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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:

Analysis of Oral Cancer Prediction using Features Selection with Machine Learning
Fatihah Mohd, Noor Maizura Mohamad Noor, Zainab Abu Bakar, et al.
(2015), pp. 383-388
Open Access | Times Cited: 23

Showing 23 citing articles:

Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning
Atta Rahman, Abdullah Alqahtani, Nahier Aldhafferi, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3833-3833
Open Access | Times Cited: 85
An Explainable Deep Learning Approach for Oral Cancer Detection
P. Ashok Babu, Anjani Kumar, Janjhyam Venkata Naga Ramesh, et al.
Journal of Electrical Engineering and Technology (2023)
Closed Access | Times Cited: 42
Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network
Navarun Das, Elima Hussain, Lipi B. Mahanta
Neural Networks (2020) Vol. 128, pp. 47-60
Closed Access | Times Cited: 134
Role of Artificial Intelligence in the Early Diagnosis of Oral Cancer. A Scoping Review
María García-Pola, Eduardo Pons-Fuster, Carlota Suárez-Fernández, et al.
Cancers (2021) Vol. 13, Iss. 18, pp. 4600-4600
Open Access | Times Cited: 85
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Vaibhav Rupapara, Furqan Rustam, Wajdi Aljedaani, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
Deep convolutional neural networks information fusion and improved whale optimization algorithm based smart oral squamous cell carcinoma classification framework using histopathological images
Momina Meer, Muhammad Attique Khan, Kiran Jabeen, et al.
Expert Systems (2024) Vol. 42, Iss. 1
Closed Access | Times Cited: 7
Automated oral squamous cell carcinoma identification using shape, texture and color features of whole image strips
Tabassum Yesmin Rahman, Lipi B. Mahanta, Anup Das, et al.
Tissue and Cell (2019) Vol. 63, pp. 101322-101322
Closed Access | Times Cited: 74
An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector Machine
J. Manikandan, Sterlin Rani Devakadacham, M. Shanthalakshmi, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 1252-1257
Closed Access | Times Cited: 15
Oral Cancer Detection Using Deep Learning Approach
Ram Kumar Yadav, Priyanka Anup Ujjainkar, Rahul Moriwal
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2023), pp. 1-7
Closed Access | Times Cited: 9
Artificial intelligence based assessment and application of imaging techniques for early diagnosis in oral cancers
Nadimul Hoda, Aastha Moza, Akshay A. Byadgi, et al.
International Surgery Journal (2024) Vol. 11, Iss. 2, pp. 318-322
Open Access | Times Cited: 3
Detection of Oral Cavity Squamous Cell Carcinoma from Normal Epithelium of the Oral Cavity using Microscopic Images
Chiagoziem C. Ukwuoma, Qin Zhi-guang, Md Belal Bin Heyat, et al.
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2022), pp. 29-36
Closed Access | Times Cited: 9
Benchmark of feature selection techniques with machine learning algorithms for cancer datasets
Munirah Mohd Yusof, Rozlini Mohamed, Noorhaniza Wahid
(2016), pp. 1-5
Closed Access | Times Cited: 10
Multistage classification of oral histopathological images using improved residual network
Santisudha Panigrahi, Ruchi Bhuyan, K. P. Sanal Kumar, et al.
Mathematical Biosciences & Engineering (2021) Vol. 19, Iss. 2, pp. 1909-1925
Open Access | Times Cited: 10
Automated Oral Cancer Detection using Deep Learning-based Technique
Mohd. Abdul Muqeet, Ali Baig Mohammad, P. Gopi Krishna, et al.
2022 8th International Conference on Signal Processing and Communication (ICSC) (2022), pp. 294-297
Closed Access | Times Cited: 4
Automated Detection of Early Oral Cancer Trends in Habitual Smokers
Susmita Dey, D. N. Tibarewala, Santi P. Maity, et al.
Elsevier eBooks (2018), pp. 83-107
Closed Access | Times Cited: 4
Customized Transfer Learning Models for Oral Squamous Cell Carcinoma Classification and Detection using Histopathological H&E Stained Images
S. Ramya, R. I. Minu, KT Magesh
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access
A Review on Application of Machine Learning and Deep Learning Algorithms in Head and Neck Cancer Prediction and Prognosis
Deepti, Susmita Ray
Lecture notes on data engineering and communications technologies (2021), pp. 59-73
Closed Access | Times Cited: 4
The Effectiveness of Feature Extraction and Machine Learning based approach for Early Detection of Oral Cancer
Alka Kumari, Ashok Mehta
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Blood Cancer Detection and Classification using Auto Encoder and Regularized Extreme Learning Machine
N. Kanimozhi, Swikruti Nayak, Keshav Kumar K, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2023), pp. 1122-1127
Closed Access | Times Cited: 1
Empowering Healthcare with Deep Learning for Oral Cancer Prevention
K Akshitha, Ashwini Kodipalli, Trupthi Rao
(2023), pp. 1-6
Closed Access | Times Cited: 1
A Predictive Model for Early Detection of Oral Cancer via Adaboost Classification Technique
K. Padmavathi, C. Deepa
International Journal For Multidisciplinary Research (2023) Vol. 5, Iss. 4
Open Access
An Empirical Analysis of S-CNN based Oral Tongue Squamous Cell Carcinoma
Veeranna S. Hombalimath, S. Subha, K. Kartheeban, et al.
(2023), pp. 1560-1565
Closed Access
Integrating Two Deep Learning Models to Identify Gene Signatures in Head and Neck Cancer from Multi‐Omics Data
Suparna Saha, Sumanta Ray, Sanghamitra Bandyopadhyay
(2022), pp. 67-81
Closed Access
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