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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:

The promise of explainable deep learning for omics data analysis: Adding new discovery tools to AI
Mariangela Santorsola, Francesco Lescai
New Biotechnology (2023) Vol. 77, pp. 1-11
Open Access | Times Cited: 20

Showing 20 citing articles:

Improving operations through a lean AI paradigm: a view to an AI-aided lean manufacturing via versatile convolutional neural network
Mohammad Shahin, Mazdak Maghanaki, Ali Hosseinzadeh, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 11-12, pp. 5343-5419
Closed Access | Times Cited: 9
Enhancing transparency of omics data analysis with the Evolutionary Multi-Test Tree and Relative Expression
Marcin Czajkowski, Krzysztof Jurczuk, Marek Krętowski
Expert Systems with Applications (2025), pp. 127131-127131
Closed Access | Times Cited: 1
Proteomic approaches advancing targeted protein degradation
Gajanan Sathe, Gopal P. Sapkota
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 11, pp. 786-801
Open Access | Times Cited: 22
Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding
Ignacio Chang-Brahim, Lukas J. Koppensteiner, Lorenzo Beltrame, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 6
Delta dual‑region DCE-MRI radiomics from breast masses predicts axillary lymph node response after neoadjuvant therapy for breast cancer
Qiao Zeng, Yiwen Deng, Jiang Nan, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Graph-based 3D spatial gene neighborhood networks of single cells in gels and tissues
Zhou Fang, Kelsey Krusen, Henry D. Priest, et al.
BME Frontiers (2025) Vol. 6
Open Access
Microbial Ecotoxicology—40 Years on
Tim Ford
Life (2025) Vol. 15, Iss. 4, pp. 514-514
Open Access
AI and omics technologies in biobanking: Applications and challenges for public health
Pedro Venturini, Paula Lobato de Faria, João V. Cordeiro
Public Health (2025) Vol. 243, pp. 105726-105726
Open Access
Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics
Gabriele Magon, Valeria De Rosa, Matteo Martina, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 10
Bioinformatics and machine learning to support nanomaterial grouping
Aileen Bahl, Sabina Halappanavar, Wendel Wohlleben, et al.
Nanotoxicology (2024) Vol. 18, Iss. 4, pp. 373-400
Open Access | Times Cited: 3
Progress in the application of artificial intelligence in skin wound assessment and prediction of healing time
Mingyao Chen, Ming-Qi Cao, Tian‐Ying Xu
American Journal of Translational Research (2024) Vol. 16, Iss. 7, pp. 2765-2776
Open Access | Times Cited: 3
Multimodal deep learning as a next challenge in nutrition research: tailoring fermented dairy products based on cytidine diphosphate-diacylglycerol synthase-mediated lipid metabolism
Xixuan Wu, Wei Jia
Critical Reviews in Food Science and Nutrition (2023), pp. 1-12
Closed Access | Times Cited: 9
Interpretable and explainable predictive machine learning models for data-driven protein engineering
David Medina-Ortiz, Ashkan Khalifeh, Hoda Anvari-Kazemabad, et al.
Biotechnology Advances (2024) Vol. 79, pp. 108495-108495
Open Access | Times Cited: 2
The future of equine semen analysis
Fernando J. Peña, Francisco E. Martín‐Cano, Laura Becerro‐Rey, et al.
Reproduction Fertility and Development (2024) Vol. 36, Iss. 6
Closed Access | Times Cited: 1
Early and noninvasive prediction of response to neoadjuvant therapy for breast cancer via longitudinal ultrasound and MR deep learning: A multicentre study
Qiao Zeng, Lan Liu, Chongwu He, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 1
Enhancing multi-omics data classification with relative expression analysis and decision trees
Marcin Czajkowski, Krzysztof Jurczuk, Marek Krętowski
Journal of Computational Science (2024), pp. 102460-102460
Closed Access | Times Cited: 1
Metabolomics-Driven Prediction of Vegetable Food Metabolite Patterns: Advances in Machine Learning Approaches
Eman Shawky, Wei Zhu, Jingkui Tian, et al.
Food Reviews International (2024), pp. 1-30
Closed Access
Opportunities, challenges and future perspectives of using bioinformatics and artificial intelligence techniques on tropical disease identification using omics data
Sugandima Vidanagamachchi, K. M. G. T. R. Waidyarathna
Frontiers in Digital Health (2024) Vol. 6
Open Access
Interpretable deep learning framework for understanding molecular changes in human brains with Alzheimer’s disease: implications for microglia activation and sex differences
Maitry Ronakbhai Trivedi, Amogh Manoj Joshi, Jay Shah, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
生命全景时空图谱：助力中医药学原理的精准解读
Herong Cui, Jiang Yin, YiTing Wang, et al.
Scientia Sinica Vitae (2024)
Open Access
Optimal Brain Dissection in Dense Autoencoders: Towards Determining Feature Importance in -Omics Data
F. Amin, Lisa Van den Broeck, Ive De Smet, et al.
(2023), pp. 1-8
Closed Access
Application of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) Algorithm in Gold Price Prediction
Ni Putu Juni Rahayu Dewi, Ni Luh Wiwik Sri Rahayu Ginantra, I Wayan Agus Surya Darma, et al.
2018 6th International Conference on Cyber and IT Service Management (CITSM) (2023), pp. 1-6
Closed Access
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