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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:

Attention-Based STL-BiLSTM Network to Forecast Tourist Arrival
Mohd Adil, Jei‐Zheng Wu, Ripon K. Chakrabortty, et al.
Processes (2021) Vol. 9, Iss. 10, pp. 1759-1759
Open Access | Times Cited: 23

Showing 23 citing articles:

Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications
Ibomoiye Domor Mienye, Theo G. Swart, George Obaido
Information (2024) Vol. 15, Iss. 9, pp. 517-517
Open Access | Times Cited: 25
Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications
Ibomoiye Domor Mienye, Theo G. Swart, George Obaido
(2024)
Open Access | Times Cited: 21
The Convolutional Neural Network Text Classification Algorithm in the Information Management of Smart Tourism Based on Internet of Things
Lianchao Meng
IEEE Access (2024) Vol. 12, pp. 3570-3580
Open Access | Times Cited: 20
A graph-attention based spatial-temporal learning framework for tourism demand forecasting
Binggui Zhou, Yunxuan Dong, Guanghua Yang, et al.
Knowledge-Based Systems (2023) Vol. 263, pp. 110275-110275
Closed Access | Times Cited: 16
Machine learning applied to tourism: A systematic review
José Carlos Sancho Núñez, Juan A. Gómez‐Pulido, Rafael Robina Ramírez
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 7
Forecasting tourism demand with a novel robust decomposition and ensemble framework
Xin Li, Xu Zhang, Chengyuan Zhang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121388-121388
Closed Access | Times Cited: 14
Spatial Analysis of Seasonal and Trend Patterns in Romanian Agritourism Arrivals Using Seasonal-Trend Decomposition Using LOESS
Marius-Ionuț Gordan, C. Popescu, J. Călina, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 229-229
Open Access | Times Cited: 4
Forecasting resort hotel tourism demand using deep learning techniques – A systematic literature review
Noomesh Dowlut, Baby Gobin-Rahimbux
Heliyon (2023) Vol. 9, Iss. 7, pp. e18385-e18385
Open Access | Times Cited: 12
Impact of the COVID-19 on the Destination Choices of Hungarian Tourists: A Comparative Analysis
Marcell Kupi, Eszter Szemerédi
Sustainability (2021) Vol. 13, Iss. 24, pp. 13785-13785
Open Access | Times Cited: 25
The impact of memorable tourism experiences on customer-based destination brand equity: the mediating role of destination attachment and overall satisfaction
Ayush Guleria, Richa Joshi, Mohd Adil
Journal of Hospitality and Tourism Insights (2023) Vol. 7, Iss. 4, pp. 1994-2013
Closed Access | Times Cited: 10
Sustainable Intelligent Information System for Tourism Industry
Anurag Kumar, Himanshu Rai Goyal, Sachin Sharma
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2023), pp. 1-6
Closed Access | Times Cited: 9
Modeling Vehicle Insurance Adoption by Automobile Owners: A Hybrid Random Forest Classifier Approach
Moin Uddin, Mohd Faizan Ansari, Mohd Adil, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 629-629
Open Access | Times Cited: 5
Deep Learning with Statistical Analysis for Stress Prediction of Remote Working IT Employees in COVID-19 Pandemic
VG Jayasutha, Thiruchelvi Arunachalam
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2022), pp. 179-184
Closed Access | Times Cited: 5
DFINet: Dual-way Feature Interaction Network for Long-Term Series Forecasting
Guokai Zhang, A Zhang, Bo Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access
An End-to-End Scene Text Recognition for Bilingual Text
Bayan M. Albalawi, Amani Jamal, Lama Al Khuzayem, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 117-117
Open Access
Forecasting Visitor Arrivals at Tourist Attractions: A Time Series Framework with the N-BEATS for Sustainable Tourism
Ke Xu, Junli Zhang, Junhao Huang, et al.
Sustainability (2024) Vol. 16, Iss. 18, pp. 8227-8227
Open Access
Spatial layout optimization model integrating layered attention mechanism in the development of smart tourism management
Jie Ding, Lingyan Weng, Lili Fan, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2329-e2329
Open Access
Advancing tourism demand forecasting in Sri Lanka: evaluating the performance of machine learning models and the impact of social media data integration
Isuru Udayangani Hewapathirana
Journal of Tourism Futures (2023)
Open Access | Times Cited: 1
Forecasting Resort Hotel Tourism Demand Using Deep Learning Techniques – A Systematic Literature Review
Noomesh Dowlut, Baby Gobin-Rahimbux
(2023)
Closed Access
Tourism demand forecasting using PCA-BPNN
Xin Zhao
Academic Journal of Computing & Information Science (2023) Vol. 6, Iss. 9
Open Access
Simulation of Tourist Attraction Traffic Prediction Model Based on Support Vector Machine Algorithm
Xuejing Jing
(2023), pp. 364-369
Closed Access
Prediction of Aerosol Extinction Coefficient in Coastal Areas of South China Based on Attention-BiLSTM
Ye Zhou, Shengcheng Cui, Zhi Qiao, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 4, pp. 545-545
Open Access
Special Issue on Recent Advances in Machine Learning and Applications
Chien-Chih Wang
Processes (2022) Vol. 10, Iss. 11, pp. 2411-2411
Open Access
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