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 paired neural network model for tourist arrival forecasting
Yuan Yao, Yi Cao, Xuemei Ding, et al.
Expert Systems with Applications (2018) Vol. 114, pp. 588-614
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Data Analytics in the Supply Chain Management: Review of Machine Learning Applications in Demand Forecasting
Ammar Mohamed Aamer, Luh Putu Eka Yani, I Made Alan Priyatna
Operations and Supply Chain Management An International Journal (2020), pp. 1-13
Open Access | Times Cited: 75

A method for hand-foot-mouth disease prediction using GeoDetector and LSTM model in Guangxi, China
Jiangyan Gu, Lizhong Liang, Hongquan Song, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 72

Knowledge mapping of tourism demand forecasting research
Chengyuan Zhang, Shouyang Wang, Shaolong Sun, et al.
Tourism Management Perspectives (2020) Vol. 35, pp. 100715-100715
Open Access | Times Cited: 58

Echo state network optimization using binary grey wolf algorithm
Junxiu Liu, Tiening Sun, Yuling Luo, et al.
Neurocomputing (2019) Vol. 385, pp. 310-318
Open Access | Times Cited: 56

Tourism impact assessment modeling of vegetation density for protected areas using data mining techniques
Ali Jahani, Hamid Goshtasb, Maryam Saffariha
Land Degradation and Development (2020) Vol. 31, Iss. 12, pp. 1502-1519
Closed Access | Times Cited: 51

Forecasting Tourist Arrivals via Random Forest and Long Short-term Memory
Lu Peng, Lin Wang, Xue-Yi Ai, et al.
Cognitive Computation (2020) Vol. 13, Iss. 1, pp. 125-138
Closed Access | Times Cited: 49

Fast evaluation of crack growth path using time series forecasting
Dieu T.T., Jaehong Lee, H. Nguyen‐Xuan
Engineering Fracture Mechanics (2019) Vol. 218, pp. 106567-106567
Closed Access | Times Cited: 38

Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm
Ping Jiang, Hufang Yang, Ranran Li, et al.
Applied Soft Computing (2020) Vol. 92, pp. 106320-106320
Closed Access | Times Cited: 37

Forecasting Monthly Tourism Demand Using Enhanced Backpropagation Neural Network
Lin Wang, Binrong Wu, Qing Zhu, et al.
Neural Processing Letters (2020) Vol. 52, Iss. 3, pp. 2607-2636
Closed Access | Times Cited: 35

A Neural network enhanced hidden Markov model for tourism demand forecasting
Yuan Yao, Yi Cao
Applied Soft Computing (2020) Vol. 94, pp. 106465-106465
Open Access | Times Cited: 33

Study on the influence of meteorological factors on influenza in different regions and predictions based on an LSTM algorithm
Hansong Zhu, Si Chen, Wen Lu, et al.
BMC Public Health (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 21

Correlated Time-Series in Multi-Day-Ahead Streamflow Forecasting Using Convolutional Networks
Felipe Oliveira Barino, Vinicius N. H. Silva, Andrés P. L. Barbero, et al.
IEEE Access (2020) Vol. 8, pp. 215748-215757
Open Access | Times Cited: 28

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

Air passenger flow forecasting using nonadditive forecast combination with grey prediction
Yi‐Chung Hu
Journal of Air Transport Management (2023) Vol. 112, pp. 102439-102439
Closed Access | Times Cited: 7

Machine Learning based Forecasting Systems for Worldwide International Tourists Arrival
Ram Krishn Mishra, Siddhaling Urolagin, J. Angel Arul Jothi, et al.
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 11
Open Access | Times Cited: 16

A Bibliometric Analysis of Residents’ Perceptions in Rural Tourism Development Using CiteSpace
Liu Lulu, Sridar Ramachandran, Sheena Bidin, et al.
Tourism Planning & Development (2023) Vol. 21, Iss. 4, pp. 438-461
Closed Access | Times Cited: 6

Application of Machine Learning Techniques to Predict Visitors to the Tourist Attractions of the Moche Route in Peru
Jessie Bravo, Roger Alarcón, Carlos Valdivia, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 8967-8967
Open Access | Times Cited: 5

Forecasting international tourist arrivals in formulating tourism strategies and planning: The case of Sri Lanka
S.C. Thushara, Jen‐Je Su, Jayatilleke S. Bandara
Cogent Economics & Finance (2019) Vol. 7, Iss. 1, pp. 1699884-1699884
Open Access | Times Cited: 15

Forecasting tourist arrivals using dual decomposition strategy and an improved fuzzy time series method
Xiaozhen Liang, Zhikun Wu
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7161-7183
Closed Access | Times Cited: 7

Tourist Behaviour Analysis Based on Digital Pattern of Life—An Approach and Case Study
Sergey Mikhailov, Alexey Kashevnik
Future Internet (2020) Vol. 12, Iss. 10, pp. 165-165
Open Access | Times Cited: 9

Application of Improved Algorithm Based on Four-Dimensional ResNet in Rural Tourism Passenger Flow Prediction
Xi Chen, Donglai Cong
Journal of Sensors (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 6

Prediction of Tourist Flow Based on Deep Belief Network and Echo State Network
Cheng Xu, Chenyuan Zhao
Revue d intelligence artificielle (2019) Vol. 33, Iss. 4, pp. 275-281
Open Access | Times Cited: 8

Tourist Behaviour Analysis Based on Digital Pattern of Life
Sergey Mikhailov, Alexey Kashevnik, Alexander Smirnov
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2020), pp. 622-627
Closed Access | Times Cited: 7

Development cost prediction of general aviation aircraft using combined estimation technique
Xiaonan Chen, Jun Huang, Mingxu Yi
Chinese Journal of Aeronautics (2020) Vol. 34, Iss. 4, pp. 32-41
Open Access | Times Cited: 6

Prediction of outpatients with conjunctivitis in Xinjiang based on LSTM and GRU models
Yijia Wang, Xianglong Yi, Mei Luo, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0290541-e0290541
Open Access | Times Cited: 2

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