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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:

Haze pollution causality mining and prediction based on multi-dimensional time series with PS-FCM
Zhen Peng, Wanquan Liu, Senjian An
Information Sciences (2020) Vol. 523, pp. 307-317
Closed Access | Times Cited: 16

Showing 16 citing articles:

A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
Xue‐Bo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 335-335
Open Access | Times Cited: 77
Overview of knowledge reasoning for knowledge graph
Xinliang Liu, Tingyu Mao, Yanyan Shi, et al.
Neurocomputing (2024) Vol. 585, pp. 127571-127571
Closed Access | Times Cited: 8
Spatio-temporal multi-level attention crop mapping method using time-series SAR imagery
Zhu Han, Ce Zhang, Lianru Gao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 206, pp. 293-310
Open Access | Times Cited: 16
Z-number fuzzy cognitive maps for environmental pollution efficiency evaluation based on a bargaining game
Wenting Xue, Zijin Lin, Weihua Su, et al.
Journal of the Operational Research Society (2025), pp. 1-21
Closed Access
A machine learning-based study on the impact of COVID-19 on three kinds of pollution in Beijing-Tianjin-Hebei region
Yuchao Ren, Xu Guan, Qingzhu Zhang, et al.
The Science of The Total Environment (2023) Vol. 884, pp. 163190-163190
Open Access | Times Cited: 7
Causal Asymmetry Analysis in the View of Concept-Cognitive Learning by Incremental Concept Tree
Tao Zhang, Mei Rong, Haoran Shan, et al.
Cognitive Computation (2021) Vol. 13, Iss. 5, pp. 1274-1286
Closed Access | Times Cited: 17
Study on the interactive relationship between urban residents’ expenditure and energy consumption of production sectors
Chuang Tu, Xianzhong Mu, Jian Chen, et al.
Energy Policy (2021) Vol. 157, pp. 112502-112502
Closed Access | Times Cited: 15
The prediction model for haze pollution based on stacking framework and feature extraction of time series images
Hui Wang, Guizhi Wang
The Science of The Total Environment (2022) Vol. 839, pp. 156003-156003
Closed Access | Times Cited: 9
River runoff causal discovery with deep reinforcement learning
Junzhong Ji, Ting Wang, Jinduo Liu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3547-3565
Closed Access | Times Cited: 1
Semi-supervised urban haze pollution prediction based on multi-source heterogeneous data
Zuhan Liu, Lili Wang
Heliyon (2024) Vol. 10, Iss. 12, pp. e33332-e33332
Open Access | Times Cited: 1
Research Trend of Causal Machine Learning Method: A Literature Review
Shindy Arti, Indriana Hidayah, Sri Suning Kusumawardhani
IJID (International Journal on Informatics for Development) (2020) Vol. 9, Iss. 2, pp. 111-118
Open Access | Times Cited: 6
Robust Synthetic-to-Real Ensemble Dehazing Algorithm With the Intermediate Domain
Yingxu Qiao, Xing Wang, Hongmin Liu, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 4, pp. 5510-5524
Closed Access
Sculpture 3D printing realization system based on multi-dimensional image mining
Shan Jiang
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2022), pp. 1180-1184
Closed Access | Times Cited: 2
Analysis and Research on the Rehabilitation Effect of Physical Exercise on College Students’ Mental Depression Based on Multidimensional Data Mining
Wen Zou
Occupational Therapy International (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 2
Causal Identification Based on Compressive Sensing of Air Pollutants Using Urban Big Data
Mingwei Li, Jinpeng Li, Shuangning Wan, et al.
IEEE Access (2020) Vol. 8, pp. 109207-109216
Open Access | Times Cited: 2
Semi-Supervised Urban Haze Pollution Prediction Based on Multi-Source Heterogeneous Data
Zuhan Liu, Lili Wang, Kexin Zhao, et al.
(2023)
Closed Access
An interpretable prediction of FCM driven by small samples for energy analysis based on air quality prediction
Zhen Peng, Caixiao Zhang, Boyang Cao, et al.
Journal of the Air & Waste Management Association (2022) Vol. 72, Iss. 9, pp. 985-999
Closed Access
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