Lok‐kun Tsui

1.2k total citations
46 papers, 1.0k citations indexed

About

Lok‐kun Tsui is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Lok‐kun Tsui has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 13 papers in Renewable Energy, Sustainability and the Environment and 11 papers in Materials Chemistry. Recurrent topics in Lok‐kun Tsui's work include Gas Sensing Nanomaterials and Sensors (15 papers), Advanced Chemical Sensor Technologies (8 papers) and Advanced Photocatalysis Techniques (7 papers). Lok‐kun Tsui is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (15 papers), Advanced Chemical Sensor Technologies (8 papers) and Advanced Photocatalysis Techniques (7 papers). Lok‐kun Tsui collaborates with scholars based in United States, Germany and Hong Kong. Lok‐kun Tsui's co-authors include Giovanni Zangari, Fernando H. Garzón, Nathan S. Swami, Lingling Wu, Matthew D. Murbach, Kateryna Artyushkova, Plamen Atanassov, Alexey Serov, Michael J Workman and Kannan Ramaiyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Lok‐kun Tsui

45 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lok‐kun Tsui United States 18 502 451 449 148 83 46 1.0k
Mark Žic Croatia 15 199 0.4× 219 0.5× 174 0.4× 100 0.7× 66 0.8× 34 624
Lajos Gáncs United States 10 623 1.2× 560 1.2× 165 0.4× 138 0.9× 33 0.4× 19 794
Cong Liang China 17 339 0.7× 145 0.3× 226 0.5× 194 1.3× 22 0.3× 34 704
P. Tomczyk Poland 14 384 0.8× 153 0.3× 325 0.7× 86 0.6× 15 0.2× 45 653
Pankaj Singh Chauhan India 15 481 1.0× 144 0.3× 301 0.7× 276 1.9× 199 2.4× 27 807
A. Roessler Switzerland 7 301 0.6× 77 0.2× 186 0.4× 150 1.0× 83 1.0× 8 510
Jing Shao China 21 552 1.1× 495 1.1× 1.0k 2.3× 121 0.8× 12 0.1× 62 1.5k
I. Roušar Czechia 18 411 0.8× 231 0.5× 233 0.5× 179 1.2× 49 0.6× 81 925
Souvik Ghosh United States 15 492 1.0× 141 0.3× 390 0.9× 228 1.5× 124 1.5× 28 886

Countries citing papers authored by Lok‐kun Tsui

Since Specialization
Citations

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

Fields of papers citing papers by Lok‐kun Tsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lok‐kun Tsui. 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 Lok‐kun Tsui. The network helps show where Lok‐kun Tsui may publish in the future.

Co-authorship network of co-authors of Lok‐kun Tsui

This figure shows the co-authorship network connecting the top 25 collaborators of Lok‐kun Tsui. A scholar is included among the top collaborators of Lok‐kun Tsui 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 Lok‐kun Tsui. Lok‐kun Tsui 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.
Tsui, Lok‐kun, et al.. (2024). Early-warning systems built on an AI-powered, IoT-driven multi-gas emission sensor platform. 669–673. 1 indexed citations
2.
Tsui, Lok‐kun, et al.. (2024). A Combined Mixed Potential Sensor, Machine Learning, and Iot Platform for Methane Emissions Detection and Flare Monitoring. ECS Meeting Abstracts. MA2024-02(65). 4356–4356.
3.
Ramaiyan, Kannan, et al.. (2023). Massive enhancement in sensitivity of mixed potential sensors towards methane and natural gas through magnesia stabilized zirconia low ionic conductivity substrate. Sensors and Actuators B Chemical. 392. 134031–134031. 3 indexed citations
4.
Tsui, Lok‐kun, et al.. (2023). Electrodeposited Superconducting Re on Flexible Substrates Using Aerosol Jet Printed Metal Seed Layers. IEEE Transactions on Applied Superconductivity. 33(8). 1–7. 1 indexed citations
5.
Ramaiyan, Kannan, Lok‐kun Tsui, Eric L. Brosha, et al.. (2023). Recent Developments in Sensor Technologies for Enabling the Hydrogen Economy. SHILAP Revista de lepidopterología. 2(4). 45601–45601. 23 indexed citations
7.
Ramaiyan, Kannan, et al.. (2023). Comparison of Machine Learning Algorithms for Natural Gas Identification with Mixed Potential Electrochemical Sensor Arrays. SHILAP Revista de lepidopterología. 2(1). 11402–11402. 16 indexed citations
8.
Benavidez, Angelica, John B. Plumley, Lok‐kun Tsui, et al.. (2022). DC Sputtered Ultralow Loading Gold Nanofilm Electrodes for Detection of As (III) in Water. 1(1). 14602–14602. 28 indexed citations
9.
Tsui, Lok‐kun, et al.. (2021). High Resolution Aerosol Jet Printed Components with Electrodeposition-Enhanced Conductance. ECS Journal of Solid State Science and Technology. 10(4). 47001–47001. 15 indexed citations
10.
Tsui, Lok‐kun, et al.. (2021). (Invited) Additive Manufacturing of Mixed Potential Gas Sensors for Natural Gas Emissions Monitoring. ECS Meeting Abstracts. MA2021-02(45). 1379–1379. 1 indexed citations
11.
Tsui, Lok‐kun, et al.. (2021). Combined Mixed Potential Electrochemical Sensors and Artificial Neural Networks for the Quantificationand Identification of Methane in Natural Gas Emissions Monitoring. Journal of The Electrochemical Society. 168(9). 97506–97506. 20 indexed citations
12.
Tsui, Lok‐kun, Angelica Benavidez, Lindsey Evans, & Fernando H. Garzón. (2018). Additively manufactured mixed potential electrochemical sensors for NOx, C3H8, and NH3 detection. Progress in Additive Manufacturing. 4(1). 13–21. 9 indexed citations
13.
Tsui, Lok‐kun, et al.. (2018). Additive Manufacturing of Alumina Components by Extrusion of In-Situ UV-Cured Pastes. Texas Digital Library (University of Texas). 3 indexed citations
14.
Workman, Michael J, Alexey Serov, Lok‐kun Tsui, Plamen Atanassov, & Kateryna Artyushkova. (2017). Fe–N–C Catalyst Graphitic Layer Structure and Fuel Cell Performance. ACS Energy Letters. 2(7). 1489–1493. 106 indexed citations
15.
Tsui, Lok‐kun & Fernando H. Garzón. (2017). Carbonxs GUI – a Graphical Front End for Carbonxs. ECS Meeting Abstracts. MA2017-02(8). 649–649. 1 indexed citations
16.
Tsui, Lok‐kun, Angelica Benavidez, Ponnusamy Palanisamy, Lindsey Evans, & Fernando H. Garzón. (2016). A Three Electrode Mixed Potential Sensor for Gas Detection and Discrimination. ECS Transactions. 75(16). 9–22. 9 indexed citations
17.
Tsui, Lok‐kun & Giovanni Zangari. (2014). Titania Nanotubes by Electrochemical Anodization for Solar Energy Conversion. Journal of The Electrochemical Society. 161(7). D3066–D3077. 27 indexed citations
19.
Tsui, Lok‐kun, Nhat Truong Nguyen, Lei Wang, et al.. (2014). Hierarchical decoration of anodic TiO2 nanorods for enhanced photocatalytic degradation properties. Electrochimica Acta. 155. 244–250. 4 indexed citations
20.
Tsui, Lok‐kun & Giovanni Zangari. (2013). Modification of TiO2 nanotubes by Cu2O for photoelectrochemical, photocatalytic, and photovoltaic devices. Electrochimica Acta. 128. 341–348. 48 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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