Luis Herranz

2.8k total citations
61 papers, 1.2k citations indexed

About

Luis Herranz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Luis Herranz has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Luis Herranz's work include Advanced Image and Video Retrieval Techniques (24 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Multimodal Machine Learning Applications (14 papers). Luis Herranz is often cited by papers focused on Advanced Image and Video Retrieval Techniques (24 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Multimodal Machine Learning Applications (14 papers). Luis Herranz collaborates with scholars based in China, Spain and Italy. Luis Herranz's co-authors include Joost van de Weijer, Shuqiang Jiang, Xialei Liu, Xinhang Song, Shangling Jui, Yongmei Cheng, Andrew D. Bagdanov, José M. Martínez, Chenshen Wu and Kai Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Optics Express.

In The Last Decade

Luis Herranz

55 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Herranz China 17 890 632 110 99 83 61 1.2k
Usama Ijaz Bajwa Pakistan 18 600 0.7× 428 0.7× 38 0.3× 82 0.8× 25 0.3× 74 1.1k
Austin Myers United States 5 728 0.8× 446 0.7× 39 0.4× 215 2.2× 185 2.2× 7 1.2k
Surbhi Gupta India 14 293 0.3× 135 0.2× 109 1.0× 47 0.5× 22 0.3× 39 750
Dapeng Chen China 23 1.4k 1.6× 351 0.6× 71 0.6× 488 4.9× 14 0.2× 51 1.8k
Yuncheng Li United States 10 619 0.7× 489 0.8× 70 0.6× 161 1.6× 7 0.1× 21 953
Yiding Yang China 13 365 0.4× 274 0.4× 13 0.1× 34 0.3× 37 0.4× 20 625
Yuankai Qi China 22 1.6k 1.8× 589 0.9× 73 0.7× 82 0.8× 7 0.1× 65 1.9k
Yao Lu China 15 705 0.8× 238 0.4× 64 0.6× 43 0.4× 4 0.0× 71 914
Souham Meshoul Saudi Arabia 14 167 0.2× 292 0.5× 35 0.3× 32 0.3× 10 0.1× 77 616

Countries citing papers authored by Luis Herranz

Since Specialization
Citations

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

Fields of papers citing papers by Luis Herranz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Herranz

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Herranz. A scholar is included among the top collaborators of Luis Herranz 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 Luis Herranz. Luis Herranz 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.
Vázquez-Corral, Javier, et al.. (2024). Palette-Based Color Harmonization via Color Naming. IEEE Signal Processing Letters. 31. 1474–1478. 1 indexed citations
2.
Yang, Fei, et al.. (2024). Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 6416–6429. 5 indexed citations
3.
Liu, Zhaocheng, Fei Yang, Defa Wang, et al.. (2024). A slimmable framework for practical neural video compression. Neurocomputing. 610. 128525–128525.
4.
Wan, Shuai, et al.. (2024). Lightweight Deep Exemplar Colorization via Semantic Attention-Guided Laplacian Pyramid. IEEE Transactions on Visualization and Computer Graphics. 31(8). 4257–4269. 2 indexed citations
5.
Yang, Shiqi, et al.. (2023). Casting a BAIT for offline and online source-free domain adaptation. Computer Vision and Image Understanding. 234. 103747–103747. 25 indexed citations
6.
Wang, Yaxing, Abel González-García, Chenshen Wu, et al.. (2023). MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. International Journal of Computer Vision. 132(2). 490–514. 2 indexed citations
7.
Wan, Shuai, et al.. (2023). Chroma Intra Prediction With Lightweight Attention-Based Neural Networks. IEEE Transactions on Circuits and Systems for Video Technology. 34(1). 549–560. 6 indexed citations
8.
Yang, Shiqi, et al.. (2023). Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15883–15895. 9 indexed citations
9.
Yang, Shiqi, et al.. (2022). Casting a Bait for Offline and Online Source-Free Domain Adaptation. SSRN Electronic Journal. 2 indexed citations
10.
Herranz, Luis, et al.. (2021). Distributed Learning and Inference With Compressed Images. IEEE Transactions on Image Processing. 30. 3069–3083. 8 indexed citations
11.
Yang, Shiqi, Kai Wang, Luis Herranz, & Joost van de Weijer. (2021). On Implicit Attribute Localization for Generalized Zero-Shot Learning. IEEE Signal Processing Letters. 28. 872–876. 9 indexed citations
12.
Wang, Yaxing, et al.. (2020). MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 9329–9338. 107 indexed citations
13.
Yu, Lu, Bartłomiej Twardowski, Xialei Liu, et al.. (2020). Semantic Drift Compensation for Class-Incremental Learning. 6980–6989. 183 indexed citations
14.
Song, Xinhang, et al.. (2020). Generalized Zero-shot Learning with Multi-source Semantic Embeddings for Scene Recognition. 3976–3985. 8 indexed citations
15.
Wang, Yaxing, Abel González-García, Luis Herranz, & Joost van de Weijer. (2020). Controlling biases and diversity in diverse image-to-image translation. Computer Vision and Image Understanding. 202. 103082–103082. 2 indexed citations
16.
Wang, Yaxing, Luis Herranz, & Joost van de Weijer. (2020). Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation. International Journal of Computer Vision. 128(12). 2849–2872. 3 indexed citations
17.
Wu, Chenshen, et al.. (2018). Memory Replay GANs: Learning to Generate New Categories without Forgetting. Neural Information Processing Systems. 31. 5962–5972. 115 indexed citations
18.
Guo, Cheng, Luis Herranz, Lifang Wu, & Shuqiang Jiang. (2014). Region annotations in hashing based image retrieval. 355–358. 1 indexed citations
19.
Bescós, Jesús, et al.. (2007). Content-driven adaptation of on-line video. Signal Processing Image Communication. 22(7-8). 651–668. 10 indexed citations
20.
Martínez, José M., et al.. (2004). Integrating Metadata-Driven Content Adaptation Approaches.. 1 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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