Soo Ngee Koh

1.3k total citations
76 papers, 881 citations indexed

About

Soo Ngee Koh is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Soo Ngee Koh has authored 76 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Signal Processing, 33 papers in Computational Mechanics and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Soo Ngee Koh's work include Speech and Audio Processing (46 papers), Advanced Adaptive Filtering Techniques (33 papers) and Advanced Data Compression Techniques (27 papers). Soo Ngee Koh is often cited by papers focused on Speech and Audio Processing (46 papers), Advanced Adaptive Filtering Techniques (33 papers) and Advanced Data Compression Techniques (27 papers). Soo Ngee Koh collaborates with scholars based in Singapore, Australia and United Kingdom. Soo Ngee Koh's co-authors include Ing Yann Soon, Susanto Rahardja, Chai Kiat Yeo, V. G. Reju, Chang Hu, Xiaobei Liu, Chang Huai You, Xin-Wen Wu, Yaw Chyn Lim and Rui Yang and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and Neurocomputing.

In The Last Decade

Soo Ngee Koh

70 papers receiving 801 citations

Peers

Soo Ngee Koh
Comparison fields: 5 of 61
  • Signal Processing 695
  • Computational Mechanics 427
  • Computer Vision and Pattern Recognition 206
  • Artificial Intelligence 190
  • Electrical and Electronic Engineering 119
Replace T.V. Sreenivas with:
T.V. Sreenivas India
Dae Hee Youn South Korea
Athanasios P. Liavas Greece
Athanasios Mouchtaris Greece
Jan Skoglund United States
Pascal Scalart France
Vanessa Su Lee Goh United Kingdom
Zbyněk Koldovský Czechia
Daniele Angelosante Italy
A.A. Beex United States
T.V. Sreenivas India View profile →
Citations per field, relative to Soo Ngee Koh
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Citations per year, relative to Soo Ngee Koh
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Countries citing papers authored by Soo Ngee Koh

Since Specialization
Citations

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

Fields of papers citing papers by Soo Ngee Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo Ngee Koh. 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 Soo Ngee Koh. The network helps show where Soo Ngee Koh may publish in the future.

Co-authorship network of co-authors of Soo Ngee Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Soo Ngee Koh. A scholar is included among the top collaborators of Soo Ngee Koh 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 Soo Ngee Koh. Soo Ngee Koh 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
# Work Indexed citations
1 12
2 27
3 5
4
Improved Adaptive β-Order MMSE Speech Enhancement
2
5 3
6 5
7 8
8 2
9 94
10
Memory-Enhanced MMSE Decoding in vector quantization
1
11 20
12 0
13
Error Concealment Using Residual Redundancy for MELP Parameters
2
14 4
15 25
16 5
17 4
18 2
19 2
20 5

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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