Hanbin Choi

1.1k citations
21 papers · 894 · h-index 12

Impact in

Papers in

Hanbin Choi

20 papers receiving 889 citations

Peers

Hanbin Choi
Comparison fields: 5 of 58
  • Polymers and Plastics 333
  • Biomedical Engineering 700
  • Bioengineering 79
  • Cognitive Neuroscience 241
  • Human-Computer Interaction 39
Replace Qiong Tian with:
Qiong Tian China
Kang Lib Kim South Korea
Amir Reuveny Japan
Wonjeong Suh South Korea
Jae Joon Kim United States
Vipin Amoli India
Faqi Hu China
Gwangmook Kim South Korea
Hai Lu Wang China
Hanbin Choi relative to Qiong Tian China Qiong Tian's profile →
Citations per field
00.5×1.5×2.4×
Qiong Tian · 1×
Citations per year

Countries citing papers authored by Hanbin Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hanbin Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hanbin Choi, 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 Hanbin Choi Line = papers co-authored together Hanbin Choi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019216
2 2019181
3 2022101
4 202188
5 201977
6 202466
7 202345
8 201926
9 202318
10 202016
11 202315
12 202312
13 20248
14 20227
15 20215
16 20205
17 20253
18 20232
19 20212
20 20251

About Hanbin Choi

Hanbin Choi is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Organic Chemistry, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 894 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (17 papers), Dielectric materials and actuators (7 papers), Tactile and Sensory Interactions (6 papers), Conducting polymers and applications (5 papers), Polydiacetylene-based materials and applications (5 papers), Neuroscience and Neural Engineering (4 papers), Analytical Chemistry and Sensors (3 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Polymers and Plastics (333 citations), Biomedical Engineering (700 citations), Bioengineering (79 citations), Cognitive Neuroscience (241 citations) and Human-Computer Interaction (39 citations). Hanbin Choi has collaborated with scholars based in South Korea, China and Japan. Frequent co-authors include Do Hwan Kim, Joo Sung Kim, So Young Kim, Vipin Amoli, Yoon Sun Chung, Eunsong Jee, Hyukmin Kweon, Zhengyang Kong, Dong Jun Kim and Wu Bin Ying. Their work appears in journals such as Nature Communications, Advanced Materials, Advanced Functional Materials, Macromolecular Bioscience and Advanced Science.

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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