Kin Che Lam
Impact in
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- Radioactivity and Radon Measurements
- Pollution top 5%
- Heavy metals in environment
Papers in
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- Advanced Statistical Methods and Models 6
- Statistical Methods in Clinical Trials 4
- Statistical Distribution Estimation and Applications 2
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- Optimal Experimental Design Methods 7
- Co-authors
- Susanna T.Y. Tong (2 shared papers)Derrick Y.F. Lai (2 shared papers)Lex Brown (3 shared papers)Steven P. Mistilis (1 shared paper)G. Goldstein (1 shared paper)Sai Leung Ng (2 shared papers)Lung S. Chan (1 shared paper)Telfer B. Reynolds (1 shared paper)
- Journals
- The Science of The Total Environment (2 papers)Digestive Diseases and Sciences (2 papers)Applied Acoustics (2 papers)Environmental Monitoring and Assessment (2 papers)Biometrika (2 papers)
- Partner nations
- Hong KongUnited StatesAustralia
In The Last Decade
Kin Che Lam
33 papers receiving 905 citations
Peers
Comparison fields: 5 of 122
- Radiological and Ultrasound Technology 112
- Pollution 267
- Speech and Hearing 127
- Health, Toxicology and Mutagenesis 209
- Statistics and Probability 126
Countries citing papers authored by Kin Che Lam
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
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.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 141 | |
| 2 | 1973 | 90 | |
| 3 | 2009 | 86 | |
| 4 | 2003 | 82 | |
| 5 | 2008 | 71 | |
| 6 | 1998 | 59 | |
| 7 | 1987 | 57 | |
| 8 | 1981 | 55 | |
| 9 | 2015 | 46 | |
| 10 | 2003 | 44 | |
| 11 | 1988 | 29 | |
| 12 | 2013 | 25 | |
| 13 | 1990 | 24 | |
| 14 | 1989 | 20 | |
| 15 | 1986 | 20 | |
| 16 | 1987 | 18 | |
| 17 | 1992 | 15 | |
| 18 | 1980 | 14 | |
| 19 | 2009 | 11 | |
| 20 | 1976 | 10 |
About Kin Che Lam
Kin Che Lam is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Health, Toxicology and Mutagenesis and Speech and Hearing, having authored 33 papers that have together received 960 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (7 papers), Advanced Statistical Methods and Models (6 papers), Advanced Statistical Process Monitoring (5 papers), Noise Effects and Management (4 papers), Statistical Methods in Clinical Trials (4 papers), Heavy metals in environment (3 papers), Statistical Distribution Estimation and Applications (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (112 citations), Pollution (267 citations), Speech and Hearing (127 citations), Health, Toxicology and Mutagenesis (209 citations) and Statistics and Probability (126 citations). Kin Che Lam has collaborated with scholars based in Hong Kong, United States and Australia. Frequent co-authors include Susanna T.Y. Tong, Derrick Y.F. Lai, Lex Brown, Steven P. Mistilis, G. Goldstein, Sai Leung Ng, Lung S. Chan, Telfer B. Reynolds, Irene van Kamp and Hubert J. Chen. Their work appears in journals such as The Science of The Total Environment, Digestive Diseases and Sciences, Applied Acoustics, Environmental Monitoring and Assessment and Biometrika.
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.