Radu Tudor Ionescu

8.2k total citations · 4 hit papers
95 papers, 3.2k citations indexed

About

Radu Tudor Ionescu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Radu Tudor Ionescu has authored 95 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 39 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Radu Tudor Ionescu's work include Natural Language Processing Techniques (17 papers), Anomaly Detection Techniques and Applications (13 papers) and Topic Modeling (11 papers). Radu Tudor Ionescu is often cited by papers focused on Natural Language Processing Techniques (17 papers), Anomaly Detection Techniques and Applications (13 papers) and Topic Modeling (11 papers). Radu Tudor Ionescu collaborates with scholars based in Romania, United States and United Arab Emirates. Radu Tudor Ionescu's co-authors include Mubarak Shah, Florinel-Alin Croitoru, Vlad Hondru, Mariana-Iuliana Georgescu, Marius Popescu, Fahad Shahbaz Khan, Petru Soviany, Ling Shao, Mubarak Shah and Nicolae-Cătălin Ristea and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Radu Tudor Ionescu

85 papers receiving 3.1k citations

Hit Papers

Diffusion Models in Vision: A Survey 2019 2026 2021 2023 2023 2019 2022 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radu Tudor Ionescu Romania 23 1.6k 1.3k 588 331 215 95 3.2k
Athanasios Voulodimos Greece 26 1.0k 0.7× 1.3k 1.0× 194 0.3× 271 0.8× 80 0.4× 123 4.3k
Balasubramanian Raman India 39 1.1k 0.7× 3.7k 2.9× 204 0.3× 329 1.0× 163 0.8× 270 5.7k
Karl R. Weiss United States 7 1.5k 1.0× 793 0.6× 169 0.3× 267 0.8× 54 0.3× 8 4.1k
Mu Li China 23 2.0k 1.3× 1.6k 1.3× 402 0.7× 127 0.4× 216 1.0× 61 4.0k
Dongbo Xi China 6 1.5k 1.0× 813 0.6× 204 0.3× 284 0.9× 62 0.3× 6 4.1k
Zhiyuan Qi China 7 1.5k 1.0× 802 0.6× 203 0.3× 289 0.9× 62 0.3× 16 4.1k
Sicheng Zhao China 40 2.2k 1.4× 3.2k 2.5× 297 0.5× 182 0.5× 604 2.8× 162 5.6k
Keyu Duan China 2 1.5k 1.0× 795 0.6× 201 0.3× 284 0.9× 62 0.3× 5 4.0k
Mahmudul Hasan United States 9 1.3k 0.8× 921 0.7× 625 1.1× 350 1.1× 33 0.2× 18 2.3k
Alexander Binder Germany 16 3.4k 2.2× 1.2k 0.9× 299 0.5× 188 0.6× 77 0.4× 43 5.2k

Countries citing papers authored by Radu Tudor Ionescu

Since Specialization
Citations

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

Fields of papers citing papers by Radu Tudor Ionescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radu Tudor Ionescu. 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 Radu Tudor Ionescu. The network helps show where Radu Tudor Ionescu may publish in the future.

Co-authorship network of co-authors of Radu Tudor Ionescu

This figure shows the co-authorship network connecting the top 25 collaborators of Radu Tudor Ionescu. A scholar is included among the top collaborators of Radu Tudor Ionescu 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 Radu Tudor Ionescu. Radu Tudor Ionescu 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.
Hondru, Vlad, et al.. (2025). Masked Image Modeling: A Survey. International Journal of Computer Vision. 133(10). 7154–7200. 2 indexed citations
2.
Nieke, Jens, et al.. (2025). Hyperspectral Image Segmentation for Optimal Satellite Operations: In-Orbit Deployment of 1D-CNN. Remote Sensing. 17(4). 642–642. 1 indexed citations
3.
Glavašš, Goran, et al.. (2024). VarDial Evaluation Campaign 2024: Commonsense Reasoning in Dialects and Multi-Label Similar Language Identification. SPIRE - Sciences Po Institutional REpository. 1–15. 1 indexed citations
4.
Ionescu, Radu Tudor, et al.. (2024). Class Anchor Margin Loss for Content-Based Image Retrieval. 848–853.
5.
Ionescu, Radu Tudor, et al.. (2024). RoDia: A New Dataset for Romanian Dialect Identification from Speech. 279–286.
6.
Ristea, Nicolae-Cătălin, Andrei Anghel, & Radu Tudor Ionescu. (2024). Cascaded cross-modal transformer for audio–textual classification. Artificial Intelligence Review. 57(9).
7.
Ionescu, Radu Tudor, Mariana-Iuliana Georgescu, Kamal Nasrollahi, et al.. (2023). SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. Computer Vision and Image Understanding. 229. 103656–103656. 62 indexed citations
8.
Georgescu, Mariana-Iuliana, et al.. (2023). Audiovisual Masked Autoencoders. 16098–16108. 21 indexed citations
9.
Ristea, Nicolae-Cătălin, et al.. (2023). CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation. Neurocomputing. 538. 126211–126211. 16 indexed citations
10.
Soviany, Petru, Radu Tudor Ionescu, Paolo Rota, & Nicu Sebe. (2022). Curriculum Learning: A Survey. International Journal of Computer Vision. 130(6). 1526–1565. 189 indexed citations breakdown →
11.
Ionescu, Radu Tudor, et al.. (2021). FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. arXiv (Cornell University). 1–8.
12.
Stan, Adriana, Traian Rebedea, Dani Yogatama, et al.. (2021). LiRo: Benchmark and leaderboard for Romanian language tasks. Neural Information Processing Systems. 10 indexed citations
13.
Ionescu, Radu Tudor, et al.. (2021). A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 1–1. 130 indexed citations
14.
Georgescu, Mariana-Iuliana, et al.. (2020). Convolutional Neural Networks With Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. IEEE Access. 8. 49112–49124. 41 indexed citations
15.
Ionescu, Radu Tudor, et al.. (2020). Black-Box Ripper: Copying black-box models using generative evolutionary algorithms. Neural Information Processing Systems. 33. 20120–20129. 1 indexed citations
16.
Hovy, Dirk, Radu Tudor Ionescu, Tommi Jauhiainen, et al.. (2020). A Report on the VarDial Evaluation Campaign 2020. Työväentutkimus Vuosikirja. 1–14. 22 indexed citations
17.
Ionescu, Radu Tudor, et al.. (2018). UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row. arXiv (Cornell University). 77–87. 10 indexed citations
18.
Soviany, Petru & Radu Tudor Ionescu. (2018). Optimizing the Trade-Off between Single-Stage and Two-Stage Deep Object Detectors using Image Difficulty Prediction. 209–214. 139 indexed citations
19.
Ionescu, Radu Tudor & Marius Popescu. (2016). UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels. International Conference on Computational Linguistics. 135–144. 20 indexed citations
20.
Popescu, Marius & Radu Tudor Ionescu. (2013). The Story of the Characters, the DNA and the Native Language. 270–278. 19 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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