Sun-Il Chang

23 papers receiving 1.2k citations

Peers

Sun-Il Chang
Comparison fields: 5 of 63
  • Cognitive Neuroscience 572
  • Bioengineering 154
  • Biomedical Engineering 1.1k
  • Human-Computer Interaction 81
  • Polymers and Plastics 146
Replace Hyung-Kew Lee with:
Hyung-Kew Lee South Korea
Haicheng Yao Singapore
Wenzheng Heng United States
Yuan Dai China
Philipp Mittendorfer Germany
Sepehr Emamian United States
Kian Ann Ng Singapore
Mikael Jorda United States
Andy Cranny United Kingdom
Hian Hian See Singapore
Sun-Il Chang relative to Hyung-Kew Lee South Korea Hyung-Kew Lee's profile →
Citations per field
00.5×1.5×
Hyung-Kew Lee · 1×
Citations per year

Countries citing papers authored by Sun-Il Chang

Since Specialization
Citations

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

Fields of papers citing papers by Sun-Il Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun-Il Chang. 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 Sun-Il Chang. The network helps show where Sun-Il Chang may publish in the future.

Co-authors

The 20 scholars most cited alongside Sun-Il Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sun-Il Chang Line = papers co-authored together Sun-Il Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006352
2 2008304
3 2009183
4 2011163
5 200731
6 200528
7 201725
8 200624
9 201223
10 201722
11
BioBolt: A minimally-invasive neural interface for wireless epidural recording by intra-skin communication
201122
12 201117
13 201814
14 20079
15 20099
16 20117
17 20116
18 20064
19 20204
20 20112

About Sun-Il Chang

Sun-Il Chang is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Bioengineering, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Analog and Mixed-Signal Circuit Design (9 papers), Advanced Memory and Neural Computing (7 papers), Analytical Chemistry and Sensors (5 papers), Robot Manipulation and Learning (3 papers), Organic Light-Emitting Diodes Research (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Cognitive Neuroscience (572 citations), Bioengineering (154 citations), Biomedical Engineering (1.1k citations), Human-Computer Interaction (81 citations) and Polymers and Plastics (146 citations). Sun-Il Chang has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Euisik Yoon, Hyung-Kew Lee, Jaehoon Chung, Sung‐Yun Park, Euisik Yoon, Il‐Joo Cho, Seong‐Jin Kim, Jaehyuk Choi, Sang-Wook Han and Kyung‐Hyun Kim. Their work appears in journals such as IEEE Sensors Journal, Journal of Microelectromechanical Systems, IEEE Transactions on Biomedical Circuits and Systems, IEEE Journal of Solid-State Circuits and Journal of Micromechanics and Microengineering.

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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