Charlene Ng

21 total papers · 819 total citations
18 papers, 715 citations indexed

About

Charlene Ng is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Charlene Ng has authored 18 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Renewable Energy, Sustainability and the Environment, 8 papers in Electrical and Electronic Engineering and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Charlene Ng's work include Advanced Photocatalysis Techniques (8 papers), Transition Metal Oxide Nanomaterials (7 papers) and Gas Sensing Nanomaterials and Sensors (6 papers). Charlene Ng is often cited by papers focused on Advanced Photocatalysis Techniques (8 papers), Transition Metal Oxide Nanomaterials (7 papers) and Gas Sensing Nanomaterials and Sensors (6 papers). Charlene Ng collaborates with scholars based in Australia, Germany and Singapore. Charlene Ng's co-authors include Rose Amal, Yun Hau Ng, Akihide Iwase, Daniel E. Gómez, Ann Roberts, Jason Scott, Xiaoli Zhang, Hao Tian, Changhui Ye and Timothy J. Davis and has published in prestigious journals such as Advanced Functional Materials, Langmuir and ACS Applied Materials & Interfaces.

In The Last Decade

Charlene Ng

18 papers receiving 710 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Charlene Ng	383	329	311	193	163	18	715
Robert M. Pasquarelli	275 0.7×	485 1.5×	534 1.7×	101 0.5×	117 0.7×	24	883
Wenyu Shi	186 0.5×	382 1.2×	327 1.1×	288 1.5×	55 0.3×	25	781
Kongyang Yi	167 0.4×	494 1.5×	352 1.1×	135 0.7×	96 0.6×	17	877
R.M. Stevanović	296 0.8×	308 0.9×	570 1.8×	100 0.5×	106 0.7×	23	845
Jayanta Mondal	140 0.4×	379 1.2×	261 0.8×	299 1.5×	79 0.5×	21	697
Jianyu Yu	516 1.3×	339 1.0×	240 0.8×	162 0.8×	31 0.2×	22	892
Yanying Shi	436 1.1×	211 0.6×	393 1.3×	194 1.0×	170 1.0×	19	864
A. M. Andersson	131 0.3×	268 0.8×	389 1.3×	54 0.3×	446 2.7×	22	807
Anna T. Valota	382 1.0×	568 1.7×	374 1.2×	114 0.6×	159 1.0×	12	883
Shan X. Wang	149 0.4×	394 1.2×	263 0.8×	163 0.8×	107 0.7×	19	851

Countries citing papers authored by Charlene Ng

Since Specialization

Citations

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

Fields of papers citing papers by Charlene Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlene Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Charlene Ng. A scholar is included among the top collaborators of Charlene Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charlene Ng. Charlene Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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