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:
Predicting outcome of matches using pressure index: evidence from Twenty20 cricket
Dibyojyoti Bhattacharjee, Priyanka Talukdar
Communications in Statistics - Simulation and Computation (2019) Vol. 49, Iss. 11, pp. 3028-3040
Closed Access | Times Cited: 7
Dibyojyoti Bhattacharjee, Priyanka Talukdar
Communications in Statistics - Simulation and Computation (2019) Vol. 49, Iss. 11, pp. 3028-3040
Closed Access | Times Cited: 7
Showing 7 citing articles:
Using Support Vector Regression Kernel Models for Cricket Performance Prediction in the Womens Premier League 2024
Ponnusamy Yoga Lakshmi, Swamynathan Sanjaykumar, D. Maniazhagu, et al.
Physical Education Theory and Methodology (2024) Vol. 24, Iss. 1, pp. 72-78
Open Access | Times Cited: 1
Ponnusamy Yoga Lakshmi, Swamynathan Sanjaykumar, D. Maniazhagu, et al.
Physical Education Theory and Methodology (2024) Vol. 24, Iss. 1, pp. 72-78
Open Access | Times Cited: 1
Cricket performance predictions: a comparative analysis of machine learning models for predicting cricket player’s performance in the One Day International (ODI) world cup 2023
Swamynathan Sanjaykumar, Karthikeyan Udaichi, Gowtham Rajendiran, et al.
Health sport rehabilitation (2024) Vol. 10, Iss. 1, pp. 6-19
Open Access | Times Cited: 1
Swamynathan Sanjaykumar, Karthikeyan Udaichi, Gowtham Rajendiran, et al.
Health sport rehabilitation (2024) Vol. 10, Iss. 1, pp. 6-19
Open Access | Times Cited: 1
Prediction of IPL matches using Machine Learning while tackling ambiguity in results
Ayush Tripathi
Indian Journal of Science and Technology (2020) Vol. 13, Iss. 38, pp. 4013-4035
Open Access | Times Cited: 7
Ayush Tripathi
Indian Journal of Science and Technology (2020) Vol. 13, Iss. 38, pp. 4013-4035
Open Access | Times Cited: 7
WINNER PREDICTION IN ONE DAY INTERNATIONAL CRICKET MATCHES USING MACHINE LEARNING FRAMEWORK: AN ENSEMBLE APPROACH
Manoj Ishi, Jayantrao Patil, Nitin N. Patil, et al.
Indian Journal of Computer Science and Engineering (2022) Vol. 13, Iss. 3, pp. 628-641
Open Access | Times Cited: 3
Manoj Ishi, Jayantrao Patil, Nitin N. Patil, et al.
Indian Journal of Computer Science and Engineering (2022) Vol. 13, Iss. 3, pp. 628-641
Open Access | Times Cited: 3
Predicting Team Success in the Indian Premier League Cricket 2024 Season Using Random Forest Analysis
Swamynathan Sanjaykumar, Subhashree Natarajan, Ponnusamy Yoga Lakshmi, et al.
Physical Education Theory and Methodology (2024) Vol. 24, Iss. 2, pp. 304-309
Open Access
Swamynathan Sanjaykumar, Subhashree Natarajan, Ponnusamy Yoga Lakshmi, et al.
Physical Education Theory and Methodology (2024) Vol. 24, Iss. 2, pp. 304-309
Open Access
Calculating expected win percentage of an Indian Premier League team
Aaron B. Hoskins
International Journal of Sports Science & Coaching (2023) Vol. 19, Iss. 1, pp. 379-389
Closed Access
Aaron B. Hoskins
International Journal of Sports Science & Coaching (2023) Vol. 19, Iss. 1, pp. 379-389
Closed Access
CAMP: A context-aware cricket players performance metric
Muhammad Sohaib Ayub, Naimat Ullah, Sarwan Ali, et al.
Journal of the Operational Research Society (2023) Vol. 75, Iss. 6, pp. 1140-1156
Open Access
Muhammad Sohaib Ayub, Naimat Ullah, Sarwan Ali, et al.
Journal of the Operational Research Society (2023) Vol. 75, Iss. 6, pp. 1140-1156
Open Access
