Tat Loon Chng

770 total citations
39 papers, 588 citations indexed

About

Tat Loon Chng is a scholar working on Electrical and Electronic Engineering, Spectroscopy and Computational Mechanics. According to data from OpenAlex, Tat Loon Chng has authored 39 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 14 papers in Spectroscopy and 12 papers in Computational Mechanics. Recurrent topics in Tat Loon Chng's work include Plasma Applications and Diagnostics (12 papers), Plasma Diagnostics and Applications (11 papers) and Laser-induced spectroscopy and plasma (9 papers). Tat Loon Chng is often cited by papers focused on Plasma Applications and Diagnostics (12 papers), Plasma Diagnostics and Applications (11 papers) and Laser-induced spectroscopy and plasma (9 papers). Tat Loon Chng collaborates with scholars based in United States, France and Singapore. Tat Loon Chng's co-authors include Svetlana Starikovskaia, Richard B. Miles, Igor Adamovich, James Michael, Arthur Dogariu, Benjamin M. Goldberg, Jinsheng Cai, Marie‐Claire Schanne‐Klein, Her Mann Tsai and Yan Zeng and has published in prestigious journals such as Applied Physics Letters, Optics Letters and AIAA Journal.

In The Last Decade

Tat Loon Chng

36 papers receiving 552 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tat Loon Chng United States 15 338 289 179 174 121 39 588
N. B. Anikin Russia 10 359 1.1× 418 1.4× 153 0.9× 116 0.7× 69 0.6× 19 569
Kraig Frederickson United States 14 324 1.0× 310 1.1× 130 0.7× 180 1.0× 101 0.8× 46 561
Hyungrok Do United States 13 332 1.0× 510 1.8× 525 2.9× 510 2.9× 136 1.1× 21 935
Richard Gessman United States 10 162 0.5× 148 0.5× 63 0.4× 57 0.3× 72 0.6× 15 323
Saurabh Keshav United States 9 407 1.2× 486 1.7× 628 3.5× 468 2.7× 97 0.8× 16 960
Nicolas Minesi United States 10 209 0.6× 261 0.9× 140 0.8× 136 0.8× 72 0.6× 35 425
Sergey Shcherbanev Switzerland 13 330 1.0× 365 1.3× 205 1.1× 129 0.7× 33 0.3× 34 515
I. I. Esakov Russia 12 241 0.7× 288 1.0× 192 1.1× 148 0.9× 44 0.4× 94 442
Benjamin M. Goldberg United States 13 396 1.2× 351 1.2× 69 0.4× 74 0.4× 133 1.1× 30 547
Evgeny Mintusov United States 6 363 1.1× 462 1.6× 188 1.1× 112 0.6× 89 0.7× 10 548

Countries citing papers authored by Tat Loon Chng

Since Specialization
Citations

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

Fields of papers citing papers by Tat Loon Chng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tat Loon Chng. 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 Tat Loon Chng. The network helps show where Tat Loon Chng may publish in the future.

Co-authorship network of co-authors of Tat Loon Chng

This figure shows the co-authorship network connecting the top 25 collaborators of Tat Loon Chng. A scholar is included among the top collaborators of Tat Loon Chng 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 Tat Loon Chng. Tat Loon Chng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gandolfi, Marco, Evgeny Modin, Svetlana Starikovskaia, et al.. (2025). Anomalous frequency scaling of acoustic phonon damping in freestanding nickel cavities fabricated via laser delamination. Applied Physics Letters. 127(7).
2.
Chng, Tat Loon, et al.. (2025). A deep learning approach for electric field profile reconstruction based on the E-FISH method. Plasma Sources Science and Technology. 34(2). 02LT01–02LT01.
3.
Adamovich, Igor, et al.. (2022). Spatially enhanced electric field induced second harmonic (SEEFISH) generation for measurements of electric field distributions in high-pressure plasmas. Plasma Sources Science and Technology. 31(8). 85002–85002. 14 indexed citations
4.
Chng, Tat Loon, David Z Pai, Olivier Guaitella, Svetlana Starikovskaia, & Anne Bourdon. (2021). Effect of the electric field profile on the accuracy of E-FISH measurements in ionization waves. Plasma Sources Science and Technology. 31(1). 15010–15010. 22 indexed citations
5.
Chng, Tat Loon, et al.. (2020). TALIF measurements of atomic nitrogen in the afterglow of a nanosecond capillary discharge. Plasma Sources Science and Technology. 29(3). 35017–35017. 23 indexed citations
6.
Chng, Tat Loon, Arthur Dogariu, & Richard B. Miles. (2020). Remote Lasing in Humid Air from Atomic Hydrogen. AIAA Journal. 59(2). 636–643. 1 indexed citations
7.
8.
Chng, Tat Loon, et al.. (2020). Characterization of an optical pulse slicer for gas-phase electric field measurements using field-induced second harmonic generation. Journal of Instrumentation. 15(3). C03005–C03005. 5 indexed citations
9.
Chng, Tat Loon, Svetlana Starikovskaia, & Marie‐Claire Schanne‐Klein. (2020). Electric field measurements in plasmas: how focusing strongly distorts the E-FISH signal. Plasma Sources Science and Technology. 29(12). 125002–125002. 48 indexed citations
10.
Chng, Tat Loon, et al.. (2019). Electric field induced second harmonic (E-FISH) generation for characterization of fast ionization wave discharges at moderate and low pressures. Plasma Sources Science and Technology. 28(4). 45004–45004. 54 indexed citations
11.
Chng, Tat Loon, et al.. (2019). Atomic Nitrogen Density Measurements in a Nanosecond Capillary Discharge. AIAA Scitech 2019 Forum. 1 indexed citations
12.
Chng, Tat Loon, et al.. (2019). Electric field evolution in a diffuse ionization wave nanosecond pulse discharge in atmospheric pressure air. Plasma Sources Science and Technology. 28(9). 09LT02–09LT02. 65 indexed citations
13.
Kinefuchi, Kiyoshi, et al.. (2019). Two-photon absorption laser induced fluorescence with various laser intensities for density measurement of ground state neutral xenon. Acta Astronautica. 161. 382–388. 14 indexed citations
14.
Chng, Tat Loon. (2017). Remote Detection of Trace Species for Combustion and Atmospheric Magnetometry. 1 indexed citations
15.
McGuire, Sean, Arthur Dogariu, Tat Loon Chng, & Richard B. Miles. (2015). Methods for Enhancing Radar REMPI Sensitivity. 53rd AIAA Aerospace Sciences Meeting. 1 indexed citations
16.
Chng, Tat Loon & Richard B. Miles. (2014). Absolute concentration measurements of atomic oxygen in a flame using radar REMPI. 52nd Aerospace Sciences Meeting. 5 indexed citations
17.
Michael, James, Tat Loon Chng, & Richard B. Miles. (2013). Sustained propagation of ultra-lean methane/air flames with pulsed microwave energy deposition. Combustion and Flame. 160(4). 796–807. 62 indexed citations
18.
Zeng, Yan, T. H. New, & Tat Loon Chng. (2011). Flow behaviour of turbulent nozzle jets issuing from bevelled collars. Experimental Thermal and Fluid Science. 35(8). 1555–1564. 10 indexed citations
19.
Zeng, Yan, Jinsheng Cai, Marco Debiasi, & Tat Loon Chng. (2009). Numerical Study on Drag Reduction for Grid-Fin Configurations. 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. 17 indexed citations
20.
Chng, Tat Loon, et al.. (2009). Flow Control of an Airfoil via Injection and Suction. Journal of Aircraft. 46(1). 291–300. 45 indexed citations

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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