Wesley Nunes Gonçalves

4.9k total citations · 3 hit papers
121 papers, 3.3k citations indexed

About

Wesley Nunes Gonçalves is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Ecology. According to data from OpenAlex, Wesley Nunes Gonçalves has authored 121 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 39 papers in Environmental Engineering and 37 papers in Ecology. Recurrent topics in Wesley Nunes Gonçalves's work include Remote Sensing and LiDAR Applications (37 papers), Remote Sensing in Agriculture (33 papers) and Smart Agriculture and AI (25 papers). Wesley Nunes Gonçalves is often cited by papers focused on Remote Sensing and LiDAR Applications (37 papers), Remote Sensing in Agriculture (33 papers) and Smart Agriculture and AI (25 papers). Wesley Nunes Gonçalves collaborates with scholars based in Brazil, Canada and China. Wesley Nunes Gonçalves's co-authors include José Marcato, Jonathan Li, Lucas Prado Osco, Ana Paula Marques Ramos, Odemir Martinez Bruno, Hemerson Pistori, Veraldo Liesenberg, Bruno Brandoli Machado, Diogo Nunes Gonçalves and Edson Takashi Matsubara and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Water Resources Research.

In The Last Decade

Wesley Nunes Gonçalves

116 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices

2020 205 citations Ana Paula Marques Ramos, Lucas Prado Osco et al. profile →
The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot

2023 168 citations Lucas Prado Osco, Qiusheng Wu et al. International Journal of Applied Earth Observation and Geoinformation profile →
Road extraction in remote sensing data: A survey

2022 123 citations Ziyi Chen, Dilong Li et al. International Journal of Applied Earth Observation and Geoinformation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wesley Nunes Gonçalves Brazil	30	1.2k	1.1k	1.0k	617	397	121	3.3k
José Marcato Brazil	32	1.4k 1.1×	932 0.9×	1.3k 1.3×	576 0.9×	496 1.2×	152	3.5k
Paheding Sidike United States	21	1.7k 1.4×	1.2k 1.1×	1.2k 1.2×	431 0.7×	506 1.3×	53	4.2k
Bo Xu China	29	1.8k 1.4×	1.7k 1.6×	1.4k 1.3×	351 0.6×	387 1.0×	158	3.7k
Joaquim J. Sousa Portugal	27	1.3k 1.1×	1.0k 0.9×	1.2k 1.1×	243 0.4×	418 1.1×	170	3.5k
J. Senthilnath Singapore	28	1.1k 0.9×	557 0.5×	729 0.7×	423 0.7×	542 1.4×	111	3.5k
Yuhong He Canada	29	1.7k 1.4×	717 0.7×	825 0.8×	258 0.4×	849 2.1×	116	3.2k
Raul Morais Portugal	27	932 0.7×	1.3k 1.2×	682 0.7×	217 0.4×	258 0.6×	127	3.3k
François Waldner Belgium	25	1.4k 1.1×	563 0.5×	722 0.7×	600 1.0×	877 2.2×	51	3.1k
Emanuel Peres Portugal	24	1.1k 0.9×	959 0.9×	887 0.9×	288 0.5×	334 0.8×	133	2.9k
Lutz Plümer Germany	25	1.2k 1.0×	1.8k 1.7×	885 0.9×	224 0.4×	175 0.4×	83	3.9k

Countries citing papers authored by Wesley Nunes Gonçalves

Since Specialization

Citations

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

Fields of papers citing papers by Wesley Nunes Gonçalves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wesley Nunes Gonçalves. 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 Wesley Nunes Gonçalves. The network helps show where Wesley Nunes Gonçalves may publish in the future.

Co-authorship network of co-authors of Wesley Nunes Gonçalves

This figure shows the co-authorship network connecting the top 25 collaborators of Wesley Nunes Gonçalves. A scholar is included among the top collaborators of Wesley Nunes Gonçalves 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 Wesley Nunes Gonçalves. Wesley Nunes Gonçalves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gonçalves, Wesley Nunes, et al.. (2025). Measuring water ponding time, location and connectivity on soil surfaces using time-lapse images and deep learning. CATENA. 254. 108919–108919. 1 indexed citations

Pinheiro, Mayara Maezano Faita, Danielle Elis Garcia Furuya, Lucas Prado Osco, et al.. (2024). MAPEAMENTO DE RIOS EM IMAGENS RGB COM APRENDIZAGEM DE MÁQUINA SUPERVISIONADA.. Revista Tamoios. 20(1). 1 indexed citations

Gonçalves, Wesley Nunes, et al.. (2024). Exploring Synthetic Captions for Remote Sensing Vision-Text Foundational Models. Institutional Research Information System (Università degli Studi di Trento). 73–77.

Gonçalves, Wesley Nunes, et al.. (2023). DESCINet: A hierarchical deep convolutional neural network with skip connection for long time series forecasting. Expert Systems with Applications. 228. 120246–120246. 10 indexed citations

Osco, Lucas Prado, Qiusheng Wu, Wesley Nunes Gonçalves, et al.. (2023). The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot. International Journal of Applied Earth Observation and Geoinformation. 124. 103540–103540. 168 indexed citations breakdown →

Arruda, Mauro dos Santos de, Lucas Prado Osco, Diogo Nunes Gonçalves, et al.. (2022). Counting and locating high-density objects using convolutional neural network. Expert Systems with Applications. 195. 116555–116555. 14 indexed citations

Chen, Ziyi, Dilong Li, Dilong Li, et al.. (2022). Road extraction in remote sensing data: A survey. International Journal of Applied Earth Observation and Geoinformation. 112. 102833–102833. 123 indexed citations breakdown →

Marcato, José, José Augusto Correa Martins, Henrique Siqueira, et al.. (2022). A deep learning-based mobile application for tree species mapping in RGB images. International Journal of Applied Earth Observation and Geoinformation. 114. 103045–103045. 14 indexed citations

He, Hongjie, Ke Yang, Shusen Wang, et al.. (2021). Deep Learning Approaches to Spatial Downscaling of GRACE Terrestrial Water Storage Products Using EALCO Model Over Canada. Canadian Journal of Remote Sensing. 47(4). 657–675. 16 indexed citations

10.

Martins, José Augusto Correa, Keiller Nogueira, Lucas Prado Osco, et al.. (2021). Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning. Remote Sensing. 13(16). 3054–3054. 50 indexed citations

11.

Martins, José Augusto Correa, Wesley Nunes Gonçalves, Lucas Prado Osco, et al.. (2021). Machine learning and SLIC for Tree Canopies segmentation in urban areas. Ecological Informatics. 66. 101465–101465. 16 indexed citations

12.

Marcato, José, et al.. (2021). Assessment of CNN-Based Methods for Single Tree Detection on High-Resolution RGB Images in Urban Areas. 590–593. 2 indexed citations

13.

Miyoshi, Gabriela Takahashi, Mauro dos Santos de Arruda, Lucas Prado Osco, et al.. (2020). A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images. Remote Sensing. 12(8). 1294–1294. 77 indexed citations

14.

Mitishita, Edson Aparecido, Veraldo Liesenberg, Anderson Santos, et al.. (2020). ATSS Deep Learning-Based Approach to Detect Apple Fruits. Remote Sensing. 13(1). 54–54. 50 indexed citations

15.

Chen, Feng, Limin Yang, Chenxing Wang, et al.. (2020). Characterization of MSS Channel Reflectance and Derived Spectral Indices for Building Consistent Landsat 1–5 Data Record. IEEE Transactions on Geoscience and Remote Sensing. 58(12). 8967–8984. 9 indexed citations

16.

Furuya, Danielle Elis Garcia, Nayara Vasconcelos Estrabis, Mayara Maezano Faita Pinheiro, et al.. (2020). A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery. Remote Sensing. 12(24). 4086–4086. 24 indexed citations

17.

Martins, José Augusto Correa, et al.. (2019). Image Segmentation and Classification with SLIC Superpixel and Convolutional Neural Network in Forest Context. 6543–6546. 8 indexed citations

18.

Osco, Lucas Prado, Ana Paula Marques Ramos, Érika Akemi Saito Moriya, et al.. (2019). Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks. Remote Sensing. 11(23). 2797–2797. 46 indexed citations

19.

Fabbri, Ricardo, Wesley Nunes Gonçalves, Francisco J. P. Lopes, & Odemir Martinez Bruno. (2012). Multi-q pattern analysis: A case study in image classification. Physica A Statistical Mechanics and its Applications. 391(19). 4487–4496. 12 indexed citations

20.

Casanova, Dalcimar, João B. Florindo, Wesley Nunes Gonçalves, & Odemir Martinez Bruno. (2011). IFSC/USP at ImageCLEF 2011: Plant identication task. 9 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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