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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 Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Genetic Disorders Using Various Gene Disorders
Neelam Chaplot, Dhiraj Pandey, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3301-3323
Closed Access | Times Cited: 25

Showing 25 citing articles:

A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases
Kavita Thakur, Manjot Kaur, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4477-4497
Open Access | Times Cited: 24
Leveraging AI for the Diagnosis and Treatment of Autism Spectrum Disorder: Current Trends and Future Prospects
Nitu L. Wankhede, Mayur B. Kale, Madhu Shukla, et al.
Asian Journal of Psychiatry (2024) Vol. 101, pp. 104241-104241
Closed Access | Times Cited: 13
A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Lifestyle Diseases
Krishna Modi, Ishbir Singh, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4733-4756
Closed Access | Times Cited: 18
An Analysis of Deep Transfer Learning-Based Approaches for Prediction and Prognosis of Multiple Respiratory Diseases Using Pulmonary Images
Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1023-1049
Closed Access | Times Cited: 17
An Analysis of Detection and Diagnosis of Different Classes of Skin Diseases Using Artificial Intelligence-Based Learning Approaches with Hyper Parameters
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1051-1078
Closed Access | Times Cited: 14
A Comprehensive Analysis of Deep Learning-Based Approaches for the Prediction of Gastrointestinal Diseases Using Multi-class Endoscopy Images
Priya Bhardwaj, Sanjeev Kumar, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4499-4516
Closed Access | Times Cited: 11
Application of machine learning approach on halal meat authentication principle, challenges, and prospects: A review
Abdul Raufu Mustapha, Iskandar Ishak, Nor Nadiha Mohd Zaki, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32189-e32189
Open Access | Times Cited: 4
Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics
Nicolás J. Garrido, Félix González-Martínez, Ana M. Torres, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 2, pp. 722-722
Open Access
A novel chemical property-based, alignment-free scalable feature extraction method for genomic data clustering
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110175-110175
Closed Access
Machine learning-driven task scheduling with dynamic K-means based clustering algorithm using fuzzy logic in FOG environment
Muhammad Saad Sheikh, Rabia Noor Enam, Rehan Qureshi
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 8
Develop machine learning-based model and automated process for predicting liquid heat capacity of organics at different temperatures
Yuqing Shan, Qingxing Wu, Hua Yuan, et al.
Fluid Phase Equilibria (2024) Vol. 584, pp. 114132-114132
Closed Access | Times Cited: 2
Machine‐Learning‐Driven G‐Quartet‐Based Circularly Polarized Luminescence Materials
Yankai Dai, Zhiwei Zhang, Dong Wang, et al.
Advanced Materials (2023) Vol. 36, Iss. 4
Closed Access | Times Cited: 6
Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence
Pablo Martínez-Blanco, Miguel Suárez, Sergio Gil-Rojas, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 406-406
Open Access | Times Cited: 1
A Comprehensive Analysis of Hypertension Disease Risk-Factors, Diagnostics, and Detections Using Deep Learning-Based Approaches
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 4, pp. 1939-1958
Closed Access | Times Cited: 3
Multiple Infectious Disease Diagnosis and Detection Using Advanced CNN Models
Kavita Thakur, Navneet Kaur Sandhu, Yogesh Kumar, et al.
Lecture notes in networks and systems (2024), pp. 45-58
Closed Access
Accurate Prediction of Bacterial Infections using Deep Learning-Based Approaches: A Recent Study and Progress
Jasdeep Singh, Ashish Oberoi, Yogesh Kumar
(2024), pp. 1-6
Closed Access
Antibacterial Activity of the Leaf Extract of Acalypha wilkesiana against some Human Bacterial Pathogens
Murtala Musa Mansur, Jibril Sani Mohammed, Daneil Jesuwenu Ajoose, et al.
UMYU Scientifica (2024) Vol. 3, Iss. 1, pp. 168-176
Open Access
Artificial intelligence-based learning techniques for accurate prediction and classification of colorectal cancer
Yogesh Kumar, Shapali Bansal, Ankush Jariyal, et al.
CRC Press eBooks (2024), pp. 114-119
Open Access
Climate change analysis on organic honey yield in Artvin via XGBoost machine learning
Ayça Nur ŞAHİN DEMİREL
Acta Agriculturae Scandinavica Section A – Animal Science (2024) Vol. 73, Iss. 3-4, pp. 192-202
Closed Access
Degree of Difference in Clinical Data and Imaging Based on Machine Learning and Complex Network
Guanqing Kong, Xiuxu Li, Chuanfu Wu, et al.
(2024), pp. 153-157
Closed Access
Collaborative Segmentation Model for Colonoscopy Ulcers based on Fuzzy Labeling*
Yanning Lin, Jie Chen, Z. F. Ding, et al.
2022 International Conference on Advanced Robotics and Mechatronics (ICARM) (2024), pp. 62-69
Closed Access
A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
Khoa D. Tran, Lam Pham, Nguyễn Văn Anh, et al.
Research Square (Research Square) (2024)
Open Access
Transformer networks and autoencoders in genomics and genetic data interpretation: A case study
Haseeb Ahmed Khan, Naiwrita Borah, Shaik Salma Begum, et al.
Elsevier eBooks (2024), pp. 399-423
Closed Access
Machine Learning based Approaches for Accurately Diagnosis and Detection of Hypertension Disease
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 169-173
Closed Access | Times Cited: 1
XBNet and Text Mining-based Genetic Diseases Classification
Dhafar Hamed, Mustafa Abdalrassual Jassim, Mohamed Nazih Omri, et al.
Research Square (Research Square) (2023)
Open Access
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