Antony Lam

44 papers receiving 701 citations

Peers

Antony Lam
Comparison fields: 5 of 50
  • Media Technology 161
  • Computational Mathematics 9
  • Computer Vision and Pattern Recognition 286
  • Acoustics and Ultrasonics 10
  • Biomedical Engineering 158
Replace Yuzhi Zhao with:
Yuzhi Zhao Hong Kong
Marco Buzzelli Italy
Takuya Funatomi Japan
Takayuki Hamamoto Japan
Rajeev Ramanath United States
Yun‐Ta Tsai United States
Chun Qi China
Vlad Branzoi United States
Olivier Losson France
Antony Lam relative to Yuzhi Zhao Hong Kong Yuzhi Zhao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Antony Lam

Since Specialization
Citations

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

Fields of papers citing papers by Antony Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015150
2 2017102
3 201880
4 201660
5 201536
6 201318
7 201918
8
Denoising Hyperspectral Images Using Spectral Domain Statistics
201217
9 201316
10 201916
11 201515
12 201614
13 201513
14 201613
15 201512
16 201512
17 201711
18 202111
19 20149
20 20118

About Antony Lam

Antony Lam is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology, Analytical Chemistry and Occupational Therapy, having authored 45 papers that have together received 725 indexed citations. Recurring topics across this work include Color Science and Applications (12 papers), Video Surveillance and Tracking Methods (6 papers), Social Robot Interaction and HRI (5 papers), Remote-Sensing Image Classification (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Image and Signal Denoising Methods (3 papers), Robotics and Sensor-Based Localization (3 papers) and Assistive Technology in Communication and Mobility (3 papers). The work is most often cited by research in Media Technology (161 citations), Computational Mathematics (9 citations), Computer Vision and Pattern Recognition (286 citations), Acoustics and Ultrasonics (10 citations) and Biomedical Engineering (158 citations). Antony Lam has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Yoshinori Kuno, Imari Sato, Yoichi Sato, Ying Fu, Yoshinori Kobayashi, Yinqiang Zheng, Lin Gu, Yan Min Jia, Nobutaka Ono and Takahiro Okabe. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Array and Sensors.

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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