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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 Study of Optimization in Deep Neural Networks for Regression
Chieh-Huang Chen, Jung-Pin Lai, Yu-Ming Chang, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3071-3071
Open Access | Times Cited: 13

Showing 13 citing articles:

Theoretical investigations on analysis and optimization of freeze drying of pharmaceutical powder using machine learning modeling of temperature distribution
Turki Al Hagbani, Jawaher Abdullah Alamoudi, Majed A. Bajaber, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A comprehensive review of dwarf mongoose optimization algorithm with emerging trends and future research directions
Olanrewaju L. Abraham, Md Asri Ngadi
Decision Analytics Journal (2025), pp. 100551-100551
Open Access
A Hybrid Physics–Machine Learning Approach for Modeling Plastic–Bed Interactions during Fluidized Bed Pyrolysis
Stefano Iannello, Andrea Friso, Federico Galvanin, et al.
Energy & Fuels (2025) Vol. 39, Iss. 9, pp. 4549-4564
Open Access
Bionic gear design and multiple performance improvements of splash lubrication inspired by fan palm leaves
Yuxiao Tang, Qian Xu, Konghua Yang, et al.
International Journal of Heat and Mass Transfer (2025) Vol. 242, pp. 126879-126879
Closed Access
EDA-ML: Graph Representation Learning Framework for Digital IC Design Automation
Pratik Shrestha, Ioannis Savidis
(2024), pp. 1-7
Closed Access | Times Cited: 4
Novel machine learning-driven optimizing decoding solutions for FPGA-based time-to-digital converters
F. Garzetti, N. Lusardi, E. Ronconi, et al.
Measurement (2024) Vol. 238, pp. 115313-115313
Open Access | Times Cited: 2
A Comprehensive Framework for Estimating the Remaining Useful Life of Li-ion Batteries under Limited Data Conditions with no Temporal Identifier
Camilo Lopez-Salazar, Stephen Ekwaro-Osire, Shweta Dabetwar, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110517-110517
Closed Access | Times Cited: 2
Deep neural network-based prediction of tsunami wave attenuation by mangrove forests
Didit Adytia, Dede Tarwidi, Deni Saepudin, et al.
MethodsX (2024) Vol. 13, pp. 102791-102791
Open Access | Times Cited: 1
Forecasting Flower Prices by Long Short-Term Memory Model with Optuna
Chieh-Huang Chen, Ying-Lei Lin, Ping‐Feng Pai
Electronics (2024) Vol. 13, Iss. 18, pp. 3646-3646
Open Access
Predicting nighttime black ice using atmospheric data for efficient winter road maintenance patrols
Jinhwan Jang
Transportation Research Interdisciplinary Perspectives (2024) Vol. 29, pp. 101299-101299
Closed Access
Hybrid modeling techniques for predicting chemical oxygen demand in wastewater treatment: a stacking ensemble learning approach with neural networks
S Ramya, S Srinath, Pushpa Tuppad
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 12
Closed Access
Machine Learning in Integrated Circuit Substrate Electrical Test (IMPACT 2023)
Jung-Pin Lai, Ying-Lei Lin, Yuhui Liu, et al.
(2023), pp. 178-182
Closed Access
FPGA implementation and verification of efficient and reconfigurable CNN-LSTM accelerator design
Hongmin He, Danfeng Qiu, Fen Ge
(2023), pp. 245-250
Closed Access
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