Martin Ferianc

539 total citations
22 papers, 273 citations indexed

About

Martin Ferianc is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Martin Ferianc has authored 22 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Martin Ferianc's work include Advanced Neural Network Applications (11 papers), Adversarial Robustness in Machine Learning (7 papers) and CCD and CMOS Imaging Sensors (5 papers). Martin Ferianc is often cited by papers focused on Advanced Neural Network Applications (11 papers), Adversarial Robustness in Machine Learning (7 papers) and CCD and CMOS Imaging Sensors (5 papers). Martin Ferianc collaborates with scholars based in United Kingdom, China and Slovakia. Martin Ferianc's co-authors include Hongxiang Fan, Wayne Luk, Xinyu Niu, Shuanglong Liu, Zhiqiang Que, Miguel R. D. Rodrigues, Сhen Liu, Ho-Cheung Ng, Chuling Fang and Hui Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Pharmaceutics.

In The Last Decade

Martin Ferianc

20 papers receiving 268 citations

Peers

Martin Ferianc

CVPR

EEE

PRM

Jongpil Lee South Korea

Pradhumna Lal Shrestha United States

Xiaoyu Ma China

Janos L. Grantner United States

Zhenglun Kong United States

David Castells‐Rufas Spain

Guangming Lu China

Zeqing Li China

Kiran Sultan Saudi Arabia

Guangsen Wang China

Jongpil Lee South Korea

Martin Ferianc

148 ×1.3

CVPR

105 ×1.1

EEE

120 ×1.3

20 ×0.6

PRM

13 ×0.5

Citations per year, relative to Martin Ferianc Martin Ferianc (= 1×) peers Jongpil Lee

Countries citing papers authored by Martin Ferianc

Since Specialization

Citations

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

Fields of papers citing papers by Martin Ferianc

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Ferianc

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Ferianc. A scholar is included among the top collaborators of Martin Ferianc 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 Martin Ferianc. Martin Ferianc 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

Abdalla, Youssef, Martin Ferianc, Atheer Awad, et al.. (2025). A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations. Advanced Intelligent Systems. 7(11). 2 indexed citations

Papčo, Juraj, et al.. (2024). Satellite-based InSAR Geodesy and Collocation with GNSS. Procedia Computer Science. 239. 2329–2340.

Ferianc, Martin, et al.. (2024). Learning-based MPC with uncertainty estimation for resilient microgrid energy management. IFAC-PapersOnLine. 58(4). 556–561. 2 indexed citations

Ferianc, Martin, et al.. (2024). Online End-to-End Learning-Based Predictive Control for Microgrid Energy Management. IEEE Transactions on Control Systems Technology. 33(2). 463–478. 3 indexed citations

Abdalla, Youssef, Martin Ferianc, Atheer Awad, et al.. (2024). Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine. International Journal of Pharmaceutics. 661. 124440–124440. 14 indexed citations

Ferianc, Martin & Miguel R. D. Rodrigues. (2023). MIMMO: Multi-Input Massive Multi-Output Neural Network. 4564–4569. 2 indexed citations

Fan, Hongxiang, Martin Ferianc, Zhiqiang Que, et al.. (2022). Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations. IEEE Transactions on Parallel and Distributed Systems. 33(12). 3387–3399. 4 indexed citations

Fan, Hongxiang, Martin Ferianc, Zhiqiang Que, et al.. (2022). FPGA-Based Acceleration for Bayesian Convolutional Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(12). 5343–5356. 26 indexed citations

Fan, Hongxiang, Martin Ferianc, Zhiqiang Que, et al.. (2022). Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. 250–255. 10 indexed citations

10.

Fan, Hongxiang, Martin Ferianc, & Wayne Luk. (2022). Enabling fast uncertainty estimation. Proceedings of the 59th ACM/IEEE Design Automation Conference. 325–330.

11.

Ferianc, Martin, Zhiqiang Que, Hongxiang Fan, Wayne Luk, & Miguel R. D. Rodrigues. (2021). Optimizing Bayesian Recurrent Neural Networks on an FPGA-based \n Accelerator. UCL Discovery (University College London). 5 indexed citations

12.

Fang, Chuling, Hui Huang, Yujia Feng, et al.. (2021). Whole-exome sequencing identifies susceptibility genes and pathways for idiopathic pulmonary fibrosis in the Chinese population. Scientific Reports. 11(1). 1443–1443. 4 indexed citations

13.

Fan, Hongxiang, Martin Ferianc, Miguel R. D. Rodrigues, et al.. (2021). High-Performance FPGA-based Accelerator for Bayesian Neural Networks. 1063–1068. 17 indexed citations

14.

Ferianc, Martin, et al.. (2021). Improving Performance Estimation for Design Space Exploration for Convolutional Neural Network Accelerators. Electronics. 10(4). 520–520. 7 indexed citations

15.

Fang, Chuling, Hui Huang, Qian Zhang, et al.. (2020). Relation between sex hormones and leucocyte telomere length in men with idiopathic pulmonary fibrosis. Respirology. 25(12). 1265–1273. 17 indexed citations

16.

Fang, Chuling, Hui Huang, Jian Guo, Martin Ferianc, & Zuojun Xu. (2020). Real-world experiences: Efficacy and tolerability of pirfenidone in clinical practice. PLoS ONE. 15(1). e0228390–e0228390. 19 indexed citations

17.

Fan, Hongxiang, Martin Ferianc, Shuanglong Liu, et al.. (2020). Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search. 465–468. 6 indexed citations

18.

Fan, Hongxiang, Cheng Luo, Martin Ferianc, et al.. (2019). F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition. 1–8. 39 indexed citations

19.

Fan, Hongxiang, et al.. (2019). Static Block Floating-Point Quantization for Convolutional Neural Networks on FPGA. 28–35. 8 indexed citations

20.

Fan, Hongxiang, Shuanglong Liu, Martin Ferianc, et al.. (2018). A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA. 14–21. 57 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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