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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:

Ultrasound-based differentiation of malignant and benign thyroid Nodules: An extreme learning machine approach
Jianfu Xia, Huiling Chen, Qiang Li, et al.
Computer Methods and Programs in Biomedicine (2017) Vol. 147, pp. 37-49
Closed Access | Times Cited: 195

Showing 1-25 of 195 citing articles:

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Yutao Yang, Huiling Chen, Ali Asghar Heidari, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114864-114864
Open Access | Times Cited: 882
Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study
Xiangchun Li, Sheng Zhang, Qiang Zhang, et al.
The Lancet Oncology (2018) Vol. 20, Iss. 2, pp. 193-201
Open Access | Times Cited: 357
Protein nanoparticles in drug delivery: animal protein, plant proteins and protein cages, albumin nanoparticles
Ehsan Kianfar
Journal of Nanobiotechnology (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 325
A review on extreme learning machine
Jian Wang, Siyuan Lu, Shuihua Wang‎, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 29, pp. 41611-41660
Open Access | Times Cited: 322
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique
Abeer Saber, Mohamed Sakr, Osama M. Abo-Seida, et al.
IEEE Access (2021) Vol. 9, pp. 71194-71209
Open Access | Times Cited: 292
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy
Zhennao Cai, Jianhua Gu, Jie Luo, et al.
Expert Systems with Applications (2019) Vol. 138, pp. 112814-112814
Closed Access | Times Cited: 220
Magnetic Nanoparticles in Targeted Drug Delivery: a Review
Ehsan Kianfar
Journal of Superconductivity and Novel Magnetism (2021) Vol. 34, Iss. 7, pp. 1709-1735
Closed Access | Times Cited: 187
Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
Aditya Khamparia, Deepak Gupta, Victor Hugo C. de Albuquerque, et al.
The Journal of Supercomputing (2020) Vol. 76, Iss. 11, pp. 8590-8608
Closed Access | Times Cited: 182
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Rana Muhammad Adnan, Reham R. Mostafa, Özgür Kişi, et al.
Knowledge-Based Systems (2021) Vol. 230, pp. 107379-107379
Closed Access | Times Cited: 168
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
Vivek Lahoura, Harpreet Singh, Ashutosh Aggarwal, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 241-241
Open Access | Times Cited: 157
Efficient boosted grey wolf optimizers for global search and kernel extreme learning machine training
Ali Asghar Heidari, Rahim Ali Abbaspour, Huiling Chen
Applied Soft Computing (2019) Vol. 81, pp. 105521-105521
Closed Access | Times Cited: 146
SGOA: annealing-behaved grasshopper optimizer for global tasks
Caiyang Yu, Mengxiang Chen, Kai Cheng, et al.
Engineering With Computers (2021) Vol. 38, Iss. S5, pp. 3761-3788
Closed Access | Times Cited: 132
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
Songwei Zhao, Pengjun Wang, Ali Asghar Heidari, et al.
Computers in Biology and Medicine (2021) Vol. 134, pp. 104427-104427
Closed Access | Times Cited: 111
AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
Yassine Habchi, Yassine Himeur, Hamza Kheddar, et al.
Systems (2023) Vol. 11, Iss. 10, pp. 519-519
Open Access | Times Cited: 46
Nanowires Properties and Applications: A Review Study
Chou‐Yi Hsu, Ahmed Mahdi Rheima, Zainab Sabri Abbas, et al.
South African Journal of Chemical Engineering (2023) Vol. 46, pp. 286-311
Open Access | Times Cited: 44
Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer
Wei Yan, Huijing Lv, Mengxiang Chen, et al.
IEEE Access (2020) Vol. 8, pp. 76841-76855
Open Access | Times Cited: 131
Machine Learning–Assisted System for Thyroid Nodule Diagnosis
Bin Zhang, Jie Tian, Shufang Pei, et al.
Thyroid (2019) Vol. 29, Iss. 6, pp. 858-867
Open Access | Times Cited: 105
Ultrasound Image-Based Diagnosis of Malignant Thyroid Nodule Using Artificial Intelligence
Dat Tien Nguyen, Jin Kyu Kang, Tuyen Danh Pham, et al.
Sensors (2020) Vol. 20, Iss. 7, pp. 1822-1822
Open Access | Times Cited: 96
Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Alireza Arabameri, Subodh Chandra Pal, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2021) Vol. 36, pp. 100848-100848
Open Access | Times Cited: 96
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation
Lei Liu, Dong Zhao, Fanhua Yu, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104609-104609
Open Access | Times Cited: 88
Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine
Wei Zhu, Chao Ma, Xuehua Zhao, et al.
IEEE Access (2020) Vol. 8, pp. 61107-61123
Open Access | Times Cited: 84
A review of gas sensors based on carbon nanomaterial
Indah Raya, Hamzah H. Kzar, Zaid Hameed Mahmoud, et al.
Carbon letters (2021) Vol. 32, Iss. 2, pp. 339-364
Closed Access | Times Cited: 84
Artificial Intelligence-Based Thyroid Nodule Classification Using Information from Spatial and Frequency Domains
Dat Tien Nguyen, Tuyen Danh Pham, Ganbayar Batchuluun, et al.
Journal of Clinical Medicine (2019) Vol. 8, Iss. 11, pp. 1976-1976
Open Access | Times Cited: 79
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm
Jianfu Xia, Daqing Yang, Hong Zhou, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105137-105137
Closed Access | Times Cited: 79
A Comparative Analysis of Two Machine Learning-Based Diagnostic Patterns with Thyroid Imaging Reporting and Data System for Thyroid Nodules: Diagnostic Performance and Unnecessary Biopsy Rate
Chong‐Ke Zhao, Tiantian Ren, Yifei Yin, et al.
Thyroid (2020) Vol. 31, Iss. 3, pp. 470-481
Closed Access | Times Cited: 77
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