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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:

Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19
Binrong Wu, Lin Wang, Rui Tao, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 7, pp. 5437-5463
Open Access | Times Cited: 17

Showing 17 citing articles:

Enhancing hydroelectric inflow prediction in the Brazilian power system: A comparative analysis of machine learning models and hyperparameter optimization for decision support
Evandro Cardozo da Silva, Erlon Cristian Finardi, Stéfano Frizzo Stefenon
Electric Power Systems Research (2024) Vol. 230, pp. 110275-110275
Closed Access | Times Cited: 8
Short-Term Load Forecasting for Residential Buildings Based on Multivariate Variational Mode Decomposition and Temporal Fusion Transformer
H. Ye, Qiuyu Zhu, Xuefan Zhang
Energies (2024) Vol. 17, Iss. 13, pp. 3061-3061
Open Access | Times Cited: 6
Interpretable corn future price forecasting with multivariate time series
Binrong Wu, Zhongrui Wang, Lin Wang
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1575-1594
Closed Access | Times Cited: 5
Tourism demand forecasting using compound pattern recognition
Mingming Hu, Wenli Liang, Richard T.R. Qiu, et al.
Tourism Management (2025) Vol. 109, pp. 105138-105138
Closed Access
Interpretable Transformer Model for National Scale Drought Forecasting: Attention-Driven Insights Across India
Ashish Pathania, Vivek Gupta
Environmental Modelling & Software (2025), pp. 106394-106394
Closed Access
CO2 concentration forecasting in smart cities using a hybrid ARIMA–TFT model on multivariate time series IoT data
Pantelis Linardatos, Vasilis Papastefanopoulos, Theodor Panagiotakopoulos, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
A combined monthly precipitation prediction method based on CEEMD and improved LSTM
Xinyun Jiang
PLoS ONE (2023) Vol. 18, Iss. 7, pp. e0288211-e0288211
Open Access | Times Cited: 6
Optimization study of tourism total revenue prediction model based on the Grey Markov chain: a case study of Macau
Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong
AIMS Mathematics (2024) Vol. 9, Iss. 6, pp. 16187-16202
Open Access | Times Cited: 1
SCARNet: using convolution neural network to predict time series with time-varying variance
Shaojie Zhao, Menglin Kong, Ruichen Li, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Interpretable Tourism Demand Forecasting with Two-Stage Decomposition and Temporal Fusion Transformers
Binrong Wu, Lin Wang, Yu‐Rong Zeng
Journal of Systems Science and Complexity (2024) Vol. 37, Iss. 6, pp. 2654-2679
Closed Access | Times Cited: 1
EMD-based model with cooperative training mechanism for tourism demand forecasting
Zhixue Liao, Chi Ren, Fenglan Sun, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122930-122930
Closed Access | Times Cited: 4
Time-series benchmarks based on frequency features for fair comparative evaluation
Zhou Wu, Ruiqi Jiang
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 17029-17041
Open Access | Times Cited: 3
Interpretable hierarchical error correction GRU model for effective observation selection
Chao Zhang, Defu Jiang, Yiyue Gao, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110982-110982
Closed Access | Times Cited: 2
MODELADO MATEMÁTICO DEL FLUJO DE PASAJEROS EN EL AEROPUERTO INTERNACIONAL DE TOCUMEN UTILIZANDO ANÁLISIS DE SERIES TEMPORALES SARIMA
J. González, Abraham De Sedas
Latitude (2024) Vol. 1, Iss. 19, pp. 7-21
Open Access
Daily Tourism Demand Forecasting with the iTransformer Model
Jiahui Huang, Chenglong Zhang
Sustainability (2024) Vol. 16, Iss. 23, pp. 10678-10678
Open Access
Tourism Forecasting of “Unpredictable” Future Shocks: A Literature Review by the PRISMA Model
Sergej Gričar
Journal of risk and financial management (2023) Vol. 16, Iss. 12, pp. 493-493
Open Access | Times Cited: 1
Design of a Framework for Demand Forecasting Using Time Series Decomposition-Based Approach
Hazuki Shibayama, Aya Ishigaki, Takasumi Kobe, et al.
PHM Society Asia-Pacific Conference (2023) Vol. 4, Iss. 1
Open Access
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