Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

GrCS: Granular Computing-Based Crowd Segmentation
Ven Jyn Kok, Chee Seng Chan
IEEE Transactions on Cybernetics (2016) Vol. 47, Iss. 5, pp. 1157-1168
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance
Junyu Gao, Yuan Yuan, Qi Wang
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 10, pp. 4822-4833
Open Access | Times Cited: 75
Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey
Xuguang Zhang, Qinan Yu, Hui Yu
IEEE Access (2018) Vol. 6, pp. 66816-66830
Open Access | Times Cited: 70
Audio–visual representation learning for anomaly events detection in crowds
Junyu Gao, Hao Yang, Maoguo Gong, et al.
Neurocomputing (2024) Vol. 582, pp. 127489-127489
Open Access | Times Cited: 5
A hybrid social influence model for pedestrian motion segmentation
Habib Ullah, Mohib Ullah, Muhammad Uzair
Neural Computing and Applications (2018) Vol. 31, Iss. 11, pp. 7317-7333
Closed Access | Times Cited: 52
Granular Data Aggregation: An Adaptive Principle of the Justifiable Granularity Approach
Dan Wang, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics (2018) Vol. 49, Iss. 2, pp. 417-426
Closed Access | Times Cited: 51
Adversarial Learning for Multiscale Crowd Counting Under Complex Scenes
Yuan Zhou, Jianxing Yang, Hongru Li, et al.
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 11, pp. 5423-5432
Closed Access | Times Cited: 39
Attribute-Driven Granular Model for EMG-Based Pinch and Fingertip Force Grand Recognition
Yinfeng Fang, Dalin Zhou, Kairu Li, et al.
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 2, pp. 789-800
Open Access | Times Cited: 36
A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation
Bin Wang, Xiuying Yuan, Xinbo Gao, et al.
IEEE Transactions on Cybernetics (2018) Vol. 49, Iss. 5, pp. 1558-1569
Closed Access | Times Cited: 24
Density-Aware Curriculum Learning for Crowd Counting
Qi Wang, Wei Lin, Junyu Gao, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 6, pp. 4675-4687
Closed Access | Times Cited: 21
Enhancements of rule-based models through refinements of Fuzzy C-Means
E Hanyu, Ye Cui, Witold Pedrycz, et al.
Knowledge-Based Systems (2019) Vol. 170, pp. 43-60
Closed Access | Times Cited: 20
Multimedia datasets for anomaly detection: a review
Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 56785-56835
Closed Access | Times Cited: 6
A Multi-Species Artificial Bee Colony Algorithm and Its Application for Crowd Simulation
Shouna Wang, Hong Liu, Kaizhou Gao, et al.
IEEE Access (2018) Vol. 7, pp. 2549-2558
Open Access | Times Cited: 17
Quantitative analysis for image segmentation by granular computing clustering from the view of set
Hongbing Liu, Xiaoyu Diao, Huaping Guo
Journal of Algorithms & Computational Technology (2019) Vol. 13
Open Access | Times Cited: 11
Algebraic approaches to granular computing
Hua Mao, Mengjun Hu, Yiyu Yao
Granular Computing (2019) Vol. 6, Iss. 1, pp. 119-131
Closed Access | Times Cited: 11
Dynamic granularity selection based on local weighted accuracy and local likelihood ratio
Leijun Li, Mei-Zheng Li, Ju‐Sheng Mi, et al.
Applied Soft Computing (2020) Vol. 89, pp. 106087-106087
Closed Access | Times Cited: 9
Dense crowd counting based on adaptive scene division
Ying Yu, Huilin Zhu, Lewei Wang, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 12, Iss. 4, pp. 931-942
Closed Access | Times Cited: 9
Granular-based dense crowd density estimation
Ven Jyn Kok, Chee Seng Chan
Multimedia Tools and Applications (2017) Vol. 77, Iss. 15, pp. 20227-20246
Closed Access | Times Cited: 6
Audio-visual Representation Learning for Anomaly Events Detection in Crowds
Junyu Gao, Maoguo Gong, Xuelong Li
arXiv (Cornell University) (2021)
Open Access | Times Cited: 5
Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance
Junyu Gao, Yuan Yuan, Qi Wang
arXiv (Cornell University) (2019)
Open Access | Times Cited: 4
A knowledge-based automated driving approach for flexible production of individualized sheet metal parts
Christoph Hartmann, Daniel Opritescu, Wolfram Volk, et al.
Knowledge-Based Systems (2022) Vol. 244, pp. 108558-108558
Closed Access | Times Cited: 3
Coherent group detection in still image
Nurul Japar, Ven Jyn Kok, Chee Seng Chan
Multimedia Tools and Applications (2021) Vol. 80, Iss. 14, pp. 22007-22026
Closed Access | Times Cited: 4
Progressive Knowledge-Embedded Unified Perceptual Parsing for Scene Understanding
Wenbo Zheng, Lan Yan, Fei‐Yue Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2021), pp. 1633-1642
Closed Access | Times Cited: 4
Recent Granular Computing Implementations and its Feasibility in Cybersecurity Domain
Marek Pawlicki, Michał Choraś, Rafał Kozik
Proceedings of the 17th International Conference on Availability, Reliability and Security (2018), pp. 1-6
Closed Access | Times Cited: 3
Coherent Crowd Analysis in Still Image
Nurul Japar, Chee Seng Chan, Ven Jyn Kok
(2019) Vol. 34, pp. 1-6
Closed Access | Times Cited: 3
Audio-visual multi-modality driven hybrid feature learning model for crowd analysis and classification
H. Y. Swathi, G. Shivakumar
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 7, pp. 12529-12561
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top