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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:

EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks
Javier Poyatos, Daniel Molina, Aritz D. Martinez, et al.
Neural Networks (2022) Vol. 158, pp. 59-82
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

PAL-BERT: An Improved Question Answering Model
Wenfeng Zheng, Siyu Lu, Zhuohang Cai, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 139, Iss. 3, pp. 2729-2745
Open Access | Times Cited: 56
Deep neural networks in the cloud: Review, applications, challenges and research directions
Kit Yan Chan, Bilal Abu-Salih, Raneem Qaddoura, et al.
Neurocomputing (2023) Vol. 545, pp. 126327-126327
Open Access | Times Cited: 47
Using transfer learning-based plant disease classification and detection for sustainable agriculture
Wasswa Shafik, Ali Tufail, Liyanage C. De Silva, et al.
BMC Plant Biology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 32
Genetic high-gain controller to improve the position perturbation attenuation and compact high-gain controller to improve the velocity perturbation attenuation in inverted pendulums
José de Jesús Rubio, Mario Hernández, Francisco Javier Rosas, et al.
Neural Networks (2023) Vol. 170, pp. 32-45
Closed Access | Times Cited: 28
TL-YOLOv8: A Blueberry Fruit Detection Algorithm Based on Improved YOLOv8 and Transfer Learning
Rongli Gai, Y. K. Liu, Guohui Xu
IEEE Access (2024) Vol. 12, pp. 86378-86390
Open Access | Times Cited: 8
Metaheuristics for pruning convolutional neural networks: A comparative study
Vikas Palakonda, Jamshid Tursunboev, Jae‐Mo Kang, et al.
Expert Systems with Applications (2025), pp. 126326-126326
Closed Access
ARPruning: An automatic channel pruning based on attention map ranking
Tongtong Yuan, Zulin Li, Bo Liu, et al.
Neural Networks (2024) Vol. 174, pp. 106220-106220
Closed Access | Times Cited: 4
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey
Jihene Tmamna, Emna Ben Ayed, Rahma Fourati, et al.
Cognitive Computation (2024) Vol. 16, Iss. 6, pp. 2931-2952
Closed Access | Times Cited: 3
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness
Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110757-110757
Open Access | Times Cited: 9
Multi-object detection and behavior tracking of sea cucumbers with skin ulceration syndrome based on deep learning
Fengli Ge, Kui Xuan, Peng Lou, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 2
Pruning techniques for artificial intelligence networks: a deeper look at their engineering design and bias: the first review of its kind
Lopamudra Mohanty, Ashish Kumar, Vivek Mehta, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Multi-objective evolutionary architectural pruning of deep convolutional neural networks with weights inheritance
King-Thom Chung, C.K.M. Lee, Y.P. Tsang, et al.
Information Sciences (2024) Vol. 685, pp. 121265-121265
Closed Access | Times Cited: 2
Evolutionary neuron-level transfer learning for QoT estimation in optical networks
Yuhang Zhou, Zhiqun Gu, Jiawei Zhang, et al.
Journal of Optical Communications and Networking (2024) Vol. 16, Iss. 4, pp. 432-432
Closed Access | Times Cited: 1
PURF: Improving teacher representations by imposing smoothness constraints for knowledge distillation
Md. Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111579-111579
Closed Access | Times Cited: 1
Improved RBM‐based feature extraction for credit risk assessment with high dimensionality
Jianxin Zhu, Xiong Wu, Lean Yu, et al.
International Transactions in Operational Research (2024)
Closed Access | Times Cited: 1
Unsupervised domain adaptation with weak source domain labels via bidirectional subdomain alignment
Heng Zhou, Ping Zhong, Daoliang Li, et al.
Neural Networks (2024) Vol. 178, pp. 106418-106418
Closed Access | Times Cited: 1
Knowledge Distillation in Granular Fuzzy Models by Solving Fuzzy Relation Equations
Hanna Rakytyanska
Studies in computational intelligence (2023), pp. 95-133
Closed Access | Times Cited: 2
Deep Learning Neural Networks in the Cloud
Burhan Humayun Awan
International Journal of Advanced engineering Management and Science (2023) Vol. 9, Iss. 10, pp. 09-26
Open Access | Times Cited: 2
A Novel Learning Approach to Remove Oscillations in First‐Order Takagi–Sugeno Fuzzy System: Gradient Descent‐Based Neuro‐Fuzzy Algorithm Using Smoothing Group Lasso Regularization
Yan Liu, Rui Wang, Yuanquan Liu, et al.
Advanced Theory and Simulations (2023) Vol. 7, Iss. 2
Closed Access | Times Cited: 2
Genetic Algorithm-Based Pruning for Efficient DenseNet Architectures
Jingeun Kim, Yong-Hyuk Kim, Yourim Yoon
(2024), pp. 644-647
Closed Access
Evolutionary Techniques in Making Efficient Deep-Learning Framework: A Review
Shubham Joshi, Millie Pant, Kusum Deep
Computational intelligence methods and applications (2024), pp. 87-103
Closed Access
Identification of internal voids in pavement based on improved knowledge distillation technology
Kan Qian, Xing Liu, Anxin Meng, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03555-e03555
Open Access
Design of compensation algorithms for zero padding and its application to a patch based deep neural network
Safi Ullah, Seong-Ho Song
PeerJ Computer Science (2024) Vol. 10, pp. e2287-e2287
Open Access
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression
Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 31, pp. 1-8
Closed Access
Plant Disease Identification Based on Encoder–Decoder Model
Wenfeng Feng, Guoying Sun, Xin Zhang
Agronomy (2024) Vol. 14, Iss. 10, pp. 2208-2208
Open Access
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