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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:

Comparative analysis of breast cancer detection using machine learning and biosensors
Yash Amethiya, Prince Pipariya, Shlok Patel, et al.
Intelligent Medicine (2021) Vol. 2, Iss. 2, pp. 69-81
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare
Pandiaraj Manickam, Siva Ananth Mariappan, Sindhu Monica Murugesan, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 562-562
Open Access | Times Cited: 364
Artificial Intelligence in Healthcare: Review, Ethics, Trust Challenges & Future Research Directions
Pranjal Kumar, Siddhartha Chauhan, Lalit Kumar Awasthi
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105894-105894
Closed Access | Times Cited: 116
Review—Systematic Review on Electrochemical Biosensing of Breast Cancer miRNAs to Develop Alternative DCIS Diagnostic Tool
Sundaram Sornambikai, Humayun Amir, G Bhuvaneshwari, et al.
ECS Sensors Plus (2022) Vol. 1, Iss. 2, pp. 021602-021602
Open Access | Times Cited: 58
A Comparative Study of Machine Learning Algorithms for Detecting Breast Cancer
Razib Hayat Khan, Jonayet Miah, Md Minhazur Rahman, et al.
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2023), pp. 647-652
Closed Access | Times Cited: 35
A Review on Electronic Health Record Text-Mining for Biomedical Name Entity Recognition in Healthcare Domain
Pir Noman Ahmad, Adnan Muhammad Shah, Kang Yoon Lee
Healthcare (2023) Vol. 11, Iss. 9, pp. 1268-1268
Open Access | Times Cited: 32
Biomarker-specific biosensors revolutionise breast cancer diagnosis
Mugip Rahaman Abdul Wahab, Thirunavukkarasu Palaniyandi, Sandhiya Viswanathan, et al.
Clinica Chimica Acta (2024) Vol. 555, pp. 117792-117792
Closed Access | Times Cited: 14
Progressive Approaches in Oncological Diagnosis and Surveillance: Real‐Time Impedance‐Based Techniques and Advanced Algorithms
Viswambari Devi Ramaswamy, Michael Keidar
Bioelectromagnetics (2025) Vol. 46, Iss. 1
Closed Access | Times Cited: 1
Breast cancer detection using machine learning approaches: a comparative study
Muawia A. Elsadig, Abdelrahman Altigani, Huwaida T. Elshoush
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 1, pp. 736-736
Open Access | Times Cited: 29
Advancing Healthcare: Synergizing Biosensors and Machine Learning for Early Cancer Diagnosis
Mahtab Kokabi, Muhammad Nabeel Tahir, Darshan Singh, et al.
Biosensors (2023) Vol. 13, Iss. 9, pp. 884-884
Open Access | Times Cited: 22
Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis
Mowafaq Salem Alzboon, Sami Qawasmeh, Muhyeeddin Alqaraleh, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 22
Machine learning approach to surface plasmon resonance bio-chemical sensor based on nanocarbon allotropes for formalin detection in water
Gufranullah Ansari, Amrindra Pal, Alok Kumar Srivastava, et al.
Sensing and Bio-Sensing Research (2023) Vol. 42, pp. 100605-100605
Open Access | Times Cited: 22
Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2093-2093
Open Access | Times Cited: 21
Detecting Cutout Shape and Predicting Its Location in Sandwich Structures Using Free Vibration Analysis and Tuned Machine-Learning Algorithms
Ufuk Demircioğlu, Asaf Sayil, Halit Bakır
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 2, pp. 1611-1624
Closed Access | Times Cited: 20
A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Design and Optimization of Refractive Index Biosensor for MDA-MB-231 and MCF-7 Breast Cancer Biomarker Detection
Trupti Kamani, Shobhit K. Patel, Osamah Alsalman, et al.
Physica Scripta (2024) Vol. 99, Iss. 10, pp. 105541-105541
Open Access | Times Cited: 8
Multiplex electrochemical sensing platforms for the detection of breast cancer biomarkers
Connor O’Brien, Chun Keat Khor, Sina Ardalan, et al.
Frontiers in Medical Technology (2024) Vol. 6
Open Access | Times Cited: 7
Review—Machine Learning-Driven Advances in Electrochemical Sensing: A Horizon Scan
K. Bala Murugan, K. Gopalakrishnan, Sakthivel Kogularasu, et al.
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 9, pp. 097503-097503
Open Access | Times Cited: 7
XAI-RACapsNet: Relevance aware capsule network-based breast cancer detection using mammography images via explainability O-net ROI segmentation
Ahmad Alhussen, Mohd Anul Haq, Arfat Ahmad Khan, et al.
Expert Systems with Applications (2024), pp. 125461-125461
Closed Access | Times Cited: 7
Usefulness of machine learning and deep learning approaches in screening and early detection of breast cancer
Mohsen Ghorbian, ‪Saeid Ghorbian
Heliyon (2023) Vol. 9, Iss. 12, pp. e22427-e22427
Open Access | Times Cited: 16
A highly sensitive multi-channel SPR-PCF based biosensor with deep learning prediction approach
Shubho Chowdhury, Lway Faisal Abdulrazak, Sumaiya Akhtar Mitu, et al.
Alexandria Engineering Journal (2023) Vol. 77, pp. 189-203
Open Access | Times Cited: 15
A Systematic Review of Breast Cancer Detection Using Machine Learning and Deep Learning
Amit Kumar, Rashmi Saini, Rajeev Kumar
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1128-1133
Closed Access | Times Cited: 13
Performance Analysis of Averaged Perceptron Machine Learning Classifier for Breast Cancer Detection
Vijay Birchha, Bhawna Nigam
Procedia Computer Science (2023) Vol. 218, pp. 2181-2190
Open Access | Times Cited: 12
Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks
Ahsan Rafiq, Alexander Chursin, Wejdan Awad Alrefaei, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1700-1700
Open Access | Times Cited: 11
Leveraging electrochemical sensors to improve efficiency of cancer detection
Li Fu, Hassan Karimi‐Maleh
World Journal of Clinical Oncology (2024) Vol. 15, Iss. 3, pp. 360-366
Open Access | Times Cited: 4
Gold Nanobiosensors: Pioneering Breakthroughs in Precision Breast Cancer Detection
Soheil Sadr, Ashkan Hajjafari, Abbas Rahdar, et al.
European Journal of Medicinal Chemistry Reports (2024), pp. 100238-100238
Open Access | Times Cited: 4
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