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:

Pancreatic Cancer Detection using Machine and Deep Learning Techniques
Anish Gupta, Apeksha Koul, Yogesh Kumar
2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) (2022), pp. 151-155
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Diagnostic ability of deep learning in detection of pancreatic tumour
M Dinesh, Nebojša Bačanin, Sameh Askar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 31

Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Service Oriented Computing and Applications (2024) Vol. 18, Iss. 2, pp. 163-182
Closed Access | Times Cited: 9

Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations’ COVID-19 Pandemic
Yogesh Kumar, Apeksha Koul, Sukhpreet Kaur, et al.
SN Computer Science (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 27

Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review
Komalpreet Kaur, Charanjit Singh, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3031-3058
Closed Access | Times Cited: 16

Computational Intelligence in Cancer Diagnostics: A Contemporary Review of Smart Phone Apps, Current Problems, and Future Research Potentials
Somit Jain, Dharmik Naicker, Ritu Raj, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1563-1563
Open 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

Artificial Intelligence for Remote Healthcare in Underserved Areas: Enhancing Access and Quality of Healthcare Delivery
Anish Gupta, Ruchika Gupta, Puneet Kumar
Communications in computer and information science (2025), pp. 122-138
Closed Access

A Comparative Study of Different Pre-Trained Deep Learning Models and Custom CNN for Pancreatic Tumor Detection
Muhammed Talha Zavalsiz, Sleiman Alhajj, Kashfia Sailunaz, et al.
The International Arab Journal of Information Technology (2023) Vol. 20, Iss. 3A
Open Access | Times Cited: 10

A Study on Bladder Cancer Detection using AI-based Learning Techniques
Apeksha Koul, Yogesh Kumar, Anish Gupta
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) (2022)
Closed Access | Times Cited: 15

Artificial Intelligence Techniques to Predict the Infectious Diseases: Open Challenges and Research Issues
Kavita Thakur, Manjot Kaur, Yogesh Kumar
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) (2022) Vol. 10, pp. 109-114
Closed Access | Times Cited: 8

Revolutionizing Metabolic Syndrome Detection and Classification with State-of-the-Art Machine Learning Techniques
Nandini Modi, Yogesh Kumar
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access | Times Cited: 1

Non Invasive Early Pancreatic Cancer Prediction with Gradient Boosting Algorithms Machine Learning Models with Clinical dataset collected from Urinary Biomarkers
B. Vasudevan, Revanth Krishna Senthilkumaran, K. Immanuel, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access | Times Cited: 1

Accurate Neoplasm Diagnosis with Comprehensive Machine Learning and Deep Learning Approaches
B. Ashreetha, Samavedam V S S Srinivasa Kumar, J. Srinivas, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1

A deep transfer learning based approaches for the detection and classification of acute lymphocytic leukemia using microscopic images
Ashish Kumar, Deepak Kumar, Jeril Kuriakose, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers
Abolfazl Akbari, Maryam Adabi, Mohsen Masoodi, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 1

Sparrow Search Algorithm With Stacked Deep Learning Based Medical Image Analysis for Pancreatic Cancer Detection and Classification
Janjhyam Venkata Naga Ramesh, T. Abirami, T. Gopalakrishnan, et al.
IEEE Access (2023) Vol. 11, pp. 111927-111935
Open Access | Times Cited: 3

An automated multi-classification of communicable diseases using ensemble learning for disease surveillance
Kavita Thakur, Navneet Kaur Sandhu, Yogesh Kumar, et al.
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 8, pp. 3737-3756
Closed Access

The Impactful Analysis of DL Algorithms Isolated Observing Support Models Design: A Systematic Review
Rakesh Kumar, Ajay Sharma, Chandan Roy, et al.
(2024), pp. 1037-1041
Closed Access

Pancreatic Cancer Diagnosis from CT Scan Images Using Machine Learning Methods
Arya Kashikar, Sudhanshu Maurya, Tirthak Likhar, et al.
(2024), pp. 1589-1595
Closed Access

Pancreatic Cancer Detection Through Hyperparameter Tuning and Ensemble Methods
Koteswaramma Dodda, G. Muneeswari
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 12
Open Access | Times Cited: 1

Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
(2023), pp. 374-378
Closed Access | Times Cited: 1

Automated Diagnosis and Detection of Blood Cancer Using Deep Learning-Based Approaches: A Recent Study and Challenges
Jaswinder Bir Singh, Vijay Luxmi
(2023), pp. 1187-1192
Closed Access | Times Cited: 1

Machine Learning-Based Diagnosis and Detection of Liver Cancer: An Approach Enhancement
Yogesh Kumar, Parneet Kaur, Jyoti Rani
(2023), pp. 1-6
Closed Access | Times Cited: 1

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