Jakub Siłka

1.2k total citations · 1 hit paper
14 papers, 876 citations indexed

About

Jakub Siłka is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jakub Siłka has authored 14 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jakub Siłka's work include COVID-19 diagnosis using AI (3 papers), Anomaly Detection Techniques and Applications (3 papers) and COVID-19 epidemiological studies (2 papers). Jakub Siłka is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Anomaly Detection Techniques and Applications (3 papers) and COVID-19 epidemiological studies (2 papers). Jakub Siłka collaborates with scholars based in Poland, Saudi Arabia and Netherlands. Jakub Siłka's co-authors include Marcin Woźniak, Michał Wieczorek, Mubarak Alrashoud, Mohammad Mehedi Hassan, Sahil Garg, Dawid Połap, Zongwen Bai, Qiao Ke and Robertas Damaševičius and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Jakub Siłka

12 papers receiving 845 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.

BiLSTM deep neural network model for imbalanced medical data of IoT systems

2022 105 citations Marcin Woźniak, Michał Wieczorek et al. Future Generation Computer Systems profile →

Peers

Jakub Siłka

CVPR

AI

RNMI

NEURO

CNC

Michał Wieczorek Poland

Madallah Alruwaili Saudi Arabia

Abdussalam Elhanashi Italy

Sultan Almotairi Saudi Arabia

Mohamed Hamed N. Taha Egypt

V. Muthukumaran India

Mahmoud Ragab Saudi Arabia

M. Rubaiyat Hossain Mondal Bangladesh

Hani Alquhayz Saudi Arabia

Sharaf J. Malebary Saudi Arabia

Michał Wieczorek Poland

Jakub Siłka

326 ×1.0

CVPR

305 ×1.0

AI

156 ×1.0

RNMI

106 ×1.0

NEURO

74 ×1.0

CNC

Citations per year, relative to Jakub Siłka Jakub Siłka (= 1×) peers Michał Wieczorek

Countries citing papers authored by Jakub Siłka

Since Specialization

Citations

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

Fields of papers citing papers by Jakub Siłka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Siłka

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

All Works

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14 of 14 papers shown

1.

Siłka, Jakub, et al.. (2025). Automated Test Generation Using Large Language Models. Data. 10(10). 156–156.

2.

Wieczorek, Michał, et al.. (2023). Malaria Detection Using Advanced Deep Learning Architecture. Sensors. 23(3). 1501–1501. 57 indexed citations

3.

Woźniak, Marcin, Michał Wieczorek, & Jakub Siłka. (2022). BiLSTM deep neural network model for imbalanced medical data of IoT systems. Future Generation Computer Systems. 141. 489–499. 105 indexed citations breakdown →

4.

Woźniak, Marcin, Michał Wieczorek, & Jakub Siłka. (2022). Deep neural network with transfer learning in remote object detection from drone. 121–126. 36 indexed citations

5.

Ke, Qiao, Jakub Siłka, Michał Wieczorek, Zongwen Bai, & Marcin Woźniak. (2022). Deep Neural Network Heuristic Hierarchization for Cooperative Intelligent Transportation Fleet Management. IEEE Transactions on Intelligent Transportation Systems. 23(9). 16752–16762. 29 indexed citations

6.

Siłka, Jakub, Michał Wieczorek, & Marcin Woźniak. (2022). Recurrent neural network model for high-speed train vibration prediction from time series. Neural Computing and Applications. 34(16). 13305–13318. 56 indexed citations

7.

Wieczorek, Michał, Jakub Siłka, Marcin Woźniak, Sahil Garg, & Mohammad Mehedi Hassan. (2021). Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations. IEEE Transactions on Industrial Informatics. 18(7). 4820–4829. 109 indexed citations

8.

Woźniak, Marcin, Jakub Siłka, & Michał Wieczorek. (2021). Deep neural network correlation learning mechanism for CT brain tumor detection. Neural Computing and Applications. 35(20). 14611–14626. 178 indexed citations

9.

Woźniak, Marcin, Jakub Siłka, & Michał Wieczorek. (2021). Deep learning based crowd counting model for drone assisted systems. 31–36. 32 indexed citations

10.

Wieczorek, Michał, Jakub Siłka, Dawid Połap, Marcin Woźniak, & Robertas Damaševičius. (2020). Real-time neural network based predictor for cov19 virus spread. PLoS ONE. 15(12). e0243189–e0243189. 29 indexed citations

11.

Wieczorek, Michał, Jakub Siłka, & Marcin Woźniak. (2020). Neural network powered COVID-19 spread forecasting model. Chaos Solitons & Fractals. 140. 110203–110203. 108 indexed citations

12.

Siłka, Jakub, Michał Wieczorek, & Marcin Woźniak. (2020). Future Graduate Salaries Prediction Model Based On Recurrent Neural Network. SHILAP Revista de lepidopterología. 21. 427–430.

13.

Woźniak, Marcin, Michał Wieczorek, Jakub Siłka, & Dawid Połap. (2020). Body Pose Prediction Based on Motion Sensor Data and Recurrent Neural Network. IEEE Transactions on Industrial Informatics. 17(3). 2101–2111. 51 indexed citations

14.

Woźniak, Marcin, Jakub Siłka, Michał Wieczorek, & Mubarak Alrashoud. (2020). Recurrent Neural Network Model for IoT and Networking Malware Threat Detection. IEEE Transactions on Industrial Informatics. 17(8). 5583–5594. 86 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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