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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:

FedMultimodal: A Benchmark for Multimodal Federated Learning
Tiantian Feng, Digbalay Bose, Tuo Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4035-4045
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Multimodal Federated Learning: A Survey
Liwei Che, Jiaqi Wang, Yao Zhou, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6986-6986
Open Access | Times Cited: 35
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 287-292
Open Access | Times Cited: 5
Controlling update distance and enhancing fair trainable prototypes in federated learning under data and model heterogeneity
Kangning Yin, Zhen Ding, Xinhui Ji, et al.
Defence Technology (2025)
Open Access
Informative task classification with concatenated embeddings using deep learning on crisisMMD
Tripti Jain, Dinesh Gopalani, Yogesh Kumar Meena
International Journal of Computers and Applications (2025), pp. 1-18
Closed Access
EPFLU: Efficient Peer-to-Peer Federated Learning for Personalized User Models in Edge-Cloud Environments
X. Song, Zhaoyan Wang, KyeongDeok Baek, et al.
Communications in computer and information science (2025), pp. 3-17
Closed Access
Modal-Centric Insights Into Multimodal Federated Learning for Smart Healthcare: A Survey
Di Wang, Wenjian Liu, Longxiang Gao, et al.
Lecture notes in computer science (2025), pp. 145-160
Closed Access
Self-attention fusion and adaptive continual updating for Multimodal federated learning with heterogeneous data
Kangning Yin, Zhen Ding, Xinhui Ji, et al.
Neural Networks (2025) Vol. 187, pp. 107345-107345
Closed Access
Federated Learning in Computer Vision
Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh
IEEE Access (2023) Vol. 11, pp. 94863-94884
Open Access | Times Cited: 13
Multimodal Federated Learning: A Survey
Liwei Che, Jiaqi Wang, Yao Zhou, et al.
(2023)
Open Access | Times Cited: 7
A survey of multimodal federated learning: background, applications, and perspectives
Hao Pan, Xiaoli Zhao, Lipeng He, et al.
Multimedia Systems (2024) Vol. 30, Iss. 4
Closed Access | Times Cited: 2
Hybrid Federated Learning for Multimodal IoT Systems
Yuanzhe Peng, Yusen Wu, Jieming Bian, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34055-34064
Closed Access | Times Cited: 2
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning
Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, et al.
Neural Networks (2024) Vol. 183, pp. 107017-107017
Open Access | Times Cited: 2
PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models
Tiantian Feng, Shrikanth Narayanan
(2023)
Open Access | Times Cited: 5
Decentralized and Distributed Learning for AIoT: A Comprehensive Review, Emerging Challenges, and Opportunities
Hanyue Xu, Kah Phooi Seng, Li-Minn Ang, et al.
IEEE Access (2024) Vol. 12, pp. 101016-101052
Open Access | Times Cited: 1
Artificial Intelligence of Things: A Survey
Md Shakhrul Iman Siam, Hyunho Ahn, Li Liu, et al.
ACM Transactions on Sensor Networks (2024)
Open Access | Times Cited: 1
A novel multi-modal Federated Learning based thermal-aware job scheduling framework
Rameesha Rehman, Saif Ur Rehman Malik, Sumaira Qureshi, et al.
Computer Networks (2024), pp. 110879-110879
Closed Access | Times Cited: 1
PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models
Tiantian Feng, Shrikanth Narayanan
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data
Min Tan, Yinfu Feng, Lingqiang Chu, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 5807-5822
Closed Access | Times Cited: 2
Personalized Multimodal Federated Learning for Fingerprint and Finger Vein Recognition
Hengyu Mu, Jian Guo, Xingli Liu, et al.
Lecture notes in computer science (2024), pp. 365-376
Closed Access
Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration
Bingjie Yan, Qian Chen, Yiqiang Chen, et al.
(2024), pp. 2775-2785
Closed Access
Towards Multi-modal Transformers in Federated Learning
G. X. Sun, Matías Mendieta, Aritra Dutta, et al.
Lecture notes in computer science (2024), pp. 229-246
Closed Access
FedBlocks: federated learning and blockchainbased privacy-preserved pioneering framework for IoT healthcare using IPFS in web 3.0 era
Ravindrakumar Purohit, J. P. Verma, Rachna Jain, et al.
Cluster Computing (2024) Vol. 28, Iss. 2
Closed Access
Multimodal Federated Learning in AIoT Systems: Existing Solutions, Applications, and Challenges
Christos Anagnostopoulos, Αλέξανδρος Γκίλλας, Christos Mavrokefalidis, et al.
IEEE Access (2024) Vol. 12, pp. 180864-180902
Open Access
Cross-Modal Meta Consensus for Heterogeneous Federated Learning
Shuai Li, Fan Qi, Zixin Zhang, et al.
(2024), pp. 975-984
Closed Access
A Heterogeneous Federated Learning Method Based on Dual Teachers Knowledge Distillation
Siyuan Wu, Hao Tian, Weiran Zhang, et al.
Lecture notes in computer science (2024), pp. 192-207
Closed Access
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