Ferrante Neri

9.6k total citations · 2 hit papers
174 papers, 6.9k citations indexed

About

Ferrante Neri is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Ferrante Neri has authored 174 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Artificial Intelligence, 51 papers in Computational Theory and Mathematics and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Ferrante Neri's work include Metaheuristic Optimization Algorithms Research (89 papers), Evolutionary Algorithms and Applications (68 papers) and Advanced Multi-Objective Optimization Algorithms (50 papers). Ferrante Neri is often cited by papers focused on Metaheuristic Optimization Algorithms Research (89 papers), Evolutionary Algorithms and Applications (68 papers) and Advanced Multi-Objective Optimization Algorithms (50 papers). Ferrante Neri collaborates with scholars based in United Kingdom, China and Finland. Ferrante Neri's co-authors include Ville Tirronen, Carlos Cotta, Ernesto Mininno, Gexiang Zhang, Giovanni Iacca, Fabio Caraffini, Yu Xue, Matthieu Weber, Shahin Rostami and Andrea Caponio and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Information Sciences.

In The Last Decade

Ferrante Neri

157 papers receiving 6.7k citations

Hit Papers

Recent advances in differential evolution: a survey and e... 2009 2026 2014 2020 2009 2011 200 400 600
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.

  1. Recent advances in differential evolution: a survey and experimental analysis
    2009 691 citations Ferrante Neri et al. profile →
  2. Memetic algorithms and memetic computing optimization: A literature review
    2011 478 citations Ferrante Neri et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferrante Neri United Kingdom 44 4.4k 2.8k 851 805 661 174 6.9k
Michael N. Vrahatis Greece 40 4.0k 0.9× 2.0k 0.7× 953 1.1× 245 0.3× 650 1.0× 207 7.3k
Hans-Georg Beyer Austria 30 3.8k 0.9× 2.9k 1.0× 527 0.6× 280 0.3× 348 0.5× 120 6.6k
Shahryar Rahnamayan Canada 33 4.8k 1.1× 2.8k 1.0× 800 0.9× 187 0.2× 704 1.1× 194 6.8k
Jouni Lampinen Finland 21 3.9k 0.9× 2.6k 0.9× 973 1.1× 203 0.3× 465 0.7× 63 6.9k
Janez Brest Slovenia 30 4.7k 1.1× 3.0k 1.1× 733 0.9× 168 0.2× 611 0.9× 97 6.6k
Manuel Lozano Spain 38 4.3k 1.0× 2.3k 0.8× 516 0.6× 187 0.2× 536 0.8× 86 6.4k
Esmat Rashedi Iran 19 4.4k 1.0× 1.9k 0.7× 1.6k 1.9× 205 0.3× 1.1k 1.6× 45 7.6k
Wolfgang Banzhaf Canada 36 4.6k 1.1× 1.1k 0.4× 358 0.4× 1.8k 2.2× 638 1.0× 231 7.7k
Bernhard Sendhoff Germany 34 4.3k 1.0× 4.5k 1.6× 403 0.5× 206 0.3× 315 0.5× 165 7.7k
Joaquín Derrac Spain 17 3.9k 0.9× 1.8k 0.7× 564 0.7× 198 0.2× 905 1.4× 21 5.7k

Countries citing papers authored by Ferrante Neri

Since Specialization
Citations

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

Fields of papers citing papers by Ferrante Neri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferrante Neri

This figure shows the co-authorship network connecting the top 25 collaborators of Ferrante Neri. A scholar is included among the top collaborators of Ferrante Neri 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 Ferrante Neri. Ferrante Neri 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.
Sun, Xiaoyi, et al.. (2025). Grouped convolution dual-attention network for time series forecasting of water temperature in offshore aquaculture net pen. Expert Systems with Applications. 278. 127438–127438.
2.
Xue, Yu, et al.. (2025). Surrogate-assisted evolutionary neural architecture search based on smart-block discovery. Expert Systems with Applications. 277. 127237–127237. 1 indexed citations
3.
Xue, Yu, et al.. (2025). Score Predictor-Assisted Evolutionary Neural Architecture Search. IEEE Transactions on Emerging Topics in Computational Intelligence. 1–15. 6 indexed citations
4.
5.
Neri, Ferrante, et al.. (2025). YOLO-ACR: A new architecture for real-time object detection with advanced feature fusion and bounding box regression. Knowledge-Based Systems. 326. 114052–114052. 1 indexed citations
6.
Neri, Ferrante, et al.. (2025). Cyberbullying Detection via Aggression-Enhanced Prompting. 2025. 1044–1052.
7.
Zhang, Y.X., Yu Xue, & Ferrante Neri. (2024). Multi-Optimiser Training for GANs Based on Evolutionary Computation. 27. 1–8.
8.
Liu, Xingyang, Haina Rong, Ferrante Neri, et al.. (2024). Human-Simulated Intelligent Walking Control for Biped Robots. IEEE Transactions on Automation Science and Engineering. 22. 3237–3251.
9.
Neri, Ferrante, et al.. (2024). A Generalized Attention Mechanism to Enhance the Accuracy Performance of Neural Networks. International Journal of Neural Systems. 34(12). 2450063–2450063. 5 indexed citations
10.
Xue, Yu, et al.. (2024). A Gradient-Guided Evolutionary Neural Architecture Search. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4345–4357. 22 indexed citations
11.
Wang, Kaizheng, et al.. (2024). A Cloud Detection Network Based on Adaptive Laplacian Coordination Enhanced Cross-Feature U-Net. International Journal of Neural Systems. 35(2). 2550005–2550005.
12.
Kanojia, Diptesh, et al.. (2024). Decoding Cyberbullying on Social Media: A Machine Learning Exploration. 425–428. 1 indexed citations
13.
14.
Zhang, Gexiang, et al.. (2023). A data-driven optimisation method for a class of problems with redundant variables and indefinite objective functions. Information Sciences. 656. 119899–119899. 1 indexed citations
15.
Xue, Yu, et al.. (2023). Convolutional neural network pruning based on multi-objective feature map selection for image classification. Applied Soft Computing. 139. 110229–110229. 24 indexed citations
16.
Xue, Yu, et al.. (2023). A feature selection approach based on NSGA-II with ReliefF. Applied Soft Computing. 134. 109987–109987. 64 indexed citations
17.
18.
Zhou, Yuyang & Ferrante Neri. (2022). A Fitness Landscape Analysis of the LeNet-5 Loss Function. 40. 352–359. 1 indexed citations
19.
Zhang, Gexiang, Linqiang Pan, Ferrante Neri, Maoguo Gong, & Alberto Leporati. (2017). Metaheuristic Optimization: Algorithmic Design and Applications. 2017. 1–2. 4 indexed citations
20.
Labini, Mauro Sylos, et al.. (2004). A Study for Optimizing the Management Strategies of a Hybrid Photovoltaic-Diesel Power Generation System. Renewable Energy and Power Quality Journal. 1(2). 473–476. 4 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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