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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:

Machine Learning for Bioinformatics
K. Aditya Shastry, H. A. Sanjay
Algorithms for intelligent systems (2020), pp. 25-39
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Applications of artificial intelligence in engineering and manufacturing: a systematic review
Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori, et al.
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 6, pp. 1581-1601
Closed Access | Times Cited: 143
RNA-seq data science: From raw data to effective interpretation
Dhrithi Deshpande, Karishma Chhugani, Yutong Chang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 67
Application of machine learning techniques for predicting survival in ovarian cancer
Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 39
Exploring the multifunctional roles of quantum dots for unlocking the future of biology and medicine
Muhammad Kashif Ali, Saher Javaid, Haseeb Afzal, et al.
Environmental Research (2023) Vol. 232, pp. 116290-116290
Closed Access | Times Cited: 31
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem
Luigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 23
Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Samin Babaei Rikan, Amir Sorayaie Azar, Amin Naemi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
COVID-19 diagnosis from routine blood tests using artificial intelligence techniques
Samin Babaei Rikan, Amir Sorayaie Azar, Ali Ghafari, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103263-103263
Open Access | Times Cited: 46
Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions
Padhmanand Sudhakar, Kathleen Machiels, Bram Verstockt, et al.
Frontiers in Microbiology (2021) Vol. 12
Open Access | Times Cited: 44
Machine learning accelerates quantum mechanics predictions of molecular crystals
Yanqiang Han, Imran Ali, Zhilong Wang, et al.
Physics Reports (2021) Vol. 934, pp. 1-71
Closed Access | Times Cited: 33
Surface quality prediction by machine learning methods and process parameter optimization in ultra-precision machining of AISI D2 using CBN tool
Ugonna Loveday Adizue, Amanuel Diriba Tura, Elly Ogutu Isaya, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 3-4, pp. 1375-1394
Open Access | Times Cited: 15
Genomic and algorithm-based predictive risk assessment models for benzene exposure
Minyun Jiang, Na Cai, Dora Juan Juan Hu, et al.
Frontiers in Public Health (2025) Vol. 12
Open Access
Ventilator pressure prediction employing voting regressor with time series data of patient breaths
Ali Raza, Furqan Rustam, Hafeez Ur Rehman Siddiqui, et al.
Health Informatics Journal (2025) Vol. 31, Iss. 1
Open Access
Exploring the correlation between design of experiments and machine learning prediction accuracy in ultra-precision hard turning of AISI D2 with CBN insert: a comparative study of Taguchi and full factorial designs
Ugonna Loveday Adizue, Márton Takács
The International Journal of Advanced Manufacturing Technology (2025)
Open Access
MRI-Derived Variables Combined with Machine Learning for Pulmonary Hypertension Risk Prediction: A Retrospective Analysis
Hongxia Jiang, Fan Yang, Changrong Wu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
TCGEx: a powerful visual interface for exploring and analyzing cancer gene expression data
Muhammet Emre Kus, Cagatay Sahin, Emre Kılıç, et al.
EMBO Reports (2025)
Open Access
Perspective Chapter: Technological Advances in Population Genetics
Aman Ullah
IntechOpen eBooks (2025)
Closed Access
DataSAIL: Data Splitting Against Information Leakage
Roman Joeres, David B. Blumenthal, Olga V. Kalinina
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 12
Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach
Ali Raza, Furqan Rustam, Hafeez Ur Rehman Siddiqui, et al.
Genes (2022) Vol. 14, Iss. 1, pp. 71-71
Open Access | Times Cited: 18
A Comprehensive Review of Computation-Based Metal-Binding Prediction Approaches at the Residue Level
Nan Ye, Feng Zhou, Xingchen Liang, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 14
K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes
Simón Orozco-Arias, Mariana S. Candamil-Cortés, Paula A. Jaimes, et al.
PeerJ (2021) Vol. 9, pp. e11456-e11456
Open Access | Times Cited: 18
Discretization-Based Feature Selection as a Bilevel Optimization Problem
Rihab Said, Maha Elarbi, Slim Bechikh, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 4, pp. 893-907
Open Access | Times Cited: 13
Domain adaptation in small-scale and heterogeneous biological datasets
Seyedmehdi Orouji, Martin C. Liu, Tal Korem, et al.
Science Advances (2024) Vol. 10, Iss. 51
Open Access | Times Cited: 2
Recent Advancement and Challenges in Deep Learning, Big Data in Bioinformatics
Ajay Sharma, Raj Kumar
Studies in big data (2022), pp. 251-284
Closed Access | Times Cited: 11
OneHotEncoding and LSTM-based deep learning models for protein secondary structure prediction
Vamsidhar Enireddy, C. Karthikeyan, D. Vijendra Babu
Soft Computing (2022) Vol. 26, Iss. 8, pp. 3825-3836
Closed Access | Times Cited: 8
Success Cases and Lessons Learned After 20 Years of Oilfield Digitalization Efforts
Luigi Saputelli, Juan Carlos Durán, Francklin Rivas, et al.
SPE Annual Technical Conference and Exhibition (2024) Vol. 18
Closed Access | Times Cited: 1
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