Jacek M. Żurada

11.1k total citations · 2 hit papers
208 papers, 7.4k citations indexed

About

Jacek M. Żurada is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jacek M. Żurada has authored 208 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Artificial Intelligence, 42 papers in Computer Vision and Pattern Recognition and 37 papers in Control and Systems Engineering. Recurrent topics in Jacek M. Żurada's work include Neural Networks and Applications (97 papers), Machine Learning and ELM (24 papers) and Neural Networks Stability and Synchronization (21 papers). Jacek M. Żurada is often cited by papers focused on Neural Networks and Applications (97 papers), Machine Learning and ELM (24 papers) and Neural Networks Stability and Synchronization (21 papers). Jacek M. Żurada collaborates with scholars based in United States, Poland and China. Jacek M. Żurada's co-authors include P. A. Estévez, Carlos A. Perez, Jian Wang, Jan Chorowski, Robert J. Marks, Charles J. Robinson, A. Lozowski, S. Jankowski, A. Malinowski and Rudy Setiono and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Jacek M. Żurada

195 papers receiving 6.9k 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.

Introduction to artificial neural systems

1992 1.7k citations Jacek M. Żurada profile →
Normalized Mutual Information Feature Selection

2009 898 citations Jacek M. Żurada et al. IEEE Transactions on Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacek M. Żurada United States	36	3.7k	1.7k	1000	943	758	208	7.4k
Paolo Frasconi Italy	33	4.2k 1.1×	1.6k 0.9×	946 0.9×	1.1k 1.1×	445 0.6×	130	10.0k
Shifei Ding China	45	4.1k 1.1×	2.4k 1.4×	1.1k 1.1×	948 1.0×	422 0.6×	288	7.8k
Ryszard Tadeusiewicz Poland	27	2.8k 0.8×	1.2k 0.7×	1.1k 1.1×	1.1k 1.1×	414 0.5×	241	8.0k
Neil D. Lawrence United Kingdom	49	3.8k 1.0×	1.8k 1.1×	1.2k 1.2×	647 0.7×	313 0.4×	172	8.4k
Nianyin Zeng China	43	3.0k 0.8×	2.6k 1.5×	1.1k 1.1×	980 1.0×	503 0.7×	142	9.5k
Peter L. Bartlett United States	42	7.4k 2.0×	3.3k 1.9×	1.3k 1.3×	826 0.9×	730 1.0×	200	12.3k
Min Han China	45	2.7k 0.7×	952 0.5×	1.6k 1.6×	1.2k 1.3×	747 1.0×	335	6.5k
Quan Pan China	50	3.1k 0.8×	1.9k 1.1×	1.6k 1.6×	627 0.7×	1.2k 1.6×	443	7.9k
Ah Chung Tsoi Australia	31	5.1k 1.4×	2.8k 1.6×	1.1k 1.1×	1.1k 1.1×	796 1.1×	184	11.0k
Shigeo Abe Japan	31	3.0k 0.8×	2.1k 1.2×	1.1k 1.1×	1.1k 1.2×	383 0.5×	198	7.4k

Countries citing papers authored by Jacek M. Żurada

Since Specialization

Citations

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

Fields of papers citing papers by Jacek M. Żurada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacek M. Żurada. 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 Jacek M. Żurada. The network helps show where Jacek M. Żurada may publish in the future.

Co-authorship network of co-authors of Jacek M. Żurada

This figure shows the co-authorship network connecting the top 25 collaborators of Jacek M. Żurada. A scholar is included among the top collaborators of Jacek M. Żurada 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 Jacek M. Żurada. Jacek M. Żurada 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

Gunjan, Vinit Kumar & Jacek M. Żurada. (2023). Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Lecture notes in networks and systems. 2 indexed citations

Fan, Qinwei, Qian Kang, Jacek M. Żurada, Tingwen Huang, & Dongpo Xu. (2023). Convergence Analysis of Online Gradient Method for High-Order Neural Networks and Their Sparse Optimization. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18687–18701. 11 indexed citations

Zhang, Huaqing, Jian Wang, Zhanquan Sun, Jacek M. Żurada, & Nikhil R. Pal. (2019). Feature Selection for Neural Networks Using Group Lasso Regularization. IEEE Transactions on Knowledge and Data Engineering. 32(4). 659–673. 131 indexed citations

Ayinde, Babajide O., Tamer Inanc, & Jacek M. Żurada. (2019). Regularizing Deep Neural Networks by Enhancing Diversity in Feature Extraction. IEEE Transactions on Neural Networks and Learning Systems. 30(9). 2650–2661. 50 indexed citations

Zhao, Junhong, Jacek M. Żurada, Jie Yang, & Wei Wu. (2018). The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. Neural Networks. 103. 19–28. 17 indexed citations

Wang, Jian, et al.. (2017). A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method. IEEE Transactions on Neural Networks and Learning Systems. 29(5). 2012–2024. 74 indexed citations

Ayinde, Babajide O. & Jacek M. Żurada. (2017). Nonredundant sparse feature extraction using autoencoders with receptive fields clustering. Neural Networks. 93. 99–109. 21 indexed citations

Ayinde, Babajide O. & Jacek M. Żurada. (2017). Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 3969–3979. 34 indexed citations

Hosseini-Asl, Ehsan, Jacek M. Żurada, Georgy Gimel’farb, & Ayman El‐Baz. (2015). 3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization. IEEE Transactions on Biomedical Engineering. 63(5). 952–963. 19 indexed citations

10.

Hosseini-Asl, Ehsan, Jacek M. Żurada, & Olfa Nasraoui. (2015). Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints. IEEE Transactions on Neural Networks and Learning Systems. 27(12). 2486–2498. 160 indexed citations

11.

Rutkowski, Leszek, Marcin Korytkowski, Rafał Scherer, et al.. (2014). Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations

12.

Żurada, Jacek M., et al.. (2013). Nonnegative Matrix Factorization and its application to pattern analysis and text mining. Federated Conference on Computer Science and Information Systems. 11–16. 1 indexed citations

13.

Hosseini-Asl, Ehsan & Jacek M. Żurada. (2013). Multiplicative Algorithm for Correntropy-Based Nonnegative Matrix Factorization. 1 indexed citations

14.

Inanc, Tamer, et al.. (2011). Robust Identification Approach to Individualized Anemia Model. 2 indexed citations

15.

Rutkowski, Leszek, Ryszard Tadeusiewicz, Lotfi A. Zadeh, & Jacek M. Żurada. (2006). Artificial Intelligence and Soft Computing ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 3 indexed citations

16.

Muezzinoglu, Mehmet K., et al.. (2005). An Energy Function-Based Design Method for Discrete Hopfield Associative Memory With Attractive Fixed Points. IEEE Transactions on Neural Networks. 16(2). 370–378. 14 indexed citations

17.

Boratyn, Grzegorz M., Tomasz G. Smolinski, Mariofanna Milanova, et al.. (2003). Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer.. 60–65.

18.

Żurada, Jacek M., et al.. (2002). A two-stage algorithm for improved topography preservation in self-organizing maps. 4. 2527–2532. 6 indexed citations

19.

Marks, Robert J., Jacek M. Żurada, & Charles J. Robinson. (1994). Computational Intelligence: Imitating Life. IEEE Press eBooks. 332 indexed citations

20.

Żurada, Jacek M.. (1981). Programmable State-Variable Active Biquads. Journal of the Audio Engineering Society. 29(11). 786–793. 3 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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