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:

A deep learning model for air quality prediction in smart cities
İbrahim Kök, Mehmet Ulvi Şimşek, Suat Özdemi̇r
2021 IEEE International Conference on Big Data (Big Data) (2017), pp. 1983-1990
Closed Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges
Abbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, et al.
Smart Cities (2021) Vol. 4, Iss. 2, pp. 429-475
Open Access | Times Cited: 349

Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques
Jun Ma, Jack C.P. Cheng, Changqing Lin, et al.
Atmospheric Environment (2019) Vol. 214, pp. 116885-116885
Closed Access | Times Cited: 212

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: 135

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: 129

Big data and artificial intelligence based early risk warning system of fire hazard for smart cities
Yongchang Zhang, Panpan Geng, C. B. Sivaparthipan, et al.
Sustainable Energy Technologies and Assessments (2021) Vol. 45, pp. 100986-100986
Closed Access | Times Cited: 124

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review
Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5757-5797
Open Access | Times Cited: 52

The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects
Syed Attique Shah, Dursun Zafer Şeker, Sufian Hameed, et al.
IEEE Access (2019) Vol. 7, pp. 54595-54614
Open Access | Times Cited: 141

Spatial prediction of PM10 concentration using machine learning algorithms in Ankara, Turkey
Aslı Bozdağ, Yeşim DOKUZ, Öznur Begüm Gökçek
Environmental Pollution (2020) Vol. 263, pp. 114635-114635
Closed Access | Times Cited: 106

Improved ANFIS model for forecasting Wuhan City Air Quality and analysis COVID-19 lockdown impacts on air quality
Mohammed A. A. Al‐qaness, Hong Fan, Ahmed A. Ewees, et al.
Environmental Research (2020) Vol. 194, pp. 110607-110607
Closed Access | Times Cited: 95

Multivariate Air Quality Forecasting With Nested Long Short Term Memory Neural Network
Ning Jin, Yongkang Zeng, Ke Yan, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 12, pp. 8514-8522
Closed Access | Times Cited: 91

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: 84

A Sequence-to-Sequence Air Quality Predictor Based on the n-Step Recurrent Prediction
Bo Liu, Shuo Yan, Jianqiang Li, et al.
IEEE Access (2019) Vol. 7, pp. 43331-43345
Open Access | Times Cited: 81

Multi-directional temporal convolutional artificial neural network for PM2.5 forecasting with missing values: A deep learning approach
K. Krishna Rani Samal, Korra Sathya Babu, Santos Kumar Das
Urban Climate (2021) Vol. 36, pp. 100800-100800
Closed Access | Times Cited: 75

A time series forecasting based multi-criteria methodology for air quality prediction
Raquel Espinosa, José Palma, Fernando Jiménez, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107850-107850
Open Access | Times Cited: 70

New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities
M. M. Kamruzzaman, Ibrahim Alrashdi, Ali Alqazzaz
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 59

An IoT enabled system for enhanced air quality monitoring and prediction on the edge
Ahmed Samy Moursi, Nawal El‐Fishawy, Soufiene Djahel, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 6, pp. 2923-2947
Open Access | Times Cited: 56

A Hybrid Spatiotemporal Deep Model Based on CNN and LSTM for Air Pollution Prediction
Stefan Tsokov, Milena Lazarova, Adelina Aleksieva-Petrova
Sustainability (2022) Vol. 14, Iss. 9, pp. 5104-5104
Open Access | Times Cited: 42

Synchronizing Object Detection: Applications, Advancements and Existing Challenges
Md. Tanzib Hosain, Asif Zaman, Mushfiqur Rahman Abir, et al.
IEEE Access (2024) Vol. 12, pp. 54129-54167
Open Access | Times Cited: 9

Real Time Localized Air Quality Monitoring and Prediction Through Mobile and Fixed IoT Sensing Network
Dan Zhang, Simon S. Woo
IEEE Access (2020) Vol. 8, pp. 89584-89594
Open Access | Times Cited: 68

Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects
Amina N. Muhammad, Ali M. Aseere, Haruna Chiroma, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 7, pp. 2973-3009
Closed Access | Times Cited: 64

Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead
Javier Del Ser, Eneko Osaba, Javier Medina, et al.
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 21, Iss. 2, pp. 466-495
Closed Access | Times Cited: 57

Replay Attack Detection in Smart Cities Using Deep Learning
Asmaa Elsaeidy, Nishant Jagannath, Adrian Garrido Sanchis, et al.
IEEE Access (2020) Vol. 8, pp. 137825-137837
Open Access | Times Cited: 57

Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru
Chardin Hoyos Cordova, Manuel Niño Lopez Portocarrero, Rodrigo Salas, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 46

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