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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:

Machine learning approaches for predicting biomolecule–disease associations
Yulian Ding, Xiujuan Lei, Bo Liao, et al.
Briefings in Functional Genomics (2021) Vol. 20, Iss. 4, pp. 273-287
Closed Access | Times Cited: 18

Showing 18 citing articles:

Machine learning in bioprocess development: from promise to practice
Laura M. Helleckes, Johannes Hemmerich, Wolfgang Wiechert, et al.
Trends in biotechnology (2022) Vol. 41, Iss. 6, pp. 817-835
Open Access | Times Cited: 58
Advances and applications of machine learning and deep learning in environmental ecology and health
Shixuan Cui, Yuchen Gao, Yizhou Huang, et al.
Environmental Pollution (2023) Vol. 335, pp. 122358-122358
Closed Access | Times Cited: 32
Prediction Model of Hemorrhage Transformation in Patient with Acute Ischemic Stroke Based on Multiparametric MRI Radiomics and Machine Learning
Yucong Meng, Haoran Wang, Chuanfu Wu, et al.
Brain Sciences (2022) Vol. 12, Iss. 7, pp. 858-858
Open Access | Times Cited: 26
Recent advancements in novel electrochemical sensors for disease-associated molecule determination
Seyda Nur Samancı, Göksu Özçelikay-Akyıldız, S. Irem Kaya, et al.
Journal of Pharmaceutical and Biomedical Analysis Open (2025), pp. 100051-100051
Open Access
Machine learning uncovers novel sex-specific dementia biomarkers linked to autism and eye diseases
Ayub Khan, Ali R. Ghasemi, Krista K. Ingram, et al.
Journal of Alzheimer s Disease Reports (2025) Vol. 9
Open Access
Matrix reconstruction with reliable neighbors for predicting potential MiRNA–disease associations
Hailin Feng, Dongdong Jin, Jian Li, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 18
Predicting microbe–disease association based on graph autoencoder and inductive matrix completion with multi-similarities fusion
Kai Shi, Kai Huang, Li Lin, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 2
DeepWalk-aware graph attention networks with CNN for circRNA–drug sensitivity association identification
Guanghui Li, Youjun Li, Cheng Liang, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 4, pp. 418-428
Closed Access | Times Cited: 5
Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA–gene–disease networks
Yuxuan Si, Zihan Huang, Zhengqing Fang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
Knowledge structure and emerging trends in the application of deep learning in genetics research: A bibliometric analysis [2000–2021]
Bijun Zhang, Ting Fan
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 4
Machine Learning in Bioinformatics
Huiru Zheng, Jyotsna Talreja Wassan, Haiying Wang
Elsevier eBooks (2024)
Closed Access
Multi-Omics Mining of LNC-RNAs With Biological and Clinical Relevance in Cancer
Iván Salido-Guadarrama, Sandra Romero‐Córdoba, Bertha Rueda-Zarazúa
(2023)
Open Access | Times Cited: 1
Multi-Omics Mining of lncRNAs with Biological and Clinical Relevance in Cancer
Iván Salido-Guadarrama, Sandra Romero‐Córdoba, Bertha Rueda-Zarazúa
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 23, pp. 16600-16600
Open Access | Times Cited: 1
Briefings in functional genomics special section editorial: analysis of integrated multiple omics data
Feifei Cui, Liang Cheng, Quan Zou
Briefings in Functional Genomics (2021) Vol. 20, Iss. 4, pp. 196-197
Closed Access | Times Cited: 3
Deep Learning for Aging Research with DNA Methylation
Hongyu Guo, Fang‐Xiang Wu
Current Bioinformatics (2022) Vol. 17, Iss. 8, pp. 669-673
Closed Access | Times Cited: 1
Current applications of biomolecules in artificial intelligence and machine learning
Jaya V. Gade, Ashutosh Dixit, Rajinder Singh Sodhi, et al.
Elsevier eBooks (2023), pp. 575-589
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
Negative Sample Selection for miRNA-Disease Association Prediction Models
Yulian Ding, Fei Wang, Yuchen Zhang, et al.
Springer eBooks (2023), pp. 75-90
Closed Access
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