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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:

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks
Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4142-4142
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 4929-5021
Open Access | Times Cited: 261
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images
Libo Wang, Rui Li, Dongzhi Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3065-3065
Open Access | Times Cited: 151
Short-Term Prediction of COVID-19 Cases Using Machine Learning Models
Md. Shahriare Satu, Koushik Chandra Howlader, Mufti Mahmud, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4266-4266
Open Access | Times Cited: 91
Air pollution concentration forecasting based on wavelet transform and combined weighting forecasting model
Bingchun Liu, Xiaogang Yu, Jiali Chen, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 8, pp. 101144-101144
Closed Access | Times Cited: 46
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning
Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1599-1599
Open Access | Times Cited: 32
Methods for Urban Air Pollution Measurement and Forecasting: Challenges, Opportunities, and Solutions
Elena Mitreska Jovanovska, Victoria Batz, Petre Lameski, et al.
Atmosphere (2023) Vol. 14, Iss. 9, pp. 1441-1441
Open Access | Times Cited: 19
A deep spatio-temporal learning network for continuous citywide air quality forecast based on dense monitoring data
Rong Guo, Qiang Zhang, Xin Yu, et al.
Journal of Cleaner Production (2023) Vol. 414, pp. 137568-137568
Closed Access | Times Cited: 16
Neural Architecture Search for 1D CNNs—Different Approaches Tests and Measurements
João Rala Cordeiro, António Raimundo, Octavian Postolache, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7990-7990
Open Access | Times Cited: 37
Implementation of IoT Framework with Data Analysis Using Deep Learning Methods for Occupancy Prediction in a Building
Eric Hitimana, Gaurav Bajpai, Richard Musabe, et al.
Future Internet (2021) Vol. 13, Iss. 3, pp. 67-67
Open Access | Times Cited: 33
Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm
Mehdi Jamei, Mumtaz Ali, Changhyun Jun, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 6, pp. 101752-101752
Closed Access | Times Cited: 14
Assessment of Water Hydrochemical Parameters Using Machine Learning Tools
Ivan Malashin, Vladimir Nelyub, А. С. Бородулин, et al.
Sustainability (2025) Vol. 17, Iss. 2, pp. 497-497
Open Access
An end-to-end explainability framework for spatio-temporal predictive modeling
Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo
Machine Learning (2025) Vol. 114, Iss. 4
Open Access
Artificial Neural Network for Air Pollutant Concentration Predictions Based on Aircraft Trajectories over Suvarnabhumi International Airport
Patcharin Kamsing, Chunxiang Cao, Wuttichai Boonpook, et al.
Atmosphere (2025) Vol. 16, Iss. 4, pp. 366-366
Open Access
Deep Learning in Airborne Particulate Matter Sensing and Surface Plasmon Resonance for Environmental Monitoring
Balendra V. S. Chauhan, Sneha Verma, B. M. A. Rahman, et al.
Atmosphere (2025) Vol. 16, Iss. 4, pp. 359-359
Open Access
Air Sense
Syed Ali Haider Shirazi, Rafia Mumtaz, Khizar Imran, et al.
IGI Global eBooks (2025), pp. 149-192
Closed Access
Multi-Horizon Air Pollution Forecasting with Deep Neural Networks
Mirche Arsov, Eftim Zdravevski, Petre Lameski, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1235-1235
Open Access | Times Cited: 31
A Comparison of Machine Learning Methods to Forecast Tropospheric Ozone Levels in Delhi
Eliana Kai Juarez, Mark Petersen
Atmosphere (2021) Vol. 13, Iss. 1, pp. 46-46
Open Access | Times Cited: 31
A Spatiotemporal Fusion Method Based on Multiscale Feature Extraction and Spatial Channel Attention Mechanism
Dajiang Lei, Gangsheng Ran, Liping Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 461-461
Open Access | Times Cited: 19
M2-APNet: A multimodal deep learning network to predict major air pollutants from temporal satellite images
G. Swetha, Rajeshreddy Datla, Chalavadi Vishnu, et al.
Journal of Applied Remote Sensing (2023) Vol. 18, Iss. 01
Closed Access | Times Cited: 12
Combining Swin Transformer With UNet for Remote Sensing Image Semantic Segmentation
Lili Fan, Yu Zhou, Hongmei Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-11
Closed Access | Times Cited: 11
Modeling PM2.5 and PM10 Using a Robust Simplified Linear Regression Machine Learning Algorithm
João Gregório, Carla Gouveia‐Caridade, P. J. S. B. Caridade
Atmosphere (2022) Vol. 13, Iss. 8, pp. 1334-1334
Open Access | Times Cited: 17
Data-Driven Framework for Understanding and Predicting Air Quality in Urban Areas
Lakshmi Babu Saheer, Ajay Bhasy, Mahdi Maktabdar, et al.
Frontiers in Big Data (2022) Vol. 5
Open Access | Times Cited: 16
Novel MIA-LSTM Deep Learning Hybrid Model with Data Preprocessing for Forecasting of PM2.5
Gaurav Narkhede, Anil Hiwale, Bharat Tidke, et al.
Algorithms (2023) Vol. 16, Iss. 1, pp. 52-52
Open Access | Times Cited: 10
Deep Learning Framework-Based Chaotic Hunger Games Search Optimization Algorithm for Prediction of Air Quality Index
Harshini Macherla, Ghamya Kotapati, Manepalli Tulas Sunitha, et al.
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 2, pp. 433-441
Open Access | Times Cited: 9
RS-SSKD: Self-Supervision Equipped with Knowledge Distillation for Few-Shot Remote Sensing Scene Classification
Pei Zhang, Ying Li, Dong Wang, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1566-1566
Open Access | Times Cited: 20
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