Nasser M. Nasrabadi

14.2k total citations · 7 hit papers
344 papers, 10.3k citations indexed

About

Nasser M. Nasrabadi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Nasser M. Nasrabadi has authored 344 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Computer Vision and Pattern Recognition, 122 papers in Media Technology and 79 papers in Aerospace Engineering. Recurrent topics in Nasser M. Nasrabadi's work include Remote-Sensing Image Classification (99 papers), Image and Signal Denoising Methods (72 papers) and Infrared Target Detection Methodologies (68 papers). Nasser M. Nasrabadi is often cited by papers focused on Remote-Sensing Image Classification (99 papers), Image and Signal Denoising Methods (72 papers) and Infrared Target Detection Methodologies (68 papers). Nasser M. Nasrabadi collaborates with scholars based in United States, China and United Kingdom. Nasser M. Nasrabadi's co-authors include Trac D. Tran, Yi Chen, Heesung Kwon, Robert A. King, José M. Bioucas‐Dias, Antonio Plaza, Jocelyn Chanussot, Gustau Camps‐Valls, Paul Scheunders and Thomas S. Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Nasser M. Nasrabadi

322 papers receiving 9.9k citations

Hit Papers

Hyperspectral Remote Sensing... 1988 2026 2000 2013 2013 2011 1988 2005 2013 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nasser M. Nasrabadi United States 42 5.9k 4.6k 3.1k 1.6k 1.3k 344 10.3k
Lefei Zhang China 47 5.7k 1.0× 5.0k 1.1× 2.8k 0.9× 2.0k 1.2× 632 0.5× 195 10.3k
Xiaoqiang Lu China 55 4.9k 0.8× 5.9k 1.3× 2.1k 0.7× 1.7k 1.0× 434 0.3× 246 9.5k
Chein‐I Chang United States 48 10.3k 1.7× 3.2k 0.7× 5.3k 1.7× 2.3k 1.4× 890 0.7× 350 13.3k
Paul Gader United States 41 3.7k 0.6× 2.3k 0.5× 1.6k 0.5× 1.8k 1.1× 542 0.4× 329 8.5k
Shuyuan Yang China 46 4.0k 0.7× 4.2k 0.9× 1.2k 0.4× 2.0k 1.2× 545 0.4× 432 9.4k
Zhenwei Shi China 47 5.3k 0.9× 4.8k 1.0× 2.0k 0.7× 1.3k 0.8× 311 0.2× 271 9.8k
Leyuan Fang China 57 8.6k 1.5× 6.0k 1.3× 3.3k 1.1× 1.1k 0.7× 633 0.5× 209 12.2k
Qingshan Liu China 47 2.2k 0.4× 5.2k 1.1× 909 0.3× 1.7k 1.1× 604 0.5× 273 8.5k
Chunhong Pan China 45 3.1k 0.5× 5.7k 1.2× 1.1k 0.4× 1.5k 0.9× 928 0.7× 311 9.7k
Yunsong Li China 49 5.4k 0.9× 3.8k 0.8× 1.6k 0.5× 1.1k 0.7× 311 0.2× 421 8.5k

Countries citing papers authored by Nasser M. Nasrabadi

Since Specialization
Citations

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

Fields of papers citing papers by Nasser M. Nasrabadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nasser M. Nasrabadi. 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 Nasser M. Nasrabadi. The network helps show where Nasser M. Nasrabadi may publish in the future.

Co-authorship network of co-authors of Nasser M. Nasrabadi

This figure shows the co-authorship network connecting the top 25 collaborators of Nasser M. Nasrabadi. A scholar is included among the top collaborators of Nasser M. Nasrabadi 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 Nasser M. Nasrabadi. Nasser M. Nasrabadi 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.
Nasrabadi, Nasser M., et al.. (2025). FDCT: Frequency-Aware Decomposition and Cross-Modal Token-Alignment for Multisensor Target Classification. IEEE Transactions on Aerospace and Electronic Systems. 61(4). 9036–9057.
2.
Nasrabadi, Nasser M., et al.. (2024). Learning Multi-Scale Knowledge-Guided Features for Text-Guided Face Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 7(2). 195–209.
3.
Kashiani, Hossein, et al.. (2024). CATFace: Cross-Attribute-Guided Transformer With Self-Attention Distillation for Low-Quality Face Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 6(1). 132–146. 5 indexed citations
4.
Nasrabadi, Nasser M., et al.. (2023). On improving interoperability for cross‐domain multi‐finger fingerprint matching using coupled adversarial learning. IET Biometrics. 12(4). 194–210. 2 indexed citations
5.
Dabouei, Ali, et al.. (2023). Fingerphoto Deblurring Using Attention-Guided Multi-Stage GAN. IEEE Access. 11. 82709–82727.
6.
Nasrabadi, Nasser M., et al.. (2023). Contrastive Learning and Cycle Consistency-Based Transductive Transfer Learning for Target Annotation. IEEE Transactions on Aerospace and Electronic Systems. 60(2). 1628–1646. 2 indexed citations
7.
Nasrabadi, Nasser M., et al.. (2021). Unsupervised Pixel-Wise Hyperspectral Anomaly Detection via Autoencoding Adversarial Networks. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 42 indexed citations
8.
Soleymani, Sobhan, et al.. (2021). Quality-Aware Multimodal Biometric Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 4(1). 97–116. 4 indexed citations
9.
Dawson, Jeremy, et al.. (2021). Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition. IEEE Transactions on Biometrics Behavior and Identity Science. 3(4). 443–463. 26 indexed citations
10.
Dehzangi, Omid, et al.. (2021). MultiSDGAN: Translation of OCT Images to Superresolved Segmentation Labels Using Multi-Discriminators in Multi-Stages. IEEE Journal of Biomedical and Health Informatics. 26(4). 1614–1627. 5 indexed citations
11.
Valenti, Matthew C., et al.. (2020). Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval. IEEE Transactions on Biometrics Behavior and Identity Science. 2(3). 279–293. 8 indexed citations
12.
Nasrabadi, Nasser M., et al.. (2019). Supervised Deep Sparse Coding Networks for Image Classification. IEEE Transactions on Image Processing. 29. 405–418. 29 indexed citations
13.
Ding, Zhengming, Nasser M. Nasrabadi, & Yun Fu. (2018). Semi-supervised Deep Domain Adaptation via Coupled Neural Networks. IEEE Transactions on Image Processing. 27(11). 5214–5224. 53 indexed citations
14.
Nasrabadi, Nasser M., et al.. (2017). Supervised Multilayer Sparse Coding Networks for Image Classification.. arXiv (Cornell University). 8 indexed citations
15.
Zhang, Haichao, Thomas S. Huang, Nasser M. Nasrabadi, & Shuicheng Yan. (2011). Heterogeneous multi-metric learning for multi-sensor fusion. International Conference on Information Fusion. 1–8. 14 indexed citations
16.
Nguyen, Nam H., Nasser M. Nasrabadi, & Trac D. Tran. (2011). Robust multi-sensor classification via joint sparse representation. International Conference on Information Fusion. 1–8. 26 indexed citations
17.
Katsaggelos, Aggelos K. & Nasser M. Nasrabadi. (2002). Applications of Artificial Neural Networks in Image Processing VII. 4668.
18.
Nasrabadi, Nasser M.. (2000). Applications of Artificial Neural Networks in Image Processing. 2664. 2 indexed citations
19.
Nasrabadi, Nasser M. & Aggelos K. Katsaggelos. (1999). Applications of Artificial Neural Networks in Image Processing IV. 3647. 2 indexed citations
20.
Nasrabadi, Nasser M. & Aggelos K. Katsaggelos. (1998). Applications of Artificial Neural Networks in Image Processing III. 3307. 3 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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