Luis Javier Herrera

7.0k total citations · 4 hit papers
136 papers, 5.0k citations indexed

About

Luis Javier Herrera is a scholar working on Artificial Intelligence, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Luis Javier Herrera has authored 136 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 20 papers in Molecular Biology and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Luis Javier Herrera's work include Neural Networks and Applications (25 papers), Color Science and Applications (18 papers) and Fuzzy Logic and Control Systems (17 papers). Luis Javier Herrera is often cited by papers focused on Neural Networks and Applications (25 papers), Color Science and Applications (18 papers) and Fuzzy Logic and Control Systems (17 papers). Luis Javier Herrera collaborates with scholars based in Spain, United States and Brazil. Luis Javier Herrera's co-authors include María del Mar Pérez Gómez, Razvan Ghinea, Rade D. Paravina, Álvaro Della Bona, Ignacio Rojas, H. Pomares, Alberto Guillén, Ana María Romero Yebra, María José Rivas and Olga Valenzuela and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Luis Javier Herrera

129 papers receiving 4.8k citations

Hit Papers

Color Difference Thresholds in Dentistry 2010 2026 2015 2020 2015 2010 2016 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Javier Herrera Spain 31 2.1k 919 543 443 441 136 5.0k
Jihoon Park South Korea 27 228 0.1× 312 0.3× 62 0.1× 53 0.1× 188 0.4× 184 2.5k
Shaofeng Zhang China 31 170 0.1× 129 0.1× 110 0.2× 47 0.1× 105 0.2× 254 4.2k
Nenad Filipović Serbia 29 146 0.1× 228 0.2× 353 0.7× 10 0.0× 675 1.5× 303 3.7k
Amir Ahmad United Arab Emirates 20 91 0.0× 65 0.1× 1.2k 2.1× 35 0.1× 14 0.0× 77 2.6k
Gopi Battineni Italy 26 35 0.0× 81 0.1× 775 1.4× 38 0.1× 51 0.1× 96 3.0k
Giovanni Di Leo Italy 28 29 0.0× 52 0.1× 243 0.4× 9 0.0× 491 1.1× 131 3.8k
Eunjung Lee South Korea 38 83 0.0× 168 0.2× 289 0.5× 244 0.6× 222 5.2k
Hong‐Gee Kim South Korea 23 44 0.0× 93 0.1× 396 0.7× 18 0.0× 80 0.2× 151 1.8k
Weng Kee Wong United States 30 24 0.0× 157 0.2× 257 0.5× 7 0.0× 272 0.6× 211 4.3k
Sung‐Ho Kim South Korea 35 43 0.0× 17 0.0× 75 0.1× 14 0.0× 160 0.4× 324 4.0k

Countries citing papers authored by Luis Javier Herrera

Since Specialization
Citations

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

Fields of papers citing papers by Luis Javier Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Javier Herrera. 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 Luis Javier Herrera. The network helps show where Luis Javier Herrera may publish in the future.

Co-authorship network of co-authors of Luis Javier Herrera

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Javier Herrera. A scholar is included among the top collaborators of Luis Javier Herrera 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 Luis Javier Herrera. Luis Javier Herrera 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.
Herrera, Luis Javier, et al.. (2024). Exploring the CIEDE2000 thresholds for lightness, chroma, and hue differences in dentistry. Journal of Dentistry. 150. 105327–105327. 5 indexed citations
2.
Rojas, Ignacio, et al.. (2024). Gene Expression Analysis for Uterine Cervix and Corpus Cancer Characterization. Genes. 15(3). 312–312. 1 indexed citations
3.
Herrera, Luis Javier, Razvan Ghinea, María del Mar Pérez Gómez, & Rade D. Paravina. (2024). Machine‐Learning‐Based Spectral Modeling: A Biomimetic Guide for Enhancing Esthetics. Journal of Esthetic and Restorative Dentistry. 37(1). 117–125.
4.
Herrera, Luis Javier, et al.. (2023). MANAGEMENT OF RECURRENT BRONCHOPLEURAL FISTULA SECONDARY TO ASPERGILLOMA USING ATRIAL SEPTAL DEFECT CLOSURE DEVICE. CHEST Journal. 164(4). A5357–A5358. 1 indexed citations
5.
Valenzuela, Olga, Fernando Rojas, Luis Javier Herrera, H. Pomares, & Ignacio Rojas. (2023). New Developments in Time Series and Forecasting, ITISE-2023. SHILAP Revista de lepidopterología. 101–101.
6.
Rojas, Ignacio, et al.. (2023). Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches. Computers in Biology and Medicine. 168. 107713–107713. 5 indexed citations
7.
Valenzuela, Olga, Fernando Rojas, Luis Javier Herrera, H. Pomares, & Ignacio Rojas. (2023). Theory and Applications of Time Series Analysis and Forecasting. 1 indexed citations
8.
Rojas, Fernando, et al.. (2022). Determination of the Severity and Percentage of COVID-19 Infection through a Hierarchical Deep Learning System. Journal of Personalized Medicine. 12(4). 535–535. 9 indexed citations
9.
Castillo-Secilla, Daniel, Juan Manuel Gálvez, Francisco Carrillo‐Pérez, et al.. (2022). Comprehensive Pan-cancer Gene Signature Assessment through theImplementation of a Cascade Machine Learning System. Current Bioinformatics. 18(1). 40–54. 1 indexed citations
10.
Herrera, Luis Javier, et al.. (2022). COVID-19 Biomarkers Recognition & Classification Using IntelligentSystems. Current Bioinformatics. 17(5). 426–439. 3 indexed citations
11.
Gálvez, Juan Manuel, et al.. (2021). Heterogeneous Gene Expression Cross-Evaluation of Robust Biomarkers Using Machine Learning Techniques Applied to Lung Cancer. Current Bioinformatics. 17(2). 150–163. 1 indexed citations
12.
Castillo-Secilla, Daniel, Juan Manuel Gálvez, Francisco Carrillo‐Pérez, et al.. (2021). KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge. Computers in Biology and Medicine. 133. 104387–104387. 12 indexed citations
13.
Gálvez, Juan Manuel, Daniel Castillo-Secilla, Luis Javier Herrera, et al.. (2019). Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets. IEEE Journal of Biomedical and Health Informatics. 24(7). 2119–2130. 21 indexed citations
14.
Gómez, María del Mar Pérez, Luis Javier Herrera, Francisco Carrillo‐Pérez, et al.. (2018). Whiteness difference thresholds in dentistry. Dental Materials. 35(2). 292–297. 168 indexed citations
15.
Ghinea, Razvan, et al.. (2015). Color Range and Color Distribution of Healthy Human Gingiva: a Prospective Clinical Study. Scientific Reports. 5(1). 18498–18498. 50 indexed citations
16.
Baños, Oresti, Juan Manuel Gálvez, Miguel Damas, et al.. (2014). Evaluating the effects of signal segmentation on activity recognition.. 759–765. 7 indexed citations
17.
Pennock, Gregory, et al.. (2011). A Rare Case of Endobronchial Amelanotic Melanoma. Journal of Thoracic Oncology. 6(3). 643–644.
18.
Guillén, Alberto, et al.. (2009). Applying Mutual Information for Prototype or Instance Selection in Regression Problems. The European Symposium on Artificial Neural Networks. 2 indexed citations
19.
Pomares, H., et al.. (2005). Hierarchical Structure for function approximation using radial basis function. International Conference on Applied Mathematics. 228–233. 1 indexed citations
20.
Herrera, Luis Javier, et al.. (1983). The complexification of a non-rotating sphere: an extension of the Newman-Janis algorithm.. 1017–1022. 1 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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