D. Lee

2.7k total citations · 1 hit paper
28 papers, 1.6k citations indexed

About

D. Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Software. According to data from OpenAlex, D. Lee has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Software. Recurrent topics in D. Lee's work include Software Testing and Debugging Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Machine Learning and Algorithms (5 papers). D. Lee is often cited by papers focused on Software Testing and Debugging Techniques (8 papers), Image and Signal Denoising Methods (6 papers) and Machine Learning and Algorithms (5 papers). D. Lee collaborates with scholars based in United States and South Korea. D. Lee's co-authors include Mihalis Yannakakis, Y. Vardi, Alfred V. Aho, Anton Dahbura, M. Ümit Uyar, T. Pavlidis, Krishan Sabnani, David M. Kristol, S. Paul and G.W. Wasilkowski and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

D. Lee

24 papers receiving 1.5k citations

Hit Papers

Principles and methods of testing finite state machines-a... 1996 2026 2006 2016 1996 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Principles and methods of testing finite state machines-a survey
    1996 694 citations D. Lee, Mihalis Yannakakis Proceedings of the IEEE profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Lee United States 11 1.0k 467 390 390 258 28 1.6k
Michael G. Thomason United States 16 288 0.3× 164 0.4× 85 0.2× 334 0.9× 324 1.3× 53 1.0k
Thomas Noll Germany 19 163 0.2× 317 0.7× 313 0.8× 263 0.7× 320 1.2× 135 1.2k
Junfeng Yang United States 25 757 0.7× 131 0.3× 381 1.0× 702 1.8× 904 3.5× 84 2.6k
W. M. McKeeman United States 11 325 0.3× 186 0.4× 190 0.5× 298 0.8× 140 0.5× 25 821
Chris Lattner United States 14 506 0.5× 193 0.4× 1.6k 4.2× 1.0k 2.6× 1.1k 4.3× 20 2.6k
Louis-Noël Pouchet United States 23 249 0.2× 171 0.4× 1.3k 3.3× 361 0.9× 977 3.8× 74 1.8k
Warren A. Hunt United States 19 119 0.1× 368 0.8× 292 0.7× 319 0.8× 98 0.4× 72 1.1k
Gianfranco Bilardi United States 17 74 0.1× 320 0.7× 516 1.3× 317 0.8× 621 2.4× 74 1.2k
David J. Kuck United States 25 253 0.2× 713 1.5× 2.3k 5.9× 464 1.2× 2.1k 8.1× 69 3.4k
Torbjörn Ekman Norway 27 305 0.3× 114 0.2× 124 0.3× 565 1.4× 814 3.2× 107 2.0k

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 of co-authors of D. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of D. Lee. A scholar is included among the top collaborators of D. Lee 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 D. Lee. D. Lee 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.
Park, Jong Wan, et al.. (2025). Prediction of late-onset depression in the elderly Korean population using machine learning algorithms. Scientific Reports. 15(1). 1196–1196.
2.
Lee, D., et al.. (2003). Edge detection through residual analysis. 215–222. 6 indexed citations
3.
Lee, D.. (2003). Edge detection, classification, and measurement. 30. 2–10. 1 indexed citations
4.
Lee, D., Anargyros Papageorgiou, & G.W. Wasilkowski. (2003). Computing optical flow. 99–106. 2 indexed citations
5.
Lee, D. & G.W. Wasilkowski. (2002). Discontinuity detection and thresholding-a stochastic approach. 208–214. 2 indexed citations
6.
Lee, D. & Krishan Sabnani. (2002). Reverse-engineering of communication protocols. c 17. 208–216. 8 indexed citations
7.
Lee, D., Krishan Sabnani, David M. Kristol, S. Paul, & Meltem Uyar. (2002). Conformance testing of protocols specified as communicating FSMs. 115–127. 6 indexed citations
8.
Agrawal, Vishwani D. & D. Lee. (2002). Characteristic polynomial method for verification and test of combinational circuits. 341–342. 10 indexed citations
9.
Lee, D., et al.. (2002). Performance and correctness of the ATM ABR rate control scheme. 2. 785–794. 2 indexed citations
10.
Lee, D., Krishan Sabnani, David M. Kristol, & S. Paul. (1996). Conformance testing of protocols specified as communicating finite state machines-a guided random walk based approach. IEEE Transactions on Communications. 44(5). 631–640. 51 indexed citations
11.
Lee, D. & Mihalis Yannakakis. (1996). Principles and methods of testing finite state machines-a survey. Proceedings of the IEEE. 84(8). 1090–1123. 694 indexed citations breakdown →
12.
Yannakakis, Mihalis & D. Lee. (1995). Testing Finite State Machines: Fault Detection. Journal of Computer and System Sciences. 50(2). 209–227. 45 indexed citations
13.
Lee, D., Arun N. Netravali, & Krishan Sabnani. (1995). Protocol pruning. Proceedings of the IEEE. 83(10). 1357–1372. 3 indexed citations
14.
Lee, D. & Mihalis Yannakakis. (1994). Testing finite-state machines: state identification and verification. IEEE Transactions on Computers. 43(3). 306–320. 177 indexed citations
15.
Lee, D., G.W. Wasilkowski, & R. Mehrotra. (1993). A new zero-crossing-based discontinuity detector. IEEE Transactions on Image Processing. 2(2). 265–268. 6 indexed citations
16.
Kristol, David M., D. Lee, Arun N. Netravali, & Krishan Sabnani. (1993). A polynomial algorithm for gateway generation from formal specifications. IEEE/ACM Transactions on Networking. 1(2). 217–229. 9 indexed citations
17.
Lee, D., et al.. (1991). Residual analysis for feature detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 13(1). 30–40. 34 indexed citations
18.
Lee, D.. (1990). Coping with discontinuities in computer vision: their detection, classification, and measurement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 12(4). 321–344. 45 indexed citations
19.
Lee, D. & T. Pavlidis. (1988). One-dimensional regularization with discontinuities. IEEE Transactions on Pattern Analysis and Machine Intelligence. 10(6). 822–829. 54 indexed citations
20.
Lee, D., T. Pavlidis, & G.W. Wasilkowski. (1987). A note on the trade-off between sampling and quantization in signal processing. Journal of Complexity. 3(4). 359–371. 10 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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