Hang-Gyeom Kim

629 total citations
9 papers, 416 citations indexed

About

Hang-Gyeom Kim is a scholar working on Biomedical Engineering, Polymers and Plastics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Hang-Gyeom Kim has authored 9 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Polymers and Plastics and 4 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Hang-Gyeom Kim's work include Advanced Sensor and Energy Harvesting Materials (9 papers), Conducting polymers and applications (7 papers) and Supercapacitor Materials and Fabrication (3 papers). Hang-Gyeom Kim is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (9 papers), Conducting polymers and applications (7 papers) and Supercapacitor Materials and Fabrication (3 papers). Hang-Gyeom Kim collaborates with scholars based in South Korea, India and Thailand. Hang-Gyeom Kim's co-authors include Hoe Joon Kim, Sugato Hajra, Manisha Sahu, Yogendra Kumar Mishra, Rojalin Sahu, Horst‐Günter Rubahn, Namjung Kim, Aneeta Manjari Padhan, Basanta K. Panigrahi and P. Ganga Raju Achary and has published in prestigious journals such as ACS Applied Materials & Interfaces, Nano Energy and Composites Part B Engineering.

In The Last Decade

Hang-Gyeom Kim

9 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang-Gyeom Kim South Korea 9 348 241 88 80 79 9 416
Siwei Xiang China 8 289 0.8× 187 0.8× 91 1.0× 61 0.8× 150 1.9× 16 399
Jingzhe Sun South Korea 10 432 1.2× 271 1.1× 73 0.8× 106 1.3× 113 1.4× 18 470
Rongtai Wan China 11 368 1.1× 286 1.2× 46 0.5× 39 0.5× 98 1.2× 14 563
Wanqiu Zhu China 7 274 0.8× 196 0.8× 39 0.4× 52 0.7× 88 1.1× 8 362
Harris Varghese India 11 337 1.0× 249 1.0× 102 1.2× 80 1.0× 49 0.6× 14 374
Guanbo Min United Kingdom 9 529 1.5× 369 1.5× 129 1.5× 115 1.4× 108 1.4× 18 585
Seokjun Cha South Korea 7 314 0.9× 205 0.9× 60 0.7× 60 0.8× 67 0.8× 11 339
Ziyao Xu China 5 326 0.9× 204 0.8× 43 0.5× 57 0.7× 103 1.3× 7 419
Hyeongsub Choi South Korea 6 308 0.9× 202 0.8× 59 0.7× 58 0.7× 65 0.8× 9 335
Xiaorui Ye China 8 244 0.7× 117 0.5× 70 0.8× 56 0.7× 123 1.6× 9 360

Countries citing papers authored by Hang-Gyeom Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hang-Gyeom Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hang-Gyeom Kim. 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 Hang-Gyeom Kim. The network helps show where Hang-Gyeom Kim may publish in the future.

Co-authorship network of co-authors of Hang-Gyeom Kim

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

All Works

9 of 9 papers shown
1.
Kim, Hang-Gyeom, Sugato Hajra, Swati Panda, et al.. (2024). Triboelectric nanogenerator for self-powered traffic monitoring. Materials Science and Engineering B. 303. 117277–117277. 10 indexed citations
2.
Kim, Hang-Gyeom, et al.. (2023). Additively Manufactured Mechanical Metamaterial‐Based Pressure Sensor with Tunable Sensing Properties for Stance and Motion Analysis. Advanced Engineering Materials. 25(14). 14 indexed citations
3.
Panda, Swati, Sugato Hajra, Hang-Gyeom Kim, et al.. (2023). Sustainable Solutions for Oral Health Monitoring: Biowaste-Derived Triboelectric Nanogenerator. ACS Applied Materials & Interfaces. 15(30). 36096–36106. 53 indexed citations
4.
Hajra, Sugato, Jagannath Panda, Hang-Gyeom Kim, et al.. (2022). Triazine skeletal covalent organic frameworks: A versatile highly positive surface potential triboelectric layer for energy harvesting and self-powered applications. Nano Energy. 101. 107620–107620. 45 indexed citations
5.
6.
Hajra, Sugato, Manisha Sahu, Aneeta Manjari Padhan, et al.. (2021). A new insight into the ZIF-67 based triboelectric nanogenerator for self-powered robot object recognition. Journal of Materials Chemistry C. 9(48). 17319–17330. 70 indexed citations
7.
Hajra, Sugato, Manisha Sahu, Kyung-Taek Lee, et al.. (2021). Piezoelectric nanogenerator based on flexible PDMS–BiMgFeCeO6 composites for sound detection and biomechanical energy harvesting. Sustainable Energy & Fuels. 5(23). 6049–6058. 36 indexed citations
8.
Kim, Hang-Gyeom, et al.. (2021). Additive manufacturing of high-performance carbon-composites: An integrated multi-axis pressure and temperature monitoring sensor. Composites Part B Engineering. 222. 109079–109079. 48 indexed citations
9.
Sahu, Manisha, Sugato Hajra, Hang-Gyeom Kim, et al.. (2021). Additive manufacturing-based recycling of laboratory waste into energy harvesting device for self-powered applications. Nano Energy. 88. 106255–106255. 86 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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