Yedid Hoshen

1.7k total citations
25 papers, 429 citations indexed

About

Yedid Hoshen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yedid Hoshen has authored 25 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Yedid Hoshen's work include Anomaly Detection Techniques and Applications (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Yedid Hoshen is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Yedid Hoshen collaborates with scholars based in Israel and United States. Yedid Hoshen's co-authors include Kevin Wilson, Ron J. Weiss, Lior Wolf, Bezalel Peleg, Niv Cohen, Mor Nitzan, Zoe Piran, Mohit Tiwari, Mark Silberstein and Yael Vinker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and Journal of Clinical Medicine.

In The Last Decade

Yedid Hoshen

24 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yedid Hoshen Israel 10 292 160 92 39 28 25 429
Xiaochun Wang China 8 158 0.5× 49 0.3× 85 0.9× 40 1.0× 12 0.4× 46 286
Fuad M. Alkoot Kuwait 8 161 0.6× 81 0.5× 156 1.7× 19 0.5× 12 0.4× 21 329
Yang Jiao China 10 74 0.3× 61 0.4× 157 1.7× 28 0.7× 19 0.7× 46 402
Chao Lan United States 11 151 0.5× 72 0.5× 148 1.6× 21 0.5× 16 0.6× 43 325
Philipp Benz South Korea 11 241 0.8× 44 0.3× 252 2.7× 25 0.6× 32 1.1× 12 447
Zhuangzhi Chen China 10 242 0.8× 48 0.3× 61 0.7× 53 1.4× 36 1.3× 17 424
Honghui Wang China 3 235 0.8× 41 0.3× 228 2.5× 34 0.9× 5 0.2× 4 462
Mehmet R. Tolun Türkiye 7 145 0.5× 37 0.2× 42 0.5× 28 0.7× 11 0.4× 26 289
Daniel Stanley Tan Taiwan 9 170 0.6× 31 0.2× 279 3.0× 17 0.4× 13 0.5× 37 460

Countries citing papers authored by Yedid Hoshen

Since Specialization
Citations

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

Fields of papers citing papers by Yedid Hoshen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yedid Hoshen

This figure shows the co-authorship network connecting the top 25 collaborators of Yedid Hoshen. A scholar is included among the top collaborators of Yedid Hoshen 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 Yedid Hoshen. Yedid Hoshen 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.
Hertz, Amir, et al.. (2025). LightLab: Controlling Light Sources in Images with Diffusion Models. ArXiv.org. 1–11.
2.
Tiosano, Liran, et al.. (2024). Anomaly Detection and Biomarkers Localization in Retinal Images. Journal of Clinical Medicine. 13(11). 3093–3093. 2 indexed citations
3.
Piran, Zoe, Niv Cohen, Yedid Hoshen, & Mor Nitzan. (2024). Disentanglement of single-cell data with biolord. Nature Biotechnology. 42(11). 1678–1683. 23 indexed citations
4.
Cohen, Niv, et al.. (2024). Detecting anomalous proteins using deep representations. NAR Genomics and Bioinformatics. 6(1). lqae021–lqae021. 4 indexed citations
5.
Hoshen, Yedid, et al.. (2023). Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection. 2968–2977. 38 indexed citations
6.
Hoshen, Yedid, et al.. (2023). Mean-Shifted Contrastive Loss for Anomaly Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2155–2162. 38 indexed citations
7.
Hoshen, Yedid, et al.. (2023). Unsupervised Word Segmentation Using Temporal Gradient Pseudo-Labels. 1–5. 3 indexed citations
8.
Hoshen, Yedid, et al.. (2022). Unsupervised Word Segmentation using K Nearest Neighbors. Interspeech 2022. 4646–4650. 5 indexed citations
9.
Cohen, Niv, et al.. (2021). PANDA - Adapting Pretrained Features for Anomaly Detection. 2 indexed citations
10.
Vinker, Yael, et al.. (2021). Image Shape Manipulation from a Single Augmented Training Sample. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13749–13758. 9 indexed citations
11.
Peleg, Bezalel, et al.. (2021). Membership Inference Attacks are Easier on Difficult Problems. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14800–14809. 12 indexed citations
12.
Hoshen, Yedid, et al.. (2020). Classification-Based Anomaly Detection for General Data. arXiv (Cornell University). 39 indexed citations
13.
14.
Hoshen, Yedid & Lior Wolf. (2018). Non-Adversarial Unsupervised Word Translation. 469–478. 48 indexed citations
15.
Hoshen, Yedid. (2018). Non-Adversarial Mapping with VAEs. Neural Information Processing Systems. 31. 7528–7537. 2 indexed citations
16.
Hoshen, Yedid & Lior Wolf. (2018). Identifying Analogies Across Domains. International Conference on Learning Representations. 3 indexed citations
17.
Hoshen, Yedid & Lior Wolf. (2018). NAM - Unsupervised Cross-Domain Image Mapping without Cycles or GANs. International Conference on Learning Representations. 2 indexed citations
18.
Hoshen, Yedid & Bezalel Peleg. (2015). Visual Learning of Arithmetic Operations. arXiv (Cornell University). 3733–3739. 4 indexed citations
19.
Hoshen, Yedid, Ron J. Weiss, & Kevin Wilson. (2015). Speech acoustic modeling from raw multichannel waveforms. 4624–4628. 129 indexed citations
20.
Hoshen, Yedid, et al.. (2013). Efficient representation of distributions for background subtraction. 276–281. 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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