Dionis A. Padilla

584 total citations
35 papers, 385 citations indexed

About

Dionis A. Padilla is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Dionis A. Padilla has authored 35 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 7 papers in Plant Science. Recurrent topics in Dionis A. Padilla's work include Smart Agriculture and AI (6 papers), Spectroscopy and Chemometric Analyses (6 papers) and IoT-based Smart Home Systems (4 papers). Dionis A. Padilla is often cited by papers focused on Smart Agriculture and AI (6 papers), Spectroscopy and Chemometric Analyses (6 papers) and IoT-based Smart Home Systems (4 papers). Dionis A. Padilla collaborates with scholars based in Philippines and Taiwan. Dionis A. Padilla's co-authors include Jocelyn F. Villaverde, Analyn N. Yumang, Jessie R. Balbin, Meo Vincent C. Caya, Febus Reidj G. Cruz, Wen‐Yaw Chung and Ramon G. Garcia and has published in prestigious journals such as 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Dionis A. Padilla

33 papers receiving 279 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dionis A. Padilla Philippines 10 146 115 65 34 30 35 385
Jessie R. Balbin Philippines 10 83 0.6× 66 0.6× 56 0.9× 39 1.1× 58 1.9× 76 344
Noel B. Linsangan Philippines 14 177 1.2× 140 1.2× 90 1.4× 62 1.8× 87 2.9× 89 612
Yuita Arum Sari Indonesia 13 60 0.4× 67 0.6× 49 0.8× 84 2.5× 18 0.6× 62 367
Harjeet Singh India 10 71 0.5× 92 0.8× 46 0.7× 47 1.4× 31 1.0× 29 309
Naresh Kumar Trivedi India 13 319 2.2× 64 0.6× 119 1.8× 99 2.9× 27 0.9× 73 615
Muhammad Munsif Pakistan 9 55 0.4× 88 0.8× 28 0.4× 54 1.6× 13 0.4× 15 286
Yun-Wei Lin Taiwan 6 136 0.9× 33 0.3× 47 0.7× 24 0.7× 12 0.4× 10 292
Sabbir Ahmed Bangladesh 10 154 1.1× 93 0.8× 59 0.9× 29 0.9× 24 0.8× 32 410
Rajveer Singh Shekhawat India 10 120 0.8× 57 0.5× 48 0.7× 29 0.9× 71 2.4× 31 288
Mengxiao Tian China 5 61 0.4× 153 1.3× 12 0.2× 31 0.9× 22 0.7× 6 329

Countries citing papers authored by Dionis A. Padilla

Since Specialization
Citations

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

Fields of papers citing papers by Dionis A. Padilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dionis A. Padilla. 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 Dionis A. Padilla. The network helps show where Dionis A. Padilla may publish in the future.

Co-authorship network of co-authors of Dionis A. Padilla

This figure shows the co-authorship network connecting the top 25 collaborators of Dionis A. Padilla. A scholar is included among the top collaborators of Dionis A. Padilla 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 Dionis A. Padilla. Dionis A. Padilla 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.
Padilla, Dionis A., et al.. (2024). An Electronic Nose Approach in Identifying Ripe Tomato Fruit Using LeNet-5 Structure. 223–227. 1 indexed citations
2.
Padilla, Dionis A., et al.. (2024). Expiration Identification of Canned Goods using Convolutional Neural Network. 173–177. 1 indexed citations
3.
Padilla, Dionis A., et al.. (2023). Email Spam Classification using DistilBERT. 1–6. 2 indexed citations
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Padilla, Dionis A., et al.. (2023). Expiry Date Character Recognition on Canned Goods Using Convolutional Neural Network VGG16 Architecture. 394–399. 5 indexed citations
6.
Padilla, Dionis A., et al.. (2022). Electronic Nose and Deep Learning Approach in Identifying Ripe Lycopersicum esculentum L. TomatoFruit. 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT). 1–6. 9 indexed citations
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Villaverde, Jocelyn F., et al.. (2021). Classification of Citrus Sinensis Peel for Production of Biopolymers Using Probability Distribution Function. 319–323. 7 indexed citations
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Padilla, Dionis A., et al.. (2021). A YOLO-Based Approach for Aedes Aegypti Larvae Classification and Detection. 161–167. 17 indexed citations
11.
Padilla, Dionis A., et al.. (2020). Detection of Corn Leaf Diseases Using Convolutional Neural Network With OpenMP Implementation. 1–6. 54 indexed citations
12.
Padilla, Dionis A., et al.. (2020). English Treebank of Mapúa University Smart Interactive Voice Response System. 1–6. 3 indexed citations
13.
Padilla, Dionis A., et al.. (2020). Air Quality Prediction using Recurrent Air Quality Predictor with Ensemble Learning. 1–6. 5 indexed citations
14.
Padilla, Dionis A., et al.. (2020). Deep Learning Approach in Gregg Shorthand Word to English-Word Conversion. 204–210. 14 indexed citations
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Balbin, Jessie R., et al.. (2017). Support vector machine and mel frequency Cepstral coefficient based algorithm for hand gestures and bidirectional speech to text device. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10225. 102250M–102250M. 1 indexed citations
19.
Cruz, Febus Reidj G., et al.. (2017). Cloud-based application for rice moisture content measurement using image processing technique and perceptron neural network. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10225. 102251W–102251W. 5 indexed citations
20.

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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