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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 quality prediction at new stations using spatially transferred bi-directional long short-term memory network
Jun Ma, Zheng Li, Jack C.P. Cheng, et al.
The Science of The Total Environment (2019) Vol. 705, pp. 135771-135771
Closed Access | Times Cited: 154

Showing 26-50 of 154 citing articles:

Environmental Justice in the 15-Minute City: Assessing Air Pollution Exposure Inequalities Through Machine Learning and Spatial Network Analysis
Feifeng Jiang, Jun Ma
Smart Cities (2025) Vol. 8, Iss. 2, pp. 53-53
Open Access | Times Cited: 1
A Two-Layer Water Demand Prediction System in Urban Areas Based on Micro-Services and LSTM Neural Networks
Ahmed Abdel Nasser, M. Z. Rashad, Sherif E. Hussein
IEEE Access (2020) Vol. 8, pp. 147647-147661
Open Access | Times Cited: 63
A long short-term memory-based framework for crash detection on freeways with traffic data of different temporal resolutions
Feifeng Jiang, Richard K.K. Yuen, Eric Lee
Accident Analysis & Prevention (2020) Vol. 141, pp. 105520-105520
Closed Access | Times Cited: 58
Bioindicators and biomonitoring: honeybees and hive products as pollution impact assessment tools for the Mediterranean area
Stefano Girotti, Severino Ghini, Elida Nora Ferri, et al.
Euro-Mediterranean Journal for Environmental Integration (2020) Vol. 5, Iss. 3
Open Access | Times Cited: 58
Prediction of individual thermal comfort based on ensemble transfer learning method using wearable and environmental sensors
Han-Saem Park, Dong Yoon Park
Building and Environment (2021) Vol. 207, pp. 108492-108492
Closed Access | Times Cited: 55
A general multi-source ensemble transfer learning framework integrate of LSTM-DANN and similarity metric for building energy prediction
Xi Fang, Guangcai Gong, Guannan Li, et al.
Energy and Buildings (2021) Vol. 252, pp. 111435-111435
Closed Access | Times Cited: 54
IntelliO3-ts v1.0: a neural network approach to predict near-surface ozone concentrations in Germany
Felix Kleinert, Lukas Hubert Leufen, Martin G. Schultz
Geoscientific model development (2021) Vol. 14, Iss. 1, pp. 1-25
Open Access | Times Cited: 51
Spatial assessment of PM10 hotspots using Random Forest, K-Nearest Neighbour and Naïve Bayes
Abdulwaheed Tella, Abdul‐Lateef Balogun, Naheem Adebisi, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 10, pp. 101202-101202
Closed Access | Times Cited: 50
Prediction of building power consumption using transfer learning-based reference building and simulation dataset
Yusun Ahn, Byungseon Sean Kim
Energy and Buildings (2021) Vol. 258, pp. 111717-111717
Closed Access | Times Cited: 50
Optimising Deep Learning at the Edge for Accurate Hourly Air Quality Prediction
I Nyoman Kusuma Wardana, Julian W. Gardner, Suhaib A. Fahmy
Sensors (2021) Vol. 21, Iss. 4, pp. 1064-1064
Open Access | Times Cited: 43
Transferability investigation of a Sim2Real deep transfer learning framework for cross-building energy prediction
Xi Fang, Guangcai Gong, Guannan Li, et al.
Energy and Buildings (2023) Vol. 287, pp. 112968-112968
Closed Access | Times Cited: 21
A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long-Term Short-Term Memory
Hao Tang, Uzair Aslam Bhatti, Jingbing Li, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 18
A novel methodology for malicious traffic detection in smart devices using BI-LSTM–CNN-dependent deep learning methodology
T. Anitha, S. Aanjankumar, S. Poonkuntran, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 27, pp. 20319-20338
Closed Access | Times Cited: 18
A hybrid model for daily air quality index prediction and its performance in the face of impact effect of COVID-19 lockdown
Yuting Li, Ruying Li
Process Safety and Environmental Protection (2023) Vol. 176, pp. 673-684
Open Access | Times Cited: 16
Air quality prediction by integrating mechanism model and machine learning model
Haibin Liao, Yuan Li, Mou Wu, et al.
The Science of The Total Environment (2023) Vol. 899, pp. 165646-165646
Open Access | Times Cited: 16
Transfer learning based hybrid model for power demand prediction of large-scale electric vehicles
Chenlu Tian, Yechun Liu, Guiqing Zhang, et al.
Energy (2024) Vol. 300, pp. 131461-131461
Closed Access | Times Cited: 7
A deep learning approach for prediction of air quality index in smart city
Adel Binbusayyis, Muhammad Attique Khan, Mohamed Mustaq Ahmed A, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 6
Real-time detection of wildfire risk caused by powerline vegetation faults using advanced machine learning techniques
Jun Ma, Jack C.P. Cheng, Feifeng Jiang, et al.
Advanced Engineering Informatics (2020) Vol. 44, pp. 101070-101070
Closed Access | Times Cited: 45
Transfer learning driven sequential forecasting and ventilation control of PM2.5 associated health risk levels in underground public facilities
Shahzeb Tariq, Jorge Loy-Benitez, KiJeon Nam, et al.
Journal of Hazardous Materials (2020) Vol. 406, pp. 124753-124753
Closed Access | Times Cited: 39
PM2.5 Prediction Using Genetic Algorithm-Based Feature Selection and Encoder-Decoder Model
Minh Hieu Nguyen, Phi Le Nguyen, Kien Nguyen, et al.
IEEE Access (2021) Vol. 9, pp. 57338-57350
Open Access | Times Cited: 36
Performance evaluation of short-term cross-building energy predictions using deep transfer learning strategies
Guannan Li, Yubei Wu, Jiangyan Liu, et al.
Energy and Buildings (2022) Vol. 275, pp. 112461-112461
Closed Access | Times Cited: 27
Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context
Basanti Pal Nandi, Gunjan Singh, Aakash Kumar Jain, et al.
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 1, pp. 1021-1036
Open Access | Times Cited: 15
Time-sensitive prediction of NO2 concentration in China using an ensemble machine learning model from multi-source data
Chenliang Tao, Man Jia, Guoqiang Wang, et al.
Journal of Environmental Sciences (2023) Vol. 137, pp. 30-40
Closed Access | Times Cited: 13
Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data
S. Y. Zhu, Jiayi Tang, Xiaolu Zhou, et al.
Environmental Reviews (2023) Vol. 31, Iss. 4, pp. 605-631
Open Access | Times Cited: 13
Short-term air quality prediction based on EMD-transformer-BiLSTM
Jie Dong, Yaoli Zhang, Jiang Hu
Scientific Reports (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 5

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