Andy W. H. Khong

1.8k citations
143 papers · 1.2k indexed · h-index 19

Andy W. H. Khong

134 papers receiving 1.1k citations

Peers

Andy W. H. Khong
Comparison fields: 5 of 73
  • Signal Processing 821
  • Computational Mechanics 567
  • Computer Science Applications 34
  • Artificial Intelligence 201
  • Oceanography 73
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Citations per year

Countries citing papers authored by Andy W. H. Khong

Since Specialization
Citations

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

Fields of papers citing papers by Andy W. H. Khong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy W. H. Khong. 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 Andy W. H. Khong. The network helps show where Andy W. H. Khong may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20250
5 20250
6 20241
7 20240
8 20239
9 202320
10 20234
11 202116
12 20218
13 202114
14
A Joint-Loss Approach for Speech Enhancement via Single-channel Neural Network and MVDR Beamformer
20201
15 201839
16
Toward the Automatic Labeling of Course Questions for Ensuring Their Alignment with Learning Outcomes.
201713
17
A subspace-based adaptive approach for multichannel equalization of room acoustics
20113
18
Frequency-domain adaptive multidelay algorithm with sparseness control for acoustic echo cancellation
20092
19
Acoustic system equalization using channel shortening techniques for speech dereverberation
20093
20
A sparseness controlled proportionate algorithm for acoustic echo cancellation
200811

About Andy W. H. Khong

Andy W. H. Khong is a scholar working on Signal Processing, Computational Mechanics and Computer Science Applications, having authored 143 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (99 papers), Advanced Adaptive Filtering Techniques (69 papers), Blind Source Separation Techniques (50 papers), Indoor and Outdoor Localization Technologies (21 papers), Music and Audio Processing (11 papers), Speech Recognition and Synthesis (11 papers), Direction-of-Arrival Estimation Techniques (10 papers) and Structural Health Monitoring Techniques (7 papers). The work is most often cited by research in Signal Processing (821 citations), Computational Mechanics (567 citations) and Computer Science Applications (34 citations). Andy W. H. Khong has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Patrick A. Naylor, V. G. Reju, Sivanagaraja Tatinati, Boon Poh Ng, Xiang Lin, Jacob Benesty, Yuan Liu, Woon‐Seng Gan, Sanjeev Khudanpur and Hexin Liu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Signal Processing.

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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