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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:

Multimodal deep representation learning for video classification
Haiman Tian, Yudong Tao, Samira Pouyanfar, et al.
World Wide Web (2018) Vol. 22, Iss. 3, pp. 1325-1341
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
Abhishek Gupta, Alagan Anpalagan, Ling Guan, et al.
Array (2021) Vol. 10, pp. 100057-100057
Open Access | Times Cited: 395
Multimodal Classification: Current Landscape, Taxonomy and Future Directions
William C. Sleeman, Rishabh Kapoor, Preetam Ghosh
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-31
Open Access | Times Cited: 74
Deep learning-based late fusion of multimodal information for emotion classification of music video
Yagya Raj Pandeya, Joonwhoan Lee
Multimedia Tools and Applications (2020) Vol. 80, Iss. 2, pp. 2887-2905
Open Access | Times Cited: 129
A systematic review of prediction methods for emergency management
Di Huang, Shuaian Wang, Zhiyuan Liu
International Journal of Disaster Risk Reduction (2021) Vol. 62, pp. 102412-102412
Open Access | Times Cited: 90
A comprehensive survey on optimizing deep learning models by metaheuristics
Bahriye Akay, Derviş Karaboğa, Rüştü Akay
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 829-894
Closed Access | Times Cited: 80
PMR: Prototypical Modal Rebalance for Multimodal Learning
Yunfeng Fan, Wenchao Xu, Haozhao Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 20029-20038
Open Access | Times Cited: 28
SP-ASDNet: CNN-LSTM Based ASD Classification Model using Observer ScanPaths
Yudong Tao, Mei‐Ling Shyu
(2019), pp. 641-646
Closed Access | Times Cited: 57
SkeletonNet: A Hybrid Network With a Skeleton-Embedding Process for Multi-View Image Representation Learning
Shijie Yang, Liang Li, Shuhui Wang, et al.
IEEE Transactions on Multimedia (2019) Vol. 21, Iss. 11, pp. 2916-2929
Closed Access | Times Cited: 56
Rapid Assessment of Disaster Impacts on Highways Using Social Media
Yudi Chen, Qi Wang, Wenying Ji
Journal of Management in Engineering (2020) Vol. 36, Iss. 5
Closed Access | Times Cited: 54
Deep unsupervised multi-modal fusion network for detecting driver distraction
Yuxin Zhang, Yiqiang Chen, Chenlong Gao
Neurocomputing (2020) Vol. 421, pp. 26-38
Closed Access | Times Cited: 51
A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok
Lanyu Shang, Ziyi Kou, Yang Zhang, et al.
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 899-908
Closed Access | Times Cited: 45
‘Small Data’ for big insights in ecology
Lindsay Todman, Alex Bush, Amelia S. C. Hood
Trends in Ecology & Evolution (2023) Vol. 38, Iss. 7, pp. 615-622
Open Access | Times Cited: 20
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning
Shicai Wei, Chunbo Luo, Yang Luo
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 31, pp. 20039-20049
Open Access | Times Cited: 17
Controllable Data Generation by Deep Learning: A Review
Shi-Yu Wang, Yuanqi Du, Xiaojie Guo, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-38
Open Access | Times Cited: 5
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
Paul Baltescu, Haoyu Chen, Nikil Pancha, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 2703-2711
Open Access | Times Cited: 21
Evolutionary Programming Based Deep Learning Feature Selection and Network Construction for Visual Data Classification
Haiman Tian, Shu‐Ching Chen, Mei‐Ling Shyu
Information Systems Frontiers (2020) Vol. 22, Iss. 5, pp. 1053-1066
Closed Access | Times Cited: 30
Lipschitz Continuity Guided Knowledge Distillation
Yuzhang Shang, Bin Duan, Ziliang Zong, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 24
Modality-specific Learning Rates for Effective Multimodal Additive Late-fusion
Yiqun Yao, Rada Mihalcea
Findings of the Association for Computational Linguistics: ACL 2022 (2022), pp. 1824-1834
Open Access | Times Cited: 14
Deep Multimodal Sequence Fusion by Regularized Expressive Representation Distillation
Xiaobao Guo, Adams Wai‐Kin Kong, Alex C. Kot
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 2085-2096
Closed Access | Times Cited: 13
Robust Multimodal Learning via Representation Decoupling
Shicai Wei, Yang Luo, Yuji Wang, et al.
Lecture notes in computer science (2024), pp. 38-54
Closed Access | Times Cited: 2
Deep Learning Inspired Object Consolidation Approaches Using LiDAR Data for Autonomous Driving: A Review
M. S. Mekala, Woongkyu Park, Gaurav Dhiman, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 5, pp. 2579-2599
Closed Access | Times Cited: 16
A Survey of Data Representation for Multi-Modality Event Detection and Evolution
Kejing Xiao, Zhaopeng Qian, Biao Qin
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2204-2204
Open Access | Times Cited: 11
A Multi-label Multimodal Deep Learning Framework for Imbalanced Data Classification
Samira Pouyanfar, Tianyi Wang, Shu‐Ching Chen
2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) (2019), pp. 199-204
Closed Access | Times Cited: 17
Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms
Haiman Tian, Samira Pouyanfar, Jonathan H. Chen, et al.
(2018), pp. 444-451
Closed Access | Times Cited: 17
A Power Efficient Neural Network Implementation on Heterogeneous FPGA and GPU Devices
Yuexuan Tu, Saad Sadiq, Yudong Tao, et al.
(2019)
Closed Access | Times Cited: 14
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