Young Tea Chun

46 total papers · 1.4k total citations
32 papers, 1.2k citations indexed

About

Young Tea Chun is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Young Tea Chun has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 17 papers in Biomedical Engineering and 15 papers in Materials Chemistry. Recurrent topics in Young Tea Chun's work include Advanced Sensor and Energy Harvesting Materials (9 papers), Advanced Memory and Neural Computing (5 papers) and Conducting polymers and applications (5 papers). Young Tea Chun is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (9 papers), Advanced Memory and Neural Computing (5 papers) and Conducting polymers and applications (5 papers). Young Tea Chun collaborates with scholars based in United Kingdom, South Korea and China. Young Tea Chun's co-authors include Jong Min Kim, Seong Chan Jun, Shude Liu, Daping Chu, Ling Kang, Jian Zhang, Pawan Shrestha, Shunpu Li, Jing‐Yuan Wu and Tong Zhang and has published in prestigious journals such as Advanced Materials, Nature Communications and Applied Physics Letters.

In The Last Decade

Young Tea Chun

30 papers receiving 1.2k citations

Hit Papers

Recent Advances in Vanadi... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Young Tea Chun 889 438 387 207 140 32 1.2k
Xiangxiang Yu 710 0.8× 551 1.3× 364 0.9× 260 1.3× 89 0.6× 51 1.1k
Linqu Luo 1.0k 1.2× 605 1.4× 231 0.6× 223 1.1× 104 0.7× 30 1.2k
Qi Xu 874 1.0× 563 1.3× 344 0.9× 204 1.0× 80 0.6× 45 1.2k
Jesse Tice 749 0.8× 600 1.4× 166 0.4× 142 0.7× 124 0.9× 43 1.2k
Weiming Lv 971 1.1× 825 1.9× 477 1.2× 138 0.7× 50 0.4× 48 1.5k
Bin Chen 927 1.0× 720 1.6× 198 0.5× 226 1.1× 248 1.8× 45 1.3k
Yang Zhou 751 0.8× 382 0.9× 136 0.4× 202 1.0× 134 1.0× 51 1.2k
Chenguang Liu 1.0k 1.2× 384 0.9× 369 1.0× 97 0.5× 97 0.7× 45 1.2k
Ali Imran 578 0.7× 619 1.4× 350 0.9× 142 0.7× 71 0.5× 55 1.1k
Taizhi Jiang 383 0.4× 491 1.1× 278 0.7× 249 1.2× 70 0.5× 29 928

Countries citing papers authored by Young Tea Chun

Since Specialization
Citations

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

Fields of papers citing papers by Young Tea Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Tea Chun. 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 Young Tea Chun. The network helps show where Young Tea Chun may publish in the future.

Co-authorship network of co-authors of Young Tea Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Young Tea Chun. A scholar is included among the top collaborators of Young Tea Chun 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 Young Tea Chun. Young Tea Chun 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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