and Developmental Disorders (2023)
Open Access | Times Cited: 1
Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder
Qianfang Jia, Xiaofang Wang, Rongyi Zhou, et al.
Frontiers in Neuroinformatics (2023) Vol. 17
Open Access
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