D. Hush

37 papers receiving 1.9k citations

D. Hush's Hit Papers

Progress in supervised neural networks 1993 · 1.0k citations
1.0k0+11+22Years since publication2505007501000

Peers

D. Hush
Comparison fields: 5 of 134
  • Media Technology 305
  • Signal Processing 337
  • Computer Vision and Pattern Recognition 482
  • Artificial Intelligence 750
  • Control and Systems Engineering 307
Replace M. N. S. Swamy with:
M. N. S. Swamy Canada
Mark E. Oxley United States
N.B. Karayiannis United States
Wenli Xu China
Jian Lü China
Filip Mulier United States
Erkan Beşdok Türkiye
Paul Honeiné France
Dennis DeCoste United States
Ke-Lin Du Canada
D. Hush relative to M. N. S. Swamy Canada M. N. S. Swamy's profile →
Citations per field
00.5×1.7×
M. N. S. Swamy · 1×
Citations per year

Countries citing papers authored by D. Hush

Since Specialization
Citations

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

Fields of papers citing papers by D. Hush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Hush, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Hush Line = papers co-authored together D. Hush links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Progress in supervised neural networks
Hit paper breakdown →
19931046
2 2002251
3 2006159
4 1995113
5
Query by image example: The CANDID approach
1995111
6 1986104
7 199249
8 199839
9 199314
10 200314
11 198712
12 200512
13 199711
14 199410
15
Statistical modeling of targets and clutter in single-look non-polarimetric SAR imagery
19989
16 20078
17 20027
18 20037
19 20026
20 20035

About D. Hush

D. Hush is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Blind Source Separation Techniques (6 papers), Advanced SAR Imaging Techniques (6 papers), Fuzzy Logic and Control Systems (5 papers), Advanced Adaptive Filtering Techniques (5 papers), Structural Health Monitoring Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Media Technology (305 citations), Signal Processing (337 citations), Computer Vision and Pattern Recognition (482 citations), Artificial Intelligence (750 citations) and Control and Systems Engineering (307 citations). D. Hush has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include B.G. Horne, Carol Wood, Patrick Kelly, Clint Scovel, Ingo Steinwart, T. M. Cannon, Michael Cannon, N. Ahmed, S.D. Stearns and Radu‐Codruţ David. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Aerospace and Electronic Systems, Journal of Optimization Theory and Applications, The Journal of the Acoustical Society of America and IEEE Transactions on Information Theory.

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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