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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:

Multivariable sales prediction for filling stations via GA improved BiLSTM
Shiyuan Pan, Qi Liao, Yongtu Liang
Petroleum Science (2022) Vol. 19, Iss. 5, pp. 2483-2496
Open Access | Times Cited: 16

Showing 16 citing articles:

High temporal resolution urban flood prediction using attention-based LSTM models
Lin Zhang, Huapeng Qin, Junqi Mao, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129499-129499
Closed Access | Times Cited: 27
GA-FCFNN: A new forecasting method combining feature selection methods and feedforward neural networks using genetic algorithms
Rongtao Zhang, Xueling Ma, Chao Zhang, et al.
Information Sciences (2024) Vol. 669, pp. 120566-120566
Closed Access | Times Cited: 9
A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism
Ying Nie, Ping Li, Jianzhou Wang, et al.
Applied Energy (2024) Vol. 366, pp. 123233-123233
Closed Access | Times Cited: 8
Day-ahead solar photovoltaic energy forecasting based on weather data using LSTM networks: a comparative study for photovoltaic (PV) panels in Turkey
Zeynep Garip, Ekin Ekıncı, Ali Alan
Electrical Engineering (2023) Vol. 105, Iss. 5, pp. 3329-3345
Closed Access | Times Cited: 12
MEMF: Multi-entity multimodal fusion framework for sales prediction in live streaming commerce
Guang Xu, Ming Ren, Zhenhua Wang, et al.
Decision Support Systems (2024) Vol. 184, pp. 114277-114277
Closed Access | Times Cited: 4
Efficient production optimization for naturally fractured reservoir using EDFM
Jianchun Xu, Wenxin Zhou, Hangyu Li
Petroleum Science (2023) Vol. 20, Iss. 4, pp. 2268-2281
Open Access | Times Cited: 9
A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development
Huang Jian, Qinyu Chen, Chengqing Yu
Sustainability (2022) Vol. 14, Iss. 19, pp. 12224-12224
Open Access | Times Cited: 15
Optimizing Sales Forecasting: Implementing a Deep Learning Model for Accurate and Timely Predictions
Muhammad Ehsan Rana, Tan Wei Yao, Vazeerudeen Abdul Hameed
(2023), pp. 214-219
Closed Access | Times Cited: 5
Short-Term Power Load Forecasting Based on DE-IHHO Optimized BiLSTM
Xuelei Liu, Ziqi Ma, H P Guo, et al.
IEEE Access (2024) Vol. 12, pp. 145341-145349
Open Access | Times Cited: 1
Future Sales Prediction Using Regression and Deep Learning Techniques
Uday Kulkarni, Apoorv Bagal, Sunil V. Gurlahosur, et al.
Lecture notes in electrical engineering (2024), pp. 435-451
Closed Access
Variable‐weight combined forecasting model with causal analysis and clustering for refined oil sales forecasting
Xiaofeng Xu, Wenzhi Liu, Lean Yu, et al.
Decision Sciences (2024)
Open Access
A Rapid Calculation Method for the Bubble Mass Transfer Process in Alkanolamine Solutions Based on Neural Network Models for Cfd
Sihong Cheng, Guoliang Li, Yali Tong, et al.
(2024)
Closed Access
A Study on the Daily Demand Forecasting of Hydrogen Charging Station Using LSTM Model
MINSU KIM, SUNGTAK JEON, TAEYOUNG JYUNG
Journal of Hydrogen and New Energy (2024) Vol. 35, Iss. 5, pp. 536-547
Open Access
Power Load Prediction Based on IGWO-BILSTM Network
Fenqin Wang, Zhaosu Liu
Mathematical Problems in Engineering (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 1
Deep Learning-Based Prediction of Subsurface Oil Reservoir Pressure Using Spatio-Temporal Data
Haibo Cheng, Yunpeng He, Peng Zeng, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2023), pp. 1-6
Closed Access | Times Cited: 1
Application of Deep Learning Method to Estimate Bottomhole Pressure Dynamics of Oil Wells
Haibo Cheng, Shichao Li, Peng Zeng, et al.
(2023), pp. 1-6
Closed Access
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