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:

Knowledge graph refinement: A survey of approaches and evaluation methods
Heiko Paulheim
Semantic Web (2016) Vol. 8, Iss. 3, pp. 489-508
Closed Access | Times Cited: 1079

Showing 1-25 of 1079 citing articles:

Knowledge Graph Embedding: A Survey of Approaches and Applications
Quan Wang, Zhendong Mao, Bin Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2017) Vol. 29, Iss. 12, pp. 2724-2743
Closed Access | Times Cited: 2292

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
Shaoxiong Ji, Shirui Pan, Erik Cambria, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 2, pp. 494-514
Open Access | Times Cited: 1841

Knowledge Graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 4, pp. 1-37
Open Access | Times Cited: 852

A review: Knowledge reasoning over knowledge graph
Xiaojun Chen, Shengbin Jia, Yang Xiang
Expert Systems with Applications (2019) Vol. 141, pp. 112948-112948
Closed Access | Times Cited: 750

A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3549-3568
Open Access | Times Cited: 588

Knowledge Graph Embedding for Link Prediction
Andrea Rossi, Denilson Barbosa, Donatella Firmani, et al.
ACM Transactions on Knowledge Discovery from Data (2021) Vol. 15, Iss. 2, pp. 1-49
Open Access | Times Cited: 355

Industry-scale knowledge graphs
Natasha Noy, Yuqing Gao, Anshu Jain, et al.
Communications of the ACM (2019) Vol. 62, Iss. 8, pp. 36-43
Open Access | Times Cited: 314

Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management
Chao Fan, Cheng Zhang, Alex Yahja, et al.
International Journal of Information Management (2019) Vol. 56, pp. 102049-102049
Open Access | Times Cited: 307

Domain-specific knowledge graphs: A survey
Bilal Abu-Salih
Journal of Network and Computer Applications (2021) Vol. 185, pp. 103076-103076
Open Access | Times Cited: 261

From Machine Learning to Explainable AI
Andreas Holzinger
(2018), pp. 55-66
Closed Access | Times Cited: 253

Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications
David Wagg, Keith Worden, R. J. Barthorpe, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2020) Vol. 6, Iss. 3
Open Access | Times Cited: 242

Industry-scale Knowledge Graphs: Lessons and Challenges
Natasha Noy, Yuqing Gao, Anshu Jain, et al.
Queue (2019) Vol. 17, Iss. 2, pp. 48-75
Open Access | Times Cited: 212

KnowEdu: A System to Construct Knowledge Graph for Education
Penghe Chen, Yu Lu, Vincent W. Zheng, et al.
IEEE Access (2018) Vol. 6, pp. 31553-31563
Open Access | Times Cited: 198

Integrating Machine Learning with Human Knowledge
Changyu Deng, Xunbi A. Ji, Colton Rainey, et al.
iScience (2020) Vol. 23, Iss. 11, pp. 101656-101656
Open Access | Times Cited: 195

Constructing knowledge graphs and their biomedical applications
David N. Nicholson, Casey S. Greene
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 1414-1428
Open Access | Times Cited: 185

Knowledge graphs as tools for explainable machine learning: A survey
Ilaria Tiddi, Stefan Schlobach
Artificial Intelligence (2021) Vol. 302, pp. 103627-103627
Open Access | Times Cited: 184

RDF2Vec: RDF graph embeddings and their applications
Petar Ristoski, Jessica Rosati, Tommaso Di Noia, et al.
Semantic Web (2018) Vol. 10, Iss. 4, pp. 721-752
Open Access | Times Cited: 170

Introduction: What Is a Knowledge Graph?
Dieter Fensel, Umutcan Şimşek, Kevin Angele, et al.
Springer eBooks (2020), pp. 1-10
Closed Access | Times Cited: 157

Dataset search: a survey
Adriane Chapman, Elena Simperl, Laura Koesten, et al.
The VLDB Journal (2019) Vol. 29, Iss. 1, pp. 251-272
Open Access | Times Cited: 152

Intelligent financial fraud detection practices in post-pandemic era
Xiaoqian Zhu, Xiang Ao, Zidi Qin, et al.
The Innovation (2021) Vol. 2, Iss. 4, pp. 100176-100176
Open Access | Times Cited: 120

Deep learning for fake news detection: A comprehensive survey
Linmei Hu, Siqi Wei, Ziwang Zhao, et al.
AI Open (2022) Vol. 3, pp. 133-155
Open Access | Times Cited: 97

Knowledge Graph Quality Management: a Comprehensive Survey
Bingcong Xue, Lei Zou
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 71

A comprehensive overview of knowledge graph completion
Tong Shen, Fu Zhang, Jingwei Cheng
Knowledge-Based Systems (2022) Vol. 255, pp. 109597-109597
Closed Access | Times Cited: 70

A Comprehensive Survey on Automatic Knowledge Graph Construction
Lingfeng Zhong, Jia Wu, Qian Li, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-62
Open Access | Times Cited: 66

A review on risk assessment methods for maritime transport
Xi Huang, Yuanqiao Wen, Fan Zhang, et al.
Ocean Engineering (2023) Vol. 279, pp. 114577-114577
Closed Access | Times Cited: 58

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