May Ling Ng

2.8k citations
33 papers · 2.2k · h-index 21

Impact in

Papers in

May Ling Ng

32 papers receiving 2.1k citations

Peers

May Ling Ng
Comparison fields: 5 of 55
  • Renewable Energy, Sustainability and the Environment 665
  • Materials Chemistry 1.5k
  • Electrochemistry 175
  • Electrical and Electronic Engineering 956
  • Atomic and Molecular Physics, and Optics 458
Replace B. S. Mun with:
B. S. Mun United States
Mikhail Shipilin Sweden
Viktor Johánek Czechia
Baran Eren United States
Tanja Cuk United States
T. Sakamoto Japan
Moonsup Han South Korea
G. P. Das India
Florian Mittendorfer Austria
Hideharu Niwa Japan
May Ling Ng relative to B. S. Mun United States B. S. Mun's profile →
Citations per field
00.5×2.5×
B. S. Mun · 1×
Citations per year

Countries citing papers authored by May Ling Ng

Since Specialization
Citations

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

Fields of papers citing papers by May Ling Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May Ling Ng. 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 May Ling Ng. The network helps show where May Ling Ng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014448
2 2008411
3 2007140
4 2011124
5 2007115
6 200896
7 201492
8 201581
9 201478
10 201077
11 201161
12 200856
13 201144
14 200339
15 200838
16 201432
17 200930
18 202025
19 201024
20 201222

About May Ling Ng

May Ling Ng is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Radiation and Renewable Energy, Sustainability and the Environment, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Graphene research and applications (16 papers), Advanced X-ray Imaging Techniques (6 papers), Boron and Carbon Nanomaterials Research (6 papers), Surface and Thin Film Phenomena (6 papers), Catalytic Processes in Materials Science (4 papers), Advanced Photocatalysis Techniques (4 papers), Electrochemical Analysis and Applications (3 papers) and 2D Materials and Applications (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (665 citations), Materials Chemistry (1.5k citations), Electrochemistry (175 citations), Electrical and Electronic Engineering (956 citations) and Atomic and Molecular Physics, and Optics (458 citations). May Ling Ng has collaborated with scholars based in Sweden, United States and Russia. Frequent co-authors include Alexei Preobrajenski, А. С. Виноградов, N. Mårtensson, Anders Nilsson, Hirohito Ogasawara, Sarp Kaya, Daniel Friebel, Edvin Lundgren, Anders Mikkelsen and Nikolay A. Vinogradov. Their work appears in journals such as Physical Review B, Surface Science, The Journal of Physical Chemistry C, Optics Express and The Journal of Physical Chemistry Letters.

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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