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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:

Machine learning model for diagnostic method prediction in parasitic disease using clinical information
You Won Lee, Jae Woo Choi, Eun‐Hee Shin
Expert Systems with Applications (2021) Vol. 185, pp. 115658-115658
Open Access | Times Cited: 19

Showing 19 citing articles:

Machine learning models for estimating above ground biomass of fast growing trees
Warakhom Wongchai, Thossaporn Onsree, Natthida Sukkam, et al.
Expert Systems with Applications (2022) Vol. 199, pp. 117186-117186
Closed Access | Times Cited: 22
Parasitic egg recognition using convolution and attention network
Nouar AlDahoul, Hezerul Abdul Karim, Mhd Adel Momo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Epidemiology and risk factors of Clonorchis sinensis infection in the mountainous areas of Longsheng County, Guangxi: insights from automated machine learning
Xiaowen Li, Yu Chen, Guoyang Huang, et al.
Parasitology Research (2025) Vol. 124, Iss. 3
Open Access
From Theory to Practice of Multidimensional Big Data Analytics over Big Healthcare Data: A Real-Life Case Study
Alfredo Cuzzocrea, Abderraouf Hafsaoui, Carmine Gallo
Lecture notes in computer science (2025), pp. 156-171
Closed Access
Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study
Jiang Li, Zhuoying Tan, Naigen Tan, et al.
Land (2025) Vol. 14, Iss. 4, pp. 678-678
Open Access
Machine learning models for predicting hospitalization and mortality risks of COVID-19 patients
Wallace Duarte de Holanda, Lenardo Chaves e Silva, Álvaro Sobrinho
Expert Systems with Applications (2023) Vol. 240, pp. 122670-122670
Closed Access | Times Cited: 8
Investigation of occupant window opening behaviour during the summer period in a Beijing maternity hospital
Baolian Niu, Dan Li, Haowei Yu, et al.
Journal of Building Engineering (2021) Vol. 45, pp. 103441-103441
Closed Access | Times Cited: 18
GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinuses
Omid Hamidi, Mahlagha Afrasiabi, M. S. S. El Namaki
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Development of a Machine Learning Model for the Classification of Enterobius vermicularis Egg
Natthanai Chaibutr, Pongphan Pongpanitanont, Sakhone Laymanivong, et al.
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 212-212
Open Access | Times Cited: 1
On removing conflicts for machine learning
Sergio Ledesma, Mario-Alberto Ibarra-Manzano, Dora-Luz Almanza-Ojeda, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117835-117835
Closed Access | Times Cited: 4
AI-based Diagnostic Tool for Liver Disease using Machine Learning Algorithms
Rex Paolo C. Gamara, Antipas T. Teologo, Romano Q. Neyra, et al.
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (2022), pp. 1-6
Closed Access | Times Cited: 4
Machine learning-based discrimination of unipolar depression and bipolar disorder with streamlined shortlist in adolescents of different ages
Yang Wang, Cheng Huang, Pingping Li, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109107-109107
Closed Access
Investigation on the Abilities of Artificial Intelligence Methods to Accommodate Bias in Medical Diagnostic Data
F. Jordan Srour, Alaa Balaghi
(2024)
Closed Access
Classification System of Malaria Disease with Hu Moment Invariant and Support Vector Machines
Yessi Jusman, Pikriansah, Yudhi Ardiyanto, et al.
(2022), pp. 365-368
Closed Access | Times Cited: 2
Deteksi Infeksi Mycoplasma Pneumoniae Pneumonia Menggunakan Komparasi Algoritma Klasifikasi Machine Learning
Ilham Akhyar Firdaus
JOINTECS (Journal of Information Technology and Computer Science) (2022) Vol. 7, Iss. 1, pp. 35-35
Open Access | Times Cited: 1
Machine learning iterative filtering algorithm for field defect detection in the process stage
Young-Hwan Choi, Jeongsam Yang
Computers in Industry (2022) Vol. 142, pp. 103740-103740
Closed Access | Times Cited: 1
Prediction of Drug Demand Based on Deep Learning Approach and Classification Model
Musli Yanto, Syafri Arlis, Muhammad Reza Putra, et al.
International Journal on Advanced Science Engineering and Information Technology (2023) Vol. 13, Iss. 1, pp. 357-357
Open Access
Who Gets the Flu? Individualized Validation of Influenza-like Illness in Urban Spaces
Shiran Zhong, Fenglong Ma, Jing Gao, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 10, pp. 5865-5865
Open Access
A Framework on Combining the Symptoms With Dissimilar Features to Predict Multiple Diseases Using Machine Learning Algorithms
Sasanko Sekhar Gantayat, Chaitanya Suru
Research Square (Research Square) (2023)
Open Access
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