Yulia Ledeneva

608 total citations
30 papers, 196 citations indexed

About

Yulia Ledeneva is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Yulia Ledeneva has authored 30 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Yulia Ledeneva's work include Topic Modeling (20 papers), Advanced Text Analysis Techniques (20 papers) and Natural Language Processing Techniques (15 papers). Yulia Ledeneva is often cited by papers focused on Topic Modeling (20 papers), Advanced Text Analysis Techniques (20 papers) and Natural Language Processing Techniques (15 papers). Yulia Ledeneva collaborates with scholars based in Mexico, Spain and Russia. Yulia Ledeneva's co-authors include René Arnulfo García-Hernández, Alexander Gelbukh, Carlos Gutiérrez, Sergio Díaz, Mikhail Alexandrov and Carlos A. Reyes-García and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yulia Ledeneva

27 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulia Ledeneva Mexico 7 178 28 11 10 5 30 196
Natalia Ponomareva United States 5 139 0.8× 28 1.0× 14 1.3× 5 0.5× 5 1.0× 21 165
Hongying Zan China 6 122 0.7× 17 0.6× 31 2.8× 15 1.5× 3 0.6× 50 169
Sutanu Chakraborti India 5 110 0.6× 30 1.1× 6 0.5× 18 1.8× 2 0.4× 25 132
Ankit Kumar India 6 101 0.6× 14 0.5× 39 3.5× 13 1.3× 5 1.0× 14 143
René Arnulfo García-Hernández Mexico 8 170 1.0× 31 1.1× 11 1.0× 8 0.8× 21 187
Endong Xun China 7 201 1.1× 66 2.4× 6 0.5× 18 1.8× 2 0.4× 15 216
Hiroshi Noji Japan 8 199 1.1× 22 0.8× 17 1.5× 37 3.7× 3 0.6× 23 214
Tobias Falke Germany 7 224 1.3× 22 0.8× 16 1.5× 30 3.0× 2 0.4× 16 249
Ai Ti Aw Singapore 8 206 1.2× 19 0.7× 15 1.4× 27 2.7× 2 0.4× 20 217
Kunli Zhang China 6 107 0.6× 24 0.9× 23 2.1× 8 0.8× 3 0.6× 34 166

Countries citing papers authored by Yulia Ledeneva

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Ledeneva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Ledeneva

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Ledeneva. A scholar is included among the top collaborators of Yulia Ledeneva 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 Yulia Ledeneva. Yulia Ledeneva 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.
Ledeneva, Yulia, et al.. (2024). Spanish Automatic Text Summarization: A Survey. Computación y Sistemas. 28(3).
2.
García-Hernández, René Arnulfo, et al.. (2023). Toward the Automatic Generation of an Objective Function for Extractive Text Summarization. IEEE Access. 11. 51455–51464. 4 indexed citations
3.
García-Hernández, René Arnulfo, et al.. (2021). Language-independent extractive automatic text summarization based on automatic keyword extraction. Computer Speech & Language. 71. 101267–101267. 19 indexed citations
4.
García-Hernández, René Arnulfo, et al.. (2021). Personal Course Timetabling for University Students based on Genetic Algorithm. 12(3). 32–49. 1 indexed citations
5.
Ledeneva, Yulia, et al.. (2020). Ground Truth Spanish Automatic Extractive Text Summarization Bounds. Computación y Sistemas. 24(3). 1 indexed citations
6.
Ledeneva, Yulia, et al.. (2020). Evaluation of text summaries without human references based on the linear optimization of content metrics using a genetic algorithm. Expert Systems with Applications. 167. 113827–113827. 5 indexed citations
7.
Ledeneva, Yulia, et al.. (2020). Unsupervised extractive multi-document text summarization using a genetic algorithm. Journal of Intelligent & Fuzzy Systems. 39(2). 2397–2408. 2 indexed citations
8.
Ledeneva, Yulia, et al.. (2020). Combination of similarity measures based on symbolic regression for confusing drug names identification. Journal of Intelligent & Fuzzy Systems. 39(2). 2093–2103. 2 indexed citations
9.
Ledeneva, Yulia, et al.. (2020). An unsupervised lower-baseline localization method based on writing style features for historical documents. Journal of Intelligent & Fuzzy Systems. 39(2). 2509–2520. 1 indexed citations
10.
Ledeneva, Yulia, et al.. (2020). Detección de ideas principales y composición de resúmenes en inglés, español, portugués y ruso. 60 años de investigación.
11.
Ledeneva, Yulia, et al.. (2020). The Impact of Key Ideas on Automatic Deception Detection in Text. Computación y Sistemas. 24(3). 1 indexed citations
12.
Ledeneva, Yulia, et al.. (2020). Determining the importance of sentence position for automatic text summarization. Journal of Intelligent & Fuzzy Systems. 39(2). 2421–2431. 2 indexed citations
13.
Ledeneva, Yulia, et al.. (2019). Learning Relevant Models using Symbolic Regression for Automatic Text Summarization. Computación y Sistemas. 23(1). 6 indexed citations
14.
García-Hernández, René Arnulfo, et al.. (2018). Sentence features relevance for extractive text summarization using genetic algorithms. Journal of Intelligent & Fuzzy Systems. 35(1). 353–365. 31 indexed citations
15.
Ledeneva, Yulia, et al.. (2016). Comparison of Automatic Keyphrase Extraction Systems in Scientific Papers. Research in Computing Science. 115(1). 181–191. 1 indexed citations
16.
Ledeneva, Yulia, et al.. (2014). Reglas que describen la deserción y permanencia en los estudiantes de la UAP Tianguistenco de la UAEM. SHILAP Revista de lepidopterología.
17.
Ledeneva, Yulia, et al.. (2010). Experimenting with Maximal Frequent Sequences for Multi-Document Summarization. Research in computing science. 45. 233–244. 1 indexed citations
18.
Ledeneva, Yulia, et al.. (2010). Recent Advances in Computational Linguistics. 34(1). 3–18. 3 indexed citations
19.
García-Hernández, René Arnulfo, et al.. (2009). Comparing Commercial Tools and State-of-the-Art Methods for Generating Text Summaries. 92–96. 8 indexed citations
20.

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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