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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:

Predicting CO2 Emissions from Traffic Vehicles for Sustainable and Smart Environment Using a Deep Learning Model
Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani
Sustainability (2023) Vol. 15, Iss. 9, pp. 7615-7615
Open Access | Times Cited: 19

Showing 19 citing articles:

Estimation of transport CO2 emissions using machine learning algorithm
Shengwei Li, Zeping Tong, Muhammad Shahzad Haroon
Transportation Research Part D Transport and Environment (2024) Vol. 133, pp. 104276-104276
Closed Access | Times Cited: 19
GreenNav: Spatiotemporal Prediction of CO2 Emissions in Paris Road Traffic Using a Hybrid CNN-LSTM Model
Youssef Mekouar, Imad Saleh, Mohammed Karim
Network (2025) Vol. 5, Iss. 1, pp. 2-2
Open Access
Efficient greenhouse gas prediction using IoT data streams and a CNN-BiLSTM-KAN model
Jinyu Zhang, Liguo Zhao
Alexandria Engineering Journal (2025)
Open Access
Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment
Gazi Mahabubul Alam, Sharia Arfin Tanim, Sumit Kanti Sarker, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Carbon Dioxide Emission Forecast: A Review of Existing Models and Future Challenges
Yaxin Tian, Xiang Ren, Keke Li, et al.
Sustainability (2025) Vol. 17, Iss. 4, pp. 1471-1471
Open Access
Insights into transportation CO2 emissions with big data and artificial intelligence
Zhenyu Luo, Tingkun He, Zhaofeng Lv, et al.
Patterns (2025), pp. 101186-101186
Open Access
Forecasting CO2 emissions of fuel vehicles for an ecological world using ensemble learning, machine learning, and deep learning models
Fatih Gürcan
PeerJ Computer Science (2024) Vol. 10, pp. e2234-e2234
Open Access | Times Cited: 4
Dual-stage ensemble approach using online knowledge distillation for forecasting carbon emissions in the electric power industry
Ruibin Lin, Xing Lv, Huanling Hu, et al.
Data Science and Management (2023) Vol. 6, Iss. 4, pp. 227-238
Open Access | Times Cited: 9
MSCL-Attention: A Multi-Scale Convolutional Long Short-Term Memory (LSTM) Attention Network for Predicting CO2 Emissions from Vehicles
Yi Xie, Lizhuang Liu, Zhenqi Han, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8547-8547
Open Access | Times Cited: 2
Modeling Vehicle CO2 Emissions: Assessing Alternative Methods, Lag Effects, and Internal-External Factors
Cansu Alakuş, Luis Miranda-Moreno, Aurélie Labbe, et al.
SSRN Electronic Journal (2024)
Closed Access
Investigating the nonlinear carbon reduction effect of AI: empirical insights from China’s provincial level
Tongping Xie, Xuwei Wang
Frontiers in Environmental Science (2024) Vol. 12
Open Access
Ecodrive-Deep Learning Models For Accurate Prediction of Vehicle Co2 Emissions
A Joshua Isaac, A Jenefa, Roshan John Renny Samuel, et al.
(2024), pp. 689-694
Closed Access
Araçlarda CO2 Emisyonlarının Farklı Yapay Sinir Ağı Modelleri Kullanılarak Tahminlerinin Karşılaştırılması
Emrah Aslan
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi (2024) Vol. 39, Iss. 2, pp. 309-324
Open Access
Internet-of-Vehicles Network for CO₂ Emission Estimation and Reinforcement Learning-Based Emission Reduction
Archana Sulekha Devi, Milagres Mary John Britto, Zian Fang, et al.
IEEE Access (2024) Vol. 12, pp. 110681-110690
Open Access
Intensified greenhouse gas prediction: Configuring Gate with Fine-Tuning Shifts with Bi-LSTM and GRU System
Mohemmed Sha, Solomon Emmanuel, A. Bindhu, et al.
Frontiers in Climate (2024) Vol. 6
Open Access
Analysis of the Impact of Selected Dynamic Parameters of a Motor Vehicle on CO2 Emissions Using Logistic Regression
Magdalena Rykała, Małgorzata Grzelak, Anna Borucka
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10349-10349
Open Access
Towards Carbon Neutrality: Machine Learning Analysis of Vehicle Emissions in Canada
Xiaoxu Guo, Ruibing Kou, Xiang He
Sustainability (2024) Vol. 16, Iss. 23, pp. 10526-10526
Open Access
Machine Learning Assisted Experimental Investigation on Carbon Emissions of Diverse Fuels
S. Benil Jeniffer, D. Sathya, R Yogeshwari, et al.
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 128-132
Closed Access | Times Cited: 1
Detection of Hazardous gases using Deep Learning on Benchmark Dataset
N. Madhuram, R. Kalpana
(2023), pp. 1-5
Closed Access
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