Fernando Gaxiola

616 total citations
23 papers, 409 citations indexed

About

Fernando Gaxiola is a scholar working on Artificial Intelligence, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Fernando Gaxiola has authored 23 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 4 papers in Signal Processing. Recurrent topics in Fernando Gaxiola's work include Fuzzy Logic and Control Systems (13 papers), Neural Networks and Applications (11 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Fernando Gaxiola is often cited by papers focused on Fuzzy Logic and Control Systems (13 papers), Neural Networks and Applications (11 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Fernando Gaxiola collaborates with scholars based in Mexico. Fernando Gaxiola's co-authors include Fevrier Valdez, Patricia Melín, Oscar Castillo, Juan R. Castro, Fernando Martínez, Aldo Jonathan Muñoz‐Vázquez, Miguel López, R. Narro-García, E. Rodríguez and Graciela Ramírez-Alonso and has published in prestigious journals such as Information Sciences, Applied Soft Computing and Materials Research Bulletin.

In The Last Decade

Fernando Gaxiola

19 papers receiving 403 citations

Peers

Fernando Gaxiola

CSE

EEE

MSOR

Gerardo Maximiliano Méndez Mexico

Pyramo Costa Brazil

Ming-Shong Lan United States

Hiroyoshi Nomura Japan

Daniel G. Schwartz United States

Kirthevasan Kandasamy United States

M.H. Lim Singapore

Nohé R. Cázarez-Castro Mexico

L.T. Kóczy Hungary

Kezong Tang China

Gerardo Maximiliano Méndez Mexico

Fernando Gaxiola

328 ×1.3

123 ×1.1

CSE

37 ×0.6

EEE

57 ×1.0

MSOR

78 ×1.5

Citations per year, relative to Fernando Gaxiola Fernando Gaxiola (= 1×) peers Gerardo Maximiliano Méndez

Countries citing papers authored by Fernando Gaxiola

Since Specialization

Citations

This map shows the geographic impact of Fernando Gaxiola's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fernando Gaxiola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Gaxiola more than expected).

Fields of papers citing papers by Fernando Gaxiola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Gaxiola. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fernando Gaxiola. The network helps show where Fernando Gaxiola may publish in the future.

Co-authorship network of co-authors of Fernando Gaxiola

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Gaxiola. A scholar is included among the top collaborators of Fernando Gaxiola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernando Gaxiola. Fernando Gaxiola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ramírez-Alonso, Graciela, et al.. (2025). A Comparative Evaluation of Meta-Learning Models for Few-Shot Chest X-Ray Disease Classification. Diagnostics. 15(18). 2404–2404.

Gaxiola, Fernando, et al.. (2024). Identification of the Beverage Sotol Adulterated with Ethylene Glycol Using UV-Vis Spectroscopy and Artificial Neural Networks. Chemosensors. 12(3). 46–46. 1 indexed citations

Ramírez-Alonso, Graciela, et al.. (2024). A TransUNet model with an adaptive fuzzy focal loss for medical image segmentation. Soft Computing. 28(20). 12359–12375.

Cornejo, Raymundo, et al.. (2023). Interactive floor's impact on gross motor abilities in Mexican children with learning and language disabilities'. 1–4.

Gaxiola, Fernando, et al.. (2022). A Comparative Study in Machine Learning and Audio Features for Kitchen Sounds Recognition. Computación y Sistemas. 26(2). 3 indexed citations

Gaxiola, Fernando, et al.. (2022). Analysis of CNN Architectures for Human Action Recognition in Video. Computación y Sistemas. 26(2). 3 indexed citations

Rodríguez, E., et al.. (2021). Effect of Ho3+ concentration on the luminescent and thermal stability of tellurite glasses. Materials Research Bulletin. 144. 111483–111483. 14 indexed citations

Cornejo, Raymundo, et al.. (2019). Design implications for exergames with moderate activity to improve inter-joint angle for older adults. 1–8.

Muñoz‐Vázquez, Aldo Jonathan, et al.. (2019). A fuzzy fractional-order control of robotic manipulators with PID error manifolds. Applied Soft Computing. 83. 105646–105646. 30 indexed citations

10.

Gaxiola, Fernando, et al.. (2019). PSO with Dynamic Adaptation of Parameters for Optimization in Neural Networks with Interval Type-2 Fuzzy Numbers Weights. Axioms. 8(1). 14–14. 20 indexed citations

11.

Valdez, Fevrier, et al.. (2018). Fuzzy Dynamic Parameter Adaptation in ACO and PSO for Designing Fuzzy Controllers: The Cases of Water Level and Temperature Control. Advances in Fuzzy Systems. 2018. 1–19. 23 indexed citations

12.

Ramírez-Alonso, Graciela, et al.. (2018). Classification of Acoustic Events in a Kitchen Environment using Multiband Spectral Entropy. 3. 1–6. 1 indexed citations

13.

Gaxiola, Fernando, Patricia Melín, Fevrier Valdez, Oscar Castillo, & Juan R. Castro. (2017). Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks. Information. 8(3). 114–114. 10 indexed citations

14.

Gaxiola, Fernando, Patricia Melín, Fevrier Valdez, & Juan R. Castro. (2016). Optimization with genetic algorithm and particle swarm optimization of type-2 fuzzy integrator for ensemble neural network in time series. 2067–2074. 3 indexed citations

15.

Martínez, Gabriela E., Olivia Mendoza, Patricia Melín, & Fernando Gaxiola. (2016). Comparison between Choquet and Sugeno integrals as aggregation operators for modular neural networks. 2331–2336. 3 indexed citations

16.

Gaxiola, Fernando, Patricia Melín, & Fevrier Valdez. (2016). New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks. SpringerBriefs in applied sciences and technology. 2 indexed citations

17.

Gaxiola, Fernando, Patricia Melín, Fevrier Valdez, & Oscar Castillo. (2015). Generalized type-2 fuzzy weight adjustment for backpropagation neural networks in time series prediction. Information Sciences. 325. 159–174. 54 indexed citations

18.

Gaxiola, Fernando, Patricia Melín, Fevrier Valdez, & Oscar Castillo. (2013). Optimization of type-2 fuzzy weight for neural network using genetic algorithm and particle swarm optimization. 1. 22–28. 4 indexed citations

19.

Gaxiola, Fernando, Patricia Melín, & Fevrier Valdez. (2012). Backpropagation method with type-2 fuzzy weight adjustment for neural network learning. 1. 1–6. 2 indexed citations

20.

Gaxiola, Fernando, Patricia Melín, & Miguel López. (2010). Modular neural networks for person recognition using segmentation and the iris biometric measurement with image pre-processing. 1. 1–7. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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