D. Lee

4.1k citations
18 papers · 2.6k indexed · 1 hit paper · h-index 9

D. Lee

17 papers receiving 2.4k citations

Hit Papers

Query by image and video content: the QBIC system2.0k199520262005201550010001.5k

Peers

D. Lee
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 2.1k
  • Signal Processing 668
  • Media Technology 201
  • Computational Mechanics 336
  • Artificial Intelligence 336
Replace Dao‐Qing Dai with:
Dao‐Qing Dai China
Bede Liu United States
Vladimír Britaňák Slovakia
G.L. Wise United States
A. Venetsanopoulos Canada
J.W. Modestino United States
Peder A. Olsen United States
A. Ben Hamza Canada
V. Cappellini Italy
Olivier Delalleau Canada
D. Lee relative to Dao‐Qing Dai China Dao‐Qing Dai's profile →
Citations per field
00.5×1.5×1.9×
Dao‐Qing Dai · 1×
Citations per year

Countries citing papers authored by D. Lee

Since Specialization
Citations

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

Fields of papers citing papers by D. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. Lee, 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. Lee Line = papers co-authored together D. Lee links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20082
2 20058
3 20053
4 200349
5 20027
6 200210
7 19965
8 19960
9
Query by image and video content: the QBIC systembreakdown →
19951985
10 19832
11 198257
12 198196
13 19813
14 1981246
15 197875
16 197762
17 197415
18
SU(4) VAN DER WAERDEN INVARIANT.
19711

About D. Lee

D. Lee is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 18 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Numerical Methods and Algorithms (3 papers), Control Systems and Identification (3 papers), Data Management and Algorithms (3 papers), Direction-of-Arrival Estimation Techniques (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Signal Processing (668 citations) and Media Technology (201 citations). D. Lee has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include M. Morf, Myron Flickner, John W. Hafner, W. Niblack, Dragutin Petković, David A. Steele, Harpreet Sawhney, M. Gorkani, J. Ashley and Qian Huang. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory, Computer, IEEE Transactions on Circuits and Systems and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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