Wai Lam

9 papers and 551 indexed citations i.

About

Wai Lam is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wai Lam has authored 9 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wai Lam’s work include Reproductive Biology and Fertility (2 papers), Ovarian function and disorders (2 papers) and Allergic Rhinitis and Sensitization (1 paper). Wai Lam is often cited by papers focused on Reproductive Biology and Fertility (2 papers), Ovarian function and disorders (2 papers) and Allergic Rhinitis and Sensitization (1 paper). Wai Lam collaborates with scholars based in Hong Kong, United States and Singapore. Wai Lam's co-authors include Mohamed Youssef, Julie Brown, Reuben Olugbenga Ayeleke, Hesham Al-Inany, Frank J. Broekmans, Ahmed M Abou-Setta, Fei Fang, Andrew Lemieux, Bo An and Amandeep Singh and has published in prestigious journals such as Cochrane library, American Journal of Otolaryngology and International Journal of Dermatology.

In The Last Decade

Co-authorship network of co-authors of Wai Lam i

Fields of papers citing papers by Wai Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wai Lam

Since Specialization
Citations

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

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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