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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:

Deep Learning Model Based CO2 Emissions Prediction Using Vehicle Telematics Sensors Data
Mukul Singh, Rahul Dubey
IEEE Transactions on Intelligent Vehicles (2021) Vol. 8, Iss. 1, pp. 768-777
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 119-137
Open Access | Times Cited: 40
Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends
Anwar Khan, Mostafa M. Fouda, Dinh‐Thuan Do, et al.
IEEE Access (2023) Vol. 11, pp. 94371-94391
Open Access | Times Cited: 23
A multi-factor combination prediction model of carbon emissions based on improved CEEMDAN
Guohui Li, Hao Wu, Hong Yang
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 14, pp. 20898-20924
Closed Access | Times Cited: 15
Hybrid modeling for vehicle lateral dynamics via AGRU with a dual-attention mechanism under limited data
Jianwei Chen, Chuanqiang Yu, Yafei Wang, et al.
Control Engineering Practice (2024) Vol. 151, pp. 106015-106015
Closed Access | Times Cited: 14
Models for predicting vehicle emissions: A comprehensive review
Hui Zhong, Kehua Chen, Chenxi Liu, et al.
The Science of The Total Environment (2024) Vol. 923, pp. 171324-171324
Closed Access | Times Cited: 8
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
An extensive investigation on leveraging machine learning techniques for high-precision predictive modeling of CO 2 emission
Van Giao Nguyen, Xuan Quang Duong, Lan Huong Nguyen, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 3, pp. 9149-9177
Closed Access | Times Cited: 15
The Development of GHG Emissions Calculation Platform for Postal Supply Chain
Janya Chanchaichujit, Sreejith Balasubramanian, Wai Peng Wong, et al.
Procedia Computer Science (2025) Vol. 253, pp. 2186-2195
Open Access
Carbon Emission Prediction of Freeway Construction Phase Based on Back Propagation Neural Network Optimization
Lin Wang, Jiyuan Zhu, Haoran Zhu, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1732-1732
Open Access
Intelligent assessment of power quality disturbances: A comprehensive review on machine learning and deep learning solutions
Shaurya Jain, Amol Satsangi, Rajat Kumar, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110275-110275
Closed Access
Internet of Vehicles (IoV) Based Framework for electricity Demand Forecasting in V2G
Navin Kumar, Sandeep K. Sood, Munish Saini
Energy (2024) Vol. 297, pp. 131199-131199
Closed Access | Times Cited: 4
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
Efficiency Improvement of Public Security Video Surveillance System Based on Deep Learning
Rixin Li
Lecture notes in electrical engineering (2025), pp. 245-253
Closed Access
Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles
David Tena-Gago, Gelayol Golcarenarenji, Ignacio Martinez‐Alpiste, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1350-1350
Open Access | Times Cited: 10
A Data-Driven Method to Monitor Carbon Dioxide Emissions of Coal-Fired Power Plants
Shangli Zhou, Hengjing He, Leping Zhang, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1646-1646
Open Access | Times Cited: 10
ArtEMon: Artificial Intelligence and Internet of Things Powered Greenhouse Gas Sensing for Real-Time Emissions Monitoring
Ali Yavari, Irfan Baig Mirza, Hamid Bagha, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7971-7971
Open Access | Times Cited: 10
CO2 concentration forecasting in smart cities using a hybrid ARIMA–TFT model on multivariate time series IoT data
Pantelis Linardatos, Vasilis Papastefanopoulos, Theodor Panagiotakopoulos, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
A novel grey multivariate convolution model based on the improved marine predators algorithm for predicting fossil CO2 emissions in China
Haoze Cang, Xiangyan Zeng, Shuli Yan
Expert Systems with Applications (2023) Vol. 243, pp. 122865-122865
Closed Access | Times Cited: 10
Emerging Trends in Intelligent Vehicles: The IEEE TIV Perspective
Hui Zhang, Junbo Guo, Guiyang Luo, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 8, pp. 3983-3995
Closed Access | Times Cited: 9
On the Use of Biofuels for Cleaner Cities: Assessing Vehicular Pollution through Digital Twins and Machine Learning Algorithms
Matheus Andrade, Morsinaldo Medeiros, Thaís Medeiros, et al.
Sustainability (2024) Vol. 16, Iss. 2, pp. 708-708
Open Access | Times Cited: 3
Sustainability with Limited Data: A Novel Predictive Analytics Approach for Forecasting CO2 Emissions
Christos K. Filelis‐Papadopoulos, Samuel N. Kirshner, Philip O’Reilly
Information Systems Frontiers (2024)
Open Access | Times Cited: 3
A Parallel Supervision System for Vehicle CO2 Emissions Based on OBD-Independent Information
Yao Sun, Yunfeng Hu, Hui Zhang, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 3, pp. 2077-2087
Closed Access | Times Cited: 11
Non-invasive, plug-and-play pollution detector for vehicle on-board instantaneous CO2 emission monitoring
David Tena-Gago, Qi Wang, José M. Alcaraz Calero
Internet of Things (2023) Vol. 22, pp. 100755-100755
Open Access | Times Cited: 6
Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
Seokho Moon, Jinhee Lee, Hyung Jun Kim, et al.
International Journal of Automotive Technology (2024) Vol. 25, Iss. 3, pp. 651-661
Closed Access | Times Cited: 1
Deep Learning-Based Mesoscopic Pollutant Emissions Modeling in Road Traffic Networks
Abdelkader Dib, Antonio Sciarretta, Miloš Balać
(2024) Vol. 51, pp. 1-7
Closed Access | Times Cited: 1
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