Julio-Alejandro Romero-González

2.6k total citations · 2 hit papers
21 papers, 1.2k citations indexed

About

Julio-Alejandro Romero-González is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Education. According to data from OpenAlex, Julio-Alejandro Romero-González has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Education. Recurrent topics in Julio-Alejandro Romero-González's work include Advanced Image and Video Retrieval Techniques (3 papers), Smart Agriculture and AI (3 papers) and Topic Modeling (2 papers). Julio-Alejandro Romero-González is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Smart Agriculture and AI (3 papers) and Topic Modeling (2 papers). Julio-Alejandro Romero-González collaborates with scholars based in Mexico, Colombia and United States. Julio-Alejandro Romero-González's co-authors include Diana‐Margarita Córdova‐Esparza, Juan Terven, Edgar Arturo Chávez‐Urbiola, José M. Álvarez-Alvarado, Juvenal Rodríguez‐Reséndiz, Sebastián Salazar-Colores, Juan B. Hurtado‐Ramos, Ma. Teresa García Ramírez, José‐Joel González‐Barbosa and Ilse Cervantes and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

In The Last Decade

Julio-Alejandro Romero-González

20 papers receiving 1.2k 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 Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

2023 1.1k citations Juan Terven, Diana‐Margarita Córdova‐Esparza et al. SHILAP Revista de lepidopterología profile →
A comprehensive survey of loss functions and metrics in deep learning

2025 28 citations Juan Terven, Diana‐Margarita Córdova‐Esparza et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julio-Alejandro Romero-González Mexico	6	467	176	159	156	114	21	1.2k
Diana‐Margarita Córdova‐Esparza Mexico	9	543 1.2×	186 1.1×	165 1.0×	181 1.2×	113 1.0×	40	1.4k
Juan Terven Mexico	11	564 1.2×	190 1.1×	168 1.1×	182 1.2×	124 1.1×	35	1.5k
Jierun Chen Hong Kong	3	607 1.3×	192 1.1×	224 1.4×	157 1.0×	107 0.9×	5	1.2k
Hao He China	5	618 1.3×	193 1.1×	226 1.4×	158 1.0×	110 1.0×	14	1.2k
Wen Song China	4	613 1.3×	192 1.1×	224 1.4×	157 1.0×	105 0.9×	11	1.2k
Weipeng Zhuo Hong Kong	7	628 1.3×	193 1.1×	226 1.4×	160 1.0×	131 1.1×	12	1.3k
Fangyao Liu China	8	585 1.3×	198 1.1×	220 1.4×	144 0.9×	156 1.4×	18	1.5k
Ying Cai China	10	698 1.5×	231 1.3×	229 1.4×	145 0.9×	172 1.5×	37	1.7k

Countries citing papers authored by Julio-Alejandro Romero-González

Since Specialization

Citations

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

Fields of papers citing papers by Julio-Alejandro Romero-González

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julio-Alejandro Romero-González. 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 Julio-Alejandro Romero-González. The network helps show where Julio-Alejandro Romero-González may publish in the future.

Co-authorship network of co-authors of Julio-Alejandro Romero-González

This figure shows the co-authorship network connecting the top 25 collaborators of Julio-Alejandro Romero-González. A scholar is included among the top collaborators of Julio-Alejandro Romero-González 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 Julio-Alejandro Romero-González. Julio-Alejandro Romero-González 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

Salazar-Colores, Sebastián, Juan Terven, José‐Joel González‐Barbosa, et al.. (2025). Deep Learning in Oral Hygiene: Automated Dental Plaque Detection via YOLO Frameworks and Quantification Using the O’Leary Index. Diagnostics. 15(2). 231–231. 5 indexed citations

Terven, Juan, et al.. (2025). A Technological Review of Digital Twins and Artificial Intelligence for Personalized and Predictive Healthcare. Healthcare. 13(14). 1763–1763. 4 indexed citations

Córdova‐Esparza, Diana‐Margarita, et al.. (2025). The Use of 3D Printing and ICT in the Designing of Didactic Strategies to Foster Creative Thinking. Multimodal Technologies and Interaction. 9(4). 35–35. 1 indexed citations

Córdova‐Esparza, Diana‐Margarita, et al.. (2025). Recent Developments in Image-Based 3D Reconstruction Using Deep Learning: Methodologies and Applications. Electronics. 14(15). 3032–3032. 1 indexed citations

Córdova‐Esparza, Diana‐Margarita, et al.. (2025). Predicting and Preventing School Dropout with Business Intelligence: Insights from a Systematic Review. Information. 16(4). 326–326. 1 indexed citations

Romero-González, Julio-Alejandro, et al.. (2025). Knowledge Management Strategies Supported by ICT for the Improvement of Teaching Practice: A Systematic Review. Information. 16(5). 414–414. 1 indexed citations

Terven, Juan, et al.. (2025). A comprehensive survey of loss functions and metrics in deep learning. Artificial Intelligence Review. 58(7). 28 indexed citations breakdown →

Córdova‐Esparza, Diana‐Margarita, et al.. (2024). Automatic grammatical tagger for a Spanish–Mixtec parallel corpus. SoftwareX. 29. 101985–101985.

Terven, Juan, Edgar Arturo Chávez‐Urbiola, Diana‐Margarita Córdova‐Esparza, et al.. (2024). IDAS: Intelligent Driving Assistance System Using RAG. IEEE Open Journal of Vehicular Technology. 5. 1139–1165. 4 indexed citations

10.

Córdova‐Esparza, Diana‐Margarita, et al.. (2024). Automatic Translation between Mixtec to Spanish Languages Using Neural Networks. Applied Sciences. 14(7). 2958–2958. 1 indexed citations

11.

Salazar-Colores, Sebastián, et al.. (2024). Nutritional Monitoring of Rhodena Lettuce via Neural Networks and Point Cloud Analysis. AgriEngineering. 6(3). 3474–3493. 5 indexed citations

12.

Córdova‐Esparza, Diana‐Margarita, et al.. (2024). Towards a Bidirectional Mexican Sign Language–Spanish Translation System: A Deep Learning Approach. SHILAP Revista de lepidopterología. 12(1). 7–7. 11 indexed citations

13.

Córdova‐Esparza, Diana‐Margarita, et al.. (2024). Trends in Machine and Deep Learning Techniques for Plant Disease Identification: A Systematic Review. Agriculture. 14(12). 2188–2188. 8 indexed citations

14.

Romero-González, Julio-Alejandro, Diana‐Margarita Córdova‐Esparza, Juan Terven, Ana M. Herrera-Navarro, & Hugo Jiménez‐Hernández. (2024). Background Subtraction for Dynamic Scenes Using Gabor Filter Bank and Statistical Moments. Algorithms. 17(4). 133–133. 1 indexed citations

15.

Córdova‐Esparza, Diana‐Margarita, et al.. (2024). Development of teaching digital competencies through virtual environments: a systematic review. SHILAP Revista de lepidopterología. 16(1). 142–161. 2 indexed citations

16.

Álvarez-Alvarado, José M., et al.. (2024). Metaheuristic Algorithms for Solar Radiation Prediction: A Systematic Analysis. IEEE Access. 12. 100134–100151. 11 indexed citations

17.

Córdova‐Esparza, Diana‐Margarita, et al.. (2024). Comparative Analysis of YOLO Models for Bean Leaf Disease Detection in Natural Environments. AgriEngineering. 6(4). 4585–4603. 3 indexed citations

18.

Córdova‐Esparza, Diana‐Margarita, et al.. (2024). Active Learning Strategies in Computer Science Education: A Systematic Review. Multimodal Technologies and Interaction. 8(6). 50–50. 4 indexed citations

19.

Terven, Juan, Diana‐Margarita Córdova‐Esparza, & Julio-Alejandro Romero-González. (2023). A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS. SHILAP Revista de lepidopterología. 5(4). 1680–1716. 1148 indexed citations breakdown →

20.

Córdova‐Esparza, Diana‐Margarita, et al.. (2020). Three-Dimensional Reconstruction of Indoor and Outdoor Environments Using a Stereo Catadioptric System. Applied Sciences. 10(24). 8851–8851. 6 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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