Kin-Che Lam

913 citations
32 papers · 736 · h-index 16

Impact in

Papers in

Kin-Che Lam

32 papers receiving 686 citations

Peers

Kin-Che Lam
Comparison fields: 5 of 80
  • Speech and Hearing 373
  • Health, Toxicology and Mutagenesis 243
  • Automotive Engineering 173
  • Transportation 54
  • Building and Construction 108
Replace Stylianos Kephalopoulos with:
Stylianos Kephalopoulos Italy
U.W. Tang Macao
Meta Berghauser Pont Sweden
Ulrike Wissen Hayek Switzerland
Hasan Yılmaz Türkiye
Sasha Khomenko Spain
Evelise Pereira Barboza Spain
Christopher A. Ollson Canada
Ritesh Vijay India
Bumseok Chun United States
Kin-Che Lam relative to Stylianos Kephalopoulos Italy Stylianos Kephalopoulos's profile →
Citations per field
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Stylianos Kephalopoulos · 1×
Citations per year

Countries citing papers authored by Kin-Che Lam

Since Specialization
Citations

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

Fields of papers citing papers by Kin-Che Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kin-Che 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 Kin-Che Lam Line = papers co-authored together Kin-Che Lam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200584
2 200281
3 200876
4 201048
5 201147
6 199843
7 201241
8 200038
9 201030
10 199826
11 201323
12 201322
13 200821
14 200921
15 201219
16 201215
17 199713
18 200812
19 200911
20 201410

About Kin-Che Lam

Kin-Che Lam is a scholar working on Speech and Hearing, Biomedical Engineering, Automotive Engineering, Health, Toxicology and Mutagenesis and Cognitive Neuroscience, having authored 32 papers that have together received 736 indexed citations. Recurring topics across this work include Noise Effects and Management (20 papers), Acoustic Wave Phenomena Research (10 papers), Hearing Loss and Rehabilitation (6 papers), Vehicle Noise and Vibration Control (5 papers), Environmental and Social Impact Assessments (5 papers), Urban Green Space and Health (4 papers), Atmospheric chemistry and aerosols (3 papers) and Mining and Resource Management (3 papers). The work is most often cited by research in Speech and Hearing (373 citations), Health, Toxicology and Mutagenesis (243 citations), Automotive Engineering (173 citations), Transportation (54 citations) and Building and Construction (108 citations). Kin-Che Lam has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Sai Leung Ng, Tin-Cheung Chan, Shu Tao, Jun Cao, R.W. Dawson, Bengang Li, Weichun Ma, Yu Qi, Xiaopeng Fan and Lawal M. Marafa. Their work appears in journals such as Applied Acoustics, The Journal of the Acoustical Society of America, Transportation Research Part D Transport and Environment, Environmental Monitoring and Assessment and Atmospheric Environment.

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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