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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:

Multimodal data fusion for cancer biomarker discovery with deep learning
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 351-362
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Thanveer Shaik, Xiaohui Tao, Lin Li, et al.
Information Fusion (2023) Vol. 102, pp. 102040-102040
Open Access | Times Cited: 49
Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence
Chuanjun Zhan, Zhenxue Dai, Shangxian Yin, et al.
Water Research (2024) Vol. 257, pp. 121679-121679
Closed Access | Times Cited: 33
Deep learning based multimodal biomedical data fusion: An overview and comparative review
Junwei Duan, Jiaqi Xiong, Yinghui Li, et al.
Information Fusion (2024) Vol. 112, pp. 102536-102536
Closed Access | Times Cited: 32
Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies
Fatemeh Haghayegh, Alireza Norouziazad, Elnaz Haghani, et al.
Advanced Science (2024)
Open Access | Times Cited: 16
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 11
A machine learning approach to leveraging electronic health records for enhanced omics analysis
Samson Mataraso, Camilo Espinosa, David Seong, et al.
Nature Machine Intelligence (2025) Vol. 7, Iss. 2, pp. 293-306
Open Access | Times Cited: 2
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
Danuta Cembrowska-Lech, Adrianna Krzemińska, Tymoteusz Miller, et al.
Biology (2023) Vol. 12, Iss. 10, pp. 1298-1298
Open Access | Times Cited: 29
Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability
Zhenjia Chen, Zhenyuan Lin, Ji Yang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
High-throughput analysis of hazards in novel food based on the density functional theory and multimodal deep learning
Lin Shi, Wei Jia, Rong Zhang, et al.
Food Chemistry (2024) Vol. 442, pp. 138468-138468
Closed Access | Times Cited: 11
Harnessing multimodal data fusion to advance accurate identification of fish feeding intensity
Zhuangzhuang Du, Meng Cui, Xianbao Xu, et al.
Biosystems Engineering (2024) Vol. 246, pp. 135-149
Closed Access | Times Cited: 9
A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification
Fatima-Zahrae Nakach, Ali Idri, Evgin Göçeri
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 9
Multimodal bioimaging across disciplines and scales: challenges, opportunities and breaking down barriers
Johanna Bischof, Georgina Fletcher, Paul Verkade, et al.
npj Imaging (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 8
Moving towards genome-wide data integration for patient stratification with Integrate Any Omics
Shihao Ma, Andy G.X. Zeng, Benjamin Haibe‐Kains, et al.
Nature Machine Intelligence (2025) Vol. 7, Iss. 1, pp. 29-42
Closed Access | Times Cited: 1
Nanotheranostics with Radionuclides for Cancer Diagnosis and Therapy
Minhui Cui, Mengmeng Zhu, Dongsheng Tang, et al.
Advanced Functional Materials (2025)
Closed Access | Times Cited: 1
Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction
Xianghao Zhan, Qinmei Xu, Yuanning Zheng, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 2, pp. e1012803-e1012803
Open Access | Times Cited: 1
Interpretable vertical federated learning with privacy-preserving multi-source data integration for prognostic prediction
Qingyong Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110408-110408
Closed Access | Times Cited: 1
Microfluidics for Profiling miRNA Biomarker Panels in AI-Assisted Cancer Diagnosis and Prognosis
Sangeetha Muthamilselvan, Priyannth Ramasami Sundharbaabu, Ashok Palaniappan
Technology in Cancer Research & Treatment (2023) Vol. 22
Open Access | Times Cited: 19
Big data and artificial intelligence in cancer research
Xifeng Wu, Wenyuan Li, Huakang Tu
Trends in cancer (2023) Vol. 10, Iss. 2, pp. 147-160
Closed Access | Times Cited: 18
Toward Unified AI Drug Discovery with Multimodal Knowledge
Yizhen Luo, Xing Yi Liu, Kai Yang, et al.
Health Data Science (2024) Vol. 4
Open Access | Times Cited: 7
Grading diffuse glioma based on 2021 WHO grade using self-attention-base deep learning architecture: variable Vision Transformer (vViT)
Takuma Usuzaki, Kengo Takahashi, Ryusei Inamori, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106001-106001
Open Access | Times Cited: 7
PMFN-SSL: Self-supervised learning-based progressive multimodal fusion network for cancer diagnosis and prognosis
L. K. Li, Hudan Pan, Yong Liang, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111502-111502
Closed Access | Times Cited: 7
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging
Aurélie Pahud de Mortanges, Haozhe Luo, Shelley Zixin Shu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
Identifying key factors for predicting O6-Methylguanine-DNA methyltransferase status in adult patients with diffuse glioma: a multimodal analysis of demographics, radiomics, and MRI by variable Vision Transformer
Takuma Usuzaki, Kengo Takahashi, Ryusei Inamori, et al.
Neuroradiology (2024) Vol. 66, Iss. 5, pp. 761-773
Open Access | Times Cited: 6
Cross Branch Co-Attention Network multimodal models based on Raman and FTIR spectroscopy for diagnosis of multiple selected cancers
Xuguang Zhou, Chen Chen, Enguang Zuo, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112204-112204
Closed Access | Times Cited: 6
MMDTA: A Multimodal Deep Model for Drug-Target Affinity with a Hybrid Fusion Strategy
Kai-Yang Zhong, Meng‐Liang Wen, Fanfang Meng, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2878-2888
Closed Access | Times Cited: 13
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