Han Gi Chae

6.0k total citations
105 papers, 4.9k citations indexed

About

Han Gi Chae is a scholar working on Materials Chemistry, Mechanical Engineering and Polymers and Plastics. According to data from OpenAlex, Han Gi Chae has authored 105 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Materials Chemistry, 62 papers in Mechanical Engineering and 41 papers in Polymers and Plastics. Recurrent topics in Han Gi Chae's work include Fiber-reinforced polymer composites (56 papers), Carbon Nanotubes in Composites (39 papers) and Graphene research and applications (33 papers). Han Gi Chae is often cited by papers focused on Fiber-reinforced polymer composites (56 papers), Carbon Nanotubes in Composites (39 papers) and Graphene research and applications (33 papers). Han Gi Chae collaborates with scholars based in South Korea, United States and Japan. Han Gi Chae's co-authors include Satish Kumar, Marilyn L. Minus, Yaodong Liu, Jung‐Eun Lee, Sang-Ha Hwang, Youngho Eom, Bradley A. Newcomb, Jae Sung Son, Prabhakar Gulgunje and Tetsuya Uchida and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Han Gi Chae

100 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Gi Chae South Korea 38 2.7k 2.1k 1.8k 1.3k 710 105 4.9k
Junrong Yu China 35 1.7k 0.6× 1.0k 0.5× 1.9k 1.0× 1.5k 1.2× 664 0.9× 193 4.8k
Hsu‐Chiang Kuan Taiwan 43 2.8k 1.0× 1.3k 0.6× 3.5k 1.9× 1.6k 1.3× 640 0.9× 112 6.0k
Xiao‐dong Qi China 44 1.8k 0.7× 2.4k 1.2× 1.9k 1.0× 1.7k 1.3× 1.0k 1.5× 120 5.9k
Liberata Guadagno Italy 42 2.2k 0.8× 1.1k 0.5× 2.9k 1.6× 1.3k 1.0× 788 1.1× 229 5.4k
Shu‐Lin Bai China 45 3.0k 1.1× 1.4k 0.7× 1.4k 0.7× 1.4k 1.1× 318 0.4× 149 5.5k
Lu Bai China 36 2.2k 0.8× 2.0k 1.0× 1.2k 0.7× 1.5k 1.2× 238 0.3× 92 5.1k
A. Ureña Spain 42 2.4k 0.9× 3.0k 1.5× 1.6k 0.9× 1.3k 1.0× 312 0.4× 260 6.2k
Jianfeng Gu China 37 1.8k 0.7× 2.6k 1.3× 947 0.5× 1.6k 1.3× 297 0.4× 200 4.8k
Ming‐Bo Yang China 40 1.5k 0.6× 2.2k 1.1× 2.1k 1.2× 2.3k 1.8× 544 0.8× 114 6.1k
Xutong Yang China 28 4.0k 1.5× 1.2k 0.6× 2.2k 1.2× 2.1k 1.7× 351 0.5× 33 6.3k

Countries citing papers authored by Han Gi Chae

Since Specialization
Citations

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

Fields of papers citing papers by Han Gi Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han Gi Chae. 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 Han Gi Chae. The network helps show where Han Gi Chae may publish in the future.

Co-authorship network of co-authors of Han Gi Chae

This figure shows the co-authorship network connecting the top 25 collaborators of Han Gi Chae. A scholar is included among the top collaborators of Han Gi Chae 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 Han Gi Chae. Han Gi Chae 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.
Kim, Min Woo, Juyoung Kim, Donghoon Lee, et al.. (2025). Optimizing p-aramid copolymer superfibers: The synergistic effect of solution rheology and fiber structure. Polymer Testing. 152. 108987–108987. 1 indexed citations
2.
Choi, Jiho, Jung-Eun Lee, Seunghwan Lee, et al.. (2025). Optimization of the carbonization process based on the evolution of microstructural components of polyacrylonitrile (PAN)-based fibers. Carbon. 235. 120058–120058. 8 indexed citations
3.
Lee, Dongju, Doojoon Jang, Byeong-Cheol Kang, et al.. (2025). Thermal coalescence-driven structural transformation of carbon nanotube fibers for flexible thermoelectrics. Chemical Engineering Journal. 527. 171739–171739.
4.
Kim, Min Woo, Juyoung Kim, Donghoon Lee, et al.. (2025). Tailored performance optimization of p-aramid copolymer fibers: From strength to thermo-chemical durability. Polymer Testing. 153. 109040–109040.
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Kim, Seok‐Jin, Jung‐Eun Lee, Javeed Mahmood, et al.. (2024). Scalable Design of Ru-Embedded Carbon Fabric Using Conventional Carbon Fiber Processing for Robust Electrocatalysts. Journal of the American Chemical Society. 146(19). 13142–13150. 2 indexed citations
9.
Choo, Seungjun, Jungsoo Lee, Hyejin Ju, et al.. (2024). Heat‐Dissipation Design and 3D Printing of Ternary Silver Chalcogenide‐Based Thermoelectric Legs for Enhancing Power Generation Performance. Advanced Science. 11(30). e2402934–e2402934. 13 indexed citations
10.
Choo, Seungjun, Jungsoo Lee, Sung‐Jin Jung, et al.. (2024). Geometric design of Cu2Se-based thermoelectric materials for enhancing power generation. Nature Energy. 24 indexed citations
11.
Lee, Jung‐Eun, Jung Hoon Kim, Joong Tark Han, Han Gi Chae, & Youngho Eom. (2023). Achieving Both Ultrahigh Electrical Conductivity and Mechanical Modulus of Carbon Films: Templating‐Coalescing Behavior of Single‐Walled Carbon Nanotube in Polyacrylonitrile. Advanced Science. 10(8). e2205924–e2205924. 4 indexed citations
12.
Lee, Seung Hwan, Hyo Jeong Kim, Yong Joon Jeong, et al.. (2023). Rheology-tailored stable aramid nanofiber suspensions for fabricating ultra-strong and electrically insulated additive-free nanopapers. Chemical Engineering Journal. 475. 146394–146394. 12 indexed citations
13.
Kim, Jung Soo, et al.. (2023). Molecular degradation mechanism of segmented polyurethane and life prediction through accelerated aging test. Polymer Testing. 124. 108086–108086. 12 indexed citations
14.
Kim, Seo Gyun, Sungyong Kim, Dongju Lee, et al.. (2022). Ultrahigh strength and modulus of polyimide-carbon nanotube based carbon and graphitic fibers with superior electrical and thermal conductivities for advanced composite applications. Composites Part B Engineering. 247. 110342–110342. 39 indexed citations
15.
Choo, Seungjun, Faizan Ejaz, Hyejin Ju, et al.. (2021). Cu2Se-based thermoelectric cellular architectures for efficient and durable power generation. Nature Communications. 12(1). 3550–3550. 76 indexed citations
16.
Kim, Kwang Ho, et al.. (2020). Defect structure evolution of polyacrylonitrile and single wall carbon nanotube nanocomposites: a molecular dynamics simulation approach. Scientific Reports. 10(1). 11816–11816. 9 indexed citations
17.
Raghavan, Vijay, Prabhakar Gulgunje, Kishor Gupta, et al.. (2018). Correlation between inhomogeneity in polyacrylonitrile spinning dopes and carbon fiber tensile strength. Polymer Engineering and Science. 59(3). 478–482. 3 indexed citations
18.
Xiang, Changsheng, Natnael Behabtu, Yaodong Liu, et al.. (2013). Graphene Nanoribbons as an Advanced Precursor for Making Carbon Fiber. ACS Nano. 7(2). 1628–1637. 104 indexed citations
19.
Minus, Marilyn L., Han Gi Chae, & Satish Kumar. (2010). Observations on Solution Crystallization of Poly(vinyl alcohol) in the Presence of Single‐Wall Carbon Nanotubes. Macromolecular Rapid Communications. 31(3). 310–316. 23 indexed citations
20.
Minus, Marilyn L., Han Gi Chae, & Satish Kumar. (2009). Interfacial Crystallization in Gel‐Spun Poly(vinyl alcohol)/Single‐Wall Carbon Nanotube Composite Fibers. Macromolecular Chemistry and Physics. 210(21). 1799–1808. 83 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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