William Villegas-Ch

2.0k total citations
109 papers, 993 citations indexed

About

William Villegas-Ch is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, William Villegas-Ch has authored 109 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Information Systems, 38 papers in Artificial Intelligence and 34 papers in Computer Science Applications. Recurrent topics in William Villegas-Ch's work include Online Learning and Analytics (28 papers), IoT and Edge/Fog Computing (16 papers) and E-Learning and Knowledge Management (16 papers). William Villegas-Ch is often cited by papers focused on Online Learning and Analytics (28 papers), IoT and Edge/Fog Computing (16 papers) and E-Learning and Knowledge Management (16 papers). William Villegas-Ch collaborates with scholars based in Ecuador, Spain and Nicaragua. William Villegas-Ch's co-authors include Xavier Palacios-Pacheco, Sergio Luján‐Mora, Milton Román Cañizares, Joselin García-Ortiz, Jaime Govea, Ángel Jaramillo-Alcázar, Diego Buenaño-Fernández, Roberto Andrade, Patricia Acosta-Vargas and Luis Salvador-Ullauri and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

William Villegas-Ch

92 papers receiving 930 citations

Peers

William Villegas-Ch

CSA

CNC

EDUCA

Abdallah Namoun Saudi Arabia

Alexander Mikroyannidis United Kingdom

Ibrahim Almarashdeh Saudi Arabia

Yacine Atif United Arab Emirates

Norsaremah Salleh Malaysia

Thanassis Tiropanis United Kingdom

Chaman Verma India

Hai Hong United States

Juan A. Lara Spain

Rialette Pretorius United Kingdom

Abdallah Namoun Saudi Arabia

William Villegas-Ch

270 ×0.9

CSA

298 ×1.0

277 ×1.1

206 ×1.1

CNC

97 ×1.1

EDUCA

Citations per year, relative to William Villegas-Ch William Villegas-Ch (= 1×) peers Abdallah Namoun

Countries citing papers authored by William Villegas-Ch

Since Specialization

Citations

This map shows the geographic impact of William Villegas-Ch'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 William Villegas-Ch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Villegas-Ch more than expected).

Fields of papers citing papers by William Villegas-Ch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Villegas-Ch. 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 William Villegas-Ch. The network helps show where William Villegas-Ch may publish in the future.

Co-authorship network of co-authors of William Villegas-Ch

This figure shows the co-authorship network connecting the top 25 collaborators of William Villegas-Ch. A scholar is included among the top collaborators of William Villegas-Ch 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 William Villegas-Ch. William Villegas-Ch 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

Villegas-Ch, William, et al.. (2025). Implementation of edge AI for early fault detection in IoT networks: evaluation of performance and scalability in complex applications. SHILAP Revista de lepidopterología. 5(1).

Villegas-Ch, William, et al.. (2025). Adaptive consensus optimization in blockchain using reinforcement learning and validation in adversarial environments. Frontiers in Artificial Intelligence. 8. 1672273–1672273.

Villegas-Ch, William, et al.. (2025). Optimizing Problem-Solving in Technical Education: An Adaptive Learning System Based on Artificial Intelligence. IEEE Access. 13. 61350–61367.

Villegas-Ch, William, et al.. (2025). Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks. IEEE Access. 13. 65356–65375. 2 indexed citations

Villegas-Ch, William, et al.. (2025). Design and evaluation of a decentralized urban governance system with embedded AI and blockchain-enabled IoT. Frontiers in Sustainable Cities. 7. 1 indexed citations

Villegas-Ch, William, et al.. (2024). Application of Deep Learning Techniques for the Optimization of Industrial Processes Through the Fusion of Sensory Data. International Journal of Computational Intelligence Systems. 17(1). 4 indexed citations

Villegas-Ch, William, et al.. (2024). Real-Time Recognition and Tracking in Urban Spaces Through Deep Learning: A Case Study. IEEE Access. 12. 95599–95612.

Govea, Jaime, et al.. (2024). Optimizing Chatbot Effectiveness through Advanced Syntactic Analysis: A Comprehensive Study in Natural Language Processing. Applied Sciences. 14(5). 1737–1737. 12 indexed citations

Villegas-Ch, William, Ángel Jaramillo-Alcázar, & Sergio Luján‐Mora. (2024). Evaluating the Robustness of Deep Learning Models against Adversarial Attacks: An Analysis with FGSM, PGD and CW. Big Data and Cognitive Computing. 8(1). 8–8. 11 indexed citations

10.

Villegas-Ch, William, et al.. (2023). Framework for a Secure and Sustainable Internet of Medical Things, Requirements, Design Challenges, and Future Trends. Applied Sciences. 13(11). 6634–6634. 7 indexed citations

11.

Villegas-Ch, William, et al.. (2023). Detection of Abnormal Patterns in Children’s Handwriting by Using an Artificial-Intelligence-Based Method. Informatics. 10(2). 52–52. 3 indexed citations

12.

Villegas-Ch, William, Joselin García-Ortiz, & Jaime Govea. (2023). A Comprehensive Approach to Image Protection in Digital Environments. Computers. 12(8). 155–155. 2 indexed citations

13.

Cañizares, Milton Román, et al.. (2023). On the Performance of Intelligent Reconfigurable Surfaces for 6G Indoor Visible Light Communications Systems. Photonics. 10(10). 1117–1117. 1 indexed citations

14.

Andrade, Roberto, et al.. (2023). Prototype of an Emergency Response System Using IoT in a Fog Computing Environment. Computers. 12(4). 81–81. 4 indexed citations

15.

Acosta-Vargas, Patricia, et al.. (2021). Accessibility in Native Mobile Applications for Users with Disabilities: A Scoping Review. Applied Sciences. 11(12). 5707–5707. 9 indexed citations

16.

Villegas-Ch, William, Xavier Palacios-Pacheco, Milton Román Cañizares, & Sergio Luján‐Mora. (2021). Analysis of Educational Data in the Current State of University Learning for the Transition to a Hybrid Education Model. Applied Sciences. 11(5). 2068–2068. 13 indexed citations

17.

Villegas-Ch, William, Xavier Palacios-Pacheco, & Sergio Luján‐Mora. (2020). A Business Intelligence Framework for Analyzing Educational Data. Sustainability. 12(14). 5745–5745. 23 indexed citations

18.

Villegas-Ch, William, Xavier Palacios-Pacheco, Diego Buenaño-Fernández, & Sergio Luján‐Mora. (2019). Comprehensive Learning System Based on the Analysis of Data and the Recommendation of Activities in a Distance Education Environment. International journal of engineering education. 35(5). 1316–1325. 11 indexed citations

19.

Villegas-Ch, William, et al.. (2019). Application of a Big Data Framework for Data Monitoring on a Smart Campus. Sustainability. 11(20). 5552–5552. 21 indexed citations

20.

Villegas-Ch, William, Xavier Palacios-Pacheco, & Sergio Luján‐Mora. (2019). Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus. Sustainability. 11(10). 2857–2857. 112 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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