Yeong Min Kwon

450 total citations
23 papers, 354 citations indexed

About

Yeong Min Kwon is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Yeong Min Kwon has authored 23 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 13 papers in Materials Chemistry and 10 papers in Biomedical Engineering. Recurrent topics in Yeong Min Kwon's work include Gas Sensing Nanomaterials and Sensors (14 papers), Analytical Chemistry and Sensors (9 papers) and 2D Materials and Applications (7 papers). Yeong Min Kwon is often cited by papers focused on Gas Sensing Nanomaterials and Sensors (14 papers), Analytical Chemistry and Sensors (9 papers) and 2D Materials and Applications (7 papers). Yeong Min Kwon collaborates with scholars based in South Korea, United States and Singapore. Yeong Min Kwon's co-authors include Jeong Min Baik, Heungjoo Shin, Rahul Purbia, Hong‐Dae Kim, Ho Won Jang, Jae Joon Kim, Sung Bum Kang, Kyoung Jin Choi, Yeongjin Lim and Wooseok Song and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and Chemical Engineering Journal.

In The Last Decade

Yeong Min Kwon

22 papers receiving 339 citations

Peers

Yeong Min Kwon
Yeong Min Kwon
Citations per year, relative to Yeong Min Kwon Yeong Min Kwon (= 1×) peers Lallan Yadava

Countries citing papers authored by Yeong Min Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Yeong Min Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeong Min Kwon. 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 Yeong Min Kwon. The network helps show where Yeong Min Kwon may publish in the future.

Co-authorship network of co-authors of Yeong Min Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Yeong Min Kwon. A scholar is included among the top collaborators of Yeong Min Kwon 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 Yeong Min Kwon. Yeong Min Kwon 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.
Kwon, Yeong Min, Jin Kyu Han, Moonjeong Jang, et al.. (2025). Enhancing selectivity and sensitivity in gas sensors through noble metal-decorated ZnO and machine learning. Applied Surface Science. 693. 162750–162750. 9 indexed citations
2.
Kwon, Yeong Min, Moonjeong Jang, Yoonseok Park, et al.. (2025). Ultrabroadband Photoconductive Topological Material with Exceptional Multienvironmental Stability. ACS Nano. 19(29). 26735–26751.
3.
Jang, Moonjeong, Yeong Min Kwon, Jae Hee Cho, et al.. (2024). Artificial Q‐Grader: Machine Learning‐Enabled Intelligent Olfactory and Gustatory Sensing System. Advanced Science. 11(23). e2308976–e2308976. 17 indexed citations
4.
Kwon, Yeong Min, Eunji Lee, Moonjeong Jang, et al.. (2024). Wafer‐Scale Atomic Assembly for 2D Multinary Transition Metal Dichalcogenides for Visible and NIR Photodetection. Small. 20(33). e2312120–e2312120. 2 indexed citations
5.
Lee, Eunji, Yeong Min Kwon, Garam Bae, et al.. (2024). Oxygen‐Mediated Surface Engineering of 3D Porous Graphene for All‐Graphene‐Based Humidity Sensors. Advanced Materials Interfaces. 11(16). 1 indexed citations
6.
Kwon, Yeong Min, et al.. (2024). A Mixture-Gas Edge-Computing Multisensor Device With Generative Learning Framework. IEEE Sensors Journal. 24(9). 15023–15032. 7 indexed citations
7.
Seo, Dong‐Bum, Yeong Min Kwon, Saewon Kang, et al.. (2024). Tailoring Phase Transition of Mo-S-Te Ternary System using Heat-Driven Process for Target Functionalities. Chemical Engineering Journal. 496. 153936–153936. 4 indexed citations
8.
Lim, Yi Rang, Seunghun Jang, Garam Bae, et al.. (2023). Wafer‐Scale Synthesis of Mixed‐Dimensional Heterostructures via Manipulating Platinization Conditions. Advanced Electronic Materials. 9(12). 1 indexed citations
9.
Kwon, Yeong Min, Yi Rang Lim, Garam Bae, et al.. (2023). Spectro‐Microscopic Perceptions into Oxidation Behavior of Large‐Scale Molybdenum Disulfide and its Photoelectrical Correlation. Small Methods. 7(10). e2300147–e2300147. 6 indexed citations
10.
Lim, Yi Rang, Garam Bae, Yeong Min Kwon, et al.. (2023). Wafer-Scale Production of Two-Dimensional Tin Monoselenide: Expandable Synthetic Platform for van der Waals Semiconductor-Based Broadband Photodetectors. ACS Nano. 17(2). 1372–1380. 25 indexed citations
11.
Kwon, Yeong Min, et al.. (2022). Batch Nanofabrication of Suspended Single 1D Nanoheaters for Ultralow‐Power Metal Oxide Semiconductor‐Based Gas Sensors. Small. 18(48). e2204078–e2204078. 17 indexed citations
12.
Kwon, Yeong Min, Rahul Purbia, Hee Young Chae, et al.. (2022). High-performance and self-calibrating multi-gas sensor interface to trace multiple gas species with sub-ppm level. Sensors and Actuators B Chemical. 375. 132939–132939. 22 indexed citations
13.
Kim, Minji, Moonjeong Jang, Yeong Min Kwon, et al.. (2022). Photon‐Pen Writing for Metal Oxide‐Based Versatile Nanosensors. Advanced Functional Materials. 32(38). 5 indexed citations
14.
Chae, Hee Young, et al.. (2021). A Wide Dynamic Range Multi-Sensor ROIC for Portable Environmental Monitoring Systems With Two-Step Self-Optimization Schemes. IEEE Transactions on Circuits and Systems I Regular Papers. 68(6). 2432–2443. 15 indexed citations
15.
Purbia, Rahul, et al.. (2021). A thermodynamic approach toward selective and reversible sub-ppm H2S sensing using ultra-small CuO nanorods impregnated with Nb2O5 nanoparticles. Journal of Materials Chemistry A. 9(32). 17425–17433. 21 indexed citations
16.
Kwon, Yeong Min, Heejun Kim, Bora Ye, et al.. (2020). Ce oxide nanoparticles on porous reduced graphene oxides for stable hydrogen detection in air/HMDSO environment. Sensors and Actuators B Chemical. 321. 128529–128529. 13 indexed citations
17.
Purbia, Rahul, et al.. (2020). Zero-dimensional heterostructures: N-doped graphene dots/SnO2 for ultrasensitive and selective NO2 gas sensing at low temperatures. Journal of Materials Chemistry A. 8(23). 11734–11742. 48 indexed citations
18.
Kim, Seung‐Kyu, Sang Yun Jeong, Mi Gyoung Lee‬, et al.. (2018). Plasmonic gold nanoparticle-decorated BiVO4/ZnO nanowire heterostructure photoanodes for efficient water oxidation. Catalysis Science & Technology. 8(15). 3759–3766. 34 indexed citations
19.
Sanger, Amit, Sung Bum Kang, Myeong Hoon Jeong, et al.. (2018). Morphology‐Controlled Aluminum‐Doped Zinc Oxide Nanofibers for Highly Sensitive NO2 Sensors with Full Recovery at Room Temperature. Advanced Science. 5(9). 1800816–1800816. 63 indexed citations
20.
Lim, Yeongjin, et al.. (2017). A highly sensitive gas-sensing platform based on a metal-oxide nanowire forest grown on a suspended carbon nanowire fabricated at a wafer level. Sensors and Actuators B Chemical. 260. 55–62. 25 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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