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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:

Survival Risk Prediction of Esophageal Cancer Based on Self-Organizing Maps Clustering and Support Vector Machine Ensembles
Junwei Sun, Yuli Yang, Yanfeng Wang, et al.
IEEE Access (2020) Vol. 8, pp. 131449-131460
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Machine Learning Models for Water Quality Prediction: A Comprehensive Analysis and Uncertainty Assessment in Mirpurkhas, Sindh, Pakistan
Farkhanda Abbas, Zhihua Cai, Muhammad Shoaib, et al.
Water (2024) Vol. 16, Iss. 7, pp. 941-941
Open Access | Times Cited: 20
Research on Medical Problems Based on Mathematical Models
Yikai Liu, Ruozheng Wu, Aimin Yang
Mathematics (2023) Vol. 11, Iss. 13, pp. 2842-2842
Open Access | Times Cited: 19
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques
Hari Mohan, Joon Yoo, Abdul Razaque
Expert Systems with Applications (2024) Vol. 255, pp. 124838-124838
Closed Access | Times Cited: 5
Self-adapting anti-surge intelligence control and numerical simulation of centrifugal compressors based on RBF neural network
San He, Mengyu Xie, Patioon Tontiwachwuthikul, et al.
Energy Reports (2022) Vol. 8, pp. 2434-2447
Open Access | Times Cited: 17
Development and validation of a deep learning model to predict survival of patients with esophageal cancer
Chen Huang, Yongmei Dai, Qianshun Chen, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13
Survival Prediction of Esophageal Squamous Cell Carcinoma Based on the Prognostic Index and Sparrow Search Algorithm-Support Vector Machine
Yanfeng Wang, Wenhao Zhang, Yuli Yang, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 7, pp. 598-609
Closed Access | Times Cited: 7
Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis
Alexa Woodward, Harsh Bandhey, Jason H. Moore, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 431-439
Closed Access | Times Cited: 2
Survival risk prediction model for ESCC based on relief feature selection and CNN
Yanfeng Wang, Chuan-Qian Zhu, Yan Wang, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105460-105460
Closed Access | Times Cited: 11
Integration of IDPC Clustering Analysis and Interpretable Machine Learning for Survival Risk Prediction of Patients with ESCC
Dan Ling, Anhao Liu, Junwei Sun, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 15, Iss. 3, pp. 480-498
Closed Access | Times Cited: 5
Survival Risk Prediction of Esophageal Cancer Based on the Kohonen Network Clustering Algorithm and Kernel Extreme Learning Machine
Yanfeng Wang, Haohao Wang, Sanyi Li, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1367-1367
Open Access | Times Cited: 9
Atom Search Optimization with the Deep Transfer Learning-Driven Esophageal Cancer Classification Model
Nawaf Alharbe, Raafat M. Munshi, Manal M. Khayyat, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 9
Machine Learning-Based Multimodel Computing for Medical Imaging for Classification and Detection of Alzheimer Disease
Fatemah Alghamedy, Muhammad Shafiq, Lijuan Liu, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 7
The Effects of CuO and SiO2 on Aluminum AA6061 Hybrid Nanocomposite as Reinforcements: A Concise Review
Muntadher Sabah Msebawi, Zulkiflle Leman, Shazarel Shamsudin, et al.
Coatings (2021) Vol. 11, Iss. 8, pp. 972-972
Open Access | Times Cited: 10
Identifying Cancer Disease Using Softmax-Feed Forward Recurrent Neural Classification
P. Saranya, P. Asha
Intelligent Automation & Soft Computing (2022) Vol. 36, Iss. 1, pp. 1137-1149
Open Access | Times Cited: 6
GGATB-LSTM: Grouping and Global Attention-based Time-aware Bidirectional LSTM Medical Treatment Behavior Prediction
Lin Cheng, Yuliang Shi, Kun Zhang, et al.
ACM Transactions on Knowledge Discovery from Data (2021) Vol. 15, Iss. 3, pp. 1-16
Closed Access | Times Cited: 7
Intelligent and novel multi-type cancer prediction model using optimized ensemble learning
S. Famitha, M. Moorthi
Computer Methods in Biomechanics & Biomedical Engineering (2022) Vol. 25, Iss. 16, pp. 1879-1903
Closed Access | Times Cited: 4
Production of Aluminum AA6061 Hybrid Nanocomposite from Waste Metal Using Hot Extrusion Process: Strength Performance and Prediction by RSM and Random Forest
Muntadher Sabah Msebawi, Zulkiflle Leman, Shazarel Shamsudin, et al.
Materials (2021) Vol. 14, Iss. 20, pp. 6102-6102
Open Access | Times Cited: 5
Development and Validation of the Predictive Model for Esophageal Squamous Cell Carcinoma Differentiation Degree
Yanfeng Wang, Yuli Yang, Junwei Sun, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 4
The Hidden-Layers Topology Analysis of Deep Learning Models in Survey for Forecasting and Generation of theWind Power and Photovoltaic Energy
Dandan Xu, Haijian Shao, Xing Deng, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 131, Iss. 2, pp. 567-597
Open Access | Times Cited: 3
“Integrated Hybrid Deep Learning Approach for Precise Blood Cancer Detection”
S Selvakumaran, C Poonguzhali, Elango Baskaran, et al.
(2024)
Closed Access
Prognostic prediction model for esophageal cancer based on probability membrane systems
Suxia Jiang, H. Li, Yanfeng Wang, et al.
Journal of Membrane Computing (2024)
Closed Access
Prediction of Survival in Patients With Esophageal Cancer After Immunotherapy Based on Small-Size Follow-Up Data
Yuhan Su, Chaofeng Huang, Yang Chen, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2024) Vol. 5, pp. 769-782
Open Access
A faster dynamic convergency approach for self-organizing maps
Akhtar Jamıl, Alaa Ali Hameed, Zeynep Orman
Complex & Intelligent Systems (2022) Vol. 9, Iss. 1, pp. 677-696
Open Access | Times Cited: 2
Prognostic Staging System for Esophageal Cancer Using Lasso, Cox and CS-SVM
Qing Liu, Wen-Hao Zhang, Junwei Sun, et al.
Communications in computer and information science (2022), pp. 317-329
Closed Access
The Predictive Model of Esophageal Squamous Cell Carcinoma Differentiation
Yuli Yang, Haoping Ji, Junwei Sun, et al.
Communications in computer and information science (2021), pp. 322-335
Closed Access
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