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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:

Forecasting annual natural gas consumption via the application of a novel hybrid model
Feng Gao, Xueyan Shao
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 17, pp. 21411-21424
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Employing categorical boosting (CatBoost) and meta-heuristic algorithms for predicting the urban gas consumption
Leren Qian, Zhongsheng Chen, Yiqian Huang, et al.
Urban Climate (2023) Vol. 51, pp. 101647-101647
Closed Access | Times Cited: 37
A study on natural gas consumption forecasting in China using the LMDI-PSO-LSTM model: Factor decomposition and scenario analysis
Qi Wang, Ruixia Suo, Qiutong Han
Energy (2024) Vol. 292, pp. 130435-130435
Closed Access | Times Cited: 13
Forecasting annual natural gas consumption in USA: Application of machine learning techniques- ANN and SVM
Sanjeet Singh, Pooja Bansal, Mosharrof Hosen, et al.
Resources Policy (2022) Vol. 80, pp. 103159-103159
Closed Access | Times Cited: 35
A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases
Rabin K. Jana, Indranil Ghosh
Annals of Operations Research (2022)
Open Access | Times Cited: 25
Forecasting COVID-19 recovered cases with Artificial Neural Networks to enable designing an effective blood supply chain
Ertuğrul Ayyıldız, Melike Erdoğan, Alev Taşkın Gümüş
Computers in Biology and Medicine (2021) Vol. 139, pp. 105029-105029
Open Access | Times Cited: 24
A time series forecasting analysis of overall and sector-based natural gas demand: a developing South Asian economy case
Anwar Hussain, Junaid Alam Memon, Muntasir Murshed, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 47, pp. 71676-71687
Closed Access | Times Cited: 14
Predicting the monthly consumption and production of natural gas in the USA by using a new hybrid forecasting model based on two-layer decomposition
Shuai Jiang, Xiu‐Ting Zhao, Ning Li
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 14, pp. 40799-40824
Open Access | Times Cited: 8
Comparative study on monthly natural gas vehicle fuel consumption and industrial consumption using multi-hybrid forecast models
Zeydin Pala
Energy (2022) Vol. 263, pp. 125826-125826
Closed Access | Times Cited: 13
Is income inequality a stumbling block to the global natural gas market?
Jun Zhao, Kangyin Dong, Farhad Taghizadeh‐Hesary
Energy Economics (2023) Vol. 118, pp. 106520-106520
Closed Access | Times Cited: 7
Application of forecasting strategies and techniques to natural gas consumption: A comprehensive review and comparative study
Ning Tian, Bilin Shao, Genqing Bian, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107644-107644
Closed Access | Times Cited: 7
Deep convolutional neural networks for short-term multi-energy demand prediction of integrated energy systems
Corneliu Arsene, Alessandra Parisio
International Journal of Electrical Power & Energy Systems (2024) Vol. 160, pp. 110111-110111
Open Access | Times Cited: 2
Demand for Storage and Import of Natural Gas in China until 2060: Simulation with a Dynamic Model
Zhihua Chen, Hui Wang, Tongxia Li, et al.
Sustainability (2021) Vol. 13, Iss. 15, pp. 8674-8674
Open Access | Times Cited: 13
Improved multi-gate mixture-of-experts framework for multi-step prediction of gas load
Jianfeng Tong, Zhenxing Liu, Yong Zhang, et al.
Energy (2023) Vol. 282, pp. 128344-128344
Closed Access | Times Cited: 4
Bio-Inspired Algorithms in Robotics Systems: An Overview
Soukayna Belghiti Alaoui, Badr El Kari, Yassine Chaibi, et al.
Lecture notes in networks and systems (2024), pp. 496-513
Closed Access | Times Cited: 1
A support vector machines framework for identification of infrared spectra
M. Arshad Zahangir Chowdhury, Timothy E. Rice, Matthew A. Oehlschlaeger
Applied Physics B (2022) Vol. 128, Iss. 9
Closed Access | Times Cited: 7
Enhanced thermoelectric performance from bulk to monolayer BiSbS3 from first principle study
Bin Xu, Shaoheng Yuan, Xinyu Liu, et al.
Computational Materials Science (2022) Vol. 211, pp. 111497-111497
Closed Access | Times Cited: 6
From traditional to modern methods: Comparing and introducing the most powerful model for forecasting the residential natural gas demand
Mohamad Hossein Safiyari, Saeed Shavvalpour, Sina Tarighi
Energy Reports (2022) Vol. 8, pp. 14699-14715
Open Access | Times Cited: 5
Comparison of hybrid and non-hybrid models in short-term predictions on time series in the R development environment
Zeydin Pala, İbrahim Halil Ünlük
DÜMF Mühendislik Dergisi (2022)
Open Access | Times Cited: 4
One step to enhancement the performance of XGBoost through GSK for prediction ethanol, ethylene, ammonia, acetaldehyde, acetone, and toluene
Samaher Al-Janabi, Hadeer Majed, Saif Mahmood
Elsevier eBooks (2023), pp. 179-203
Closed Access | Times Cited: 2
Predicting Ghana’s Daily Natural Gas Consumption Using Time Series Models
Eric Broni–Bediako, Albert Buabeng, Philip Allotey
Petroleum Science and Engineering (2024) Vol. 8, Iss. 1, pp. 27-37
Open Access
Factor Analysis and Regression Prediction Model of Swimmers’ Performance Structure Based on Mixed Genetic Neural Network
Rui Yuan, Yuexing Han
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 2
Analysis of Natural Gas Consumption Interdependence for Polish Industrial Consumers on the Basis of an Econometric Model
Tomasz Chrulski, Mariusz Łaciak
Energies (2021) Vol. 14, Iss. 22, pp. 7649-7649
Open Access | Times Cited: 2
Predicting the Welfare Cost of Premature Deaths Based on Unsafe Sanitation Risk using SutteARIMA and Comparison with Neural Network Time Series and Holt-Winters
Suwardi Annas, Ansari Saleh Ahmar, Rahmat Hidayat
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 1, pp. 153-153
Open Access
Deep Learning Models for Multi-Energy Prediction of Combined Electrical, Heat and Gas network systems
Corneliu Arsene, Alessandra Parisio
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access
Construction of Enterprise English Adaptive Learning Platform Based on Big Data Analysis
Chen Luo
Scientific Programming (2022) Vol. 2022, pp. 1-10
Open Access
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