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:
Neighborhood granules and rough rule-base in tracking
Debarati Bhunia Chakraborty, Sankar K. Pal
Natural Computing (2015) Vol. 15, Iss. 3, pp. 359-370
Closed Access | Times Cited: 7
Debarati Bhunia Chakraborty, Sankar K. Pal
Natural Computing (2015) Vol. 15, Iss. 3, pp. 359-370
Closed Access | Times Cited: 7
Showing 7 citing articles:
Deep learning in multi-object detection and tracking: state of the art
Sankar K. Pal, Anima Pramanik, J. Maiti, et al.
Applied Intelligence (2021) Vol. 51, Iss. 9, pp. 6400-6429
Closed Access | Times Cited: 204
Sankar K. Pal, Anima Pramanik, J. Maiti, et al.
Applied Intelligence (2021) Vol. 51, Iss. 9, pp. 6400-6429
Closed Access | Times Cited: 204
Granulated deep learning and Z-numbers in motion detection and object recognition
Sankar K. Pal, Debasmita Bhoumik, Debarati Bhunia Chakraborty
Neural Computing and Applications (2019) Vol. 32, Iss. 21, pp. 16533-16548
Closed Access | Times Cited: 34
Sankar K. Pal, Debasmita Bhoumik, Debarati Bhunia Chakraborty
Neural Computing and Applications (2019) Vol. 32, Iss. 21, pp. 16533-16548
Closed Access | Times Cited: 34
Granular Flow Graph, Adaptive Rule Generation and Tracking
Sankar K. Pal, Debarati Bhunia Chakraborty
IEEE Transactions on Cybernetics (2016) Vol. 47, Iss. 12, pp. 4096-4107
Closed Access | Times Cited: 19
Sankar K. Pal, Debarati Bhunia Chakraborty
IEEE Transactions on Cybernetics (2016) Vol. 47, Iss. 12, pp. 4096-4107
Closed Access | Times Cited: 19
A hybrid adaptive granular approach to Takagi–Sugeno–Kang fuzzy rule discovery
Alireza Bemani-N., Mohammad-R. Akbarzadeh-T
Applied Soft Computing (2019) Vol. 81, pp. 105491-105491
Closed Access | Times Cited: 8
Alireza Bemani-N., Mohammad-R. Akbarzadeh-T
Applied Soft Computing (2019) Vol. 81, pp. 105491-105491
Closed Access | Times Cited: 8
Granular Mining and Big Data Analytics: Rough Models and Challenges
Sankar K. Pal
Proceedings of the National Academy of Sciences India Section A Physical Sciences (2019) Vol. 90, Iss. 2, pp. 193-208
Closed Access | Times Cited: 7
Sankar K. Pal
Proceedings of the National Academy of Sciences India Section A Physical Sciences (2019) Vol. 90, Iss. 2, pp. 193-208
Closed Access | Times Cited: 7
Accelerating bioinspired lateral interaction in accumulative computation for real-time moving object detection with graphics processing units
José L. Sánchez, Marı́a Teresa López, J.M. Pastor, et al.
Natural Computing (2018) Vol. 18, Iss. 2, pp. 217-227
Closed Access | Times Cited: 2
José L. Sánchez, Marı́a Teresa López, J.M. Pastor, et al.
Natural Computing (2018) Vol. 18, Iss. 2, pp. 217-227
Closed Access | Times Cited: 2
Event prediction with rough-fuzzy sets
Debarati Bhunia Chakraborty, JingTao Yao
Pattern Analysis and Applications (2022) Vol. 26, Iss. 2, pp. 691-701
Closed Access | Times Cited: 1
Debarati Bhunia Chakraborty, JingTao Yao
Pattern Analysis and Applications (2022) Vol. 26, Iss. 2, pp. 691-701
Closed Access | Times Cited: 1
