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:

Recent Progress of Machine Learning in Gene Therapy
Cassandra Hunt, Sandra K. Montgomery, Joshua William Berkenpas, et al.
Current Gene Therapy (2021) Vol. 22, Iss. 2, pp. 132-143
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A First Computational Frame for Recognizing Heparin-Binding Protein
Wen Zhu, Shi-Shi Yuan, Jian Li, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2465-2465
Open Access | Times Cited: 70

Gene therapy clinical trials worldwide to 2023—an update
Samantha L. Ginn, Mawj Mandwie, Ian E. Alexander, et al.
The Journal of Gene Medicine (2024) Vol. 26, Iss. 8
Closed Access | Times Cited: 17

Ultrasound Image Classification of Thyroid Nodules Based on Deep Learning
Jingya Yang, Xiaoli Shi, Bing Wang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 20

Identification of adaptor proteins using the ANOVA feature selection technique
Yuhao Wang, Yufei Zhang, Ying Zhang, et al.
Methods (2022) Vol. 208, pp. 42-47
Closed Access | Times Cited: 17

Soft computing techniques for biomedical data analysis: open issues and challenges
Essam H. Houssein, Mosa E. Hosney, Marwa M. Emam, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2599-2649
Open Access | Times Cited: 10

Advancing ocular gene therapy: a machine learning approach to enhance delivery, uptake and gene expression
Sareh Aghajanpour, Hamid Amiriara, Pedram Ebrahimnejad, et al.
Drug Discovery Today (2025), pp. 104359-104359
Closed Access

The Evolving Landscape of Biotechnology Research: Challenges and Opportunities in Acquisitions, Funding, Education, and Workforce Development for a Productive Bioeconomy
Frederick D. Gregory, Benjamin D. Trump
NATO science for peace and security series. A, Chemistry and biology (2025), pp. 25-50
Closed Access

Deep learning and machine learning approaches to classify stomach distant metastatic tumors using DNA methylation profiles
Jing Shi, Ying Chen, Ying Wang
Computers in Biology and Medicine (2024) Vol. 175, pp. 108496-108496
Closed Access | Times Cited: 3

Lipid-Based Nanocarriers for Targeted Gene Delivery in Lung Cancer Therapy: Exploring a Novel Therapeutic Paradigm
Anahita Beigi, Seyed Morteza Naghib, Amir Matini, et al.
Current Gene Therapy (2024) Vol. 25, Iss. 2, pp. 92-112
Closed Access | Times Cited: 3

CFNCM: Collaborative filtering neighborhood-based model for predicting miRNA-disease associations
Biffon Manyura Momanyi, Hasan Zulfiqar, Bakanina Kissanga Grace-Mercure, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107165-107165
Closed Access | Times Cited: 8

CoGSPro-net:A graph neural network based on protein-protein interaction for classifying lung cancer-relatrd proteins
Wei Wei, Dongsheng Yue
Computers in Biology and Medicine (2024) Vol. 172, pp. 108251-108251
Closed Access | Times Cited: 2

The current role of artificial intelligence in hemophilia
E. Carlos Rodríguez‐Merchán
Expert Review of Hematology (2022) Vol. 15, Iss. 10, pp. 927-931
Closed Access | Times Cited: 7

Prediction of systemic lupus erythematosus-related genes based on graph attention network and deep neural network
Fang Fang, Yizhou Sun
Computers in Biology and Medicine (2024) Vol. 175, pp. 108371-108371
Closed Access | Times Cited: 1

Prediction of cell-type-specific cohesin-mediated chromatin loops based on chromatin state
Li Liu, Ranran Jia, Rui Hou, et al.
Methods (2024) Vol. 226, pp. 151-160
Closed Access | Times Cited: 1

Prediction of drug targets related to HCC metastasis from the perspective of programmed cell death based on transformer
Yaoguo Huang, Fang Fang, Lin Liu, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 918-925
Closed Access | Times Cited: 1

DTRE: A model for predicting drug-target interactions of endometrial cancer based on heterogeneous graph
Meng Li, Han Liu, Fanyu Kong, et al.
Future Generation Computer Systems (2024) Vol. 161, pp. 478-486
Open Access | Times Cited: 1

Identification and model construction of survival-associated proteins for pancreatic cancer based on deep learning
Ying Chen, L. Tong, Jia Zhao
Future Generation Computer Systems (2024) Vol. 161, pp. 487-495
Closed Access | Times Cited: 1

Prediction of YY1 loop anchor based on multi-omics features
Jun Ren, Zhiling Guo, Yangfan Qi, et al.
Methods (2024) Vol. 232, pp. 96-106
Closed Access | Times Cited: 1

AI’s Influence on Human Creative Agency
Ryan Watkins, Eran Barak-Medina
Creativity Research Journal (2024), pp. 1-13
Open Access | Times Cited: 1

The Current Therapeutic Role of Chromatin Remodeling for the Prognosis and Treatment of Heart Failure
Lindsay Kraus, Brianna Beavens
Biomedicines (2023) Vol. 11, Iss. 2, pp. 579-579
Open Access | Times Cited: 1

Graph neural network model GGDisnet for identifying genes in gastrointestinal cancer and single-cell analysis
Ying Wang, Yaqi Du
Computers in Biology and Medicine (2024) Vol. 172, pp. 108285-108285
Closed Access

Applications and Challenges of Artificial Intelligence in Life Sciences
Tianyao Liu, Wenbo Li
SHS Web of Conferences (2024) Vol. 187, pp. 04007-04007
Open Access

Cognitive Computing in Smart Cities and Healthcare
V. Dave Mahadevprasad, Ondippili Rudhra, Sanjeev Kumar Singh
(2024), pp. 317-363
Closed Access

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