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.

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Showing 21 citing articles:

Transformer Architecture and Attention Mechanisms in Genome Data Analysis: A Comprehensive Review
Sanghyuk Roy Choi, Minhyeok Lee
Biology (2023) Vol. 12, Iss. 7, pp. 1033-1033
Open Access | Times Cited: 67

Bioinformatics and personalized medicine in the U.S.: A comprehensive review: Scrutinizing the advancements in genomics and their potential to revolutionize healthcare delivery
Tolulope O Olorunsogo, Obe Destiny Balogun, Oluwatoyin Ayo-Farai, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 1, pp. 335-351
Open Access | Times Cited: 10

Integrating AI into Cancer Immunotherapy—A Narrative Review of Current Applications and Future Directions
David B. Olawade, Aanuoluwapo Clement David-Olawade, Temitope Adereni, et al.
Diseases (2025) Vol. 13, Iss. 1, pp. 24-24
Open Access | Times Cited: 1

Cancer Metastasis Prediction and Genomic Biomarker Identification through Machine Learning and eXplainable Artificial Intelligence in Breast Cancer Research
Burak Yagin, Fatma Hilal Yağın, Cemil Çolak, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3314-3314
Open Access | Times Cited: 21

Recent Advancements in Deep Learning Using Whole Slide Imaging for Cancer Prognosis
Minhyeok Lee
Bioengineering (2023) Vol. 10, Iss. 8, pp. 897-897
Open Access | Times Cited: 16

Recent Advancement in Bioinformatics
Yogesh Kumar Sharma, Leena Arya, Smitha, et al.
(2025), pp. 227-246
Closed Access

Advanced Biomarkers and Precision Medicine: Innovative Strategies to Prevent Cancer Recurrence
MS Ganesh, R. Revanth, C. Mahesh Elaya Bharathi
Journal of cancer research updates (2025) Vol. 14, pp. 1-11
Closed Access

Deep learning techniques for gene selection and cancer classification: a detailed review
G. Boopathi Raja
Elsevier eBooks (2025), pp. 79-96
Closed Access

Using The Cancer Genome Atlas from cBioPortal to Develop Genomic Datasets for Machine Learning Assisted Cancer Treatment
Abu Asaduzzaman, Christian C. Thompson, Fadi N. Sibai, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access

The role of artificial intelligence integrating multi-omics in breast cancer
Raquel Gómez Bravo, Benjamín Walbaum, Elia Seguí, et al.
Revista de Senología y Patología Mamaria (2025) Vol. 38, Iss. 3, pp. 100677-100677
Closed Access

An Introduction to Recent Approaches Underlying Mechanistic Insights Harboring Oncobiology
R. C. Sobti, Aastha Sobti
(2024), pp. 3-47
Closed Access | Times Cited: 1

Prognostic values and immune infiltration of KLF15, AQP7, AGPAT9 in glioma and glioblastoma
Ayobami Matthew Olajuyin, Onyinyechi Sharon Nwachukwu, Adefunke Kafayat Olajuyin, et al.
Future Journal of Pharmaceutical Sciences (2024) Vol. 10, Iss. 1
Open Access

Learning the Relationship Between Variants, Metabolic Fluxes and Phenotypes
Dong In Kim, Seokjin Han, Seong-Hyeuk Nam, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

CID:Way to Predict Cancer in Early Stage using DL Method of Frame Work
Balaram Yadav Kasula, Srikanth Kolluri, Sachin C. Patil, et al.
(2024), pp. 303-309
Closed Access

Intelligent mutation based evolutionary optimization algorithm for genomics and precision medicine
Shailendra Pratap Singh, Dileep Kumar Yadav, Mohammad Kazem Chamran, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 4
Closed Access

Cancer survival prediction using artificial intelligence: current status and future prospects
H. Shaikh, Rashid Ali
Elsevier eBooks (2024), pp. 227-240
Closed Access

Deep learning in personalized genomics and gene editing
Leimarembi Devi Naorem, Kamakshi Shrivastava, Pratik Chandrani
Elsevier eBooks (2024), pp. 151-170
Closed Access

AMTL-RFC:A multi-task learning based method for evaluating the feasibility of enzymatic reactions
Jianghang Liu, Juan Liu, Zhihui Yang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 8, pp. 574-579
Closed Access

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