Estanislau Lima

694 total citations
18 papers, 493 citations indexed

About

Estanislau Lima is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Oceanography. According to data from OpenAlex, Estanislau Lima has authored 18 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 4 papers in Oceanography. Recurrent topics in Estanislau Lima's work include Handwritten Text Recognition Techniques (7 papers), Vehicle License Plate Recognition (6 papers) and Advanced Neural Network Applications (5 papers). Estanislau Lima is often cited by papers focused on Handwritten Text Recognition Techniques (7 papers), Vehicle License Plate Recognition (6 papers) and Advanced Neural Network Applications (5 papers). Estanislau Lima collaborates with scholars based in Brazil, China and Spain. Estanislau Lima's co-authors include Junyu Dong, Xin Sun, Yuting Yang, Xinhua Wang, Quanquan Mu, Byron Leite Dantas Bezerra, Alejandro H. Toselli, Lipeng Liu, Qiong Li and Hui Wang and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Estanislau Lima

16 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Estanislau Lima Brazil 10 192 184 101 99 79 18 493
Panagiotis Partsinevelos Greece 13 79 0.4× 134 0.7× 115 1.1× 86 0.9× 46 0.6× 39 485
Zhengwei Guo China 15 82 0.4× 83 0.5× 97 1.0× 72 0.7× 47 0.6× 65 704
Yingfei Liu China 9 77 0.4× 128 0.7× 143 1.4× 80 0.8× 97 1.2× 18 419
Ruyan Zhou China 12 54 0.3× 206 1.1× 60 0.6× 54 0.5× 84 1.1× 53 532
Baoxiang Huang China 19 176 0.9× 339 1.8× 38 0.4× 70 0.7× 202 2.6× 67 788
Kalpesh Patil Japan 11 183 1.0× 51 0.3× 151 1.5× 143 1.4× 39 0.5× 16 372
Shihao Sun China 6 43 0.2× 96 0.5× 85 0.8× 64 0.6× 88 1.1× 12 457
Wenjie Liu China 8 38 0.2× 158 0.9× 91 0.9× 66 0.7× 120 1.5× 29 423

Countries citing papers authored by Estanislau Lima

Since Specialization
Citations

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

Fields of papers citing papers by Estanislau Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Estanislau Lima

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

All Works

18 of 18 papers shown
1.
Schoening, Timm, et al.. (2023). PlasPi TDM: Augmentation of a low-cost camera platform for advanced underwater physical-ecological observations. HardwareX. 15. e00470–e00470. 1 indexed citations
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Bezerra, Byron Leite Dantas, et al.. (2022). A robust handwritten recognition system for learning on different data restriction scenarios. Pattern Recognition Letters. 159. 232–238. 9 indexed citations
4.
Bezerra, Byron Leite Dantas, et al.. (2020). HTR-Flor++. 1–4. 6 indexed citations
5.
Bastos-Filho, Carmelo J. A., et al.. (2020). Counting Vehicle with High-Precision in Brazilian Roads Using YOLOv3 and Deep SORT. 69–76. 18 indexed citations
6.
Lima, Estanislau, et al.. (2020). HU‐PageScan: a fully convolutional neural network for document page crop. IET Image Processing. 14(15). 3890–3898. 8 indexed citations
7.
Bezerra, Byron Leite Dantas, et al.. (2020). HDSR-Flor: A Robust End-to-End System to Solve the Handwritten Digit String Recognition Problem in Real Complex Scenarios. IEEE Access. 8. 208543–208553. 18 indexed citations
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Bezerra, Byron Leite Dantas, et al.. (2020). HTR-Flor: A Deep Learning System for Offline Handwritten Text Recognition. 54–61. 29 indexed citations
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Lima, Estanislau, et al.. (2019). Lightweight and efficient octave convolutional neural network for fire recognition. abs 1512 3385. 1–6. 7 indexed citations
13.
Fernandes, Bruno, et al.. (2019). Automatic Optical Inspection for Defective PCB Detection Using Transfer Learning. 1–6. 25 indexed citations
14.
Sun, Xin, Changgang Wang, Junyu Dong, Estanislau Lima, & Yuting Yang. (2018). A Multiscale Deep Framework for Ocean Fronts Detection and Fine-Grained Location. IEEE Geoscience and Remote Sensing Letters. 16(2). 178–182. 19 indexed citations
15.
Sun, Xin, et al.. (2018). Deep pixel‐to‐pixel network for underwater image enhancement and restoration. IET Image Processing. 13(3). 469–474. 65 indexed citations
16.
Yang, Yuting, Junyu Dong, Xin Sun, et al.. (2017). A CFCC-LSTM Model for Sea Surface Temperature Prediction. IEEE Geoscience and Remote Sensing Letters. 15(2). 207–211. 206 indexed citations
17.
Lima, Estanislau, Xin Sun, Yuting Yang, & Junyu Dong. (2017). Application of deep convolutional neural networks for ocean front recognition. Journal of Applied Remote Sensing. 11(4). 1–1. 13 indexed citations
18.
Lima, Estanislau, Xin Sun, Junyu Dong, et al.. (2017). Learning and Transferring Convolutional Neural Network Knowledge to Ocean Front Recognition. IEEE Geoscience and Remote Sensing Letters. 14(3). 354–358. 61 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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