Hyeon‐Jin Shin

13.4k total citations · 7 hit papers
107 papers, 11.0k citations indexed

About

Hyeon‐Jin Shin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Hyeon‐Jin Shin has authored 107 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Materials Chemistry, 47 papers in Electrical and Electronic Engineering and 27 papers in Biomedical Engineering. Recurrent topics in Hyeon‐Jin Shin's work include Graphene research and applications (57 papers), 2D Materials and Applications (25 papers) and Carbon Nanotubes in Composites (16 papers). Hyeon‐Jin Shin is often cited by papers focused on Graphene research and applications (57 papers), 2D Materials and Applications (25 papers) and Carbon Nanotubes in Composites (16 papers). Hyeon‐Jin Shin collaborates with scholars based in South Korea, United States and Singapore. Hyeon‐Jin Shin's co-authors include Jae‐Young Choi, Young Hee Lee, Seon‐Mi Yoon, Seongjun Park, Ki Kang Kim, Sang‐Woo Kim, Anass Benayad, Hyeon Ki Park, Jong Min Kim and Mei Jin and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Hyeon‐Jin Shin

103 papers receiving 10.9k citations

Hit Papers

Efficient Reduction of Graphite Oxide by Sodium Borohydri... 2009 2026 2014 2020 2009 2021 2009 2017 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyeon‐Jin Shin South Korea 41 7.6k 4.8k 4.3k 2.1k 2.1k 107 11.0k
Weiya Zhou China 52 7.4k 1.0× 4.3k 0.9× 4.3k 1.0× 3.7k 1.7× 2.3k 1.1× 197 11.9k
Houk Jang South Korea 19 9.3k 1.2× 6.0k 1.3× 5.8k 1.3× 2.0k 0.9× 1.6k 0.8× 42 13.0k
Zuliang Du China 48 4.5k 0.6× 3.7k 0.8× 3.6k 0.8× 1.3k 0.6× 2.4k 1.1× 262 8.5k
Hyeongkeun Kim South Korea 23 6.0k 0.8× 4.8k 1.0× 4.4k 1.0× 1.5k 0.7× 1.3k 0.6× 53 9.2k
Claudia Backes Germany 45 6.8k 0.9× 3.4k 0.7× 3.2k 0.7× 907 0.4× 1.5k 0.7× 111 9.4k
Arlene O’Neill Ireland 27 5.7k 0.7× 2.9k 0.6× 3.1k 0.7× 874 0.4× 1.4k 0.7× 34 8.0k
Lih‐Juann Chen Taiwan 52 6.5k 0.9× 5.6k 1.2× 3.9k 0.9× 2.3k 1.1× 1.2k 0.6× 182 11.1k
Vincent Tung United States 41 9.1k 1.2× 7.2k 1.5× 4.6k 1.1× 2.9k 1.4× 2.4k 1.1× 103 14.4k
Zhiwei Peng United States 26 5.2k 0.7× 3.9k 0.8× 3.4k 0.8× 3.0k 1.4× 883 0.4× 42 8.8k
Libo Gao China 32 8.3k 1.1× 6.8k 1.4× 3.7k 0.9× 4.6k 2.2× 1.2k 0.6× 81 13.1k

Countries citing papers authored by Hyeon‐Jin Shin

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon‐Jin Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeon‐Jin Shin. 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 Hyeon‐Jin Shin. The network helps show where Hyeon‐Jin Shin may publish in the future.

Co-authorship network of co-authors of Hyeon‐Jin Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeon‐Jin Shin. A scholar is included among the top collaborators of Hyeon‐Jin Shin 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 Hyeon‐Jin Shin. Hyeon‐Jin Shin 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.
An, Yulong, Sung Jin An, Hyunsook Jung, et al.. (2025). Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics. Advanced Functional Materials.
2.
Kwon, Junyoung, Minsu Seol, Huije Ryu, et al.. (2024). 200-mm-wafer-scale integration of polycrystalline molybdenum disulfide transistors. Nature Electronics. 7(5). 356–364. 51 indexed citations
3.
Dubois, Simon M.‐M., Luigi Colombo, Việt Hùng Nguyễn, et al.. (2024). Exploring dielectric properties in atomistic models of amorphous boron nitride. Journal of Physics Materials. 7(3). 35003–35003. 4 indexed citations
4.
Yang, Hyunsoo, Sergio O. Valenzuela, Mairbek Chshiev, et al.. (2022). Two-dimensional materials prospects for non-volatile spintronic memories. Nature. 606(7915). 663–673. 266 indexed citations breakdown →
5.
Konar, Aniruddha, Keun Wook Shin, Kyung‐Eun Byun, et al.. (2021). Surface roughness mediated specularity parameter of thin Cu films. Applied Physics Letters. 118(13). 4 indexed citations
6.
Lee, Hyangsook, Yeonchoo Cho, Kyung‐Eun Byun, et al.. (2020). Introduction of an Al Seed Layer for Facile Adsorption of MoCl5 during Atomic Layer Deposition of MoS2. physica status solidi (a). 217(15). 6 indexed citations
7.
Cho, Yeonchoo, Hyo-Ki Hong, Jung Hwa Kim, et al.. (2020). Spontaneous Formation of a ZnO Monolayer by the Redox Reaction of Zn on Graphene Oxide. ACS Applied Materials & Interfaces. 12(48). 54222–54229. 13 indexed citations
8.
Jang, Houk, Chengye Liu, Henry Hinton, et al.. (2020). Optoelectronic Neural Networks: An Atomically Thin Optoelectronic Machine Vision Processor (Adv. Mater. 36/2020). Advanced Materials. 32(36). 1 indexed citations
9.
Konar, Aniruddha, Prashant P. Shinde, S. Pandian, et al.. (2020). Non-specular scattering of carriers from surface defects in thin metal interconnects. Journal of Applied Physics. 128(18). 4 indexed citations
10.
Kim, Jung Hwa, Se‐Yang Kim, Yeonchoo Cho, et al.. (2019). Interface‐Driven Partial Dislocation Formation in 2D Heterostructures. Advanced Materials. 31(15). e1807486–e1807486. 19 indexed citations
11.
Seol, Minsu, Seongsu Kim, Seongsu Kim, et al.. (2018). Triboelectric Series of 2D Layered Materials. Advanced Materials. 30(39). e1801210–e1801210. 281 indexed citations
12.
Kang, Hyungseok, Han Kim, Seongsu Kim, et al.. (2016). Mechanically Robust Silver Nanowires Network for Triboelectric Nanogenerators. Advanced Functional Materials. 26(42). 7717–7724. 80 indexed citations
13.
Han, Sang A, Kanghyuck Lee, Tae‐Ho Kim, et al.. (2015). Hexagonal boron nitride assisted growth of stoichiometric Al2O3 dielectric on graphene for triboelectric nanogenerators. Nano Energy. 12. 556–566. 47 indexed citations
14.
Lee, Kanghyuck, Hyeon‐Jin Shin, Brijesh Kumar, et al.. (2014). Nanocrystalline‐Graphene‐Tailored Hexagonal Boron Nitride Thin Films. Angewandte Chemie International Edition. 53(43). 11493–11497. 22 indexed citations
15.
Kim, Seongsu, Seongsu Kim, Manoj Kumar Gupta, et al.. (2014). Transparent Flexible Graphene Triboelectric Nanogenerators. Advanced Materials. 26(23). 3918–3925. 409 indexed citations
16.
Kim, Seongsu, Seongsu Kim, Manoj Kumar Gupta, et al.. (2014). Nanogenerators: Transparent Flexible Graphene Triboelectric Nanogenerators (Adv. Mater. 23/2014). Advanced Materials. 26(23). 3778–3778. 11 indexed citations
17.
Lee, Kanghyuck, Hyeon‐Jin Shin, Han Sol Kim, et al.. (2014). Nanocrystalline‐Graphene‐Tailored Hexagonal Boron Nitride Thin Films. Angewandte Chemie. 126(43). 11677–11681. 5 indexed citations
19.
Shin, Hyeon‐Jin, Won Mook Choi, Seon‐Mi Yoon, et al.. (2011). Transfer‐Free Growth of Few‐Layer Graphene by Self‐Assembled Monolayers. Advanced Materials. 23(38). 4392–4397. 73 indexed citations
20.
Kim, Do Hwan, Hyeon‐Jin Shin, Hyo Sug Lee, et al.. (2011). Design of a Polymer–Carbon Nanohybrid Junction by Interface Modeling for Efficient Printed Transistors. ACS Nano. 6(1). 662–670. 27 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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