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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:

Time-series forecasting of consolidation settlement using LSTM network
Seong‐Ho Hong, Seokjun Ko, Sang Inn Woo, et al.
Applied Intelligence (2024) Vol. 54, Iss. 2, pp. 1386-1404
Closed Access | Times Cited: 12

Showing 12 citing articles:

An Ensemble Approach to Predict a Sustainable Energy Plan for London Households
Niraj Buyo, Akbar Sheikh-Akbari, Farrukh Saleem
Sustainability (2025) Vol. 17, Iss. 2, pp. 500-500
Open Access
Deep Learning for Time Series Forecasting: Review and Applications in Geotechnics and Geosciences
Farid Fazel Mojtahedi, Negin Yousefpour, Shiao Huey Chow, et al.
Archives of Computational Methods in Engineering (2025)
Open Access
Appraisal of Numerous Machine Learning Techniques for the Prediction of Consolidation Settlement Subjected to Placing of the Fill
Rashid Mustafa, Krishna Kumar, Ravi Shankar
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 4
Closed Access
LSTM-SVM-Weibull modeling for decommissioning amount prediction of power batteries based on attention mechanism and ISPBO algorithm
Mengna Zhao, S. Chen
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Prediction of Buildings’ Settlements Induced by Deep Foundation Pit Construction Based on LSTM-RA-ANN
Ting Hu, Jinming Xu
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5021-5021
Open Access | Times Cited: 3
A hybrid deep recurrent artificial neural network with a simple exponential smoothing feedback mechanism
Özlem Karahasan, Eren Baş, Erol Eğrioğlu
Information Sciences (2024) Vol. 686, pp. 121356-121356
Closed Access | Times Cited: 1
A novel bifold-attention-LSTM for analyzing PM2.5 concentration-based multi-station data time series
Andri Pranolo, Xiaofeng Zhou, Yingchi Mao
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 1
A Novel RUL-Centric Data Augmentation Method for Predicting the Remaining Useful Life of Bearings
Miao He, Zhonghua Li, Fangchao Hu
Machines (2024) Vol. 12, Iss. 11, pp. 766-766
Open Access | Times Cited: 1
Deep learning for safety risk management in modular construction: Status, strengths, challenges, and future directions
Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron, et al.
Automation in Construction (2024) Vol. 169, pp. 105894-105894
Closed Access | Times Cited: 1
A Framework for Enhanced Time Series Forecasting of Internet Traffic Based on AdaBoost-LSTM Integration
Qicheng Zhang
(2024), pp. 348-353
Closed Access
DCFA-iTimeNet: Dynamic cross-fusion attention network for interpretable time series prediction
Jianjun Yuan, Fujun Wu, Luoming Zhao, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access
An interfacial flow contact model for 2D plane strain consolidation analysis of layered saturated soil under continuous drainage boundaries
Jiahao Xie, Minjie Wen, Zhiran Gao, et al.
Computers and Geotechnics (2024) Vol. 179, pp. 106993-106993
Closed Access
Application of Deep Learning Algorithms for Predicting Consolidation Settlement
Seong‐Ho Hong, Minho Lee, Byeong-Soo Yoo, et al.
KSCE Journal of Civil Engineering (2024), pp. 100072-100072
Open Access
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