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:

DCAMCP: A deep learning model based on capsule network and attention mechanism for molecular carcinogenicity prediction
Zhe Chen, Li Zhang, Jianqiang Sun, et al.
Journal of Cellular and Molecular Medicine (2023) Vol. 27, Iss. 20, pp. 3117-3126
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Multi-task aquatic toxicity prediction model based on multi-level features fusion
Xin Yang, Jianqiang Sun, Bingyu Jin, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 26

Predicting drug-induced liver injury using graph attention mechanism and molecular fingerprints
Jifeng Wang, Li Zhang, Jianqiang Sun, et al.
Methods (2023) Vol. 221, pp. 18-26
Open Access | Times Cited: 35

LncRNA–miRNA interactions prediction based on meta‐path similarity and Gaussian kernel similarity
Jingxuan Xie, Peng Xu, Lin Ye, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 19
Open Access | Times Cited: 10

Predicting the potential associations between circRNA and drug sensitivity using a multisource feature‐based approach
Shuaidong Yin, Peng Xu, Yefeng Jiang, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 19
Open Access | Times Cited: 10

Identification of the shared genes in type 2 diabetes mellitus and osteoarthritis and the role of quercetin
Siyuan Song, Jiangyi Yu
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 4
Open Access | Times Cited: 8

Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction
Watshara Shoombuatong, Nutta Homdee, Nalini Schaduangrat, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8

Machine Learning‐Enabled Drug‐Induced Toxicity Prediction
Changsen Bai, Lianlian Wu, Ruijiang Li, et al.
Advanced Science (2025)
Open Access | Times Cited: 1

The metabolism-related lncRNA signature predicts the prognosis of breast cancer patients
Xin Ge, Lei Shu, Panliang Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

A prognostic nomogram for recurrence survival in post-surgical patients with varicose veins of the lower extremities
Hai Hu, Lili Hu, Ziqing Deng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

SCPLPA: An miRNA–disease association prediction model based on spatial consistency projection and label propagation algorithm
Min Chen, Yingwei Deng, Zejun Li, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 9
Open Access | Times Cited: 5

Ensemble learning-based predictor for driver synonymous mutation with sequence representation
Chuanmei Bi, Yong Shi, Junfeng Xia, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 1, pp. e1012744-e1012744
Open Access

ISLRWR: A network diffusion algorithm for drug–target interactions prediction
Lu Sun, Zhixiang Yin, Lin Lu
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0302281-e0302281
Open Access

SDC-estimator: an effectual software defect count estimation technique for the upcoming version of software project
Sushant Kumar Pandey, Anil Kumar Tripathi
Innovations in Systems and Software Engineering (2025)
Open Access

CNV-mediated dysregulation of the ceRNA network mechanism revealed heterogeneity in diffuse and intestinal gastric cancers
Rongji Xu, Danni He, Rui Sun, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access

Intratumoral Heterogeneity and Immune Microenvironment in Hepatoblastoma Revealed by Single‐Cell RNA Sequencing
Mingdi Ma, Chen Jin, Qian Dong
Journal of Cellular and Molecular Medicine (2025) Vol. 29, Iss. 6
Open Access

AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis
Haishan Xu, Xiao-Ying Li, Ming-Qian Jia, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e67922-e67922
Open Access

Recent progress in machine learning approaches for predicting carcinogenicity in drug development
Nguyen Quoc Khanh Le, Thi-Xuan Tran, Phung-Anh Nguyen, et al.
Expert Opinion on Drug Metabolism & Toxicology (2024) Vol. 20, Iss. 7, pp. 621-628
Closed Access | Times Cited: 4

CLSSATP: Contrastive learning and self-supervised learning model for aquatic toxicity prediction
Lin Ye, Xin Yang, Mingxuan Zhang, et al.
Aquatic Toxicology (2025) Vol. 279, pp. 107244-107244
Closed Access

Enhancing Molecular Network‐Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities
Hao Zhang, Chaohuan Lin, Y. Chen, et al.
Journal of Cellular and Molecular Medicine (2025) Vol. 29, Iss. 1
Open Access

Identification and validation of the common pathogenesis and hub biomarkers in Papillary thyroid carcinoma complicated by rheumatoid arthritis
Yingming Liu, Xiangjun Kong, Qianshu Sun, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0317369-e0317369
Open Access

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