Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A new framework for drug–disease association prediction combing light-gated message passing neural network and gated fusion mechanism
Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 17

Showing 17 citing articles:

AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug–disease associations prediction
Junkai Liu, Shixuan Guan, Quan Zou, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111329-111329
Open Access | Times Cited: 15
HEDDI-Net: heterogeneous network embedding for drug-disease association prediction and drug repurposing, with application to Alzheimer’s disease
Yin-Yuan Su, Hsuan‐Cheng Huang, Yu‐Ting Lin, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
CFDSAEDDA: A Collaborative Filtering and Deep Sparse Autoencoder Neural Network Method for Inferring Drug-Disease Associations
Van Tinh Nguyen, Minh Nhat Vu, Thi Bich Thuy Ngo, et al.
Lecture notes in networks and systems (2025), pp. 695-708
Closed Access
PRKCSH serves as a potential immunological and prognostic biomarker in pan-cancer
Qiankun Wang, Xiong Wang, Jiaoyuan Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
SLGCN: Structure-enhanced line graph convolutional network for predicting drug–disease associations
Bao-Min Liu, Ying-Lian Gao, Feng Li, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111187-111187
Closed Access | Times Cited: 5
KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder
Wen-Yue Kang, Ying-Lian Gao, Ying Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 3178-3185
Closed Access | Times Cited: 1
CVGAE: A Self-Supervised Generative Method for Gene Regulatory Network Inference Using Single-Cell RNA Sequencing Data
Wei Liu, Zhijie Teng, Zejun Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 990-1004
Closed Access | Times Cited: 1
A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug–Disease Associations
Ying Wang, Jin‐Xing Liu, Juan Wang, et al.
Journal of Computational Biology (2023) Vol. 30, Iss. 8, pp. 937-947
Closed Access | Times Cited: 2
Early acquired resistance to EGFR-TKIs in lung adenocarcinomas before radiographic advanced identified by CT radiomic delta model based on two central studies
Xiumei Li, Chengxiu Zhang, Tingting Li, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Nucleoporin 93, a new substrate of the E3 ubiquitin protein ligase HECTD1, promotes esophageal squamous cell carcinoma progression
Jinfeng Zhang, Yanzhong Xin, Xiaodong Ling, et al.
Human Cell (2023) Vol. 37, Iss. 1, pp. 245-257
Closed Access | Times Cited: 2
Importance of LINC00852/miR-145-5p in breast cancer: a bioinformatics and experimental study
Abbas Shakoori, Asghar Hosseinzadeh, Nahid Nafisi, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access
CFMKGATDDA: A NEW COLLABORATIVE FILTERING AND MULTIPLE KERNEL GRAPH ATTENTION NETWORK-BASED METHOD FOR PREDICTING DRUG-DISEASE ASSOCIATIONS
Van Tinh Nguyen, Duc Huy Vu, Thi Thu Trang Pham, et al.
Intelligence-Based Medicine (2024), pp. 100194-100194
Open Access
Single-cell transcriptomics reveal the prognostic roles of epithelial and T cells and DNA methylation-based prognostic models in pancreatic cancer
Jing Du, Yaqian Zhao, Jie Dong, et al.
Clinical Epigenetics (2024) Vol. 16, Iss. 1
Open Access
Drug-Disease Association Prediction Through Multiple Integrated Similarities and Deep Learning
Van Tinh Nguyen, Nguyen Van Thien, Thi Thanh Van Thai, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Link prediction in bipartite networks via effective integration of explicit and implicit relations
Xue Chen, Chaochao Liu, Xiaobo Li, et al.
Neurocomputing (2023) Vol. 566, pp. 127016-127016
Closed Access | Times Cited: 1
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations
Shengpeng Yu, Hong Wang, Jing Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 21, Iss. 1, pp. 45-56
Closed Access | Times Cited: 1
Predicting Drug-Disease Associations Based on Integrated Similarities and Weighted Bi-level Network
Van Tinh Nguyen, Huy Vu Duc, Yen Vu Minh, et al.
Lecture notes in networks and systems (2023), pp. 94-106
Closed Access | Times Cited: 1
AutoMF: A hybrid matrix factorization model with deep learning to select anti-viral drugs for Covid-19
Seyedeh Zahra Sajadi, Seyed Mojtaba Sadjadi, Mohammad Ali Zare Chahooki
Journal of Computational Science (2023) Vol. 74, pp. 102154-102154
Closed Access
Page 1

Scroll to top