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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:

Electric Load Forecasting Based on a Least Squares Support Vector Machine with Fuzzy Time Series and Global Harmony Search Algorithm
Yan Chen, Wei‐Chiang Hong, Wen Shen, et al.
Energies (2016) Vol. 9, Iss. 2, pp. 70-70
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models
Abdullah Al Mamun, Md. Sohel, Naeem Mohammad, et al.
IEEE Access (2020) Vol. 8, pp. 134911-134939
Open Access | Times Cited: 254
Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting
Jatin Bedi, Durga Toshniwal
IEEE Access (2018) Vol. 6, pp. 49144-49156
Open Access | Times Cited: 173
A Machine Learning-Based Gradient Boosting Regression Approach for Wind Power Production Forecasting: A Step towards Smart Grid Environments
Upma Singh, M. Rizwan, Muhannad Alaraj, et al.
Energies (2021) Vol. 14, Iss. 16, pp. 5196-5196
Open Access | Times Cited: 134
Prediction of the effects of climate change on hydroelectric generation, electricity demand, and emissions of greenhouse gases under climatic scenarios and optimized ANN model
Li-Na Guo, She Chen, Debin Kong, et al.
Energy Reports (2021) Vol. 7, pp. 5431-5445
Open Access | Times Cited: 105
Inception inspired CNN-GRU hybrid network for human activity recognition
Nidhi Dua, Shiva Nand Singh, Vijay Bhaskar Semwal, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 4, pp. 5369-5403
Closed Access | Times Cited: 91
Efficient Short-Term Electricity Load Forecasting for Effective Energy Management
Zulfiqar Ahmad Khan, Amin Ullah, Ijaz Ul Haq, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102337-102337
Closed Access | Times Cited: 77
Short-term electrical load forecasting using hybrid model of manta ray foraging optimization and support vector regression
Siwei Li, Xiangyu Kong, Yue Liang, et al.
Journal of Cleaner Production (2023) Vol. 388, pp. 135856-135856
Closed Access | Times Cited: 43
An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting
Jianzhou Wang, Pei Du, Haiyan Lu, et al.
Applied Soft Computing (2018) Vol. 72, pp. 321-337
Closed Access | Times Cited: 149
Multi-step ahead forecasting in electrical power system using a hybrid forecasting system
Pei Du, Jianzhou Wang, Wendong Yang, et al.
Renewable Energy (2018) Vol. 122, pp. 533-550
Closed Access | Times Cited: 140
Modeling of district load forecasting for distributed energy system
Weiwu Ma, Song Fang, Gang Liu, et al.
Applied Energy (2017) Vol. 204, pp. 181-205
Closed Access | Times Cited: 111
Real-Time Stochastic Optimization of Energy Storage Management Using Deep Learning-Based Forecasts for Residential PV Applications
Faeza Hafiz, M A Awal, Anderson Rodrigo de Queiroz, et al.
IEEE Transactions on Industry Applications (2020) Vol. 56, Iss. 3, pp. 2216-2226
Open Access | Times Cited: 91
Density-weighted support vector machines for binary class imbalance learning
Barenya Bikash Hazarika, Deepak Gupta
Neural Computing and Applications (2020) Vol. 33, Iss. 9, pp. 4243-4261
Closed Access | Times Cited: 87
A Novel Nonlinear Combined Forecasting System for Short-Term Load Forecasting
Tian Cheng-shi, Hao Yan
Energies (2018) Vol. 11, Iss. 4, pp. 712-712
Open Access | Times Cited: 61
Forecasting Chinese economic growth, energy consumption, and urbanization using two novel grey multivariable forecasting models
Changrong Wang, Yun Cao
Journal of Cleaner Production (2021) Vol. 299, pp. 126863-126863
Closed Access | Times Cited: 43
Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting
Wendong Yang, Jianzhou Wang, Rui Wang
Entropy (2017) Vol. 19, Iss. 2, pp. 52-52
Open Access | Times Cited: 49
A comparative study of statistical and soft computing techniques for reliability prediction of automotive manufacturing
Hamzeh Soltanali, Abbas Rohani, Mohammad Hossein Abbaspour‐Fard, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106738-106738
Closed Access | Times Cited: 44
SVR-DEA model of carbon tax pricing for China's thermal power industry
Yunfei An, Xueqi Zhai
The Science of The Total Environment (2020) Vol. 734, pp. 139438-139438
Closed Access | Times Cited: 42
Universities power energy management: A novel hybrid model based on iCEEMDAN and Bayesian optimized LSTM
Yaqing He, Kim Fung Tsang
Energy Reports (2021) Vol. 7, pp. 6473-6488
Open Access | Times Cited: 38
A Novel Hybrid Deep Learning Model for Sugar Price Forecasting Based on Time Series Decomposition
Jinlai Zhang, Yanmei Meng, Wei Jin, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 32
Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images
Ajay Sharma, Pramod Kumar Mishra
Multimedia Tools and Applications (2022) Vol. 81, Iss. 29, pp. 42649-42690
Open Access | Times Cited: 27
Automatic classification with concatenation of deep and handcrafted features of histological images for breast carcinoma diagnosis
Prabira Kumar Sethy, Santi Kumari Behera
Multimedia Tools and Applications (2022) Vol. 81, Iss. 7, pp. 9631-9643
Closed Access | Times Cited: 23
A univariate time series methodology based on sequence-to-sequence learning for short to midterm wind power production
Yıldırım Akbal, Kamil Demirberk Ünlü
Renewable Energy (2022) Vol. 200, pp. 832-844
Closed Access | Times Cited: 23
An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit
Shifei Ding, Zichen Zhang, Lili Guo, et al.
Information Sciences (2022) Vol. 598, pp. 101-125
Closed Access | Times Cited: 22
Machine-Learning-Based Human Motion Recognition via Wearable Plastic-Fiber Sensing System
Shuang Wang, Bin Liu, Yulin Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 20, pp. 17893-17904
Closed Access | Times Cited: 13
Mitigating concept drift challenges in evolving smart grids: An adaptive ensemble LSTM for enhanced load forecasting
Abdul Azeem, Idris Ismail, Syed Sheeraz Mohani, et al.
Energy Reports (2025) Vol. 13, pp. 1369-1383
Closed Access
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