Leandro Alves Neves

1.1k total citations
85 papers, 780 citations indexed

About

Leandro Alves Neves is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Leandro Alves Neves has authored 85 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 45 papers in Computer Vision and Pattern Recognition and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Leandro Alves Neves's work include AI in cancer detection (54 papers), Digital Imaging for Blood Diseases (32 papers) and Image Retrieval and Classification Techniques (15 papers). Leandro Alves Neves is often cited by papers focused on AI in cancer detection (54 papers), Digital Imaging for Blood Diseases (32 papers) and Image Retrieval and Classification Techniques (15 papers). Leandro Alves Neves collaborates with scholars based in Brazil, Portugal and Italy. Leandro Alves Neves's co-authors include Marcelo Zanchetta do Nascimento, Tháına A. A. Tosta, Alessandro S. Martins, Paulo Rogério de Faria, Rodrigo Pereira Ramos, Moacir Fernandes de Godoy, Gilberto Arantes Carrijo, Alessandra Lumini, João Paulo Silva Servato and J.M. Machado and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and BioMed Research International.

In The Last Decade

Leandro Alves Neves

71 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leandro Alves Neves Brazil 16 520 390 249 75 72 85 780
Marcelo Zanchetta do Nascimento Brazil 17 682 1.3× 508 1.3× 338 1.4× 82 1.1× 72 1.0× 91 997
Haoyuan Chen China 14 506 1.0× 253 0.6× 327 1.3× 37 0.5× 60 0.8× 25 813
Mohammed M. Abdelsamea Egypt 17 425 0.8× 233 0.6× 333 1.3× 35 0.5× 33 0.5× 35 829
John Arévalo Colombia 13 705 1.4× 367 0.9× 483 1.9× 53 0.7× 72 1.0× 30 1.0k
Anas Bilal China 18 302 0.6× 324 0.8× 492 2.0× 58 0.8× 39 0.5× 66 1.1k
Yixin Li China 9 373 0.7× 170 0.4× 207 0.8× 41 0.5× 26 0.4× 20 587
Omar S. Al-Kadi Jordan 14 301 0.6× 227 0.6× 269 1.1× 35 0.5× 32 0.4× 39 786
Çiğdem Gündüz-Demir Türkiye 17 583 1.1× 543 1.4× 286 1.1× 62 0.8× 186 2.6× 36 912
Nikos Dimitropoulos Greece 17 554 1.1× 269 0.7× 360 1.4× 78 1.0× 18 0.3× 43 889

Countries citing papers authored by Leandro Alves Neves

Since Specialization
Citations

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

Fields of papers citing papers by Leandro Alves Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leandro Alves Neves. 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 Leandro Alves Neves. The network helps show where Leandro Alves Neves may publish in the future.

Co-authorship network of co-authors of Leandro Alves Neves

This figure shows the co-authorship network connecting the top 25 collaborators of Leandro Alves Neves. A scholar is included among the top collaborators of Leandro Alves Neves 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 Leandro Alves Neves. Leandro Alves Neves 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.
2.
Tosta, Tháına A. A., Paulo Rogério de Faria, Leandro Alves Neves, et al.. (2024). Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images. Pattern Analysis and Applications. 27(1). 4 indexed citations
3.
Lumini, Alessandra, et al.. (2024). Data Augmentation in Histopathological Classification: An Analysis Exploring GANs with XAI and Vision Transformers. Applied Sciences. 14(18). 8125–8125. 5 indexed citations
4.
Neves, Leandro Alves, Tháına A. A. Tosta, Paulo Rogério de Faria, et al.. (2024). Exploring DeepDream and XAI Representations for Classifying Histological Images. SN Computer Science. 5(4). 3 indexed citations
5.
Martins, Alessandro S., Tháına A. A. Tosta, Adriano Mota Loyola, et al.. (2024). OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification. Journal of Imaging Informatics in Medicine. 37(4). 1691–1710. 4 indexed citations
6.
Tosta, Tháına A. A., et al.. (2023). A stain color normalization with robust dictionary learning for breast cancer histological images processing. Biomedical Signal Processing and Control. 85. 104978–104978. 10 indexed citations
7.
Neves, Leandro Alves, et al.. (2023). Analysis of neural networks trained with evolutionary algorithms for the classification of breast cancer histological images. Expert Systems with Applications. 231. 120609–120609. 7 indexed citations
8.
Tosta, Tháına A. A., Alessandro S. Martins, Adriano Mota Loyola, et al.. (2023). CNN Ensembles for Nuclei Segmentation on Histological Images of OED. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 601–604. 1 indexed citations
9.
Nascimento, Marcelo Zanchetta do, et al.. (2023). Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier. Multimedia Tools and Applications. 83(8). 21929–21952. 16 indexed citations
10.
11.
Tosta, Tháına A. A., Paulo Rogério de Faria, Leandro Alves Neves, & Marcelo Zanchetta do Nascimento. (2019). Color normalization of faded H&E-stained histological images using spectral matching. Computers in Biology and Medicine. 111. 103344–103344. 19 indexed citations
12.
Neves, Leandro Alves, et al.. (2018). Exploring Mesh Generation and Quality Enhancement with Open Source Codes. Journal of Computer Science. 14(7). 1000–1028. 1 indexed citations
13.
Neves, Leandro Alves, et al.. (2018). Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer. Computers in Biology and Medicine. 103. 148–160. 23 indexed citations
14.
Nascimento, Marcelo Zanchetta do, Alessandro S. Martins, Tháına A. A. Tosta, & Leandro Alves Neves. (2018). Lymphoma images analysis using morphological and non-morphological descriptors for classification. Computer Methods and Programs in Biomedicine. 163. 65–77. 22 indexed citations
15.
Neves, Leandro Alves, et al.. (2017). Features based on the percolation theory for quantification of non-Hodgkin lymphomas. Computers in Biology and Medicine. 91. 135–147. 27 indexed citations
16.
Neves, Leandro Alves, et al.. (2016). The impact of internet addiction on the mental health of college students from the central area of Portugal. Repositório Científico do Instituto Politécnico de Viseu (Instituto Politécnico de Viseu). 2 indexed citations
17.
Neves, Leandro Alves, et al.. (2014). An Efficient Parallel Algorithm for Multiple Sequence Similarities Calculation Using a Low Complexity Method. BioMed Research International. 2014. 1–6. 4 indexed citations
18.
Nascimento, Marcelo Zanchetta do, et al.. (2014). Algorithms for automatic segmentation of bovine embryos produced in vitro. Journal of Physics Conference Series. 490. 12125–12125. 5 indexed citations
19.
Murta, Luiz Otávio, et al.. (2011). Dimensão fractal na quantificação do grau de rejeição celular miocárdica pós-transplante cardíaco. Brazilian Journal of Cardiovascular Surgery. 26(2). 155–163. 14 indexed citations
20.
Peres, Fernando Augusto, et al.. (2010). Automatic segmentation of digital images applied in cardiac medical images. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 2. 38–42. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Marcelo Zanchetta do Nascimento Breakdown of academic impact, for papers by Haoyuan Chen Breakdown of academic impact, for papers by Mohammed M. Abdelsamea Breakdown of academic impact, for papers by John Arévalo Breakdown of academic impact, for papers by Anas Bilal Breakdown of academic impact, for papers by Yixin Li Breakdown of academic impact, for papers by Omar S. Al-Kadi Breakdown of academic impact, for papers by Çiğdem Gündüz-Demir Breakdown of academic impact, for papers by Nikos Dimitropoulos
Rankless by CCL
2026