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:

Global and cross-modal feature aggregation for multi-omics data classification and application on drug response prediction
Xiao Zheng, Minhui Wang, Kai Huang, et al.
Information Fusion (2023) Vol. 102, pp. 102077-102077
Closed Access | Times Cited: 12

Showing 12 citing articles:

A semi-supervised weighted SPCA- and convolution KAN-based model for drug response prediction
Rui Miao, Bing-Jie Zhong, Xin-Yue Mei, et al.
Frontiers in Genetics (2025) Vol. 16
Open Access

Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access

Towards a robust multi-view information bottleneck using Cauchy–Schwarz divergence
Q Zhang, Mingfei Lu, Jingmin Xin, et al.
Information Fusion (2025), pp. 102934-102934
Closed Access

MOCapsNet: Multiomics Data Integration for Cancer Subtype Analysis Based on Dynamic Self-Attention Learning and Capsule Networks
Yuanyuan Zhang, Haoyu Zheng, Xiaokun Meng, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis
Xu Tian, Hong‐Dong Li, Hanhe Lin, et al.
Neural Networks (2025) Vol. 187, pp. 107343-107343
Closed Access

Drug side effects prediction via cross attention learning and feature aggregation
Zixiao Jin, Minhui Wang, Xiao Zheng, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123346-123346
Closed Access | Times Cited: 2

A hierarchical attention network integrating multi-scale relationship for drug response prediction
Xiaoqi Wang, Yuqi Wen, Yixin Zhang, et al.
Information Fusion (2024) Vol. 110, pp. 102485-102485
Closed Access | Times Cited: 2

Research on vacuum glass insulation performance prediction based on unsteady state multivariate data screening and multi-model fusion self-optimization
Xiaoling Li, Yuanqi Wang, Fuquan Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108237-108237
Closed Access | Times Cited: 1

Unveiling the World of Bioinformatics
Khushboo Dhiman, Hardik Dhiman
Advances in bioinformatics and biomedical engineering book series (2024), pp. 181-200
Closed Access | Times Cited: 1

Novel machine learning investigation for Buongiorno fluidic model with Sutterby nanomaterial
Maryam Pervaiz Khan, Chuan‐Yu Chang, Muhammad Asif Zahoor Raja, et al.
Tribology International (2024) Vol. 199, pp. 110009-110009
Closed Access | Times Cited: 1

Omics data classification using constitutive artificial neural network optimized with single candidate optimizer
S Madhan, Anbarasan Kalaiselvan
Network Computation in Neural Systems (2024), pp. 1-25
Closed Access

Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction
Wesam Ibrahim Hajim, Suhaila Zainudin, Kauthar Mohd Daud, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2520-e2520
Open Access

Cancer molecular subtyping using limited multi-omics data with missingness
Yongqi Bu, Jiaxuan Liang, Zhen Li, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 12, pp. e1012710-e1012710
Open Access

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