Jan Hůla

421 total citations
12 papers, 162 citations indexed

About

Jan Hůla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jan Hůla has authored 12 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jan Hůla's work include Natural Language Processing Techniques (4 papers), Scheduling and Optimization Algorithms (2 papers) and Image Enhancement Techniques (2 papers). Jan Hůla is often cited by papers focused on Natural Language Processing Techniques (4 papers), Scheduling and Optimization Algorithms (2 papers) and Image Enhancement Techniques (2 papers). Jan Hůla collaborates with scholars based in Czechia, China and Slovakia. Jan Hůla's co-authors include Petr Hurtík, Marek Vajgl, Stefania Tomasiello, Mikoláš Janota, R. Thomas McCoy, Benjamin Van Durme, Berlin Chen, Ian Tenney, Yinghui Huang and Miroslav Kubát and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Fuzzy Systems and Computers & Operations Research.

In The Last Decade

Jan Hůla

10 papers receiving 152 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Hůla Czechia 4 78 46 16 15 15 12 162
R. Vijaya Kumar Reddy India 7 83 1.1× 43 0.9× 8 0.5× 30 2.0× 10 0.7× 35 195
Marek Vajgl Czechia 6 142 1.8× 39 0.8× 18 1.1× 33 2.2× 34 2.3× 21 230
Sylwia Majchrowska Poland 6 71 0.9× 25 0.5× 18 1.1× 35 2.3× 6 0.4× 11 225
Rongyu Zhang China 7 145 1.9× 70 1.5× 26 1.6× 30 2.0× 27 1.8× 16 247
Yihang Chen China 4 94 1.2× 30 0.7× 7 0.4× 33 2.2× 9 0.6× 17 182
Dim P. Papadopoulos United States 7 151 1.9× 86 1.9× 11 0.7× 17 1.1× 15 1.0× 12 243
Pengfei Xu China 9 50 0.6× 53 1.2× 20 1.3× 23 1.5× 6 0.4× 22 213
W. Xu China 7 37 0.5× 24 0.5× 16 1.0× 13 0.9× 31 2.1× 25 160

Countries citing papers authored by Jan Hůla

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hůla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Hůla

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

All Works

12 of 12 papers shown
1.
Šůcha, Přemysl, et al.. (2025). Minimizing the weighted number of tardy jobs: data-driven heuristic for single-machine scheduling. Computers & Operations Research. 185. 107281–107281.
2.
Šůcha, Přemysl, et al.. (2024). A machine learning approach to rank pricing problems in branch-and-price. European Journal of Operational Research. 320(2). 328–342. 2 indexed citations
3.
Hůla, Jan, et al.. (2024). Understanding GNNs for Boolean Satisfiability through Approximation Algorithms. 953–961. 1 indexed citations
4.
5.
Hurtík, Petr, et al.. (2022). Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3. Neural Computing and Applications. 34(10). 8275–8290. 92 indexed citations
6.
Hurtík, Petr, et al.. (2022). Binary cross-entropy with dynamical clipping. Neural Computing and Applications. 34(14). 12029–12041. 14 indexed citations
7.
Hůla, Jan, et al.. (2021). Graph Neural Networks for Scheduling of SMT Solvers. 447–451. 3 indexed citations
8.
Hůla, Jan, et al.. (2020). Acquiring Custom OCR System with Minimal Manual Annotation. 59. 231–236. 2 indexed citations
9.
Hurtík, Petr, et al.. (2020). Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function. IEEE Transactions on Fuzzy Systems. 28(7). 1195–1204. 32 indexed citations
10.
Bowman, Samuel R., Ellie Pavlick, Édouard Grave, et al.. (2018). Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.. 11 indexed citations
11.
Hůla, Jan, et al.. (2018). The Development of Context Specificity of Lemma. A Word Embeddings Approach. Journal of Quantitative Linguistics. 26(3). 187–204. 3 indexed citations
12.
Kubát, Miroslav, et al.. (2018). The lexical context in a style analysis: A word embeddings approach. Corpus Linguistics and Linguistic Theory. 17(2). 443–464. 2 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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