May Ling Ng

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

Impact in

Papers in

May Ling Ng

33 papers receiving 2.2k citations

Peers

May Ling Ng
Comparison fields: 5 of 55
  • Renewable Energy, Sustainability and the Environment 672
  • Materials Chemistry 1.5k
  • Electrochemistry 176
  • Electrical and Electronic Engineering 958
  • Atomic and Molecular Physics, and Optics 458
Replace Jochim Stettner with:
Jochim Stettner Germany
B. S. Mun United States
Tanja Cuk United States
Moonsup Han South Korea
G. P. Das India
Florian Mittendorfer Austria
Hideharu Niwa Japan
J. K. N�rskov Denmark
Jonas Ø. Hansen Denmark
Ronnie T. Vang Denmark
May Ling Ng relative to Jochim Stettner Germany Jochim Stettner's profile →
Citations per field
00.5×4.0×
Jochim Stettner · 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 2014455
2 2008412
3 2007140
4 2011124
5 2007115
6 200897
7 201493
8 201581
9 201478
10 201077
11 201161
12 200856
13 201144
14 200339
15 200838
16 201432
17 200930
18 202026
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), Surface and Thin Film Phenomena (6 papers), Boron and Carbon Nanomaterials Research (6 papers), Advanced X-ray Imaging Techniques (6 papers), Advanced Photocatalysis Techniques (4 papers), Catalytic Processes in Materials Science (4 papers), 2D Materials and Applications (3 papers) and Adaptive optics and wavefront sensing (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (672 citations), Materials Chemistry (1.5k citations), Electrochemistry (176 citations), Electrical and Electronic Engineering (958 citations) and Atomic and Molecular Physics, and Optics (458 citations). May Ling Ng has collaborated with scholars based in United States, Sweden and Russia. Frequent co-authors include Alexei Preobrajenski, А. С. Виноградов, N. Mårtensson, Hirohito Ogasawara, Anders Nilsson, Sarp Kaya, Daniel Friebel, Anders Mikkelsen, Edvin Lundgren and Nikolay A. Vinogradov. Their work appears in journals such as Physical Review B, Surface Science, The Journal of Physical Chemistry C, The Journal of Physical Chemistry Letters and Optics Express.

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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