Andrea Bianchi

1.0k total citations
72 papers, 720 citations indexed

About

Andrea Bianchi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Andrea Bianchi has authored 72 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 20 papers in Mechanical Engineering. Recurrent topics in Andrea Bianchi's work include AI in cancer detection (20 papers), Digital Imaging for Blood Diseases (12 papers) and Cervical Cancer and HPV Research (10 papers). Andrea Bianchi is often cited by papers focused on AI in cancer detection (20 papers), Digital Imaging for Blood Diseases (12 papers) and Cervical Cancer and HPV Research (10 papers). Andrea Bianchi collaborates with scholars based in Brazil, United States and Portugal. Andrea Bianchi's co-authors include Daniela Ushizima, Cláudia Martins Carneiro, Mariana T. Rezende, Fátima N. S. de Medeiros, Flávio H. D. Araújo, Romuere Silva, Zhi Lu, Masoud S. Nosrati, Ghassan Hamarneh and Andrew P. Bradley and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Polymer.

In The Last Decade

Andrea Bianchi

64 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Bianchi Brazil 14 360 265 176 120 94 72 720
Xiaoyu He China 12 144 0.4× 89 0.3× 59 0.3× 37 0.3× 66 0.7× 53 507
Mohamed M. Fouad Egypt 9 306 0.8× 220 0.8× 129 0.7× 47 0.4× 14 0.1× 49 618
Shanshan Lv China 12 195 0.5× 76 0.3× 42 0.2× 58 0.5× 139 1.5× 35 568
Joanna Jaworek-Korjakowska Poland 18 334 0.9× 190 0.7× 93 0.5× 116 1.0× 23 0.2× 45 812
Jinke Wang China 14 181 0.5× 239 0.9× 26 0.1× 240 2.0× 16 0.2× 53 728
José Silvestre Silva Portugal 12 60 0.2× 144 0.5× 61 0.3× 144 1.2× 120 1.3× 48 504
Dakun Zhang China 12 71 0.2× 85 0.3× 74 0.4× 40 0.3× 21 0.2× 52 513
Hiroshi Nagahashi Japan 12 146 0.4× 256 1.0× 13 0.1× 51 0.4× 29 0.3× 87 606
Yu Qiao China 15 134 0.4× 233 0.9× 21 0.1× 113 0.9× 9 0.1× 56 827
Giuseppe Di Leo Italy 16 191 0.5× 216 0.8× 40 0.2× 14 0.1× 135 1.4× 63 810

Countries citing papers authored by Andrea Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Bianchi

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Bianchi. A scholar is included among the top collaborators of Andrea Bianchi 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 Andrea Bianchi. Andrea Bianchi 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.
Carneiro, Cláudia Martins, et al.. (2024). Trajectory-driven computational analysis for element characterization in Trypanosoma cruzi video microscopy. PLoS ONE. 19(6). e0304716–e0304716. 1 indexed citations
2.
Bianchi, Andrea, et al.. (2023). An Automatic Ant Counting and Distribution Estimation System Using Convolutional Neural Networks. 547–554. 1 indexed citations
3.
Carneiro, Cláudia Martins, et al.. (2023). Trypanosoma cruzi Detection using LSTM Convolutional Autoencoder. 443–454. 2 indexed citations
4.
Oliveira, Ricardo, et al.. (2023). Towards a Novel Edge AI System for Particle Size Detection in Mineral Processing Plants. 312–323. 3 indexed citations
5.
Muscas, Giovanni, et al.. (2023). A Diffusion Tensor Imaging–Based Prognostic Classification for Surgery of Intrinsic Lesions Involving the Motor Pathways. World Neurosurgery. 172. e565–e573. 1 indexed citations
6.
Rezende, Mariana T., Andrea Bianchi, Cláudia Martins Carneiro, et al.. (2022). A Cytopathologist Eye Assistant for Cell Screening. SHILAP Revista de lepidopterología. 2(4). 659–674.
7.
Vogado, Luis H. S., et al.. (2022). DFU-VGG, a Novel and Improved VGG-19 Network for Diabetic Foot Ulcer Classification. 1–4. 6 indexed citations
8.
Rezende, Mariana T., et al.. (2022). Perceptions on the Use of an Online Tool in the Teaching-learning Process in Microscopy. 325–331. 1 indexed citations
9.
Bianchi, Andrea, et al.. (2021). An ensemble method for nuclei detection of overlapping cervical cells. Expert Systems with Applications. 185. 115642–115642. 13 indexed citations
10.
Bianchi, Andrea, et al.. (2021). Deep Learning Approach at the Edge to Detect Iron Ore Type. Sensors. 22(1). 169–169. 4 indexed citations
11.
Bianchi, Andrea, et al.. (2021). Wearable Edge AI Applications for Ecological Environments. Sensors. 21(15). 5082–5082. 10 indexed citations
12.
Rezende, Mariana T., et al.. (2021). Cric searchable image database as a public platform for conventional pap smear cytology data. Scientific Data. 8(1). 151–151. 33 indexed citations
13.
Rezende, Mariana T., Andrea Bianchi, Cláudia Martins Carneiro, et al.. (2021). A Hierarchical Feature-Based Methodology to Perform Cervical Cancer Classification. Applied Sciences. 11(9). 4091–4091. 24 indexed citations
14.
Rezende, Mariana T., Andrea Bianchi, Cláudia Martins Carneiro, et al.. (2021). A Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification. Journal of Imaging. 7(7). 111–111. 38 indexed citations
15.
Rezende, Mariana T., Andrea Bianchi, & Cláudia Martins Carneiro. (2021). Cervical cancer: Automation of Pap test screening. Diagnostic Cytopathology. 49(4). 559–574. 22 indexed citations
16.
17.
Araújo, Flávio H. D., Romuere Silva, Daniela Ushizima, et al.. (2019). Deep learning for cell image segmentation and ranking. Computerized Medical Imaging and Graphics. 72. 13–21. 87 indexed citations
18.
Ramalho, Geraldo L. B., Mariana T. Rezende, F.N.S. Medeiros, et al.. (2019). Saliency-driven system models for cell analysis with deep learning. Computer Methods and Programs in Biomedicine. 182. 105053–105053. 4 indexed citations
19.
Azpúrua, Héctor, et al.. (2019). Deep Learning-Based Object Detection for Digital Inspection in the Mining Industry. 14 indexed citations
20.
Vasconcelos, Cláudia Karina Barbosa de, et al.. (2009). A Novel and Low-Cost Disposable Device for Phototherapy of Neonatal Jaundice. MRS Proceedings. 1209. 5 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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