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:

Monitoring and modelling of PM2.5 concentration at subway station construction based on IoT and LSTM algorithm optimization
Xiaohui Guo, Yuanfeng Wang, Shengqi Mei, et al.
Journal of Cleaner Production (2022) Vol. 360, pp. 132179-132179
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques
Meric Yilmaz Salman, Halil Hasar
Sustainable Cities and Society (2023) Vol. 94, pp. 104567-104567
Closed Access | Times Cited: 104

Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
Zhenfang He, Qingchun Guo, Zhaosheng Wang, et al.
Atmosphere (2022) Vol. 13, Iss. 8, pp. 1221-1221
Open Access | Times Cited: 59

PM2.5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India
Deepti Shakya, Vishal Deshpande, Manish Kumar Goyal, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139278-139278
Closed Access | Times Cited: 29

Neurotoxicity of the air-borne particles: From molecular events to human diseases
Fang Liu, Chunyan Liu, Yin Liu, et al.
Journal of Hazardous Materials (2023) Vol. 457, pp. 131827-131827
Closed Access | Times Cited: 26

Experimental study and resilience modeling for prefabricated hollow diaphragm walls of full-assembled underground stations under urban multi-disturbance conditions
Tong Qiu, Xiaohui Sun, Xiangsheng Chen, et al.
Tunnelling and Underground Space Technology (2023) Vol. 135, pp. 105044-105044
Closed Access | Times Cited: 23

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

Modeling PM2.5 forecast using a self-weighted ensemble GRU network: Method optimization and evaluation
Hengjun Huang, Chonghui Qian
Ecological Indicators (2023) Vol. 156, pp. 111138-111138
Open Access | Times Cited: 20

MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for Air Quality Prediction
Chengqing Yu, Fei Wang, Yilun Wang, et al.
Information Fusion (2024) Vol. 113, pp. 102607-102607
Closed Access | Times Cited: 8

Intelligent monitoring and quantitative evaluation of fire risk in subway construction: Integration of multi- source data fusion, FTA, and deep learning
Guangyao Chen, Shaofeng Wang, Yinsai Ran, et al.
Journal of Cleaner Production (2024) Vol. 478, pp. 143832-143832
Closed Access | Times Cited: 7

Toward better atmospheric polycyclic aromatic hydrocarbons pollution control in the Northern Hemisphere: Process analysis based on interpretable deep learning models
Cuicui Tao, Tengyi Zhu, Dafang Fu, et al.
Journal of Cleaner Production (2024) Vol. 457, pp. 142442-142442
Closed Access | Times Cited: 6

The effect of polycentric urban spatial structure on PM2.5: An empirical study of China
Sheng Zheng, Yukuan Huang, Yuyuan Fu
Sustainable Cities and Society (2023) Vol. 98, pp. 104806-104806
Closed Access | Times Cited: 14

Innovative approach to daily carbon dioxide emission forecast based on ensemble of quantile regression and attention BILSTM
Zeren Zhou, Yu Le, Wang Yu-ming, et al.
Journal of Cleaner Production (2024) Vol. 460, pp. 142605-142605
Closed Access | Times Cited: 6

Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data
SangYoun Kim, Shahzeb Tariq, Roberto Chang, et al.
Building and Environment (2024) Vol. 263, pp. 111906-111906
Closed Access | Times Cited: 4

Monitoring and estimation of urban emissions with low-cost sensor networks and deep learning
Huynh Nguyen, Trung H. Le, Merched Azzi, et al.
Ecological Informatics (2024) Vol. 82, pp. 102750-102750
Open Access | Times Cited: 4

Accurate PM2.5 urban air pollution forecasting using multivariate ensemble learning Accounting for evolving target distributions
Rajnish Rakholia, Quan Le, Hoang Ngoc Khue Vu, et al.
Chemosphere (2024) Vol. 364, pp. 143097-143097
Open Access | Times Cited: 4

A hybrid model for multistep-ahead significant wave height prediction using an innovative decomposition–reconstruction framework and E-GRU
Mie Wang, Feixiang Ying
Applied Ocean Research (2023) Vol. 140, pp. 103752-103752
Closed Access | Times Cited: 11

Improvement Measures for Air Quality in Subway Stations: Selection of Ventilation Mode
Chunwang Wang, Xiaofeng Li
Journal of Building Engineering (2025) Vol. 108, pp. 112812-112812
Closed Access

The Evolution of Civil Engineering Field With the Emergence and Incorporation of Artificial Intelligence and Internet of Things
Aditya Singh
Advances in computational intelligence and robotics book series (2025), pp. 431-486
Closed Access

State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 3

Deep learning for safety risk management in modular construction: Status, strengths, challenges, and future directions
Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron, et al.
Automation in Construction (2024) Vol. 169, pp. 105894-105894
Closed Access | Times Cited: 3

Biometric Authentication and Correlation Analysis Based on CNN‐SRU Hybrid Neural Network Model
Houding Zhang, Zexian Yang
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 8

Particulate matter forecast and prediction in Curitiba using machine learning
Marianna Gonçalves Dias Chaves, Adriel Bilharva da Silva, Emílio Graciliano Ferreira Mercuri, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 2

An ensemble convolutional reinforcement learning gate network for metro station PM2.5 forecasting
Chengqing Yu, Guangxi Yan, Kaiyi Ruan, et al.
Stochastic Environmental Research and Risk Assessment (2023)
Closed Access | Times Cited: 6

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