J. Blasco

8.5k total citations · 3 hit papers
136 papers, 6.0k citations indexed

About

J. Blasco is a scholar working on Analytical Chemistry, Plant Science and Biomedical Engineering. According to data from OpenAlex, J. Blasco has authored 136 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Analytical Chemistry, 77 papers in Plant Science and 23 papers in Biomedical Engineering. Recurrent topics in J. Blasco's work include Spectroscopy and Chemometric Analyses (91 papers), Smart Agriculture and AI (38 papers) and Advanced Chemical Sensor Technologies (21 papers). J. Blasco is often cited by papers focused on Spectroscopy and Chemometric Analyses (91 papers), Smart Agriculture and AI (38 papers) and Advanced Chemical Sensor Technologies (21 papers). J. Blasco collaborates with scholars based in Spain, Colombia and United States. J. Blasco's co-authors include Nuria Aleixos, Sergio Cubero, Enrique Moltó, Juan Gómez‐Sanchís, D. Lorente, Pau Talens, Manuela Zude-Sasse, Victoria Cortés, Sandra Munera and Oscar Leonardo García-Navarrete and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

In The Last Decade

J. Blasco

129 papers receiving 5.7k citations

Hit Papers

Recent Advances and Applications of Hyperspectral Imaging... 2011 2026 2016 2021 2011 2020 2025 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Blasco Spain 46 4.0k 3.0k 1.3k 787 632 136 6.0k
Wenqian Huang China 40 3.5k 0.9× 1.8k 0.6× 1.2k 1.0× 576 0.7× 859 1.4× 133 4.5k
Nuria Aleixos Spain 35 2.7k 0.7× 2.0k 0.7× 882 0.7× 508 0.6× 425 0.7× 76 4.1k
Renfu Lu United States 55 6.2k 1.6× 3.5k 1.2× 2.2k 1.7× 1.0k 1.3× 1.4k 2.3× 220 8.5k
Shuxiang Fan China 37 3.1k 0.8× 1.6k 0.5× 1.1k 0.9× 441 0.6× 737 1.2× 89 3.8k
Moon S. Kim United States 39 3.5k 0.9× 1.5k 0.5× 1.4k 1.1× 827 1.1× 481 0.8× 219 5.5k
Sergio Cubero Spain 31 2.2k 0.6× 1.6k 0.5× 748 0.6× 500 0.6× 337 0.5× 61 3.2k
Chu Zhang China 47 3.8k 1.0× 2.4k 0.8× 1.5k 1.2× 549 0.7× 496 0.8× 226 6.5k
Byoung–Kwan Cho South Korea 42 4.2k 1.1× 2.3k 0.8× 1.7k 1.3× 988 1.3× 486 0.8× 330 6.7k
Jean‐Michel Roger France 41 4.2k 1.1× 1.1k 0.4× 1.5k 1.2× 661 0.8× 1.0k 1.6× 192 6.8k
Jianwei Qin United States 39 3.1k 0.8× 1.2k 0.4× 1.2k 0.9× 644 0.8× 376 0.6× 244 5.1k

Countries citing papers authored by J. Blasco

Since Specialization
Citations

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

Fields of papers citing papers by J. Blasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Blasco

This figure shows the co-authorship network connecting the top 25 collaborators of J. Blasco. A scholar is included among the top collaborators of J. Blasco 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 J. Blasco. J. Blasco 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.
Gómez‐Sanchís, Juan, et al.. (2025). Raman spectroscopy for multi-label identification of common apple pesticide mixtures using CNNs and gradient-weighted class activation mapping. Food Control. 178. 111460–111460. 2 indexed citations
2.
Taghinezhad, Ebrahim, et al.. (2025). The potential application of HSI and VIS/NIR spectroscopy for non-invasive detection of starch gelatinization and head rice yield during parboiling and drying process. Journal of Food Composition and Analysis. 142. 107443–107443. 5 indexed citations
4.
5.
Giménez, María J., et al.. (2024). Non-destructive assessment of 'Fino' lemon quality through ripening using NIRS and chemometric analysis. Postharvest Biology and Technology. 212. 112870–112870. 15 indexed citations
6.
Aunsri, Nattapol, Sila Kittiwachana, Kietsuda Luengwilai, et al.. (2024). Acoustic response discrimination of phulae pineapple maturity and defects using factor analysis of mixed data and machine learning algorithms. SHILAP Revista de lepidopterología. 9. 100601–100601. 1 indexed citations
7.
Wouters, Niels, et al.. (2023). Detection of subsurface bruises in plums using spectral imaging and deep learning with wavelength selection. Postharvest Biology and Technology. 207. 112615–112615. 19 indexed citations
8.
Quiñones, Ana, et al.. (2023). Rapid Prediction of Nutrient Concentration in Citrus Leaves Using Vis-NIR Spectroscopy. Sensors. 23(14). 6530–6530. 12 indexed citations
10.
Blasco, J., et al.. (2023). Non-Destructive Appraisal of Macro- and Micronutrients in Persimmon Leaves Using Vis/NIR Hyperspectral Imaging. Agriculture. 13(4). 916–916. 7 indexed citations
11.
Rodríguez, Alejandro, et al.. (2023). Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit. Journal of Food Engineering. 358. 111673–111673. 23 indexed citations
12.
Cubero, Sergio, et al.. (2020). Characterization of a Multispectral Imaging System Based on Narrow Bandwidth Power LEDs. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 14 indexed citations
13.
Badaró, Amanda Teixeira, José Manuel Amigo, J. Blasco, et al.. (2020). Near infrared hyperspectral imaging and spectral unmixing methods for evaluation of fiber distribution in enriched pasta. Food Chemistry. 343. 128517–128517. 34 indexed citations
14.
15.
Benalia, Souraya, et al.. (2015). Preliminary trials on Hyperspectral Imaging Implementation to Detect Mycotoxins in Dried Figs. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Benalia, Souraya, et al.. (2015). Chemical Engineering Transactions. Redivia (Instituto Valenciano de Investigaciones Agrarias (IVIA)). 6 indexed citations
17.
Chanona‐Pérez, José Jorge, Humberto Hernández‐Sánchez, Eduardo Palacios, et al.. (2013). BIOSENSORES MECÁNICOS EN EL ÁREA BIOLÓGICA Y ALIMENTARIA: UNA REVISIÓN. Revista Mexicana de Ingeniería Química. 12(2). 205–225. 2 indexed citations
18.
Blasco, J., et al.. (1990). Resistance of Aphis frangulae gossypii Glover (Homoptera: Aphididae) to insecticides in citrus crops.. 16(1). 189–193.
19.
Blasco, J., et al.. (1980). Los pulgones de los cítricos. Resultados de varios ensayos de productos para determinar la eficaciasobre las diferentes especies.. Boletín de sanidad vegetal. Plagas. 6(1). 67–73. 2 indexed citations
20.
Blasco, J., et al.. (1976). Estudio de la distribución, nivel de ataque y parásitos de las cochinillas diaspinas Chrysomphalus dictyospermi Morgan y Parlatoria pergandii Comst. en cítricos de la provincia de Castellón.. Boletín de sanidad vegetal. Plagas. 2(1). 73–87. 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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