James E. Fowler

6.6k total citations · 1 hit paper
166 papers, 4.8k citations indexed

About

James E. Fowler is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, James E. Fowler has authored 166 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Computer Vision and Pattern Recognition, 68 papers in Media Technology and 38 papers in Computational Mechanics. Recurrent topics in James E. Fowler's work include Image and Signal Denoising Methods (86 papers), Advanced Data Compression Techniques (66 papers) and Remote-Sensing Image Classification (53 papers). James E. Fowler is often cited by papers focused on Image and Signal Denoising Methods (86 papers), Advanced Data Compression Techniques (66 papers) and Remote-Sensing Image Classification (53 papers). James E. Fowler collaborates with scholars based in United States, China and France. James E. Fowler's co-authors include Qian Du, Sungkwang Mun, Saurabh Prasad, Wei Li, Eric W. Tramel, L.M. Bruce, Chen Chen, Chen Chen, Wei Zhu and Roni Yagel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

James E. Fowler

161 papers receiving 4.6k citations

Hit Papers

Locality-Preserving Dimensionality Reduction and Classifi... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James E. Fowler United States 35 3.0k 2.2k 1.6k 966 790 166 4.8k
Jean‐Yves Tourneret France 36 1.5k 0.5× 2.4k 1.1× 621 0.4× 587 0.6× 532 0.7× 242 5.3k
Jie Chen China 32 875 0.3× 1.1k 0.5× 1.6k 1.0× 460 0.5× 396 0.5× 249 4.3k
Xi-Le Zhao China 46 4.2k 1.4× 2.7k 1.2× 2.3k 1.5× 301 0.3× 308 0.4× 226 6.4k
Zhihui Wei China 30 2.3k 0.8× 3.1k 1.4× 557 0.3× 1.1k 1.2× 367 0.5× 258 4.7k
Yuntao Qian China 32 1.8k 0.6× 3.1k 1.4× 468 0.3× 1.6k 1.6× 264 0.3× 191 4.3k
Qian Zhao China 34 3.4k 1.1× 1.9k 0.9× 911 0.6× 223 0.2× 312 0.4× 124 4.8k
Jun Huang China 30 2.3k 0.8× 3.2k 1.4× 255 0.2× 471 0.5× 355 0.4× 123 4.7k
Byeungwoo Jeon South Korea 30 2.3k 0.8× 1.0k 0.5× 359 0.2× 292 0.3× 240 0.3× 266 3.5k
Panagiotis Tsakalides Greece 26 1.4k 0.5× 865 0.4× 765 0.5× 127 0.1× 302 0.4× 184 3.4k
Sen Jia China 37 1.7k 0.6× 4.0k 1.8× 283 0.2× 2.3k 2.4× 429 0.5× 127 5.1k

Countries citing papers authored by James E. Fowler

Since Specialization
Citations

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

Fields of papers citing papers by James E. Fowler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Fowler. 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 James E. Fowler. The network helps show where James E. Fowler may publish in the future.

Co-authorship network of co-authors of James E. Fowler

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Fowler. A scholar is included among the top collaborators of James E. Fowler 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 James E. Fowler. James E. Fowler 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.
Li, Wei, et al.. (2025). A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4684–4698. 2 indexed citations
2.
Li, Wei, et al.. (2024). A Multi-Stage Progressive Network for Hyperspectral Image Demosaicing and Denoising. IEEE Transactions on Computational Imaging. 11. 1–10. 2 indexed citations
3.
Ye, Zhen, et al.. (2023). Few-Shot Learning Using Residual Channel Attention and Prototype Domain Adaptation for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 6 indexed citations
4.
Ye, Zhen, et al.. (2023). Computationally Lightweight Hyperspectral Image Classification Using a Multiscale Depthwise Convolutional Network With Channel Attention. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 11 indexed citations
5.
Karl, W.C., James E. Fowler, Charles A. Bouman, et al.. (2023). The Foundations of Computational Imaging: A signal processing perspective. IEEE Signal Processing Magazine. 40(5). 40–53. 5 indexed citations
6.
Ye, Zhen, et al.. (2023). Local–Global Active Learning Based on a Graph Convolutional Network for Semi-Supervised Classification of Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 14 indexed citations
7.
Ye, Zhen, et al.. (2022). Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 4640–4652. 7 indexed citations
8.
Liu‎, Na, Lu Li, Wei Li, et al.. (2021). Hyperspectral Restoration and Fusion With Multispectral Imagery via Low-Rank Tensor-Approximation. IEEE Transactions on Geoscience and Remote Sensing. 59(9). 7817–7830. 50 indexed citations
9.
Fowler, James E., et al.. (2020). Hypergraph-Regularized Low-Rank Subspace Clustering Using Superpixels for Unsupervised Spatial–Spectral Hyperspectral Classification. IEEE Geoscience and Remote Sensing Letters. 18(5). 871–875. 21 indexed citations
10.
Liu‎, Na, Wei Li, Ran Tao, & James E. Fowler. (2019). Wavelet-Domain Low-Rank/Group-Sparse Destriping for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 10310–10321. 34 indexed citations
11.
Fowler, James E., et al.. (2018). Spatial Functional Data Analysis for the Spatial–Spectral Classification of Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters. 16(6). 942–946. 10 indexed citations
12.
Fowler, James E., et al.. (2017). Spatial Logistic Regression for Support-Vector Classification of Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters. 14(3). 439–443. 18 indexed citations
13.
Menon, Vineetha, Qian Du, & James E. Fowler. (2017). Random Hadamard Projections for Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Letters. 14(3). 419–423. 6 indexed citations
14.
Li, Wei, Saurabh Prasad, & James E. Fowler. (2013). Noise-Adjusted Subspace Discriminant Analysis for Hyperspectral Imagery Classification. IEEE Geoscience and Remote Sensing Letters. 10(6). 1374–1378. 23 indexed citations
15.
Mun, Sungkwang & James E. Fowler. (2012). DPCM for quantized block-based compressed sensing of images. European Signal Processing Conference. 1424–1428. 41 indexed citations
16.
Li, Wei, Saurabh Prasad, James E. Fowler, & L.M. Bruce. (2011). Locality-Preserving Discriminant Analysis in Kernel-Induced Feature Spaces for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 8(5). 894–898. 111 indexed citations
17.
Trocan, Maria, Thomas Maugey, Eric W. Tramel, James E. Fowler, & Béatrice Pesquet‐Popescu. (2010). CS-reconstruction of multiview images using bootstrap-like disparity compensation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
18.
Fowler, James E. & Roni Yagel. (2002). Optimal linear prediction for the lossless compression of volume data. 458–458. 4 indexed citations
19.
Hogan, Michael D., Robert J. Carpenter, James E. Fowler, et al.. (2001). Information technology measurement and testing activities at NIST. Journal of Research of the National Institute of Standards and Technology. 106(1). 341–341. 2 indexed citations
20.
Ahalt, Stanley C. & James E. Fowler. (1996). Adaptive vector quantization for the coding of nonstationary sources. European review for medical and pharmacological sciences. 19(2). 220–4. 9 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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