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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:

A hybrid CNN-LSTM model for pre-miRNA classification
Abdulkadir Taşdelen, Baha Şen
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision
Nikoleta Manakitsa, George S. Maraslidis, Lazaros Moysis, et al.
Technologies (2024) Vol. 12, Iss. 2, pp. 15-15
Open Access | Times Cited: 55
Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance
Vigneashwara Pandiyan, Giulio Masinelli, Navarre Claire, et al.
Additive manufacturing (2022) Vol. 58, pp. 103007-103007
Open Access | Times Cited: 50
DDoS Attack Intrusion Detection System Based on Hybridization of CNN and LSTM
Ahmet Sardar Ahmed Issa, Zafer Albayrak
Acta Polytechnica Hungarica (2023) Vol. 20, Iss. 2, pp. 105-123
Open Access | Times Cited: 26
Determinants of Functional MicroRNA Targeting
Hyeonseo Hwang, Hee Ryung Chang, Daehyun Baek
Molecules and Cells (2023) Vol. 46, Iss. 1, pp. 21-32
Open Access | Times Cited: 23
Machine learning based approach for forecasting emission parameters of mixed flow turbofan engine at high power modes
Hakan Aygün, Ömer Osman Dursun, Suat Toraman
Energy (2023) Vol. 271, pp. 127026-127026
Closed Access | Times Cited: 23
Comparative Analysis of Modified Partial Least Squares Regression and Hybrid Deep Learning Models for Predicting Protein Content in Perilla (Perilla frutescens L.) Seed Meal Using NIR Spectroscopy
Simardeep Kaur, Naseeb Singh, Preety Dagar, et al.
Food Bioscience (2024) Vol. 61, pp. 104821-104821
Closed Access | Times Cited: 8
Enhancing Legal Sentiment Analysis: A Convolutional Neural Network–Long Short-Term Memory Document-Level Model
Bola Abimbola, Enrique de La Cal Marin, Qing Tan
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 877-897
Open Access | Times Cited: 7
The machine learning in lithium-ion batteries: A review
Liyuan Zhang, Zijun Shen, S. Mohammad Sajadi, et al.
Engineering Analysis with Boundary Elements (2022) Vol. 141, pp. 1-16
Closed Access | Times Cited: 25
GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides
Jaskaran Singh, Narendra N. Khanna, Ranjeet Kumar Rout, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
pmiRScan: a LightGBM based method for prediction of animal pre-miRNAs
A. S. Prasanna Venkatesan, Jolly Basak, Ranjit Prasad Bahadur
Functional & Integrative Genomics (2025) Vol. 25, Iss. 1
Closed Access
A deep learning framework for automated and generalized synaptic event analysis
Philipp S O’Neill, Martıń Baccino-Calace, Peter Rupprecht, et al.
(2025)
Open Access
Mitochondria-associated non-coding RNAs and their impact on drug resistance
Xingna An, Lina Sun, Huan Zheng, et al.
Frontiers in Pharmacology (2025) Vol. 16
Open Access
A deep learning framework for automated and generalized synaptic event analysis
Philipp S O’Neill, Martıń Baccino-Calace, Peter Rupprecht, et al.
eLife (2025) Vol. 13
Open Access
AI technologies shaping the future of the cocoa industry from farm to fork: a comprehensive review
Hemasri Senthil, Madhura Janve
Food Science and Biotechnology (2025)
Closed Access
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria
Robson Parmezan Bonidia, Anderson P. Avila-Santos, Breno L. S. de Almeida, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 21
MicroRNA biosensors in lung cancer
Donya Shaterabadi, Maryam Zamani Sani, Fereshteh Rahdan, et al.
Clinica Chimica Acta (2023) Vol. 552, pp. 117676-117676
Closed Access | Times Cited: 12
Smart Water Meter Based on Deep Neural Network and Undersampling for PWNC Detection
Marco Carratù, Salvatore Dello Iacono, Giuseppe Di Leo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 10
MicroRNA biosensors for detection of gastrointestinal cancer
Nafiseh Dorosti, Seyyed Hossein Khatami, Neda Karami, et al.
Clinica Chimica Acta (2023) Vol. 541, pp. 117245-117245
Closed Access | Times Cited: 9
A deep learning framework for automated and generalized synaptic event analysis
Philipp S O’Neill, Martıń Baccino-Calace, Peter Rupprecht, et al.
eLife (2024) Vol. 13
Open Access | Times Cited: 3
Network Intrusion Detection Systems: A Systematic Literature Review o f Hybrid Deep Learning Approaches
Stephen Kahara Wanjau, Geoffrey Mariga Wambugu, Aaron Mogeni Oirere
International Journal of Emerging Science and Engineering (2022) Vol. 10, Iss. 7, pp. 1-16
Open Access | Times Cited: 15
Data-Driven Air Quality and Environmental Evaluation for Cattle Farms
Jennifer Shueh-Inn Hu, Rushikesh Jagtap, Rishikumar Ravichandran, et al.
Atmosphere (2023) Vol. 14, Iss. 5, pp. 771-771
Open Access | Times Cited: 7
Enhancing Security in Connected Medical IoT Networks Through Deep Learning-Based Anomaly Detection
Ismaila Sy, Birahime Diouf, Abdou Khadre Diop, et al.
Lecture notes in computer science (2024), pp. 87-99
Closed Access | Times Cited: 2
Machine Learning Strategies in MicroRNA Research: Bridging Genome to Phenome
Sonet Daniel Thomas, Krithika Vijayakumar, Levin John, et al.
OMICS A Journal of Integrative Biology (2024) Vol. 28, Iss. 5, pp. 213-233
Closed Access | Times Cited: 2
Towards high-accuracy classifying attention-deficit/hyperactivity disorders using CNN-LSTM model
Cheng Wang, Xin Wang, Xiaobei Jing, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 4, pp. 046015-046015
Open Access | Times Cited: 11
Automatic classification of signal regions in 1H Nuclear Magnetic Resonance spectra
Giulia Fischetti, Nicolas Schmid, Simon Bruderer, et al.
Frontiers in Artificial Intelligence (2023) Vol. 5
Open Access | Times Cited: 6
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