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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:

Combined mechanistic modeling and machine-learning approaches in systems biology – A systematic literature review
Anna Procopio, Giuseppe Cesarelli, Leandro Donisi, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107681-107681
Open Access | Times Cited: 23

Showing 23 citing articles:

Analysis of gene regulatory networks from gene expression using graph neural networks
Hakan T. Otal, Abdülhamit Subaşı, Furkan Kurt, et al.
Elsevier eBooks (2025), pp. 249-270
Closed Access
Combining simulation models and machine learning in healthcare management: strategies and applications
Alfonso Maria Ponsiglione, Paolo Zaffino, Carlo Ricciardi, et al.
Progress in Biomedical Engineering (2024) Vol. 6, Iss. 2, pp. 022001-022001
Closed Access | Times Cited: 3
Optimizing ODE-derived Synthetic Data for Transfer Learning in Dynamical Biological Systems
Julian Zabbarov, Simon Witzke, Maximilian Kleissl, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group
Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, et al.
International Journal of Approximate Reasoning (2024) Vol. 171, pp. 109206-109206
Open Access | Times Cited: 2
Postmortem metabolomics: influence of time since death on the level of endogenous compounds in human femoral blood. Necessary to be considered in metabolome study planning?
Andrea E. Steuer, Yannick Wartmann, Rena Schellenberg, et al.
Metabolomics (2024) Vol. 20, Iss. 3
Open Access | Times Cited: 2
Artificial Intelligence for Climate Change Biology: From Data Collection to Predictions
Ofir Levy, Shimon Shahar
Integrative and Comparative Biology (2024) Vol. 64, Iss. 3, pp. 953-974
Closed Access | Times Cited: 2
Machine Learning for Biomedical Applications
Giuseppe Cesarelli, Alfonso Maria Ponsiglione, Mario Sansone, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 790-790
Open Access | Times Cited: 2
Machine learning-based detection of DDoS attacks on IoT devices in multi-energy systems
Hesham A. Sakr, Mostafa M. Fouda, Ahmed F. Ashour, et al.
Egyptian Informatics Journal (2024) Vol. 28, pp. 100540-100540
Open Access | Times Cited: 2
Mechanism-aware and multimodal AI: beyond model-agnostic interpretation
Annalisa Occhipinti, Suraj Verma, Le Minh Thao Doan, et al.
Trends in Cell Biology (2023) Vol. 34, Iss. 2, pp. 85-89
Open Access | Times Cited: 7
How Can Proteomics Help to Elucidate the Pathophysiological Crosstalk in Muscular Dystrophy and Associated Multi-System Dysfunction?
Paul Dowling, Capucine Trollet, Elisa Négroni, et al.
Proteomes (2024) Vol. 12, Iss. 1, pp. 4-4
Open Access | Times Cited: 1
A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals
Moein E. Samadi, Jorge Guzman-Maldonado, Kateryna Nikulina, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Investigation of the link between first-order kinetic models of the in vitro digestion of native starches and the accompanying changes in their crystallinity and structure
Leonardo Ignazio MULARGIA, Elien Lemmens, Stijn Reyniers, et al.
Carbohydrate Polymers (2024) Vol. 343, pp. 122440-122440
Closed Access | Times Cited: 1
Modelling the age pattern of fertility: an individual-level approach
Daniel Ciganda, Nicolas Todd
Royal Society Open Science (2024) Vol. 11, Iss. 11
Open Access | Times Cited: 1
Functional selectivity of Receptor Tyrosine Kinases regulates distinct cellular outputs
Sakim S. Samad, Jean‐Marc Schwartz, Chiara Francavilla
Frontiers in Cell and Developmental Biology (2024) Vol. 11
Open Access
Development of an Advanced Biology Learning Website in the Fields of Biotechnology, Biochemistry, and Biomedicine with the STEAM Approach
Hendra Susanto, Ibrohim Ibrohim, Andi Basuki, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2024) Vol. 18, Iss. 07, pp. 158-172
Open Access
Towards a Model-Based Predictive Control of Saccharomyces Cerevisiae Cultivation Using Multiple Carbon Sources and Urea for Mini-Bioreactor Actuated by Peltier Module
Jhonatan Valencia Velásquez, Alejandro Martinez Guerrero, Juan Jose Garcia Sanchez, et al.
(2024)
Closed Access
The response of biology education program students to differentiated learning as the implementation of independent learning that supports creativity
Ika Sukmawati, Setiyo Prajoko, Muhammad Radian Nur Alamsyah
AIP conference proceedings (2024) Vol. 3116, pp. 070002-070002
Open Access
Coupling quantitative systems pharmacology modelling to machine learning and artificial intelligence for drug development: its pAIns and gAIns
Núria Folguera-Blasco, Florencia A. T. Boshier, Aydar Uatay, et al.
Frontiers in Systems Biology (2024) Vol. 4
Open Access
Investigating and forecasting infectious disease dynamics using epidemiological and molecular surveillance data
Gerardo Chowell, Pavel Skums
Physics of Life Reviews (2024) Vol. 51, pp. 294-327
Closed Access
Enhancing drug-target interaction predictions in context of neurodegenerative diseases using bidirectional long short-term memory in male Swiss albino mice pharmaco-EEG analysis
Shahnawaz Qureshi, Syed Muhammad Zeeshan Iqbal, Asif Ameer, et al.
Heliyon (2024) Vol. 10, Iss. 21, pp. e39279-e39279
Open Access
Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve
Anna Procopio, Marianna Rania, Paolo Zaffino, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 258, pp. 108477-108477
Open Access
Deciphering Plant Transcriptomes: Leveraging Machine Learning for Deeper Insights
Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly
Current Plant Biology (2024), pp. 100432-100432
Open Access
Machine Learning and Omic Data for Prediction of Health and Chronic Diseases
Mark Olenik, Handan Melike Dönertaş
Elsevier eBooks (2024)
Closed Access
A Hybrid Modeling Framework for Generalizable and Interpretable Predictions of ICU Mortality: Leveraging ICD Codes in a Multi-Hospital Study of Mechanically Ventilated Influenza Patients
Moein E. Samadi, Jorge Guzman-Maldonado, Kateryna Nikulina, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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