Bhan Lam
Impact in
- Speech and Hearing top 0.5%
- Noise Effects and Management
- Signal Processing top 1%
- Speech and Audio Processing
Papers in
-
- Hearing Loss and Rehabilitation 43
-
- Acoustic Wave Phenomena Research 42
- Co-authors
- Woon‐Seng Gan (64 shared papers)Dongyuan Shi (28 shared papers)Kenneth Ooi (25 shared papers)Joo Young Hong (17 shared papers)Zhen-Ting Ong (19 shared papers)Stephen N. Elliott (7 shared papers)Shulin Wen (6 shared papers)Chuang Shi (6 shared papers)
- Journals
- Building and Environment (7 papers)IEEE Signal Processing Letters (5 papers)Applied Acoustics (5 papers)The Journal of the Acoustical Society of America (4 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (4 papers)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
Bhan Lam
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Speech and Hearing 562
- Signal Processing 481
- Computational Mechanics 637
- Cognitive Neuroscience 466
- Health, Toxicology and Mutagenesis 216
Countries citing papers authored by Bhan Lam
This map shows the geographic impact of Bhan 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 Bhan Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhan Lam more than expected).
Fields of papers citing papers by Bhan Lam
This network shows the impact of papers produced by Bhan 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 Bhan Lam. The network helps show where Bhan Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Bhan Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 94 | |
| 2 | 2019 | 90 | |
| 3 | 2018 | 79 | |
| 4 | 2017 | 71 | |
| 5 | 2020 | 62 | |
| 6 | 2020 | 59 | |
| 7 | 2018 | 56 | |
| 8 | 2021 | 55 | |
| 9 | 2018 | 53 | |
| 10 | 2019 | 43 | |
| 11 | 2020 | 41 | |
| 12 | 2021 | 40 | |
| 13 | 2018 | 38 | |
| 14 | 2020 | 38 | |
| 15 | 2019 | 33 | |
| 16 | 2018 | 32 | |
| 17 | 2020 | 26 | |
| 18 | 2021 | 25 | |
| 19 | 2016 | 24 | |
| 20 | 2022 | 21 |
About Bhan Lam
Bhan Lam is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Speech and Hearing, Computational Mechanics and Signal Processing, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (43 papers), Acoustic Wave Phenomena Research (42 papers), Noise Effects and Management (36 papers), Advanced Adaptive Filtering Techniques (30 papers), Speech and Audio Processing (23 papers), Vehicle Noise and Vibration Control (9 papers), Urban Green Space and Health (3 papers) and Aerodynamics and Acoustics in Jet Flows (2 papers). The work is most often cited by research in Speech and Hearing (562 citations), Signal Processing (481 citations), Computational Mechanics (637 citations), Cognitive Neuroscience (466 citations) and Health, Toxicology and Mutagenesis (216 citations). Bhan Lam has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Woon‐Seng Gan, Dongyuan Shi, Kenneth Ooi, Joo Young Hong, Zhen-Ting Ong, Stephen N. Elliott, Shulin Wen, Chuang Shi, Xiaoyi Shen and Jian Kang. Their work appears in journals such as Building and Environment, IEEE Signal Processing Letters, Applied Acoustics, The Journal of the Acoustical Society of America and IEEE/ACM Transactions on Audio Speech and Language 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.