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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:

Subway air quality modeling using improved deep learning framework
Duanwu Yang, Jinyong Wang, Xiaoan Yan, et al.
Process Safety and Environmental Protection (2022) Vol. 163, pp. 487-497
Closed Access | Times Cited: 18

Showing 18 citing articles:

A novel deep learning model integrating CNN and GRU to predict particulate matter concentrations
Zhuoyue Guo, Canyun Yang, Dongsheng Wang, et al.
Process Safety and Environmental Protection (2023) Vol. 173, pp. 604-613
Closed Access | Times Cited: 74
Risk identification and assessment methods of offshore platform equipment and operations
Keyang Liu, Baoping Cai, Qibing Wu, et al.
Process Safety and Environmental Protection (2023) Vol. 177, pp. 1415-1430
Closed Access | Times Cited: 25
Forecasting carbon price in the European carbon market: The role of structural changes
Boqiang Lin, Chongchong Zhang
Process Safety and Environmental Protection (2022) Vol. 166, pp. 341-354
Closed Access | Times Cited: 26
Predicting indoor temperature and humidity in a naturally ventilated office room using long short-term memory networks model in a tropical climate
Tran Van Quang, Dat Tien Doan, Nguyen Lu Phuong, et al.
Architectural Engineering and Design Management (2025), pp. 1-21
Closed Access
IAQ-STL-ML: A novel indoor air quality prediction pipeline using meta-learning framework with STL decomposition
Helin Yin, Jin Dong, Hee Ji Hong, et al.
Environmental Technology & Innovation (2025), pp. 104107-104107
Open Access
Fusing multi-sensor data for bag filter system risk early warning based on deep learning
Yuexian Hou, Qiang Wang, Yamin Lin, et al.
Process Safety and Environmental Protection (2025), pp. 107096-107096
Closed Access
Soft sensor for predicting indoor PM2.5 concentration in subway with adaptive boosting deep learning model
Jinyong Wang, Dongsheng Wang, Fengshan Zhang, et al.
Journal of Hazardous Materials (2023) Vol. 465, pp. 133074-133074
Closed Access | Times Cited: 11
Fluctuations and Forecasting of Carbon Price Based on A Hybrid Ensemble Learning GARCH-LSTM-Based Approach: A Case of Five Carbon Trading Markets in China
Sha Liu, Yiting Zhang, Junping Wang, et al.
Sustainability (2024) Vol. 16, Iss. 4, pp. 1588-1588
Open Access | Times Cited: 4
Using the TSA-LSTM two-stage model to predict cancer incidence and mortality
Rabnawaz Khan, Jie Wang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317148-e0317148
Open Access
Deep Learning-Based Indoor Air Quality Forecasting Framework for Indoor Subway Station Platforms
Ahtesham Bakht, Shambhavi Sharma, Duckshin Park, et al.
Toxics (2022) Vol. 10, Iss. 10, pp. 557-557
Open Access | Times Cited: 16
Enhancing the sustainable management of fine particulate matter-related health risks at subway stations through sequential forecast and gated probabilistic transformer
Shahzeb Tariq, Jorge Loy-Benitez, ChangKyoo Yoo
Building and Environment (2023) Vol. 244, pp. 110780-110780
Closed Access | Times Cited: 7
Carbon prices forecasting based on the singular spectrum analysis, feature selection, and deep learning: Toward a unified view
Chongchong Zhang, Boqiang Lin
Process Safety and Environmental Protection (2023) Vol. 177, pp. 932-946
Closed Access | Times Cited: 5
An overview of artificial intelligence in subway indoor air quality prediction and control
Jinyong Wang, ChangKyoo Yoo, Hongbin Liu
Process Safety and Environmental Protection (2023) Vol. 178, pp. 652-662
Closed Access | Times Cited: 5
Enhancing water quality prediction with advanced machine learning techniques: An extreme gradient boosting model based on long short-term memory and autoencoder
Kai Zhang, Xinyuan Wang, Tianlong Liu, et al.
Journal of Hydrology (2024), pp. 132115-132115
Closed Access | Times Cited: 1
Distribution and Fractal Characteristics of Outdoor Particles in High-Rise Buildings Based on Fractal Theory
Fuquan Liu, Tao Yu, Wenjun Leng, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 9, pp. 669-669
Open Access | Times Cited: 2
A Hybrid Decision-Tree and ANN Learning Model for Air Contamination Forecasting
Suriya Gunasekar, G. Pius Agbulu, G. Joselin Retna Kumar, et al.
(2024), pp. 1-5
Closed Access
A novel combined multi-variate prediction framework for air pollution based on feature selection and deep learning models
Lu Bai, Pei Du, Shubin Wang, et al.
Process Safety and Environmental Protection (2024)
Closed Access
Single-Frequency GNSS Integer Ambiguity Solving Based on Adaptive Genetic Particle Swarm Optimization Algorithm
Ying‐Qing Guo, Yan Zhang, Zhao-Dong Xu, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9353-9353
Open Access | Times Cited: 1
Data-driven Real-time Short-term Prediction of Air Quality: Comparison of ES, ARIMA, and LSTM
Iryna Talamanova, Sabri Pllana
Lecture notes in networks and systems (2023), pp. 322-331
Closed Access
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