Artzai Picón

58 papers receiving 2.7k citations

Artzai Picón's Hit Papers

Few-Shot Learning approach for plant disease classification using images taken in the field 2020 · 248 citations
2480+4+8Years since publication200400600

Peers

Artzai Picón
Comparison fields: 5 of 136
  • Media Technology 429
  • Analytical Chemistry 460
  • Computer Vision and Pattern Recognition 928
  • Plant Science 1.1k
  • Health Informatics 18
Replace Adel Hafiane with:
Adel Hafiane France
Khurram Khurshid Pakistan
Sotirios A. Tsaftaris United Kingdom
Muhammad Jaleed Khan Pakistan
Zhaobin Wang China
Erchan Aptoula Türkiye
Hao Lü China
Ribana Roscher Germany
S. Arivazhagan India
Bo Zhao China
Artzai Picón relative to Adel Hafiane France Adel Hafiane's profile →
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Adel Hafiane · 1×
Citations per year

Countries citing papers authored by Artzai Picón

Since Specialization
Citations

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

Fields of papers citing papers by Artzai Picón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Artzai Picón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Artzai Picón Line = papers co-authored together Artzai Picón links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic Red-Channel underwater image restoration
Hit paper breakdown →
2014725
2
Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
Hit paper breakdown →
2018367
3
Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case
Hit paper breakdown →
2017300
4
Few-Shot Learning approach for plant disease classification using images taken in the field
Hit paper breakdown →
2020248
5 2019152
6 2020119
7 200989
8 202170
9 201960
10 201957
11 202056
12 202255
13 202244
14 201943
15 202038
16 202033
17 201233
18 202028
19 202227
20 201522

About Artzai Picón

Artzai Picón is a scholar working on Artificial Intelligence, Plant Science, Biomedical Engineering, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Smart Agriculture and AI (12 papers), Spectroscopy and Chemometric Analyses (10 papers), AI in cancer detection (10 papers), Industrial Vision Systems and Defect Detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cell Image Analysis Techniques (4 papers), Remote Sensing in Agriculture (4 papers) and Non-Invasive Vital Sign Monitoring (4 papers). The work is most often cited by research in Media Technology (429 citations), Analytical Chemistry (460 citations), Computer Vision and Pattern Recognition (928 citations), Plant Science (1.1k citations) and Health Informatics (18 citations). Artzai Picón has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Aitor Álvarez-Gila, Adrián Galdrán, David Pardo, Jone Echazarra, Amaia Ortiz‐Barredo, Arantza Bereciartúa-Pérez, Unai Irusta, Alfonso Medela, Sergio Rodríguez-Vaamonde and Ana María Díez-Navajas. Their work appears in journals such as Computers and Electronics in Agriculture, Journal of Pathology Informatics, IEEE Access, IEEE Transactions on Industrial Informatics and Artificial Intelligence in Agriculture.

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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