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:

Crowd Density Estimation Using Fusion of Multi-Layer Features
Xinghao Ding, Fujin He, Zhi-Rui Lin, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 8, pp. 4776-4787
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss
Qian Wang, Toby P. Breckon
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 9, pp. 15233-15243
Open Access | Times Cited: 76

MJPNet-S*: Multistyle Joint-Perception Network With Knowledge Distillation for Drone RGB-Thermal Crowd Density Estimation in Smart Cities
Wujie Zhou, Xun Yang, Xiena Dong, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 20327-20339
Closed Access | Times Cited: 8

Context Attention Fusion Network for crowd counting
Tao Wang, Ting Zhang, Kaibing Zhang, et al.
Knowledge-Based Systems (2023) Vol. 271, pp. 110541-110541
Closed Access | Times Cited: 20

Object detection and crowd analysis using deep learning techniques: Comprehensive review and future directions
B. Ganga, Lata B.T., Venugopal K.R.
Neurocomputing (2024) Vol. 597, pp. 127932-127932
Closed Access | Times Cited: 6

RGB-D Crowd Counting With Cross-Modal Cycle-Attention Fusion and Fine-Coarse Supervision
He Li, Shihui Zhang, Weihang Kong
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 1, pp. 306-316
Closed Access | Times Cited: 27

Y-BGD: Broiler counting based on multi-object tracking
Ximing Li, Zeyong Zhao, Jingyi Wu, et al.
Computers and Electronics in Agriculture (2022) Vol. 202, pp. 107347-107347
Closed Access | Times Cited: 27

Integrating Explainable Artificial Intelligence with Advanced Deep Learning Model for Crowd Density Estimation in Real-world Surveillance Systems
Sultan Alotaibi, Hanan Abdullah Mengash, Mohammed Maray, et al.
IEEE Access (2025) Vol. 13, pp. 20750-20762
Open Access

A comprehensive survey of crowd density estimation and counting
M.-H. Wang, Xin Zhou, Yuanyuan Chen
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access

Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey
Xianzhi Li, Yu Qiao, Bander Alzahrani, et al.
IEEE Access (2021) Vol. 9, pp. 47069-47083
Open Access | Times Cited: 31

A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal
Haoyue Bai, Jiageng Mao, S.-H. Gary Chan
Neurocomputing (2022) Vol. 508, pp. 1-18
Open Access | Times Cited: 19

Deep learning in crowd counting: A survey
Lijia Deng, Qinghua Zhou, Shuihua Wang‎, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 9, Iss. 5, pp. 1043-1077
Open Access | Times Cited: 12

A MaskFormer EfficientNet instance segmentation approach for crowd counting
Silky Goel, Deepika Koundal
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Deep Transfer Learning Enabled Intelligent Object Detection for Crowd Density Analysis on Video Surveillance Systems
Fadwa Alrowais, Saud S. Alotaibi, Fahd N. Al‐Wesabi, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6665-6665
Open Access | Times Cited: 18

Frequency Feature Pyramid Network With Global-Local Consistency Loss for Crowd-and-Vehicle Counting in Congested Scenes
Xiaoyuan Yu, Yanyan Liang, Xuxin Lin, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 7, pp. 9654-9664
Closed Access | Times Cited: 17

MC3Net: Multimodality Cross-Guided Compensation Coordination Network for RGB-T Crowd Counting
Wujie Zhou, Xun Yang, Jingsheng Lei, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 5, pp. 4156-4165
Closed Access | Times Cited: 10

Advances and Trends in Real Time Visual Crowd Analysis
Khalil Khan, Waleed Albattah, Rehan Ullah Khan, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5073-5073
Open Access | Times Cited: 26

CountMeIn: Adaptive Crowd Estimation with Wi-Fi in Smart Cities
Gürkan Solmaz, Pankaj Baranwal, Flavio Cirillo
(2022), pp. 187-196
Open Access | Times Cited: 15

CLRNet: A Cross Locality Relation Network for Crowd Counting in Videos
Dong Li, Haijun Zhang, Jianghong Ma, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6408-6422
Closed Access | Times Cited: 15

Learning a deep network with cross-hierarchy aggregation for crowd counting
Qiang Guo, Xin Zeng, Shizhe Hu, et al.
Knowledge-Based Systems (2020) Vol. 213, pp. 106691-106691
Closed Access | Times Cited: 21

Vehicle object counting network based on feature pyramid split attention mechanism
Mingsheng Liu, Yu Wang, Yi Hu, et al.
The Visual Computer (2023) Vol. 40, Iss. 2, pp. 663-680
Closed Access | Times Cited: 7

Toward Accurate Crowd Counting in Large Surveillance Areas Based on Passive WiFi Sensing
Lifei Hao, Baoqi Huang, Bing Jia, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 14086-14096
Closed Access | Times Cited: 7

On the Fine-Grained Crowd Analysis via Passive WiFi Sensing
Lifei Hao, Baoqi Huang, Bing Jia, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 6, pp. 6697-6711
Open Access | Times Cited: 7

Open Dataset for Predicting Pilgrim Activities for Crowd Management During Hajj Using Wearable Sensors
Ali M. Al‐Shaery, Soha Ahmed, Hamad Al Jassmi, et al.
IEEE Access (2024) Vol. 12, pp. 72828-72846
Open Access | Times Cited: 2

Visual Prompt Multi-Branch Fusion Network for RGB-Thermal Crowd Counting
Baoyang Mu, Feng Shao, Zhengxuan Xie, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31758-31775
Closed Access | Times Cited: 2

Hierarchical pyramid attentive network with spatial separable convolution for crowd counting
Shihui Zhang, Xiaoxiao Zhang, He Li, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 108, pp. 104563-104563
Closed Access | Times Cited: 16

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