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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:

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luís C. Lamb, Artur S. d’Avila Garcez, Marco Gori, et al.
(2020), pp. 4877-4884
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model
Hanyao Huang, Ou Zheng, Dongdong Wang, et al.
International Journal of Oral Science (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 151
Neurosymbolic AI: the 3rd wave
Artur S. d’Avila Garcez, Luís C. Lamb
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12387-12406
Closed Access | Times Cited: 138
Deep reinforcement learning for transportation network combinatorial optimization: A survey
Qi Wang, Chunlei Tang
Knowledge-Based Systems (2021) Vol. 233, pp. 107526-107526
Closed Access | Times Cited: 100
An Overview on the Application of Graph Neural Networks in Wireless Networks
Shiwen He, Siying Xiong, Yeyu Ou, et al.
IEEE Open Journal of the Communications Society (2021) Vol. 2, pp. 2547-2565
Open Access | Times Cited: 80
Neural, symbolic and neural-symbolic reasoning on knowledge graphs
Jing Zhang, Bo Chen, Lingxi Zhang, et al.
AI Open (2021) Vol. 2, pp. 14-35
Open Access | Times Cited: 74
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yün Peng, Byron Choi, Jianliang Xu
Data Science and Engineering (2021) Vol. 6, Iss. 2, pp. 119-141
Open Access | Times Cited: 61
Neuro-symbolic approaches in artificial intelligence
Pascal Hitzler, Aaron Eberhart, Monireh Ebrahimi, et al.
National Science Review (2022) Vol. 9, Iss. 6
Open Access | Times Cited: 60
Complex Knowledge Base Question Answering: A Survey
Yunshi Lan, Gaole He, Jinhao Jiang, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 11, pp. 11196-11215
Open Access | Times Cited: 60
A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning
Eduardo F. Morales, Rafael Murrieta-Cid, Israel Becerra, et al.
Intelligent Service Robotics (2021) Vol. 14, Iss. 5, pp. 773-805
Closed Access | Times Cited: 56
Survey of Graph Neural Networks and Applications
Fan Liang, Cheng Qian, Wei Yu, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 39
Machine Unlearning: A Survey
Heng Xu, Tianqing Zhu, Lefeng Zhang, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 1, pp. 1-36
Open Access | Times Cited: 38
A survey on neural-symbolic learning systems
Dongran Yu, Bo Yang, Dayou Liu, et al.
Neural Networks (2023) Vol. 166, pp. 105-126
Open Access | Times Cited: 30
Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI
Zishen Wan, Che-Kai Liu, Hanchen Yang, et al.
(2024), pp. 268-279
Closed Access | Times Cited: 9
Geoscience-aware deep learning: A new paradigm for remote sensing
Yong Ge, Xining Zhang, Peter M. Atkinson, et al.
Science of Remote Sensing (2022) Vol. 5, pp. 100047-100047
Open Access | Times Cited: 35
Is neuro-symbolic AI meeting its promises in natural language processing? A structured review
Kyle Hamilton, Aparna Nayak, Bojan Božić, et al.
Semantic Web (2022) Vol. 15, Iss. 4, pp. 1265-1306
Open Access | Times Cited: 33
Toward human-level concept learning: Pattern benchmarking for AI algorithms
Andreas Holzinger, Anna Saranti, Alessa Angerschmid, et al.
Patterns (2023) Vol. 4, Iss. 8, pp. 100788-100788
Open Access | Times Cited: 22
A Comprehensive Survey on Distributed Training of Graph Neural Networks
Haiyang Lin, Mingyu Yan, Xiaochun Ye, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 12, pp. 1572-1606
Open Access | Times Cited: 20
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 6, pp. 1-35
Open Access | Times Cited: 8
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
Xin Liu, Mingyu Yan, Lei Deng, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 5521-5529
Open Access | Times Cited: 25
Fifty Years of Prolog and Beyond
Philipp Körner, Michaël Leuschel, João Barbosa, et al.
Theory and Practice of Logic Programming (2022) Vol. 22, Iss. 6, pp. 776-858
Open Access | Times Cited: 24
A Hereditary Attentive Template-based Approach for Complex Knowledge Base Question Answering Systems
Jorão Gomes, Rômulo Chrispim de Mello, Victor Ströele, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117725-117725
Open Access | Times Cited: 24
NeuPSL: Neural Probabilistic Soft Logic
Connor Pryor, Charles Dickens, Eriq Augustine, et al.
(2023), pp. 4145-4153
Open Access | Times Cited: 16
A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches
Edward Elson Kosasih, Emmanuel P. Papadakis, George Baryannis, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 4, pp. 1510-1540
Open Access | Times Cited: 16
Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits
Simon Ståhlberg, Blai Bonet, Héctor Geffner
Proceedings of the International Conference on Automated Planning and Scheduling (2022) Vol. 32, pp. 629-637
Open Access | Times Cited: 19
Neurosymbolic Reinforcement Learning and Planning: A Survey
K. Acharya, Waleed Raza, Carlos Mauricio Jaborandy de Mattos Dourado, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 5, pp. 1939-1953
Open Access | Times Cited: 12
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