Francesco Bianconi

3.3k total citations · 1 hit paper
81 papers, 2.2k citations indexed

About

Francesco Bianconi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Francesco Bianconi has authored 81 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 20 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Francesco Bianconi's work include Image Retrieval and Classification Techniques (27 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). Francesco Bianconi is often cited by papers focused on Image Retrieval and Classification Techniques (27 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). Francesco Bianconi collaborates with scholars based in Italy, Spain and United Kingdom. Francesco Bianconi's co-authors include Antonio Fernández, Elena González, Jakob Nikolas Kather, Barbara Palumbo, Francesco Di Maria, Frank G. Zöllner, Timo Gaiser, Susanne Melchers, Alexander Marx and Lothar R. Schad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Francesco Bianconi

76 papers receiving 2.1k citations

Hit Papers

Multi-class texture analy... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Bianconi Italy 28 850 499 441 274 198 81 2.2k
Ruofeng Tong China 28 2.2k 2.6× 839 1.7× 774 1.8× 429 1.6× 167 0.8× 149 4.2k
Huimin Huang China 16 1.0k 1.2× 571 1.1× 649 1.5× 228 0.8× 85 0.4× 71 2.5k
Sanjay N. Talbar India 23 849 1.0× 687 1.4× 485 1.1× 180 0.7× 314 1.6× 116 2.0k
Mohammed Ghazal United Arab Emirates 28 685 0.8× 1.3k 2.7× 570 1.3× 109 0.4× 385 1.9× 318 3.3k
Md Zahangir Alom United States 16 1.1k 1.3× 950 1.9× 1.3k 3.0× 143 0.5× 119 0.6× 63 3.3k
Naoufel Werghi United Arab Emirates 28 1.4k 1.6× 517 1.0× 671 1.5× 133 0.5× 180 0.9× 255 2.5k
Moulay A. Akhloufi Canada 30 1.2k 1.4× 582 1.2× 590 1.3× 150 0.5× 181 0.9× 173 2.7k

Countries citing papers authored by Francesco Bianconi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Bianconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Bianconi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Bianconi. A scholar is included among the top collaborators of Francesco Bianconi 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 Francesco Bianconi. Francesco Bianconi 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.
Marongiu, Andrea, Angela Spanu, Barbara Palumbo, et al.. (2025). Artificial Intelligence in PET Imaging for Alzheimer’s Disease: A Narrative Review. Brain Sciences. 15(10). 1038–1038.
2.
Filippi, Luca, Francesco Bianconi, Flavia Linguanti, et al.. (2025). Digital versus analogue PET in parathyroid imaging: comparison of PET metrics and machine learning-based characterisation of hyperfunctioning lesions (the DIGI-PET study). European Journal of Nuclear Medicine and Molecular Imaging. 53(3). 2122–2130.
3.
Bianconi, Francesco, Mario Luca Fravolini, Luca Filippi, et al.. (2024). Radiomics Features from Positron Emission Tomography with [18F] Fluorodeoxyglucose Can Help Predict Cervical Nodal Status in Patients with Head and Neck Cancer. Cancers. 16(22). 3759–3759. 1 indexed citations
4.
Angelis, Alessio De, et al.. (2023). Battery SOC Estimation from Eis Data Based on Machine Learning and Equivalent Circuit Model. SSRN Electronic Journal. 1 indexed citations
6.
Angelis, Alessio De, et al.. (2022). LiBEIS : A software tool for broadband electrochemical impedance spectroscopy of lithium-ion batteries. Software Impacts. 14. 100447–100447. 6 indexed citations
7.
Bianconi, Francesco, Isabella Palumbo, Mario Luca Fravolini, et al.. (2022). Form Factors as Potential Imaging Biomarkers to Differentiate Benign vs. Malignant Lung Lesions on CT Scans. Sensors. 22(13). 5044–5044. 11 indexed citations
8.
Nuvoli, Susanna, Francesco Bianconi, Andrea Marongiu, et al.. (2022). Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on 18F-FDG PET/CT and Automated Classifiers. Diagnostics. 12(10). 2425–2425. 5 indexed citations
9.
Filippi, Luca, Francesco Bianconi, Orazio Schillaci, Angela Spanu, & Barbara Palumbo. (2022). The Role and Potential of 18F-FDG PET/CT in Malignant Melanoma: Prognostication, Monitoring Response to Targeted and Immunotherapy, and Radiomics. Diagnostics. 12(4). 929–929. 26 indexed citations
10.
Bianconi, Francesco, Mario Luca Fravolini, Isabella Palumbo, et al.. (2021). Impact of Lesion Delineation and Intensity Quantisation on the Stability of Texture Features from Lung Nodules on CT: A Reproducible Study. Diagnostics. 11(7). 1224–1224. 8 indexed citations
11.
Bianconi, Francesco, Isabella Palumbo, Angela Spanu, et al.. (2020). PET/CT Radiomics in Lung Cancer: An Overview. Applied Sciences. 10(5). 1718–1718. 42 indexed citations
12.
Palumbo, Barbara, Francesco Bianconi, Isabella Palumbo, et al.. (2020). Value of Shape and Texture Features from 18F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation. Diagnostics. 10(9). 696–696. 33 indexed citations
13.
Bianconi, Francesco, et al.. (2019). FROM THE INTEGRATED SURVEY OF HISTORIC SETTLEMENTS TO THE PATTERN BOOK WITHIN THE BIM. SHILAP Revista de lepidopterología. XLII-2/W9. 135–142. 4 indexed citations
14.
Bianconi, Francesco, et al.. (2018). Evaluation of visual descriptors for painting categorisation. IOP Conference Series Materials Science and Engineering. 364. 12037–12037. 8 indexed citations
16.
Maria, Francesco Di, et al.. (2015). Quality assessment for recycling aggregates from construction and demolition waste: An image-based approach for particle size estimation. Waste Management. 48. 344–352. 46 indexed citations
17.
Bianconi, Francesco, Elena González, & Antonio Fernández. (2015). Dominant local binary patterns for texture classification: Labelled or unlabelled?. Pattern Recognition Letters. 65. 8–14. 27 indexed citations
18.
Bianconi, Francesco & Antonio Fernández. (2014). Rotation invariant co-occurrence features based on digital circles and discrete Fourier transform. Pattern Recognition Letters. 48. 34–41. 22 indexed citations
19.
González, Elena, et al.. (2010). COLOUR AND TEXTURE FEATURES FOR IMAGE RETRIEVAL IN GRANITE INDUSTRY. SHILAP Revista de lepidopterología. 15 indexed citations
20.
Bianconi, Francesco. (2002). Bridging the gap between CAD and CAE using STL files. 2(1). 55–67. 23 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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