K.L. Ho

1.2k citations
65 papers · 863 indexed · h-index 16

K.L. Ho

59 papers receiving 803 citations

Peers

K.L. Ho
Comparison fields: 5 of 54
  • Signal Processing 706
  • Computer Vision and Pattern Recognition 390
  • Computational Mechanics 333
  • Computational Theory and Mathematics 133
  • Applied Mathematics 40
Replace R. Mersereau with:
R. Mersereau United States
M. Narasimha United States
Per Löwenborg Sweden
L. Jackson United States
D. Chan United States
G.A. Mian Italy
Phillip A. Regalia United States
D. Duttweiler United States
O. Herrmann Germany
Yuan-Pei Lin Taiwan
K.L. Ho relative to R. Mersereau United States R. Mersereau's profile →
Citations per field
00.5×6.3×
R. Mersereau · 1×
Citations per year

Countries citing papers authored by K.L. Ho

Since Specialization
Citations

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

Fields of papers citing papers by K.L. Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside K.L. Ho, 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 K.L. Ho Line = papers co-authored together K.L. Ho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201077
2 200813
3 20074
4
A new LMS/Newton algorithm for robust adaptive filtering in impulsive noise
20042
5 20047
6 200336
7 20030
8 20034
9 20027
10 20025
11 20020
12 200210
13 20011
14
Multiplier-less low-delay FIR and IIR wavelet filter banks with SOPOT coefficients
20003
15 200016
16 199813
17 19954
18 19931
19 19904
20 19896

About K.L. Ho

K.L. Ho is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 65 papers that have together received 863 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (41 papers), Image and Signal Denoising Methods (32 papers), Advanced Adaptive Filtering Techniques (17 papers), Speech and Audio Processing (12 papers), Direction-of-Arrival Estimation Techniques (9 papers), Blind Source Separation Techniques (8 papers), Numerical Methods and Algorithms (8 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Signal Processing (706 citations), Computer Vision and Pattern Recognition (390 citations) and Computational Mechanics (333 citations). K.L. Ho has collaborated with scholars based in Hong Kong, Germany and China. Frequent co-authors include S. C. Chan, Carson Pun, Sam Chan, Yi Zhou, K.S. Yeung, Wei Liu, Jieming Mao, Yik‐Chung Wu, K. C. Ho and Yongning Wen. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, Electronics Letters, IEEE Transactions on Consumer Electronics and IEEE Transactions on Industrial Electronics.

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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