Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Forecasting the concentration of NO2 using statistical and machine learning methods: A case study in the UAE
Aishah Al Yammahi, Zeyar Aung
Heliyon (2022) Vol. 9, Iss. 2, pp. e12584-e12584
Open Access | Times Cited: 16

Showing 16 citing articles:

Forecasting O3 and NO2 concentrations with spatiotemporally continuous coverage in southeastern China using a Machine learning approach
Zeyue Li, Jianzhao Bi, Yang Liu, et al.
Environment International (2025) Vol. 195, pp. 109249-109249
Open Access
Analysis and Prediction of Atmospheric Environmental Quality Based on the Autoregressive Integrated Moving Average Model (ARIMA Model) in Hunan Province, China
Wenyuan Gao, Tongjue Xiao, Lin Zou, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8471-8471
Open Access | Times Cited: 3
Monitoring and Analyzing Air Quality in Several Locations around Medan City Using IoT-Based Integrated Sensors
Nonny Dwitasari Siregar, Marhaposan Situmorang, Syahrul Humaidi
International Journal of Current Science Research and Review (2024) Vol. 07, Iss. 06
Open Access | Times Cited: 1
Forecasting mortality and DALYs from air pollution in SAARC nations
Amna Amer, Nadia Mushtaq, Olayan Albalawi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Impact of urban spatial factors on NO2 concentration based on different socio-economic restriction scenarios in U.S. cities
Muhammad Waqas, Majid Nazeer, Man Sing Wong, et al.
Atmospheric Environment (2023) Vol. 316, pp. 120191-120191
Closed Access | Times Cited: 2
Prediksi Harga Cabai Rawit di Provinsi Jawa Timur Menggunakan Metode Fuzzy Time Series Model Lee
Vida Komaria, Nova El Maidah, Muhammad Ariful Furqon
Komputika Jurnal Sistem Komputer (2023) Vol. 12, Iss. 2, pp. 37-47
Open Access | Times Cited: 2
A granularity time series forecasting model combining three-way decision and trend information granularity
Jianuan Qiu, Shuhua Su, Jingjing Qian
Research Square (Research Square) (2024)
Open Access
Particulate matter (pm10) monitoring in the United Arab Emirates using a satellite remote sensing based model
Aisha Al Suwaidi, Tarig Ali, Serter Atabay, et al.
Discover Environment (2024) Vol. 2, Iss. 1
Open Access
Dự báo chất lượng không khí bằng mô hình LSTM-MA trường hợp sử dụng dữ liệu tại trạm quan trắc tự động ngã tư Giếng Nước, tỉnh Bà Rịa - Vũng Tàu
Hồ Minh Dũng, Khổng Doãn An Khang
Journal of Hydro-meteorology (2024) Vol. 9, Iss. 765, pp. 75-89
Open Access
Detection of anomalous Nitrogen Dioxide concentration of Ankara: a Reconstruction-based approach
Mustafa Murat Arat
Journal of Polytechnic (2024)
Open Access
Modeling health outcomes of air pollution in the Middle East by using support vector machines and neural networks
Ayesha, Muhammad Noor‐ul‐Amin, Olayan Albalawi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Assessing the accuracy of various statistical models for forecasting PM$$_{2.5}$$: a case study from diverse regions of Gandhinagar and Ahmedabad
Sajeed I. Ghanchi, D. M. Pandya, Manan Shah
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access
A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings
Mohsen Khosravi, Seyyed Morteza Mojtabaeian, Emine Kübra Dindar Demiray, et al.
Health Science Reports (2024) Vol. 7, Iss. 12
Open Access
Exploring airborne fungal contaminations and air quality pollution in nine ancient stone temples, Surin, Thailand
Wattanachai Pathomsiriwong, Sayam Aroonsrimorakot, Worasitikulya Taratima, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 23, pp. 33733-33751
Closed Access
Improved $$NO_2$$ Prediction Using Machine Learning Algorithms
Chukwuemeka Jaja-Wachuku, Lorenzo Garbagna, Lakshmi Babu Saheer, et al.
IFIP advances in information and communication technology (2024), pp. 215-225
Closed Access
Machine learning for hours-ahead forecasts of urban air concentrations of oxides of nitrogen from univariate data exploiting trend attributes
David A. Wood
Environmental Science Advances (2023) Vol. 2, Iss. 11, pp. 1505-1526
Open Access | Times Cited: 1
Page 1

Scroll to top