William Ng

451 citations
29 papers · 322 · h-index 10

Impact in

    • Speech and Audio Processing
    • Direction-of-Arrival Estimation Techniques
    • Target Tracking and Data Fusion in Sensor Networks
    • Gaussian Processes and Bayesian Inference

Papers in

    • Target Tracking and Data Fusion in Sensor Networks 22
    • Gaussian Processes and Bayesian Inference 4
    • Bayesian Methods and Mixture Models 3
    • Underwater Acoustics Research 6

William Ng

28 papers receiving 299 citations

Peers

William Ng
Comparison fields: 5 of 46
  • Signal Processing 83
  • Artificial Intelligence 206
  • Oceanography 60
  • Ocean Engineering 58
  • Computer Networks and Communications 50
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Guanghui Xu China
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Citations per field
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Citations per year

Countries citing papers authored by William Ng

Since Specialization
Citations

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

Fields of papers citing papers by William Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside William Ng, 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 William Ng Line = papers co-authored together William Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200763
2 200254
3 200537
4 200829
5 200521
6 200921
7 200717
8 200515
9 200513
10 20069
11 20058
12 20065
13 20054
14
A Bayesian approach to tracking wideband targets using sensor arrays and particle filters
20033
15 20063
16 20043
17 20033
18 20072
19 20032
20 20072

About William Ng

William Ng is a scholar working on Artificial Intelligence, Oceanography, Signal Processing, Aerospace Engineering and Computer Networks and Communications, having authored 29 papers that have together received 322 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (22 papers), Underwater Acoustics Research (6 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Speech and Audio Processing (5 papers), Direction-of-Arrival Estimation Techniques (5 papers), Gaussian Processes and Bayesian Inference (4 papers), Infrared Target Detection Methodologies (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Signal Processing (83 citations), Artificial Intelligence (206 citations), Oceanography (60 citations), Ocean Engineering (58 citations) and Computer Networks and Communications (50 citations). William Ng has collaborated with scholars based in United Kingdom, Canada and South Sudan. Frequent co-authors include Simon Godsill, J. Vermaak, J.P. Reilly, Hing Cheung So, T. Kirubarajan, K. C. Ho, Chunlin Ji, Wing‐Kin Ma, K. Sandy Pang and Jack Li. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Signal Processing, Proceedings of the IEEE, Communications Biology and The Computer Journal.

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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