Young Jin Heo

18 total papers · 434 total citations
9 papers, 282 citations indexed

About

Young Jin Heo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Young Jin Heo has authored 9 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Young Jin Heo's work include Microfluidic and Bio-sensing Technologies (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). Young Jin Heo is often cited by papers focused on Microfluidic and Bio-sensing Technologies (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). Young Jin Heo collaborates with scholars based in South Korea and Japan. Young Jin Heo's co-authors include Wan Kyun Chung, Jun-Su Kang, Woongyong Lee, Jonghoon Park, Donghyeon Lee, Min Jun Kim, Makoto Kaneko, Kyung-Min Oh, Jang‐In Shin and Sanghee Nam and has published in prestigious journals such as Scientific Reports, Lab on a Chip and IEEE Robotics and Automation Letters.

In The Last Decade

Young Jin Heo

9 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Young Jin Heo 100 80 69 42 31 9 282
Danfeng Xie 18 0.2× 41 0.5× 57 0.8× 38 0.9× 35 1.1× 13 287
Srikanth Namuduri 38 0.4× 38 0.5× 19 0.3× 31 0.7× 13 0.4× 9 329
Daria Stepanova 69 0.7× 17 0.2× 27 0.4× 15 0.4× 13 0.4× 8 318
Pierluigi Pierini 64 0.6× 19 0.2× 27 0.4× 46 1.1× 12 0.4× 5 310
Jyh-Ming Lien 61 0.6× 80 1.0× 205 3.0× 36 0.9× 68 2.2× 9 310
Elie Maalouf 49 0.5× 113 1.4× 96 1.4× 6 0.1× 16 0.5× 12 266
Oscar Nasisi 50 0.5× 110 1.4× 210 3.0× 6 0.1× 32 1.0× 17 308
Benjamin Hepp 36 0.4× 13 0.2× 83 1.2× 17 0.4× 16 0.5× 6 224
Mohamed R. Torkomany 14 0.1× 25 0.3× 40 0.6× 65 1.5× 22 0.7× 7 252
Mohammed Ahmed Talab 19 0.2× 14 0.2× 101 1.5× 47 1.1× 16 0.5× 10 254

Countries citing papers authored by Young Jin Heo

Since Specialization
Citations

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

Fields of papers citing papers by Young Jin Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Jin Heo

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