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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:

A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction
Zhongshan Yang, Jian Wang
Environmental Research (2017) Vol. 158, pp. 105-117
Closed Access | Times Cited: 142

Showing 51-75 of 142 citing articles:

A hybrid integrated deep learning model for predicting various air pollutants
Wenjing Mao, Limin Jiao, Weilin Wang, et al.
GIScience & Remote Sensing (2021) Vol. 58, Iss. 8, pp. 1395-1412
Open Access | Times Cited: 24
The impact of sensor layout on Source Term Estimation in urban neighborhood
Zhenzhe Liu, Xiaofeng Li
Building and Environment (2022) Vol. 213, pp. 108859-108859
Closed Access | Times Cited: 17
Short-term air quality forecasting model based on hybrid RF-IACA-BPNN algorithm
De-wen Qiao, Jian Yao, Jiwen Zhang, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 26, pp. 39164-39181
Closed Access | Times Cited: 16
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
Prediction of air pollutant concentrations based on the long short-term memory neural network
Zechuan Wu, Yuping Tian, Mingze Li, et al.
Journal of Hazardous Materials (2023) Vol. 465, pp. 133099-133099
Closed Access | Times Cited: 9
Application of a Hybrid Model Based on Echo State Network and Improved Particle Swarm Optimization in PM2.5 Concentration Forecasting: A Case Study of Beijing, China
Xinghan Xu, Weijie Ren
Sustainability (2019) Vol. 11, Iss. 11, pp. 3096-3096
Open Access | Times Cited: 29
PM2.5 concentrations forecasting using a new multi-objective feature selection and ensemble framework
Haiping Wu, Hui Liu, Zhu Duan
Atmospheric Pollution Research (2020) Vol. 11, Iss. 7, pp. 1187-1198
Closed Access | Times Cited: 25
Contrasts in chemical composition and oxidative potential in PM10 near flares in oil extraction and refining areas in Ecuador
Fiorella Barraza, Gaëlle Uzu, Jean‐Luc Jaffrezo, et al.
Atmospheric Environment (2020) Vol. 223, pp. 117302-117302
Open Access | Times Cited: 24
Air Pollution Prediction using Machine Learning
Shreyas Simu, Varsha Turkar, Rohit Martires, et al.
2021 IEEE Bombay Section Signature Conference (IBSSC) (2020), pp. 231-236
Closed Access | Times Cited: 22
Remotely sensed nighttime lights reveal China's urbanization process restricted by haze pollution
Shirao Liu, Kaifang Shi, Yizhen Wu, et al.
Building and Environment (2021) Vol. 206, pp. 108350-108350
Closed Access | Times Cited: 18
Optimization of sensor deployment sequences for hazardous gas leakage monitoring and source term estimation
Jikai Dong, Bing Wang, Xinjie Wang, et al.
Chinese Journal of Chemical Engineering (2022) Vol. 56, pp. 169-179
Closed Access | Times Cited: 13
Computational deep air quality prediction techniques: a systematic review
Manjit Kaur, Dilbag Singh, Mohamed Yaseen Jabarulla, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2053-2098
Closed Access | Times Cited: 7
Impact analysis of multi-sensor layout on the source term estimation of hazardous gas leakage
Jikai Dong, Wenli Du, Bing Wang, et al.
Journal of Loss Prevention in the Process Industries (2021) Vol. 73, pp. 104579-104579
Closed Access | Times Cited: 16
A Hybrid Deep Learning Model for Multi-step Ahead Prediction of PM2.5 Concentration Across India
Pranjol Goswami, M. Prakash, Rakesh Kumar Ranjan, et al.
Environmental Modeling & Assessment (2023) Vol. 28, Iss. 5, pp. 803-816
Closed Access | Times Cited: 6
Atmospheric pollutants: modeling with Aermod software
Joaci dos Santos Cerqueira, Helder Neves de Albuquerque, Francisco de Assis Salviano de Sousa
Air Quality Atmosphere & Health (2018) Vol. 12, Iss. 1, pp. 21-32
Closed Access | Times Cited: 19
Haze emission efficiency assessment and governance for sustainable development based on an improved network data envelopment analysis method
Xianhua Wu, Zhiyong Ji, Yeming Gong, et al.
Journal of Cleaner Production (2021) Vol. 317, pp. 128424-128424
Closed Access | Times Cited: 14
Power generation scheduling considering stochastic emission limits
Zhaowei Geng, Antonio J. Conejo, Qixin Chen, et al.
International Journal of Electrical Power & Energy Systems (2017) Vol. 95, pp. 374-383
Closed Access | Times Cited: 18
Assessment of air quality using a cloud model method
Qingwei Xu, Kaili Xu
Royal Society Open Science (2018) Vol. 5, Iss. 9, pp. 171580-171580
Open Access | Times Cited: 18
The Effect of Selected Meteorological Factors on the Process of “Polish Smog” Formation
Justyna Czerwińska, Grzegorz Wielgosiński
Journal of Ecological Engineering (2019) Vol. 21, Iss. 1, pp. 180-187
Open Access | Times Cited: 14
Addressing Missing Environmental Data via a Machine Learning Scheme
Chris G. Tzanis, Anastasios Alimissis, Ioannis Koutsogiannis
Atmosphere (2021) Vol. 12, Iss. 4, pp. 499-499
Open Access | Times Cited: 12
Data analysis and preprocessing techniques for air quality prediction: a survey
Chengqing Yu, Jing Tan, Yihan Cheng, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 6, pp. 2095-2117
Closed Access | Times Cited: 1
Measurement of aero-engine feature-hierarchy fusion degradation trend based on parameter-adaptive VMD method and improved transformer model
Junze Lu, Wei Jiang, Yanhe Xu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075005-075005
Closed Access | Times Cited: 1
Concentration and variation of traffic-related air pollution as measured by carbon monoxide in Hawassa City, Ethiopia
Asmare Asrat Yirdaw, Amanuel Ejeso, Anmut Endalkachew Bezie, et al.
Discover Environment (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
Smog episodes in the Lodz agglomeration in the years 2014-17
Grzegorz Wielgosiński, Justyna Czerwińska, Olga Namiecińska, et al.
E3S Web of Conferences (2018) Vol. 28, pp. 01039-01039
Open Access | Times Cited: 14
Emergency monitoring layout method for sudden air pollution accidents based on a dispersion model, fuzzy evaluation, and post-optimality analysis
Jixian Cui, Jianlei Lang, Chen Tian, et al.
Atmospheric Environment (2019) Vol. 222, pp. 117124-117124
Closed Access | Times Cited: 12

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