Ka‐Ming Wai

623 citations
22 papers · 496 · h-index 13

Impact in

Papers in

Ka‐Ming Wai

21 papers receiving 489 citations

Peers

Ka‐Ming Wai
Comparison fields: 5 of 73
  • Health, Toxicology and Mutagenesis 279
  • Environmental Engineering 153
  • Atmospheric Science 158
  • Pollution 96
  • Radiological and Ultrasound Technology 33
Replace Elson Silva Galvão with:
Elson Silva Galvão Brazil
Víctor Vidal Chile
Takatoshi Hiraki Japan
Anna Buczynska Belgium
Noorlin Mohamad Malaysia
Ðanilo Custódio Portugal
Flávio Wiegand Brazil
Ruojie Zhao China
Ștefania Iordache Romania
Lisa D. Sabin United States
Ka‐Ming Wai relative to Elson Silva Galvão Brazil Elson Silva Galvão's profile →
Citations per field
00.5×10×16.5×
Elson Silva Galvão · 1×
Citations per year

Countries citing papers authored by Ka‐Ming Wai

Since Specialization
Citations

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

Fields of papers citing papers by Ka‐Ming Wai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ka‐Ming Wai, 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 Ka‐Ming Wai Line = papers co-authored together Ka‐Ming Wai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 201957
3 201347
4 201536
5 201235
6 202033
7 201233
8 200332
9 200529
10 201922
11 201521
12 201719
13 202115
14 201710
15 20238
16 20148
17 20098
18 20107
19 20146
20 20252

About Ka‐Ming Wai

Ka‐Ming Wai is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Global and Planetary Change, Environmental Engineering and Radiological and Ultrasound Technology, having authored 22 papers that have together received 496 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (9 papers), Urban Heat Island Mitigation (8 papers), Atmospheric aerosols and clouds (5 papers), Urban Green Space and Health (2 papers), Wind and Air Flow Studies (2 papers), Noise Effects and Management (2 papers) and Radioactive contamination and transfer (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (279 citations), Environmental Engineering (153 citations), Atmospheric Science (158 citations), Pollution (96 citations) and Radiological and Ultrasound Technology (33 citations). Ka‐Ming Wai has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Peter A. Tanner, K.N. Yu, A Lai, K. D. Perry, Xueling Li, Shiliang Wu, Daniel A. Jaffe, Xuehua Zhou, Yan Wang and Wenxing Wang. Their work appears in journals such as The Science of The Total Environment, Atmospheric Environment, Environmental Research, Scientific Reports and International Journal of Environmental Research and Public Health.

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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