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 Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review
Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2401-2401
Open Access | Times Cited: 143

Showing 1-25 of 143 citing articles:

Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects
Abdul Rehman Javed, Faisal Shahzad, Saif Ur Rehman, et al.
Cities (2022) Vol. 129, pp. 103794-103794
Open Access | Times Cited: 385

Machine learning algorithms to forecast air quality: a survey
Manuel Méndez, Mercedes G. Merayo, Manuel Núñez
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10031-10066
Open Access | Times Cited: 136

Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Akshara Kaginalkar, Shamita Kumar, Prashant Gargava, et al.
Urban Climate (2021) Vol. 39, pp. 100972-100972
Open Access | Times Cited: 130

Machine Learning-Based Prediction of Air Quality
Yun-Chia Liang, Yona Maimury, Angela Hsiang-Ling Chen, et al.
Applied Sciences (2020) Vol. 10, Iss. 24, pp. 9151-9151
Open Access | Times Cited: 120

Disruptive Technologies in Smart Cities: A Survey on Current Trends and Challenges
Isam Shahrour, Fateh Bélaïd, Véronique Flambard, et al.
Smart Cities (2020) Vol. 3, Iss. 3, pp. 1022-1038
Open Access | Times Cited: 94

A systematic literature review of deep learning neural network for time series air quality forecasting
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 4, pp. 4958-4990
Closed Access | Times Cited: 79

Air Quality Index prediction using an effective hybrid deep learning model
Nairita Sarkar, Rajan Gupta, Pankaj Kumar Keserwani, et al.
Environmental Pollution (2022) Vol. 315, pp. 120404-120404
Closed Access | Times Cited: 62

Evaluation of Machine Learning Algorithm on Drinking Water Quality for Better Sustainability
Sanaa Kaddoura
Sustainability (2022) Vol. 14, Iss. 18, pp. 11478-11478
Open Access | Times Cited: 46

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
Xingchen Zou, Yibo Yan, Xixuan Hao, et al.
Information Fusion (2024) Vol. 113, pp. 102606-102606
Open Access | Times Cited: 13

Improving 3-day deterministic air pollution forecasts using machine learning algorithms
Zhiguo Zhang, Christer Johansson, Magnuz Engardt, et al.
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 2, pp. 807-851
Open Access | Times Cited: 9

Comparative assessments and insights of data openness of 50 smart cities in air quality aspects
Hugo Wai Leung Mak, Yun Fat Lam
Sustainable Cities and Society (2021) Vol. 69, pp. 102868-102868
Closed Access | Times Cited: 48

Scalable kernel-based SVM classification algorithm on imbalance air quality data for proficient healthcare
Shwet Ketu, Pramod Kumar Mishra
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2597-2615
Open Access | Times Cited: 47

Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Journal of Cleaner Production (2022) Vol. 374, pp. 134011-134011
Closed Access | Times Cited: 31

Where Are Smart Cities Heading? A Meta-Review and Guidelines for Future Research
Jo�ão Reis, Pedro Alexandre Marques, Pedro Carmona Marques
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8328-8328
Open Access | Times Cited: 30

Stacked ResNet-LSTM and CORAL model for multi-site air quality prediction
Xiangwei Cheng, Wenwen Zhang, Adrian Wenzel, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 16, pp. 13849-13866
Open Access | Times Cited: 29

Big-Data-Driven Machine Learning for Enhancing Spatiotemporal Air Pollution Pattern Analysis
Mateusz Zaręba, Hubert Dlugosz, Tomasz Danek, et al.
Atmosphere (2023) Vol. 14, Iss. 4, pp. 760-760
Open Access | Times Cited: 18

A machine learning approach for buckling analysis of a bi-directional FG microbeam
Aiman Tariq, Büşra Uzun, Babür Deliktaş, et al.
Microsystem Technologies (2024)
Closed Access | Times Cited: 7

Indoor air quality prediction systems for smart environments: A systematic review
Jagriti Saini, Maitreyee Dutta, Gonçalo Marques
Journal of Ambient Intelligence and Smart Environments (2020) Vol. 12, Iss. 5, pp. 433-453
Closed Access | Times Cited: 44

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: 33

A space-embedding strategy for anomaly detection in multivariate time series
Zhiwei Ji, Yi Wang, Ke Yan, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117892-117892
Closed Access | Times Cited: 23

Investigating the influence of platform design on the distribution of traffic particulate matter at the bus stop
Kaixuan Liu, Xinyuan Lin, Jiamin Xu, et al.
Building and Environment (2024) Vol. 255, pp. 111395-111395
Closed Access | Times Cited: 5

Noble Metal-Based Nanosensors for Environmental Detection
Tahir Iqbal, Sumera Afsheen, Ayesha Mushtaq
(2025), pp. 79-100
Closed Access

Taxonomy of the Scientific Domain of Smart Life
Marc Denecker, Elena Kornyshova, Kaoutar Sadouki, et al.
(2025), pp. 23-55
Closed Access

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