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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:

A New Artificial Intelligence Approach Using Extreme Learning Machine as the Potentially Effective Model to Predict and Analyze the Diagnosis of Anemia
Dimas Chaerul Ekty Saputra, Khamron Sunat, Tri Ratnaningsih
Healthcare (2023) Vol. 11, Iss. 5, pp. 697-697
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Artificial Intelligence-Assisted Diagnostic Cytology and Genomic Testing for Hematologic Disorders
Lealem Gedefaw, Chia-Fei Liu, Rosalina K. L. Ip, et al.
Cells (2023) Vol. 12, Iss. 13, pp. 1755-1755
Open Access | Times Cited: 27
BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification
Muhammad Sami Ullah, Muhammad Attique Khan, Nouf Abdullah Almujally, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images
Justice Williams Asare, William Leslie Brown-Acquaye, Martin Mabeifam Ujakpa, et al.
Informatics in Medicine Unlocked (2024) Vol. 45, pp. 101451-101451
Open Access | Times Cited: 7
Iron deficiency anemia detection using machine learning models: A comparative study of fingernails, palm and conjunctiva of the eye images
Justice Williams Asare, Peter Appiahene, Emmanuel Timmy Donkoh, et al.
Engineering Reports (2023) Vol. 5, Iss. 11
Open Access | Times Cited: 18
Detection of anaemia using medical images: A comparative study of machine learning algorithms – A systematic literature review
Justice Williams Asare, Peter Appiahene, Emmanuel Timmy Donkoh
Informatics in Medicine Unlocked (2023) Vol. 40, pp. 101283-101283
Open Access | Times Cited: 16
Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes
B S Darshan, Niranjana Sampathila, G. Muralidhar Bairy, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
GENETİK ALGORİTMA TEMELLİ ÖZNİTELİK SEÇİMİNİN ANEMİ HASTALIĞININ TESPİTİNE ETKİSİ
Mehtap Öklü, Hasan Badem
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 28, Iss. 1, pp. 309-321
Open Access
A Harmful Disorder: Predictive and Comparative Analysis for fetal Anemia Disease by Using Different Machine Learning Approaches
Mahadi Hasan, Mst. Sazia Tahosin, Afia Farjana, et al.
(2023)
Closed Access | Times Cited: 14
Classification and Explanation of Iron Deficiency Anemia from Complete Blood Count Data Using Machine Learning
Siddartha Pullakhandam, Susan McRoy
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 661-672
Open Access | Times Cited: 4
Diagnosis and screening of abnormal hemoglobins
Ali Sani, Muhammad Idrees Khan, Shah Saud, et al.
Clinica Chimica Acta (2023) Vol. 552, pp. 117685-117685
Closed Access | Times Cited: 11
Optimizing Predictive Performance: Hyperparameter Tuning in Stacked Multi-Kernel Support Vector Machine Random Forest Models for Diabetes Identification
Dimas Chaerul Ekty Saputra, Alfian Ma’arif, Khamron Sunat
Journal of Robotics and Control (JRC) (2024) Vol. 4, Iss. 6, pp. 896-904
Open Access | Times Cited: 3
Application of ensemble models approach in anemia detection using images of the palpable palm
Peter Appiahene, Samuel Segun Dzifa Dogbe, Emmanuel Edem Yaw Kobina, et al.
Medicine in Novel Technology and Devices (2023) Vol. 20, pp. 100269-100269
Open Access | Times Cited: 9
The Clinical Researcher Journey in the Artificial Intelligence Era: The PAC-MAN’s Challenge
Elena Bignami, Alessandro Vittori, Roberto Lanza, et al.
Healthcare (2023) Vol. 11, Iss. 7, pp. 975-975
Open Access | Times Cited: 8
Diagnosing iron deficiency: Controversies and novel metrics
Jody Rusch, Diederick J van der Westhuizen, Robert S. Gill, et al.
Best Practice & Research Clinical Anaesthesiology (2023) Vol. 37, Iss. 4, pp. 451-467
Open Access | Times Cited: 8
An Enhanced Extreme Learning Machine Based on Square-Root Lasso Method
Murat Genç
Neural Processing Letters (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 2
Laboratory tests for investigating anemia: From an expert system to artificial intelligence
Philippe Halfon, Guillaume Pénaranda, Dan Ringwald, et al.
Practical Laboratory Medicine (2024) Vol. 39, pp. e00357-e00357
Open Access | Times Cited: 2
Anemia detection and classification from blood samples using data analysis and deep learning*
Nilesh Bhaskarrao Bahadure, Ramdas Khomane, Aditya Shekhar Nittala
Automatika (2024) Vol. 65, Iss. 3, pp. 1163-1176
Open Access | Times Cited: 2
Multidisciplinary approaches to study anaemia with special mention on aplastic anaemia (Review)
Divya Sankar, Iyyappan Oviya
International Journal of Molecular Medicine (2024) Vol. 54, Iss. 5
Open Access | Times Cited: 2
Detection of anemic condition in patients from clinical markers and explainable artificial intelligence
B S Darshan, Niranjana Sampathila, Muralidhar G. Bairy, et al.
Technology and Health Care (2024) Vol. 32, Iss. 4, pp. 2431-2444
Closed Access | Times Cited: 1
Towards thalassemia detection using optoelectronic measurements assisted with machine-learning algorithms: a non-invasive, pain-free and blood - free approach towards diagnostics
Binu M. Nair, Chinmai Mysorekar, Rajat Srivastava, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
Artificial Intelligence Trends and Tools for Improving Women’s Health
Shivangi Mishra, A. Sandhya Rani, Vipin Pal
Journal of Women’s Health Care and Management (2024) Vol. 5, Iss. 2
Open Access | Times Cited: 1
Assessment of iron status
Ann Von Holle
Current Opinion in Clinical Nutrition & Metabolic Care (2024) Vol. 27, Iss. 5, pp. 397-401
Closed Access | Times Cited: 1
Machine Learning-Based Prediction of Thalassemia: A Review
Dawlat Abdulkarim, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 3
Open Access | Times Cited: 1
Analysis of the Machine Learning Methods Effectiveness for Morphological Classification of Anemia
Indira Uvaliyeva, Saule Belginova, David Borozenets
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2023), pp. 1-5
Closed Access | Times Cited: 2
Machine-learning based stacked ensemble model for accurate multi classification of CBC Anemia
Asmaa Mohamed El-Boghdady, Sherif Kishk, Mohamed M Ashour, et al.
مجلة کلية دار العلوم (2023) Vol. 49, Iss. 3
Open Access | Times Cited: 2
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