Ivan Cruz‐Aceves

1.1k total citations
52 papers, 656 citations indexed

About

Ivan Cruz‐Aceves is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Ivan Cruz‐Aceves has authored 52 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Computer Vision and Pattern Recognition and 7 papers in Ophthalmology. Recurrent topics in Ivan Cruz‐Aceves's work include Retinal Imaging and Analysis (22 papers), Medical Image Segmentation Techniques (20 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Ivan Cruz‐Aceves is often cited by papers focused on Retinal Imaging and Analysis (22 papers), Medical Image Segmentation Techniques (20 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). Ivan Cruz‐Aceves collaborates with scholars based in Mexico, Germany and United States. Ivan Cruz‐Aceves's co-authors include Juan Gabriel Avina‐Cervantes, José Ruiz-Pinales, Arturo Hernández-Aguirre, Sebastián Salazar-Colores, Sergio Solorio, Martha Alicia Hernández-Gonzalez, Sergio Ledesma, Claire Chalopin, René de Jesús Romero-Troncoso and Arturo García-Pérez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Ivan Cruz‐Aceves

46 papers receiving 640 citations

Peers

Ivan Cruz‐Aceves
Stephen Chang Singapore
Chenchu Xu China
Amin Katouzian Germany
Michal Sofka United States
Chaolu Feng China
Mohammed Yusuf Ansari Qatar
Stefanie Demirci Germany
Xiaowei Ding China
İlkay Öksüz Türkiye
Shanhui Sun United States
Stephen Chang Singapore
Ivan Cruz‐Aceves
Citations per year, relative to Ivan Cruz‐Aceves Ivan Cruz‐Aceves (= 1×) peers Stephen Chang

Countries citing papers authored by Ivan Cruz‐Aceves

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Cruz‐Aceves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Cruz‐Aceves. 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 Ivan Cruz‐Aceves. The network helps show where Ivan Cruz‐Aceves may publish in the future.

Co-authorship network of co-authors of Ivan Cruz‐Aceves

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Cruz‐Aceves. A scholar is included among the top collaborators of Ivan Cruz‐Aceves 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 Ivan Cruz‐Aceves. Ivan Cruz‐Aceves 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
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Cruz‐Aceves, Ivan, Arturo Hernández-Aguirre, Ernesto Moya-Albor, et al.. (2024). High-Dimensional Feature Selection for Automatic Classification of Coronary Stenosis Using an Evolutionary Algorithm. Diagnostics. 14(3). 268–268. 3 indexed citations
4.
Cruz‐Aceves, Ivan, et al.. (2024). Improving Automatic Coronary Stenosis Classification Using a Hybrid Metaheuristic with Diversity Control. Diagnostics. 14(21). 2372–2372. 2 indexed citations
5.
Bhattacharyya, Siddhartha, et al.. (2024). Intelligent Quantum Information Processing. 2 indexed citations
6.
Avina‐Cervantes, Juan Gabriel, et al.. (2023). Quantum angle encoding with learnable rotation applied to quantum–classical convolutional neural networks. Applied Soft Computing. 141. 110307–110307. 22 indexed citations
7.
Chalopin, Claire, et al.. (2023). Automatic Classification of Coronary Stenosis Using Feature Selection and a Hybrid Evolutionary Algorithm. Axioms. 12(5). 462–462. 2 indexed citations
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Hernández-Gonzalez, Martha Alicia, et al.. (2023). [Atherogenic index and its association with acute coronary ischemic syndrome mortality].. PubMed. 61(Suppl 2). S226–S232. 1 indexed citations
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Avina‐Cervantes, Juan Gabriel, et al.. (2022). Attention Mechanisms Evaluated on Stenosis Detection using X-ray Angiography Images. 9. 62–75. 2 indexed citations
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Avina‐Cervantes, Juan Gabriel, et al.. (2022). LRSE-Net: Lightweight Residual Squeeze-and-Excitation Network for Stenosis Detection in X-ray Coronary Angiography. Electronics. 11(21). 3570–3570. 10 indexed citations
11.
Avina‐Cervantes, Juan Gabriel, et al.. (2022). Improving convolutional neural network learning based on a hierarchical bezier generative model for stenosis detection in X-ray images. Computer Methods and Programs in Biomedicine. 219. 106767–106767. 15 indexed citations
12.
Avina‐Cervantes, Juan Gabriel, et al.. (2021). Hybrid classical–quantum Convolutional Neural Network for stenosis detection in X-ray coronary angiography. Expert Systems with Applications. 189. 116112–116112. 51 indexed citations
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Guryev, Igor V., et al.. (2021). Automatic Feature Selection for Stenosis Detection in X-ray Coronary Angiograms. Mathematics. 9(19). 2471–2471. 8 indexed citations
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Avina‐Cervantes, Juan Gabriel, et al.. (2020). Transfer Learning for Stenosis Detection in X-ray Coronary Angiography. Mathematics. 8(9). 1510–1510. 39 indexed citations
16.
Cruz‐Aceves, Ivan, et al.. (2017). Coronary artery segmentation in X-ray angiograms using gabor filters and differential evolution. Applied Radiation and Isotopes. 138. 18–24. 14 indexed citations
17.
Cruz‐Aceves, Ivan, et al.. (2016). Segmentation of Coronary Angiograms Using Gabor Filters and Boltzmann Univariate Marginal Distribution Algorithm. Computational Intelligence and Neuroscience. 2016. 1–9. 10 indexed citations
18.
Avina‐Cervantes, Juan Gabriel, et al.. (2016). Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data. Sensors. 16(4). 497–497. 11 indexed citations
19.
Cruz‐Aceves, Ivan, Juan Gabriel Avina‐Cervantes, Horacio Rostro‐González, et al.. (2013). Multiple Active Contours Guided by Differential Evolution for Medical Image Segmentation. Computational and Mathematical Methods in Medicine. 2013. 1–14. 10 indexed citations
20.
Cruz‐Aceves, Ivan, et al.. (2013). Multiple Active Contours Driven by Particle Swarm Optimization for Cardiac Medical Image Segmentation. Computational and Mathematical Methods in Medicine. 2013. 1–13. 16 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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