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:

Semi-supervised learning with graph convolutional extreme learning machines
Zijia Zhang, Yaoming Cai, Wenyin Gong
Expert Systems with Applications (2022) Vol. 213, pp. 119164-119164
Closed Access | Times Cited: 24

Showing 24 citing articles:

Weakly-semi supervised extraction of rooftop photovoltaics from high-resolution images based on segment anything model and class activation map
Ruiqing Yang, Guojin He, Ranyu Yin, et al.
Applied Energy (2024) Vol. 361, pp. 122964-122964
Closed Access | Times Cited: 13
Research and application of a novel graph convolutional RVFL and evolutionary equilibrium optimizer algorithm considering spatial factors in ultra-short-term solar power prediction
Peng Tian, Shihao Song, Leiming Suo, et al.
Energy (2024) Vol. 308, pp. 132928-132928
Closed Access | Times Cited: 9
A scalable graph reinforcement learning algorithm based stochastic dynamic dispatch of power system under high penetration of renewable energy
Junbin Chen, Tao Yu, Zhenning Pan, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 152, pp. 109212-109212
Open Access | Times Cited: 18
Graph embedding approaches for social media sentiment analysis with model explanation
V. S. Anoop, C. Subin Krishna, Usharani Hareesh Govindarajan
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 1, pp. 100221-100221
Open Access | Times Cited: 5
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle, William Eberle
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 8, pp. 1-44
Open Access | Times Cited: 4
Harnessing Logic Heterograph Learning for Financial Operational Risks: A Perspective of Cluster and Thin-tailed Distributions
Guanyuan Yu, Boyu Han, Qing Li, et al.
Information Sciences (2025), pp. 121939-121939
Closed Access
Cost-sensitive multi-kernel ELM based on reduced expectation kernel auto-encoder
Yixuan Liang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0314851-e0314851
Open Access
A high-performance voting-based ensemble model of graph convolutional extreme learning machines for identifying geochemical anomalies related to mineralization
Jiaxing Chen, Yongliang Chen
Ore Geology Reviews (2023) Vol. 162, pp. 105706-105706
Open Access | Times Cited: 8
ELM parameter estimation in view of maximum likelihood
Lanzhen Yang, Eric C.C. Tsang, Xizhao Wang, et al.
Neurocomputing (2023) Vol. 557, pp. 126704-126704
Closed Access | Times Cited: 4
Processing and optimized learning for improved classification of categorical plant disease datasets
Ayushi Gupta, Anuradha Chug, Amit Prakash Singh
Intelligent Data Analysis (2024) Vol. 28, Iss. 6, pp. 1697-1721
Closed Access | Times Cited: 1
Graph-based semi-supervised learning with non-convex graph total variation regularization
Tiehong Wen, Zhong Chen, Tao Zhang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124709-124709
Closed Access | Times Cited: 1
Stochastic Dynamic Power Dispatch With Human Knowledge Transfer Using Graph-GAN Assisted Inverse Reinforcement Learning
Junbin Chen, Tao Yu, Zhenning Pan, et al.
IEEE Transactions on Smart Grid (2023) Vol. 15, Iss. 3, pp. 3303-3315
Closed Access | Times Cited: 3
Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding
Qinglang Guo, Yong Liao, Zhe Li, et al.
Entropy (2023) Vol. 25, Iss. 10, pp. 1472-1472
Open Access | Times Cited: 2
Root N Consistent Extremile Regression and its Supervised and Semi-Supervised Learning
Rong Jiang, Keming Yu
(2024)
Open Access
Unified structure-aware feature learning for graph convolutional network
Sujia Huang, Shunxin Xiao, Yuhong Chen, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124397-124397
Closed Access
Stock price prediction based on Weighted Meta-Extreme Learning Machine
Yanbing Song, Shaofei Zang, Jianwei Ma, et al.
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 1021-1026
Closed Access
Graph Semi-supervised Soft Sensor Modeling Based On Label Propagation Algorithm
Shiwei Gao, Tianzhen Li, Xiaohui Dong
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125104-125104
Closed Access
Joint-Average Mean and Variance Feature Matching (JAMVFM) Semi-supervised GAN with Additional-Objective Training Function for Intent Detection
Ankit Kumar, Munir Georges
Lecture notes in computer science (2024), pp. 275-287
Closed Access
Cost-sensitive ELM based on Reduced Expectation Kernel Auto-encoder
Yixuan Liang
(2024), pp. 206-212
Closed Access
Extreme Learning Machine Combining Hidden-Layer Feature Weighting and Batch Training for Classification
Chao Wu, Yu Sang, Yakun Gao
Neural Processing Letters (2023) Vol. 55, Iss. 8, pp. 10951-10973
Closed Access | Times Cited: 1
Figurative Health-mention Classification from Social Media using Graph Convolutional Networks
C. Subin Krishna, V. S. Anoop
(2023)
Closed Access | Times Cited: 1
Graph Convolutional Extreme Learning Machine Autoencoder for Graph Embedding
Xinyi Lin, Xiaoyun Chen, Lin Yan-Ming
(2023), pp. 777-782
Closed Access
An extreme learning machine algorithm for semi-supervised classification of unbalanced data streams with concept drift
Carlos A. S. da Silva, Renato A. Krohling
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 37549-37588
Closed Access
A Chaotic Crow Search Algorithm for Overlapping Clustering
Mostafa Sabzekar, Seyed Vahid Mousavainejad
(2023)
Closed Access
Page 1

Scroll to top