Seokjun Cha

13 total papers · 402 total citations
10 papers, 335 citations indexed

About

Seokjun Cha is a scholar working on Biomedical Engineering, Polymers and Plastics and Cognitive Neuroscience. According to data from OpenAlex, Seokjun Cha has authored 10 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 6 papers in Polymers and Plastics and 2 papers in Cognitive Neuroscience. Recurrent topics in Seokjun Cha's work include Advanced Sensor and Energy Harvesting Materials (9 papers), Conducting polymers and applications (6 papers) and Tactile and Sensory Interactions (2 papers). Seokjun Cha is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (9 papers), Conducting polymers and applications (6 papers) and Tactile and Sensory Interactions (2 papers). Seokjun Cha collaborates with scholars based in South Korea. Seokjun Cha's co-authors include Jingzhe Sun, Yujang Cho, Minseok Choi, Sangki Park, Jong‐Jin Park, Jihyun Bae, Jong‐Jin Park, Seongcheol Ahn, Jongjin Park and Taeyun Kim and has published in prestigious journals such as Advanced Functional Materials, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Seokjun Cha

9 papers receiving 331 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Seokjun Cha	309	204	66	60	59	10	335
Shen Shen	260 0.8×	169 0.8×	66 1.0×	70 1.2×	57 1.0×	14	358
Junfeng Cao	266 0.9×	173 0.8×	75 1.1×	51 0.8×	33 0.6×	7	401
Melih Ögeday Çiçek	269 0.9×	156 0.8×	112 1.7×	60 1.0×	64 1.1×	14	329
Yaojie Han	290 0.9×	217 1.1×	89 1.3×	53 0.9×	79 1.3×	7	356
Harris Varghese	331 1.1×	249 1.2×	48 0.7×	80 1.3×	102 1.7×	14	367
Xueliang Xiao	251 0.8×	155 0.8×	84 1.3×	58 1.0×	42 0.7×	17	344
Youngdo Shin	354 1.1×	233 1.1×	102 1.5×	89 1.5×	93 1.6×	8	393
Zhenglin Xu	278 0.9×	193 0.9×	64 1.0×	58 1.0×	46 0.8×	7	359
Junpeng Wu	263 0.9×	192 0.9×	91 1.4×	52 0.9×	87 1.5×	15	333
Lin Chen	297 1.0×	165 0.8×	61 0.9×	42 0.7×	42 0.7×	24	360

Countries citing papers authored by Seokjun Cha

Since Specialization

Citations

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

Fields of papers citing papers by Seokjun Cha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seokjun Cha. 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 Seokjun Cha. The network helps show where Seokjun Cha may publish in the future.

Co-authorship network of co-authors of Seokjun Cha

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

All Works

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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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