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:

Deep learning applications in single-cell genomics and transcriptomics data analysis
Nafiseh Erfanian, A. Ali Heydari, Adib Miraki Feriz, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 165, pp. 115077-115077
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Research Trends and Dynamics in Single-cell RNA Sequencing for Musculoskeletal Diseases: A Scientometric and Visualization Study
Siyang Cao, Yihao Wei, Yaohang Yue, et al.
International Journal of Medical Sciences (2025) Vol. 22, Iss. 3, pp. 528-550
Open Access | Times Cited: 2

Large language models in plant biology
Hilbert Yuen In Lam, Xing Er Ong, Marek Mutwil
Trends in Plant Science (2024) Vol. 29, Iss. 10, pp. 1145-1155
Open Access | Times Cited: 14

Deciphering Depression: Epigenetic Mechanisms and Treatment Strategies
Alaa A. A. Aljabali, Almuthanna K. Alkaraki, Omar Gammoh, et al.
Biology (2024) Vol. 13, Iss. 8, pp. 638-638
Open Access | Times Cited: 8

Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology
Ana Ortega-Batista, Yanelys Jaén-Alvarado, Dilan Moreno-Labrador, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 5, pp. 2074-2074
Open Access | Times Cited: 1

Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing
A. Ali Heydari, Suzanne Sindi
Biophysics Reviews (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 19

Deep Learning in Single-cell Analysis
Dylan Molho, Jiayuan Ding, Wenzhuo Tang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-62
Open Access | Times Cited: 7

Machine learning in onco-pharmacogenomics: a path to precision medicine with many challenges
Alessia Mondello, Michele Dal Bo, Giuseppe Toffoli, et al.
Frontiers in Pharmacology (2024) Vol. 14
Open Access | Times Cited: 5

A review of transformers in drug discovery and beyond
Jian Jiang, Long Chen, Ke Lü, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101081-101081
Open Access | Times Cited: 5

Omics and rare diseases: challenges, applications, and future perspectives
Daniela Braconi, Haidara Nadwa, Giulia Bernardini, et al.
Expert Review of Proteomics (2025)
Closed Access

Malaria Chemotherapeutics What Next for Africa
Lucy Ochola, Jesse Gitaka, Bernard N. Kanoi, et al.
Advanced Therapeutics (2025)
Closed Access

A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry
Jaleh Bagheri Hamzyan Olia, Arasu Raman, Chou‐Yi Hsu, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109984-109984
Closed Access

Unveiling the frontiers of deep learning: Innovations shaping diverse domains
Shams Forruque Ahmed, Md. Sakib Bin Alam, Maliha Kabir, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Open Access

Mitigating ambient RNA and doublets effects on single cell transcriptomics analysis in cancer research
Madhu Sudhana Saddala, Midhuna Sree Chittineni, Narayanan Hariharan, et al.
Cancer Letters (2025), pp. 217693-217693
Closed Access

Precision Medicine in Immunoradiotherapy
Jianfeng Feng, Jiakuan Peng, Hui Qiu, et al.
(2025), pp. 263-303
Closed Access

Data normalization for addressing the challenges in the analysis of single-cell transcriptomic datasets
Raquel Cuevas‐Díaz Durán, Haichao Wei, Jiaqian Wu
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4

Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine
Liuxi Chu, Wenjia Wang, Xin-Pei Gu, et al.
Military Medical Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4

XgCPred: Cell type classification using XGBoost-CNN integration and exploiting gene expression imaging in single-cell RNAseq data
Anas Abu-Doleh, Amjed Al Fahoum
Computers in Biology and Medicine (2024) Vol. 181, pp. 109066-109066
Closed Access | Times Cited: 4

Single-cell RNA sequencing to map tumor heterogeneity in gastric carcinogenesis paving roads to individualized therapy
Jiao Xu, Bixin Yu, Fan Wang, et al.
Cancer Immunology Immunotherapy (2024) Vol. 73, Iss. 11
Open Access | Times Cited: 4

Deep learning-based models for preimplantation mouse and human embryos based on single-cell RNA sequencing
Martin Proks, Nazmus Salehin, Joshua M. Brickman
Nature Methods (2024)
Open Access | Times Cited: 4

Advances and applications in single-cell and spatial genomics
Jingjing Wang, Fang Ye, Haoxi Chai, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 4

Comparative Evaluation of Machine Learning Models for Subtyping Triple-Negative Breast Cancer: A Deep Learning-Based Multi-Omics Data Integration Approach
Shufang Yang, Zihui Wang, Changfu Wang, et al.
Journal of Cancer (2024) Vol. 15, Iss. 12, pp. 3943-3957
Open Access | Times Cited: 3

Optimal Features Selection in the High Dimensional Data based on Robust Technique: Application to Different Health Database
Ibrar Hussain, Moiz Qureshi, Muhammad Ismail, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e37241-e37241
Open Access | Times Cited: 3

Single-Cell Analysis in the Omics Era: Technologies and Applications in Cancer
Michele Massimino, Federica Martorana, Stefania Stella, et al.
Genes (2023) Vol. 14, Iss. 7, pp. 1330-1330
Open Access | Times Cited: 8

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