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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:

Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
Zhenfang He, Qingchun Guo, Zhaosheng Wang, et al.
Atmosphere (2022) Vol. 13, Iss. 8, pp. 1221-1221
Open Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

Elevating Hourly PM2.5 Forecasting in Istanbul, Türkiye: Leveraging ERA5 Reanalysis and Genetic Algorithms in a Comparative Machine Learning Model Analysis
Serdar Gündoğdu, Tolga Elbir
Chemosphere (2024) Vol. 364, pp. 143096-143096
Closed Access | Times Cited: 3
Towards cleaner air in Siliguri: A comprehensive study of PM2.5 and PM10 through advance computational forecasting models for effective environmental interventions
Arghadeep Bose, Indrajit Roy Chowdhury
Atmospheric Pollution Research (2023) Vol. 15, Iss. 2, pp. 101976-101976
Closed Access | Times Cited: 9
PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network
Li Zhang, Jinlan Liu, Yuhan Feng, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 30, pp. 75104-75115
Open Access | Times Cited: 8
Evaluation of machine learning and deep learning models for daily air quality index prediction in Delhi city, India
Chaitanya Baliram Pande, R. Latha, Megha Satyanarayana
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 12
Closed Access | Times Cited: 2
Towards On-Site Implementation of Multi-Step Air Pollutant Index Prediction in Malaysia Industrial Area: Comparing the NARX Neural Network and Support Vector Regression
Rosminah Mustakim, Mazlina Mamat, Hoe Tung Yew
Atmosphere (2022) Vol. 13, Iss. 11, pp. 1787-1787
Open Access | Times Cited: 10
ACBiGRU-DAO: Attention Convolutional Bidirectional Gated Recurrent Unit-based Dynamic Arithmetic Optimization for Air Quality Prediction
Vinoth Panneerselvam, T. Revathi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 37, pp. 86804-86820
Closed Access | Times Cited: 6
Application of CNN-LSTM Algorithm for PM2.5 Concentration Forecasting in the Beijing-Tianjin-Hebei Metropolitan Area
Yuxuan Su, Junyu Li, Lilong Liu, et al.
Atmosphere (2023) Vol. 14, Iss. 9, pp. 1392-1392
Open Access | Times Cited: 6
PM2.5 Concentration Prediction in Six Major Chinese Urban Agglomerations: A Comparative Study of Various Machine Learning Methods Based on Meteorological Data
Min Duan, Yufan Sun, Binzhe Zhang, et al.
Atmosphere (2023) Vol. 14, Iss. 5, pp. 903-903
Open Access | Times Cited: 4
City-scale model to assess rooftops performance on air pollution mitigation; validation for Tehran
S. Hamed Banirazi Motlagh, Oriol Pons, S. M. Amin Hosseini
Building and Environment (2023) Vol. 244, pp. 110746-110746
Open Access | Times Cited: 4
Optimizing air quality predictions: A discrete wavelet transform and long short‐term memory approach with wavelet‐type selection for hourly PM10 concentrations
Gökçe Nur Taşağıl Arslan, Serpil Kılıç Depren
Journal of Chemometrics (2024) Vol. 38, Iss. 4
Closed Access | Times Cited: 1
Air quality prediction based on improved quantum long short-term memory neural networks
Feifei Li, Yumin Dong
Physica Scripta (2024) Vol. 99, Iss. 8, pp. 085035-085035
Closed Access | Times Cited: 1
Analyzing meteorological factors for forecasting PM10 and PM2.5 levels: a comparison between MLR and MLP models
Nastaran Talepour, Yaser Tahmasebi Birgani, Frank J. Kelly, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 1
Predicting PM2.5 levels over Indian metropolitan cities using Recurrent Neural Networks
Amitabha Govande, Raju Attada, Krishna Kumar Shukla
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Forecasting of monthly air quality index and understanding the air pollution in the urban city, India based on machine learning models and cross-validation
Chaitanya Baliram Pande, Neyara Radwan, Salim Heddam, et al.
Journal of Atmospheric Chemistry (2024) Vol. 82, Iss. 1
Closed Access | Times Cited: 1
Comparative Evaluation of the Multilayer Perceptron Approach with Conventional ARIMA in Modeling and Prediction of COVID-19 Daily Death Cases
Moiz Qureshi, Muhammad Daniyal, Kassim Tawiah
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 4
A Hybrid Model for China’s Soybean Spot Price Prediction by Integrating CEEMDAN with Fuzzy Entropy Clustering and CNN-GRU-Attention
Dinggao Liu, Zhenpeng Tang, Yi Cai
Sustainability (2022) Vol. 14, Iss. 23, pp. 15522-15522
Open Access | Times Cited: 3
Apict:Air Pollution Epidemiology using Green AQI Prediction during Winter Seasons in India
Sweta Dey, Kalyan Chatterjee, Ramagiri Praveen Kumar, et al.
IEEE Transactions on Sustainable Computing (2024) Vol. 9, Iss. 3, pp. 559-570
Closed Access
Prediction of daily fine particulate matter (PM2.5) concentration in Aksaray, Turkey: Temporal variation, meteorological dependence, and employing artificial neural network
Ebru Koçak
Environmental Progress & Sustainable Energy (2024) Vol. 43, Iss. 2
Closed Access
An intelligent wireless channel corrupted image-denoising framework using symmetric convolution-based heuristic assisted residual attention network
S. Pushpa Mala, Aparna Kukunuri
Network Computation in Neural Systems (2024), pp. 1-34
Closed Access
Whale sound signal denoising based on SVMD and improved wavelet thresholding
Yuyan Zhang, Yunsha Bai, Yintang Wen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 097001-097001
Closed Access
Predicting hospital admissions for upper respiratory tract complaints: An artificial neural network approach integrating air pollution and meteorological factors
Atilla Mutlu, Gülşen Aydın Keskin, İhsan Çıldır
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 8
Closed Access
PmForecast: leveraging temporal LSTM to deliver in situ air quality predictions
Maryam Rahmani, Suzanne Crumeyrolle, Nadége Allegri-Martiny, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 39, pp. 51760-51773
Closed Access
Application of Multilayer Perceptron Artificial Neural Network (MLP-ANN) Algorithm for PM2.5 Mass Concentration Estimation during Open Biomass Burning Episodes in Thailand

International Journal of Geoinformatics (2024)
Open Access
Machine Learning Based PM 2.5 and 10 Concentration Modeling for Delhi City
Vikhyat Gupta, Dhwanilnath Gharekhan, Dipak R. Samal
Journal of the Indian Society of Remote Sensing (2024)
Closed Access
Enhancing the accuracy of metaheuristic neural networks in predicting underground water levels using meteorological data and remote sensing: A case study of Ardabil Plain, Iran
Amin Majd, Javanshir Azizi Mobaser, Ali Rasoulzadeh, et al.
Ain Shams Engineering Journal (2024), pp. 103061-103061
Open Access

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