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:

GA-Optimized Multivariate CNN-LSTM Model for Predicting Multi-channel Mobility in the COVID-19 Pandemic
Harya Widiputra
Emerging Science Journal (2021) Vol. 5, Iss. 5, pp. 619-635
Open Access | Times Cited: 17

Showing 17 citing articles:

Short-term global horizontal irradiance forecasting using weather classified categorical boosting
Ubaid Ahmed, Ahsan Raza Khan, Anzar Mahmood, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111441-111441
Open Access | Times Cited: 7

Brightness as an Augmentation Technique for Image Classification
Ibrahem Kandel, Mauro Castelli, Luca Manzoni
Emerging Science Journal (2022) Vol. 6, Iss. 4, pp. 881-892
Open Access | Times Cited: 35

Application of machine learning models in assessing the hydrological changes under climate change in the transboundary 3S River Basin
Quyen Nguyen, Sangam Shrestha, Suwas Ghimire, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 8, pp. 2902-2918
Open Access | Times Cited: 9

COVID-19 vaccine prediction based on an interpretable CNN-LSTM model with three-stage feature engineering
Lubna Altarawneh, Hao Wang, Yu Jin
Health and Technology (2024) Vol. 14, Iss. 6, pp. 1241-1261
Closed Access | Times Cited: 2

Addressing the Impact of COVID-19 and Non-Pharmaceutical for Perception Tourism Using Frequentist PLS-SEMs
Pahrudin Pahrudin, Li-Wei Liu, Shaoyu Li, et al.
Emerging Science Journal (2021) Vol. 5, pp. 197-214
Open Access | Times Cited: 9

Using Correlation to Explore the Impact of Corona Virus Disease on Socioeconomics
Fitriadi Fitriadi, Jiuhardi Jiuhardi, Arfiah Busari, et al.
Emerging Science Journal (2022) Vol. 6, pp. 165-180
Open Access | Times Cited: 6

Development of CNN-LSTM combinational architecture for COVID-19 detection
Abhinav Narula, Vaegae Naveen Kumar
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 3, pp. 2645-2656
Open Access | Times Cited: 6

Multivariate Variance-Based Genetic Ensemble Learning for Satellite Anomaly Detection
Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu
IEEE Transactions on Vehicular Technology (2023), pp. 1-10
Closed Access | Times Cited: 3

Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape
Gyananjaya Tripathy, Aakanksha Sharaff
Knowledge and Information Systems (2024) Vol. 66, Iss. 11, pp. 6761-6783
Closed Access

Globalizing Food Items Based on Ingredient Consumption
Yukthakiran Matla, Rohith Rao Yannamaneni, George Pappas
Sustainability (2024) Vol. 16, Iss. 17, pp. 7524-7524
Open Access

A Novel Approach to Predict the Asian Exchange Stock Market Index Using Artificial Intelligence
Rohit Salgotra, Harmanjeet Singh, Gurpreet Kaur, et al.
Algorithms (2024) Vol. 17, Iss. 10, pp. 457-457
Open Access

Multiobjective evolutionary computation for high-order genetic interactions
José M. Granado-Criado, Álvaro Rubio‐Largo, Sergio Santander‐Jiménez, et al.
Applied Soft Computing (2022) Vol. 128, pp. 109538-109538
Closed Access | Times Cited: 3

Parallel multivariate deep learning models for time-series prediction: A comparative analysis in Asian stock markets
Harya Widiputra, Edhi Juwono
IAES International Journal of Artificial Intelligence (2023) Vol. 13, Iss. 1, pp. 475-475
Open Access | Times Cited: 1

A two-stage deep counting for bacterial colonies from multi-sources
Shijian Liu, Pin-Chao Huang, Xing-Sheng Liu, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109706-109706
Closed Access | Times Cited: 2

GA-Stacking: A New Stacking-Based Ensemble Learning Method to Forecast the COVID-19 Outbreak
Walaa N. Ismail, Hessah A. Alsalamah, Ebtsam Mohamed
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 2, pp. 3945-3976
Open Access | Times Cited: 2

Covid-19 Epidemic Trend Prediction Based on CNN-StackBiLSTM
Zhenyu Li, Yang Wang, Yanwei Wang, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2022), pp. 970-975
Closed Access | Times Cited: 1

Infectious Disease Forecasting using Multivariate Incomplete Time-series: A Hybrid Architecture with Stacked Dilated Causal Convolutions
Brandon Mossop, Quazi Abidur Rahman
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 16, pp. 4220-4227
Closed Access

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