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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:

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations
Gonzalo Nápoles, José L. Salmerón, Wojciech Froelich, et al.
Smart innovation, systems and technologies (2019), pp. 77-87
Closed Access | Times Cited: 25

Showing 25 citing articles:

On the interpretability of Fuzzy Cognitive Maps
Gonzalo Nápoles, Nevena Ranković, Yamisleydi Salgueiro
Knowledge-Based Systems (2023) Vol. 281, pp. 111078-111078
Open Access | Times Cited: 18
Information flow-based fuzzy cognitive maps with enhanced interpretability
Marios Tyrovolas, X. San Liang, Chrysostomos Stylios
Granular Computing (2023) Vol. 8, Iss. 6, pp. 2021-2038
Open Access | Times Cited: 17
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification
Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 10, pp. 6083-6094
Open Access | Times Cited: 23
Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches
Gonzalo Nápoles, Agnieszka Jastrzębska, Carlos Javier Mosquera, et al.
Neural Networks (2020) Vol. 124, pp. 258-268
Closed Access | Times Cited: 32
Guiding evolutionary algorithms with large language models to learn fuzzy cognitive maps
Ryan Schuerkamp, Philippe J. Giabbanelli
Neural Computing and Applications (2025)
Open Access
Learning Fuzzy Cognitive Maps for Prediction Problems Using Swarm Intelligence Based on an Input-Sensitive Reasoning Mechanism
Miraç Murat, Umut Asan
Applied Soft Computing (2025), pp. 113256-113256
Closed Access
A revised cognitive mapping methodology for modeling and simulation
Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro
Knowledge-Based Systems (2024) Vol. 299, pp. 112089-112089
Closed Access | Times Cited: 3
Unraveling the airline value creation network with fuzzy cognitive maps
Francisco J Navarro-Meneses
International Journal of Engineering Business Management (2022) Vol. 14
Open Access | Times Cited: 7
Aggregating Procedure for Fuzzy Cognitive Maps
Maikel León
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2023) Vol. 36
Open Access | Times Cited: 4
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
Isel Grau, Gonzalo Nápoles, Fabian Hoitsma, et al.
Lecture notes in networks and systems (2024), pp. 745-764
Closed Access | Times Cited: 1
Factors and Paths of Transformation and Upgradation of Chemical Industry in Shandong, China
Huijian Han, Yang Ye, Rui Zhang, et al.
Sustainability (2020) Vol. 12, Iss. 8, pp. 3443-3443
Open Access | Times Cited: 10
Developing a macroscopic model based on fuzzy cognitive map for road traffic flow simulation
Mehran Amini, Miklós F. Hatwágner, Gergely Cs. Mikulai, et al.
Híradástechnika/Infocommunications journal (2021) Vol. 13, Iss. 3, pp. 14-23
Open Access | Times Cited: 9
How Modeling Methods for Fuzzy Cognitive Mapping Can Benefit From Psychology Research
Samvel Mkhitaryan, Philippe J. Giabbanelli
2018 Winter Simulation Conference (WSC) (2021)
Closed Access | Times Cited: 9
Hybrid Agent-Based Simulation of Adoption Behavior and Social Interactions: Alternatives, Opportunities, and Pitfalls
Ashkan Negahban, Philippe J. Giabbanelli
IEEE Transactions on Computational Social Systems (2021) Vol. 9, Iss. 3, pp. 770-780
Closed Access | Times Cited: 8
A Novel Framework for Enhanced Interpretability in Fuzzy Cognitive Maps
Marios Tyrovolas, X. San Liang, Chrysostomos Stylios
(2023)
Open Access | Times Cited: 2
A Compromise-Based New Approach to Learning Fuzzy Cognitive Maps
Miraç Murat, Umut Asan
Advances in intelligent systems and computing (2020), pp. 1172-1180
Closed Access | Times Cited: 3
Advanced Learning Algorithm to Create FCM Models From Quantitative Data
Agnieszka Jastrzębska, Gonzalo Nápoles
(2024), pp. 141-164
Closed Access
The nexus between pressures and ecosystem services in floodplains: New methods to integrate stakeholders’ knowledge for water quality management in Serbia
Milica Ilić, Zorica Srđević, Bojan Srđević, et al.
Ecosystem Services (2024) Vol. 68, pp. 101643-101643
Closed Access
COGNITIVE MODELING FOR STRATEGIC ANALYSIS OF THE COMPETITIVE IT COMPANY STATUS
Marina Grinchenko, V. P. Moskalenko
Bulletin of NTU KhPI Series Strategic Management Portfolio Program and Project Management (2024), Iss. 1(8), pp. 17-25
Open Access
Fuzzy Cognitive Maps as a Bridge between Symbolic and Sub-Symbolic Artificial Intelligence
Maikel León
International Journal on Cybernetics & Informatics (2024) Vol. 13, Iss. 4, pp. 57-75
Open Access
The Needed Bridge Connecting Symbolic and Sub-Symbolic AI
Maikel León
International Journal of Computer Science Engineering and Information Technology (2024) Vol. 14, Iss. 1/2/3/4, pp. 01-19
Open Access


International Journal of Computer Science Engineering and Information Technology (2024) Vol. 14, Iss. 1/2/3/4
Open Access
Fuzzy Cognitive Maps for Algorithmic Decision Making in eMental Health
Lena Brandl, Stephanie Jansen-Kosterink, Dennis Hofs, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Information Flow-Based Fuzzy Cognitive Maps with Enhanced Interpretability
Marios Tyrovolas, X. San Liang, Chrysostomos Stylios
(2023)
Open Access
Information Flow-Based Fuzzy Cognitive Maps with Enhanced Interpretability
Marios Tyrovolas, X. San Liang, Chrysostomos Stylios
(2023)
Open Access
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