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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:

A comprehensive survey on computational learning methods for analysis of gene expression data
Nikita Bhandari, Rahee Walambe, Ketan Kotecha, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 17

Showing 17 citing articles:

Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
Fadi Alharbi, Aleksandar Vakanski
Bioengineering (2023) Vol. 10, Iss. 2, pp. 173-173
Open Access | Times Cited: 100
Advances in Acoustic Emission Monitoring for Grinding of Hard and Brittle Materials
Zhiqi Fan, Chengwei Kang, Xuliang Li, et al.
Journal of Materials Research and Technology (2025)
Open Access
Gene Expression-Based Cancer Classification for Handling the Class Imbalance Problem and Curse of Dimensionality
Sadam Al-Azani, Omer S. Alkhnbashi, Emad Ramadan, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 4, pp. 2102-2102
Open Access | Times Cited: 4
Cortical type: a conceptual tool for meaningful biological interpretation of high-throughput gene expression data in the human cerebral cortex
Ariadna Sancha-Velasco, Alicia Uceda‐Heras, Miguel Ángel García‐Cabezas
Frontiers in Neuroanatomy (2023) Vol. 17
Open Access | Times Cited: 6
Utilizing Machine Learning Techniques for Categorizing Cancer Based on Gene Expression Data: A Review
Dibyendu Barman
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 1093-1112
Open Access | Times Cited: 1
Ensemble Learning for Higher Diagnostic Precision in Schizophrenia Using Peripheral Blood Gene Expression Profile
Vipul V. Wagh, Tanvi Kottat, Suchita Agrawal, et al.
Neuropsychiatric Disease and Treatment (2024) Vol. Volume 20, pp. 923-936
Open Access | Times Cited: 1
Classification of Parkinson’s Disease Using MRMR and ICA Prediction Models - A Comparative Study
Prisca O. Olawoye, Marion O. Adebiyi, Sotonye Vydah Harry, et al.
(2024), pp. 1-11
Closed Access | Times Cited: 1
Machine Learning Models for Identification and Prediction of Toxic Organic Compounds Using Daphnia magna Transcriptomic Profiles
Tae-June Choi, Hyung-Eun An, Chang-Bae Kim
Life (2022) Vol. 12, Iss. 9, pp. 1443-1443
Open Access | Times Cited: 6
Improvement Technologies for Data Imputation in Bioinformatics
Lesia Mochurad, Pavlo Horun
Technologies (2023) Vol. 11, Iss. 6, pp. 154-154
Open Access | Times Cited: 3
Mechanism exploration and biomarker identification of glycemic deterioration in patients with diseases of the exocrine pancreas
Zhen Wang, Guolin Zhang, J L Fu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Decoding genetic and pathophysiological mechanisms in amyotrophic lateral sclerosis and primary lateral sclerosis: A comparative study of differentially expressed genes and implicated pathways in motor neuron disorders
Hephzibah Cathryn R, Ankur Datta, S. Udhaya Kumar, et al.
Advances in protein chemistry and structural biology (2024), pp. 177-201
Closed Access
Reply to the Letter to the Editor regarding ‘Chi-squared and P-values vs. machine learning feature selection by Y. Takefuji’
Nicolás A. Fraunhoffer, Juan Iovanna, Nelson Dusetti
Annals of Oncology (2024)
Closed Access
Ensemble learning for higher diagnostic precision in schizophrenia using peripheral blood gene expression profile
Vipul V. Wagh, Suchita Agrawal, Shruti Purohit, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
The Diagnostic Features of Peripheral Blood Biomarkers in Identifying Osteoarthritis Individuals: Machine Learning Strategies and Clinical Evidence
Qiao Zhou, Jian Liu, Ling Xin, et al.
Current Computer - Aided Drug Design (2023) Vol. 20, Iss. 6, pp. 928-942
Closed Access | Times Cited: 1
An Omics-Based Metastasis Prediction Model for Osteosarcoma Patients Using Multi-scale Attention Network
Ning Wang, Yizhang Jiang
Lecture notes in computer science (2023), pp. 258-267
Closed Access
Adoption of Artificial Intelligence in Human and Clinical Genomics
Deepak Jain, Zhang Li, Guangming Zhang, et al.
Frontiers research topics (2023)
Open Access
Effects of Different Vaccines on Genetic Immune and Antibody Response Using Machine Learning methods
Nuha Husham, Sura Zaki
(2023), pp. 193-197
Closed Access
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