D. Chan

948 citations
18 papers · 498 · h-index 9

Impact in

Papers in

D. Chan

17 papers receiving 441 citations

Peers

D. Chan
Comparison fields: 5 of 58
  • Signal Processing 349
  • Computer Vision and Pattern Recognition 229
  • Computational Mechanics 208
  • Computational Theory and Mathematics 68
  • Aerospace Engineering 51
Replace K.L. Ho with:
K.L. Ho Hong Kong
Hans Wilhelm Schüßler Germany
M.D. Lutovac Serbia
Member Eurasip Switzerland
G.D. Cain United Kingdom
A. Deczky Canada
Jon Dattorro
O. Herrmann Germany
Liyan Qiao China
Charles M. Loeffler United States
D. Chan relative to K.L. Ho Hong Kong K.L. Ho's profile →
Citations per field
00.5×1.5×
K.L. Ho · 1×
Citations per year

Countries citing papers authored by D. Chan

Since Specialization
Citations

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

Fields of papers citing papers by D. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside D. Chan, 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. Chan Line = papers co-authored together D. Chan links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1973150
2 197791
3 197387
4 200528
5 197326
6 201025
7 198022
8 197317
9 197816
10
Symbolics ivory processor: a 40 bit tagged architecture lisp microprocessor.
19877
11
Kinematic Performance of NovAtel CORRECT with TerraStar-D Precise Point Positioning (PPP) Service
20146
12 20116
13 20125
14 19905
15 20053
16
A novel framework for the description of realization structures for 1-D and 2-D digital filters
19763
17 20051
18 19890

About D. Chan

D. Chan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics and Control and Systems Engineering, having authored 18 papers that have together received 498 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (9 papers), Image and Signal Denoising Methods (5 papers), Advanced Adaptive Filtering Techniques (5 papers), Air Traffic Management and Optimization (3 papers), Petri Nets in System Modeling (2 papers), Robotic Path Planning Algorithms (2 papers), Optical and Acousto-Optic Technologies (2 papers) and Infrared Target Detection Methodologies (2 papers). The work is most often cited by research in Signal Processing (349 citations), Computer Vision and Pattern Recognition (229 citations), Computational Mechanics (208 citations), Computational Theory and Mathematics (68 citations) and Aerospace Engineering (51 citations). D. Chan has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include L. R. Rabiner, James H. McClellan, O. Herrmann, H. A. Schuessler, D. B. Harris, Raj Subbu, Neil Weste, Bruce Edwards, Eric J. Nestler and Glen W. Brooksby. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Automatic Control, Bell System Technical Journal, IEEE Transactions on Circuits and Systems and IEEE Transactions on Audio and Electroacoustics.

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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