Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow
Lijuan Wu, Guohua Cao
Knowledge-Based Systems (2016) Vol. 110, pp. 157-166
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Forecasting tourist arrivals with machine learning and internet search index
Shaolong Sun, Yunjie Wei, Kwok‐Leung Tsui, et al.
Tourism Management (2018) Vol. 70, pp. 1-10
Closed Access | Times Cited: 325
Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index
Shaowen Li, Tao Chen, Lin Wang, et al.
Tourism Management (2018) Vol. 68, pp. 116-126
Closed Access | Times Cited: 219
Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network
Yongli Wang, Yudong Wang, Yujing Huang, et al.
Applied Energy (2019) Vol. 251, pp. 113410-113410
Closed Access | Times Cited: 204
Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review
Reza Sirjani, Ahmad Rezaee Jordehi
Renewable and Sustainable Energy Reviews (2017) Vol. 77, pp. 688-694
Closed Access | Times Cited: 134
Tourism forecasting: A review of methodological developments over the last decade
Xiaoying Jiao, Jason Li Chen
Tourism Economics (2018) Vol. 25, Iss. 3, pp. 469-492
Closed Access | Times Cited: 132
Risk prediction and factors risk analysis based on IFOA-GRNN and apriori algorithms: Application of artificial intelligence in accident prevention
Xuecai Xie, Gui Fu, Yujingyang Xue, et al.
Process Safety and Environmental Protection (2018) Vol. 122, pp. 169-184
Closed Access | Times Cited: 106
A decomposition-ensemble approach for tourism forecasting
Gang Xie, Yatong Qian, Shouyang Wang
Annals of Tourism Research (2020) Vol. 81, pp. 102891-102891
Open Access | Times Cited: 84
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: 39
Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China
Lin Wang, Sheng-Xiang Lv, Yu‐Rong Zeng
Energy (2018) Vol. 155, pp. 1013-1031
Closed Access | Times Cited: 83
Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin
Saeed Samadianfard, Salar Jarhan, Ely Salwana, et al.
Water (2019) Vol. 11, Iss. 9, pp. 1934-1934
Open Access | Times Cited: 71
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis
Yi Fan, Pengjun Wang, Ali Asghar Heidari, et al.
Expert Systems with Applications (2020) Vol. 157, pp. 113486-113486
Closed Access | Times Cited: 69
Stacked autoencoder with echo-state regression for tourism demand forecasting using search query data
Sheng-Xiang Lv, Lu Peng, Lin Wang
Applied Soft Computing (2018) Vol. 73, pp. 119-133
Closed Access | Times Cited: 65
Machine learning models for predicting international tourist arrivals in Indonesia during the COVID-19 pandemic: a multisource Internet data approach
Dinda Thalia Andariesta, Meditya Wasesa
Journal of Tourism Futures (2022)
Open Access | Times Cited: 34
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
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges
Juan Guerra-Montenegro, Javier Medina, Ibai Laña, et al.
Applied Soft Computing (2021) Vol. 102, pp. 107082-107082
Open Access | Times Cited: 39
A hybrid ARIMA-SVR approach for forecasting emergency patient flow
Yumeng Zhang, Li Luo, Shuicheng Yan, et al.
Journal of Ambient Intelligence and Humanized Computing (2018) Vol. 10, Iss. 8, pp. 3315-3323
Closed Access | Times Cited: 43
An ensemble multi-step-ahead forecasting system for fine particulate matter in urban areas
Ida Kalate Ahani, Majid Salari, Alireza Shadman
Journal of Cleaner Production (2020) Vol. 263, pp. 120983-120983
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: 38
Boosted hunting-based fruit fly optimization and advances in real-world problems
Yi Fan, Pengjun Wang, Ali Asghar Heidari, et al.
Expert Systems with Applications (2020) Vol. 159, pp. 113502-113502
Closed Access | Times Cited: 36
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
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm
Shaolong Sun, Mingchen Li, Shouyang Wang, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118502-118502
Closed Access | Times Cited: 20
Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19
Binrong Wu, Lin Wang, Yu‐Rong Zeng
Applied Intelligence (2022) Vol. 53, Iss. 11, pp. 14493-14514
Open Access | Times Cited: 20
Smoothing-Aided Support Vector Machine Based Nonstationary Video Traffic Prediction Towards B5G Networks
Yingqi Li, Juan Wang, Xiaochuan Sun, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 7, pp. 7493-7502
Open Access | Times Cited: 30
A novel BEMD-based method for forecasting tourist volume with search engine data
Ling Tang, Chengyuan Zhang, Tingfei Li, et al.
Tourism Economics (2020) Vol. 27, Iss. 5, pp. 1015-1038
Closed Access | Times Cited: 30
Page 1 - Next Page

Scroll to top