Eduardo Piedad

477 total citations
22 papers, 355 citations indexed

About

Eduardo Piedad is a scholar working on Plant Science, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Eduardo Piedad has authored 22 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Electrical and Electronic Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Eduardo Piedad's work include Smart Agriculture and AI (4 papers), Advanced Chemical Sensor Technologies (3 papers) and Coconut Research and Applications (3 papers). Eduardo Piedad is often cited by papers focused on Smart Agriculture and AI (4 papers), Advanced Chemical Sensor Technologies (3 papers) and Coconut Research and Applications (3 papers). Eduardo Piedad collaborates with scholars based in Taiwan, Philippines and Spain. Eduardo Piedad's co-authors include Chyi‐Yeu Lin, Cheng‐Chien Kuo, Cathy Weng, Hong‐Chan Chang, Oriol Gomis‐Bellmunt, Eduardo Prieto‐Araujo and Weibin Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Computers and Electronics in Agriculture.

In The Last Decade

Eduardo Piedad

19 papers receiving 328 citations

Peers

Eduardo Piedad
Jiaxing Xie China
Analyn N. Yumang Philippines
Tomohiro Takigawa Japan
Sabbir Ahmed Bangladesh
Intan Sari Areni Indonesia
Claudio Fredes Chile
R. Priyadharshini India
Arnel C. Fajardo Philippines
Sidnei Alves de Araújo Brazil
Mahanijah Md Kamal Malaysia
Jiaxing Xie China
Eduardo Piedad
Citations per year, relative to Eduardo Piedad Eduardo Piedad (= 1×) peers Jiaxing Xie

Countries citing papers authored by Eduardo Piedad

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Piedad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo Piedad. 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 Eduardo Piedad. The network helps show where Eduardo Piedad may publish in the future.

Co-authorship network of co-authors of Eduardo Piedad

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Piedad. A scholar is included among the top collaborators of Eduardo Piedad 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 Eduardo Piedad. Eduardo Piedad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Piedad, Eduardo, et al.. (2024). Exploring Wavelet Transformations for Deep Learning-Based Machine Condition Diagnosis. 1–4. 3 indexed citations
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Piedad, Eduardo, et al.. (2024). Kolmogorov-Arnold Network for Machine Learning-based Motor Condition Diagnosis. QRU Quaderns de Recerca en Urbanisme. 1–5. 2 indexed citations
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Piedad, Eduardo, et al.. (2024). Simpler Machine Learning Methods Outperform Deep Learning in Motor Fault Detection. 675–680. 5 indexed citations
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Piedad, Eduardo, et al.. (2023). Acoustic dataset of coconut (Cocos nucifera) based on tapping system. Data in Brief. 47. 108936–108936. 4 indexed citations
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Piedad, Eduardo, et al.. (2022). Post-harvested Musa acuminata Banana Tiers Dataset. Data in Brief. 46. 108856–108856. 5 indexed citations
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Piedad, Eduardo, et al.. (2021). A Sound-based Machine Learning to Predict Traffic Vehicle Density. SHILAP Revista de lepidopterología. 9(1). 55–62.
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Piedad, Eduardo, et al.. (2020). Determining Philippine coconut maturity level using machine learning algorithms based on acoustic signal. Computers and Electronics in Agriculture. 172. 105327–105327. 52 indexed citations
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Piedad, Eduardo, et al.. (2020). Frequency Occurrence Plot-Based Convolutional Neural Network for Motor Fault Diagnosis. Electronics. 9(10). 1711–1711. 28 indexed citations
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Lin, Chyi‐Yeu, et al.. (2019). Deep learning for noninvasive classification of clustered horticultural crops – A case for banana fruit tiers. Postharvest Biology and Technology. 156. 110922–110922. 71 indexed citations
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Piedad, Eduardo, et al.. (2019). Vehicle Count System based on Time Interval Image Capture Method and Deep Learning Mask R-CNN. 2675–2679. 14 indexed citations
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Piedad, Eduardo, et al.. (2018). Postharvest classification of banana (Musa acuminata) using tier-based machine learning. Postharvest Biology and Technology. 145. 93–100. 76 indexed citations
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Piedad, Eduardo. (2018). Tier-based Dataset: Musa-Acuminata Banana Fruit Species. Data Archiving and Networked Services (DANS). 2. 3 indexed citations
19.
Piedad, Eduardo, et al.. (2017). Optimal Scheduling of Battery Energy Storage for Grid-Connected Load Using Photovoltaic System (PV) via Binary Particle Swarm Optimization (BPSO). SHILAP Revista de lepidopterología. 4(2). 33–60. 1 indexed citations
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Piedad, Eduardo, et al.. (2017). Displacement and Illumination Levels Effect on Short-distance Measurement Errors of Using a Camera. 4(1). 73–84. 3 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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2026