Andrew K. Chan

1.4k total citations
61 papers, 1.1k citations indexed

About

Andrew K. Chan is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Andrew K. Chan has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 11 papers in Atomic and Molecular Physics, and Optics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Andrew K. Chan's work include Image and Signal Denoising Methods (24 papers), Advanced Data Compression Techniques (9 papers) and Seismic Imaging and Inversion Techniques (6 papers). Andrew K. Chan is often cited by papers focused on Image and Signal Denoising Methods (24 papers), Advanced Data Compression Techniques (9 papers) and Seismic Imaging and Inversion Techniques (6 papers). Andrew K. Chan collaborates with scholars based in United States and Hong Kong. Andrew K. Chan's co-authors include Charles K. Chui, Jaideva C. Goswami, Minsheng Wang, Zhen Lei, Dmitri Loguinov, Min Dai, Leung Tsang, Charles K. Chui, Rubens A. Sigelmann and C. Steve Suh and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Andrew K. Chan

60 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew K. Chan United States 15 461 172 148 148 147 61 1.1k
C.W. Therrien United States 14 343 0.7× 187 1.1× 121 0.8× 223 1.5× 136 0.9× 57 1.1k
A.E. Yagle United States 19 324 0.7× 64 0.4× 46 0.3× 161 1.1× 70 0.5× 142 1.2k
Fiorella Sgallari Italy 22 629 1.4× 56 0.3× 57 0.4× 144 1.0× 66 0.4× 89 1.7k
G. Jacovitti Italy 13 213 0.5× 95 0.6× 105 0.7× 231 1.6× 91 0.6× 54 814
Serena Morigi Italy 20 488 1.1× 50 0.3× 61 0.4× 123 0.8× 71 0.5× 83 1.4k
G. Demoment France 10 264 0.6× 79 0.5× 46 0.3× 69 0.5× 53 0.4× 35 727
Ole Tingleff United States 4 212 0.5× 80 0.5× 183 1.2× 183 1.2× 123 0.8× 5 924
Alexey Castrodad United States 7 411 0.9× 133 0.8× 168 1.1× 302 2.0× 38 0.3× 12 1.5k
Cornel Ioana France 18 192 0.4× 95 0.6× 248 1.7× 243 1.6× 163 1.1× 117 966
Stefan L. Hahn Poland 9 213 0.5× 36 0.2× 48 0.3× 154 1.0× 171 1.2× 20 757

Countries citing papers authored by Andrew K. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Andrew K. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew K. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew K. Chan. A scholar is included among the top collaborators of Andrew K. Chan 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 Andrew K. Chan. Andrew K. Chan 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.
Dai, Min, Andrew K. Chan, & Dmitri Loguinov. (2004). Rate-distorton analysis and traffic modeling of scalable video coders. 1 indexed citations
2.
Xu, Peng, Min Dai, & Andrew K. Chan. (2004). A comparison on texture classification algorithms for remote sensing data. 2. 1057–1060. 3 indexed citations
3.
Jensen, Jerry L., et al.. (2004). Detection of Cyclic Patterns Using Wavelets: An Example Study in the Ormskirk Sandstone, Irish Sea. Mathematical Geology. 36(5). 529–543. 16 indexed citations
4.
Dai, Min, et al.. (2004). Bayesian wavelet shrinkage with edge detection for SAR image despeckling. IEEE Transactions on Geoscience and Remote Sensing. 42(8). 1642–1648. 126 indexed citations
5.
Yu, Yi, et al.. (2004). Non-contact ultrasonic inspection of medical catheters for polymeric bond defects. Materials & Design (1980-2015). 25(7). 603–614. 11 indexed citations
6.
Chan, Andrew K., et al.. (2003). Fast and robust neural network based wheel bearing fault detection with optimal wavelet features. 2076–2080. 9 indexed citations
7.
Chan, Andrew K. & Cheng Peng. (2003). Wavelets for Sensing Technologies. Medical Entomology and Zoology. 16 indexed citations
8.
Chan, Andrew K., et al.. (2002). Microcalcification cluster detection in digitized mammograms using multiscale techniques. ajr a65. 23–28. 4 indexed citations
9.
10.
Yang, Baozhong, C. Steve Suh, & Andrew K. Chan. (2001). Characterization and Detection of Crack-induced Rotary Instability. Journal of vibration and acoustics. 124(1). 40–48. 20 indexed citations
11.
Zheng, Lei, et al.. (1999). Detection of cancerous masses for screening mammography using discrete wavelet transform-based multiresolution Markov random field. Journal of Digital Imaging. 12(S1). 18–23. 10 indexed citations
12.
Wang, Minsheng, Andrew K. Chan, & Charles K. Chui. (1998). Linear frequency-modulated signal detection using Radon-ambiguity transform. IEEE Transactions on Signal Processing. 46(3). 571–586. 206 indexed citations
13.
Chan, Andrew K., et al.. (1997). <title>Neural pattern identification of railroad wheel-bearing faults from audible acoustic signals: comparison of FFT, CWT, and DWT features</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3078. 480–496. 44 indexed citations
14.
Goswami, Jaideva C., Andrew K. Chan, & Charles K. Chui. (1995). On solving first-kind integral equations using wavelets on a bounded interval. IEEE Transactions on Antennas and Propagation. 43(6). 614–622. 197 indexed citations
15.
Gong, Xiangtao, Andrew K. Chan, & H.F. Taylor. (1994). Lateral mode discrimination in surface emitting DBR lasers with cylindrical symmetry. IEEE Journal of Quantum Electronics. 30(5). 1212–1218. 17 indexed citations
16.
Chan, Andrew K., et al.. (1994). A local interpolatory cardinal spline method for the determination of eigenstates in quantum-well structures with arbitrary potential profiles. IEEE Journal of Quantum Electronics. 30(2). 269–274. 3 indexed citations
17.
Chan, Andrew K., et al.. (1993). A Theoretical Investigation Of Soliton Decoupling In Cross-Phase Modulation Systems. Integrated Photonics Research. 10. ITuF3–ITuF3. 1 indexed citations
18.
Chan, Andrew K., et al.. (1992). The design of an all‐optical spatial soliton switch in a lossy nonlinear medium. Microwave and Optical Technology Letters. 5(9). 433–439. 2 indexed citations
19.
Chan, Andrew K. & Henry F. Taylor. (1986). Diode laser structures for high power single-mode operation. Annual Meeting Optical Society of America. WR4–WR4. 1 indexed citations
20.
Tsang, Leung, Andrew K. Chan, & S. Gianzero. (1984). Solution of the fundamental problem in resistivity logging with a hybrid method. Geophysics. 49(10). 1596–1604. 22 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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