Fernando Bação

6.8k total citations · 4 hit papers
84 papers, 4.5k citations indexed

About

Fernando Bação is a scholar working on Artificial Intelligence, Information Systems and Media Technology. According to data from OpenAlex, Fernando Bação has authored 84 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 14 papers in Information Systems and 14 papers in Media Technology. Recurrent topics in Fernando Bação's work include Imbalanced Data Classification Techniques (19 papers), Machine Learning and Data Classification (8 papers) and Remote-Sensing Image Classification (8 papers). Fernando Bação is often cited by papers focused on Imbalanced Data Classification Techniques (19 papers), Machine Learning and Data Classification (8 papers) and Remote-Sensing Image Classification (8 papers). Fernando Bação collaborates with scholars based in Portugal, Canada and Brazil. Fernando Bação's co-authors include Georgios Douzas, Tiago Oliveira, Felix Last, Manuela Aparício, Yuyang Zhao, Frederico Cruz‐Jesus, Marco Paìnho, Francisco Moreira, Francisco Rego and Filipe X. Catry and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Fernando Bação

78 papers receiving 4.3k 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.

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE

2018 805 citations Fernando Bação et al. profile →
Effective data generation for imbalanced learning using conditional generative adversarial networks

2017 414 citations Fernando Bação et al. Expert Systems with Applications profile →
What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?

2020 339 citations Fernando Bação et al. profile →
Gamification: A key determinant of massive open online course (MOOC) success

2018 230 citations Manuela Aparício, Tiago Oliveira et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernando Bação Portugal	27	1.6k	559	539	480	467	84	4.5k
Mark Hansen United States	41	1.1k 0.7×	357 0.6×	732 1.4×	794 1.7×	576 1.2×	181	8.3k
Ramesh Sharda United States	32	1.5k 1.0×	626 1.1×	587 1.1×	205 0.4×	92 0.2×	139	6.7k
Martha C. Cooper United States	23	1.3k 0.8×	385 0.7×	568 1.1×	113 0.2×	222 0.5×	40	11.7k
Virginia Dignum Netherlands	25	1.9k 1.2×	176 0.3×	967 1.8×	207 0.4×	153 0.3×	201	6.0k
Yukun Bao China	46	1.1k 0.7×	1.3k 2.3×	839 1.6×	950 2.0×	67 0.1×	119	5.7k
S. C. Sharma India	26	603 0.4×	200 0.4×	379 0.7×	512 1.1×	185 0.4×	143	5.4k
A.G. López‐Herrera Spain	21	819 0.5×	242 0.4×	886 1.6×	106 0.2×	216 0.5×	41	6.0k
Lin Wang China	43	1.9k 1.2×	213 0.4×	615 1.1×	2.0k 4.1×	149 0.3×	225	7.8k
Ching‐Hsue Cheng Taiwan	43	1.5k 1.0×	147 0.3×	356 0.7×	487 1.0×	125 0.3×	211	8.3k
Nor Badrul Anuar Malaysia	45	2.0k 1.3×	352 0.6×	464 0.9×	790 1.6×	91 0.2×	144	8.1k

Countries citing papers authored by Fernando Bação

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Bação

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Bação

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bação, Fernando, et al.. (2025). Machine learning methods for detecting smart contracts vulnerabilities within Ethereum blockchain − A review. Expert Systems with Applications. 268. 126353–126353. 6 indexed citations

António, Nuno, et al.. (2025). Effectiveness in retrieving legal precedents: exploring text summarization and cutting-edge language models toward a cost-efficient approach. Artificial Intelligence and Law. 1 indexed citations

Prieto, Samuel A., et al.. (2025). Weighted adaptive active transfer learning for imbalanced multi-object classification in construction site imagery. Automation in Construction. 176. 106297–106297.

Bação, Fernando, et al.. (2025). Counterfactual synthetic minority oversampling technique: solving healthcare's imbalanced learning challenge. SHILAP Revista de lepidopterología. 8(4). 436–446.

Bação, Fernando, et al.. (2024). Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models. International Journal of Information Management Data Insights. 4(2). 100256–100256. 4 indexed citations

Bação, Fernando, et al.. (2024). WSMOTER: a novel approach for imbalanced regression. Applied Intelligence. 54(19). 8789–8799. 5 indexed citations

Si, Haiping, et al.. (2024). A cross-chain access control mechanism based on blockchain and the threshold Paillier cryptosystem. Computer Communications. 223. 68–80. 2 indexed citations

Bação, Fernando, et al.. (2024). Topic Modeling: A Consistent Framework for Comparative Studies. Emerging Science Journal. 8(1). 125–139. 3 indexed citations

Vaz, Eric, et al.. (2023). Urban habitats and food insecurity: Lessons learned throughout a pandemic. Habitat International. 135. 102779–102779. 2 indexed citations

10.

Bação, Fernando, et al.. (2023). Tabular and latent space synthetic data generation: a literature review. Journal Of Big Data. 10(1). 59 indexed citations

11.

Pinheiro, Flávio L., et al.. (2023). Triplet extraction leveraging sentence transformers and dependency parsing. Array. 21. 100334–100334. 1 indexed citations

12.

Si, Haiping, et al.. (2023). A secure cross-domain interaction scheme for blockchain-based intelligent transportation systems. PeerJ Computer Science. 9. e1678–e1678. 2 indexed citations

13.

António, Nuno, et al.. (2023). Automation of Legal Precedents Retrieval: Findings from a Literature Review. International Journal of Intelligent Systems. 2023(1). 5 indexed citations

14.

Bação, Fernando, et al.. (2023). A numeric-based machine learning design for detecting organized retail fraud in digital marketplaces. Scientific Reports. 13(1). 12499–12499. 4 indexed citations

15.

Si, Haiping, et al.. (2023). Apple Surface Defect Detection Method Based on Weight Comparison Transfer Learning with MobileNetV3. Agriculture. 13(4). 824–824. 12 indexed citations

16.

Dias, Miguel Sales, et al.. (2021). Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review. ISPRS International Journal of Geo-Information. 10(2). 62–62. 40 indexed citations

17.

Vaz, Eric, et al.. (2021). Mumbai's business landscape: A spatial analytical approach to urbanisation. Heliyon. 7(7). e07522–e07522. 4 indexed citations

18.

Aparício, Manuela, Fernando Bação, & Tiago Oliveira. (2016). An e-Learning Theoretical Framework.. Educational Technology & Society. 19(1). 292–307. 182 indexed citations

19.

Bação, Fernando, et al.. (2013). Automatic Selection Of Training Areas Using Existing Land Cover Maps. 722. 184. 3 indexed citations

20.

Peeters, Luk, Fernando Bação, Victor Lobo, & Alain Dassargues. (2007). Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self-Organizing Map. Hydrology and earth system sciences. 11(4). 1309–1321. 50 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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