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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:

Multi-Modal Knowledge Graph Construction and Application: A Survey
Xiangru Zhu, Zhixu Li, Xiaodan Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 36, Iss. 2, pp. 715-735
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Hongbin Ye, Ningyu Zhang, Hui Chen, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 459
Multimodal Learning With Transformers: A Survey
Peng Xu, Xiatian Zhu, David A. Clifton
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 10, pp. 12113-12132
Open Access | Times Cited: 325
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Shirui Pan, Linhao Luo, Yufei Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3580-3599
Closed Access | Times Cited: 286
Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13071-13102
Open Access | Times Cited: 222
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Shirui Pan, Linhao Luo, Yufei Wang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 62
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal
Ke Liang, Lingyuan Meng, Meng Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9456-9478
Open Access | Times Cited: 47
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities
Yuqi Zhu, Xiaohan Wang, Jing Chen, et al.
World Wide Web (2024) Vol. 27, Iss. 5
Closed Access | Times Cited: 47
Knowledge Graphs: A Practical Review of the Research Landscape
Mayank Kejriwal
Information (2022) Vol. 13, Iss. 4, pp. 161-161
Open Access | Times Cited: 48
Evolving to multi-modal knowledge graphs for engineering design: state-of-the-art and future challenges
Xinyu Pan, Xinyu Li, Qi Li, et al.
Journal of Engineering Design (2024), pp. 1-40
Closed Access | Times Cited: 10
Construction of Knowledge Graphs: Current State and Challenges
Marvin Hofer, Daniel Obraczka, Alieh Saeedi, et al.
Information (2024) Vol. 15, Iss. 8, pp. 509-509
Open Access | Times Cited: 8
A Survey of Multi-modal Knowledge Graphs: Technologies and Trends
Wanying Liang, Pasquale De Meo, Yong Tang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 11, pp. 1-41
Open Access | Times Cited: 7
Generative Knowledge Graph Construction: A Review
Hongbin Ye, Ningyu Zhang, Hui Chen, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 30
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
Yu Zhao, Xiangrui Cai, Yike Wu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 28
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment
Qian Li, Shu Guo, Yangyifei Luo, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 17
Combining ChatGPT and knowledge graph for explainable machine learning-driven design: a case study
Xin Hu, Ang Liu, Yun Dai
Journal of Engineering Design (2024), pp. 1-23
Open Access | Times Cited: 5
Agricultural large language model for standardized production of distinctive agricultural products
Wenlong Yi, Li Zhang, С. А. Кузьмин, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110218-110218
Closed Access
Meta-knowledge triple driven multi-modal knowledge graph construction method and application in production line control with Gantt charts
Laiyi Li, Maolin Yang, Inno Lorren Désir Makanda, et al.
Journal of Manufacturing Systems (2025) Vol. 80, pp. 224-242
Closed Access
MMKDGAT: Multi-modal Knowledge graph-aware Deep Graph Attention Network for remote sensing image recommendation
Fei Wang, Xianzhang Zhu, Xin Cheng, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121278-121278
Closed Access | Times Cited: 15
A Survey on Multimodal Knowledge Graphs: Construction, Completion and Applications
Yong Chen, Xinkai Ge, Shengli Yang, et al.
Mathematics (2023) Vol. 11, Iss. 8, pp. 1815-1815
Open Access | Times Cited: 14
TIVA-KG: A Multimodal Knowledge Graph with Text, Image, Video and Audio
Xin Wang, Benyuan Meng, Hong Chen, et al.
(2023), pp. 2391-2399
Open Access | Times Cited: 13
Temporal multi-modal knowledge graph generation for link prediction
Yuandi Li, Hui Ji, Fei Yu, et al.
Neural Networks (2025) Vol. 185, pp. 107108-107108
Closed Access
M2KGRL: A semantic-matching based framework for multimodal knowledge graph representation learning
Tao Chen, Tiexin Wang, Huihui Zhang, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126388-126388
Closed Access
Beyond expression: Comprehensive visualization of knowledge triplet facts
Wei Liu, Yue He, Chao Wang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 3, pp. 104062-104062
Closed Access
ZS-MNET: A zero-shot learning based approach to multimodal named entity typing
Baohang Zhou, Ying Zhang, Kehui Song, et al.
Neural Networks (2025) Vol. 186, pp. 107264-107264
Closed Access
From screens to scenes: A survey of embodied AI in healthcare
Yihao Liu, Xu Cao, Tingting Chen, et al.
Information Fusion (2025), pp. 103033-103033
Closed Access
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