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:

Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed
Sidong Xian, Kaiyuan Chen, Yue Cheng
Advances in Engineering Software (2022) Vol. 173, pp. 103212-103212
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Wind power forecasting system with data enhancement and algorithm improvement
Yagang Zhang, Xue Kong, Jingchao Wang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114349-114349
Closed Access | Times Cited: 16

Prediction of maximum ground surface settlement induced by shield tunneling using XGBoost algorithm with golden-sine seagull optimization
Xiangzhen Zhou, Chuang Zhao, Xuecheng Bian
Computers and Geotechnics (2022) Vol. 154, pp. 105156-105156
Closed Access | Times Cited: 49

Renewable energy generation forecasting in Turkey via intuitionistic fuzzy time series approach
Süleyman Çakır
Renewable Energy (2023) Vol. 214, pp. 194-200
Closed Access | Times Cited: 16

An intelligent interval forecasting system based on fuzzy time series and error distribution characteristics for air quality index
Hufang Yang, Yuyang Gao, Fusen Zhao, et al.
Environmental Research (2024) Vol. 251, pp. 118577-118577
Closed Access | Times Cited: 5

Modeling coking coal indexes by SHAP-XGBoost: Explainable artificial intelligence method
Arman Homafar, Hamid Nasiri, Saeed Chehreh Chelgani
Fuel Communications (2022) Vol. 13, pp. 100078-100078
Closed Access | Times Cited: 24

Wind Power Forecasting Using Optimized Dendritic Neural Model Based on Seagull Optimization Algorithm and Aquila Optimizer
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Mohamed Abd Elaziz, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9261-9261
Open Access | Times Cited: 22

HPO-empowered machine learning with multiple environment variables enables spatial prediction of soil heavy metals in coastal delta farmland of China
Yingqiang Song, Dexi Zhan, Zhenxin He, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108254-108254
Closed Access | Times Cited: 12

Damage Detection for Truss Bridge Structure Using XGBoost
Huu Quyet Nguyen, Tran Ngoc Hoa, Ngoc‐Lan Nguyen, et al.
Advances in science and technology (2025) Vol. 158, pp. 65-74
Closed Access

NOx emission predicting for coal-fired boilers based on ensemble learning methods and optimized base learners
Xiaoqiang Wen, Kaichuang Li, Jianguo Wang
Energy (2022) Vol. 264, pp. 126171-126171
Closed Access | Times Cited: 20

A multi-objective fuzzy programming model for port tugboat scheduling based on the Stackelberg game
Yangjun Ren, Qiong Chen, Yui‐yip Lau, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Regenerative Braking Algorithm for Parallel Hydraulic Hybrid Vehicles Based on Fuzzy Q-Learning
Xiaobin Ning, Jiazheng Wang, Yuming Yin, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1895-1895
Open Access | Times Cited: 8

An air quality forecasting method using fuzzy time series with butterfly optimization algorithm
Samit Bhanja, Abhishek Das
Microsystem Technologies (2024) Vol. 30, Iss. 5, pp. 613-623
Closed Access | Times Cited: 1

Multi-strategy improved seagull optimization algorithm and its application in practical engineering
Peng Chen, Huilin Li, Feng He, et al.
Engineering Optimization (2024), pp. 1-39
Closed Access | Times Cited: 1

VWFTS-PSO: a novel method for time series forecasting using variational weighted fuzzy time series and particle swarm optimization
Ganesh Didugu, Manoranjan Gandhudi, P. J. A. Alphonse, et al.
International Journal of General Systems (2024), pp. 1-20
Closed Access | Times Cited: 1

TiDEFormer—a heterogenous stacking ensemble approach for time series forecasting of COVID-19 prevalence
Satya Prakash, Anand Singh Jalal, Pooja Pathak
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1

Implementing lee's model to apply fuzzy time series in forecasting bitcoin price
Yuniar Farida, Lailatul Ainiyah
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 66-77
Open Access

Advanced forecasting of COVID-19 epidemic: Leveraging ensemble models, advanced optimization, and decomposition techniques
Yingyu Yin, Iman Ahmadianfar, Faten Khalid Karim, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108442-108442
Closed Access

Implementing lee's model to apply fuzzy time series in forecasting bitcoin price
Yuniar Farida, Lailatul Ainiyah
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 66-77
Open Access

Implementing lee's model to apply fuzzy time series in forecasting bitcoin price
Yuniar Farida, Lailatul Ainiyah
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 72-83
Open Access

Assessing risk of acute respiratory infectious diseases in crowded indoor settings with digital twin and precision trajectory approach
Yu-Yang Wang, Ke Chen, Zhe Wen, et al.
Environmental and Sustainability Indicators (2024) Vol. 23, pp. 100424-100424
Open Access

Design of application-oriented disease diagnosis model using a meta-heuristic algorithm
Zuoshan Wang, Shilin Wang, Manya Wang, et al.
Technology and Health Care (2024) Vol. 32, Iss. 6, pp. 4041-4061
Closed Access

Forecasting of coronavirus active cases by utilizing logistic growth model and fuzzy time series techniques
Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

An Immense Approach of High Order Fuzzy Time Series Forecasting of Household Consumption Expenditures with High Precision
S. M. Aqil Burney, Muhammad Shahbaz Khan, Muhammad Affan Alim, et al.
Applied Computer Systems (2024) Vol. 29, Iss. 1, pp. 1-7
Open Access

Forecasting COVID-19 Pandemic – A scientometric Review of Methodologies Based on Mathematics, Statistics, and Machine Learning
Satya Prakash, Anand Singh Jalal, Pooja Pathak
Data & Metadata (2024) Vol. 3
Closed Access

Page 1 - Next Page

Scroll to top