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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 concepts and its applications for prediction of diseases based on drug behaviour: An extensive review
Davinder Paul Singh, Baijnath Kaushik
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 229, pp. 104637-104637
Closed Access | Times Cited: 14

Showing 14 citing articles:

Developments in Image Processing Using Deep Learning and Reinforcement Learning
Jorge Valente, João António, Carlos León de Mora, et al.
Journal of Imaging (2023) Vol. 9, Iss. 10, pp. 207-207
Open Access | Times Cited: 40
Advancement of Smart Contract Administration in a Virtual Environment through Blockchain Technology and Optimization Tools
B. Sai Chandana, Hasan Hussain S, Ravi Kishore Veluri, et al.
SSRN Electronic Journal (2025)
Closed Access
CICADA (UCX): A Novel Approach for Automated Breast Cancer Classification through Aggressiveness Delineation
Davinder Paul Singh, Tathagat Banerjee, Prabhjot Kour, et al.
Computational Biology and Chemistry (2025) Vol. 115, pp. 108368-108368
Closed Access
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models
Alexander de P. Rodrigues, Aderval S. Luna, Licarion Pinto
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 240, pp. 104933-104933
Closed Access | Times Cited: 8
CTDN (Convolutional Temporal Based Deep‐ Neural Network): An Improvised Stacked Hybrid Computational Approach for Anticancer Drug Response Prediction
Davinder Paul Singh, Baijnath Kaushik
Computational Biology and Chemistry (2023) Vol. 105, pp. 107868-107868
Closed Access | Times Cited: 5
Machine Learning Techniques Using Deep Instinctive Encoder-Based Feature Extraction for Optimized Breast Cancer Detection
Vaishnawi Priyadarshni, Sanjay Kumar Sharma, Mohammad Khalid Imam Rahmani, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 2, pp. 2441-2468
Open Access | Times Cited: 1
Emerging Trends of Artificial Intelligence in Detecting Neurodegeneration
Davinder Paul Singh, Baijnath Kaushik, Yusera Farooq Khan, et al.
Lecture notes in networks and systems (2024), pp. 591-601
Closed Access | Times Cited: 1
A review of quantitative structure-activity relationship: the development and current status of data sets, molecular descriptors and mathematical models
Jianmin Li, Tian Zhao, Qin Yang, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105278-105278
Closed Access | Times Cited: 1
A low-cost machine learning framework for predicting drug–drug interactions based on fusion of multiple features and a parameter self-tuning strategy
Zexiao Liang, Canxin Lin, Guoliang Tan, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 7, pp. 6300-6315
Closed Access
An Investigation on Machine Learning Models in Classification and Identifications Cervical Cancer Using MRI Scan
Jagendra Singh, K. T. Tan, Dinesh Kumar Sahu, et al.
(2024), pp. 1-5
Closed Access
Developing Anticancer Drug Response System Using Deep Learning System with Hybrid Genomic and Chemical Features
Awais Raza Zaidi, Muhammad Bilal, Tuba Majid, et al.
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2024)
Closed Access
Explainable Artificial Intelligence-Based Disease Prediction with Symptoms Using Machine Learning Models
Gayatri Sanjana Sannala, K. V. G. Rohith, Aashutosh G. Vyas, et al.
Lecture notes in networks and systems (2023), pp. 523-538
Closed Access
Developments in Image Processing using Deep learning and Reinforcement learning
Sarla More, Durgesh Kumar Mishra
(2023), pp. 1-9
Closed Access
The Quality Evaluation of Academic Papers in Carbon Capture, Utilization, and Storage
Hangyue Zhang, Jie Bai
(2022) Vol. 42, pp. 96-100
Closed Access
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