Hyeon Jun Sim

43 papers receiving 1.8k citations

Peers

Hyeon Jun Sim
Comparison fields: 5 of 59
  • Polymers and Plastics 746
  • Electronic, Optical and Magnetic Materials 908
  • Biomedical Engineering 1.2k
  • Biomaterials 153
  • Mechanical Engineering 364
Replace Sarbaranjan Paria with:
Sarbaranjan Paria India
Shi Hyeong Kim South Korea
Joo‐Yun Jung South Korea
Luzhuo Chen China
Jixun Xie China
Kunming Shi China
Gurunathan Thangavel Singapore
Gui‐Wen Huang China
Duan Zhao China
Anirban Maitra India
Hyeon Jun Sim relative to Sarbaranjan Paria India Sarbaranjan Paria's profile →
Citations per field
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Sarbaranjan Paria · 1×
Citations per year

Countries citing papers authored by Hyeon Jun Sim

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon Jun Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeon Jun Sim. 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 Hyeon Jun Sim. The network helps show where Hyeon Jun Sim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015251
2 2016211
3 2016197
4 2018147
5 2016123
6 2016117
7 201591
8 201968
9 201567
10 202257
11 201955
12 202046
13 201944
14 201844
15 201928
16 201627
17 202024
18 201619
19 202319
20 202219

About Hyeon Jun Sim

Hyeon Jun Sim is a scholar working on Biomedical Engineering, Polymers and Plastics, Mechanical Engineering, Electronic, Optical and Magnetic Materials and Cognitive Neuroscience, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (37 papers), Conducting polymers and applications (19 papers), Advanced Materials and Mechanics (13 papers), Supercapacitor Materials and Fabrication (10 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Tactile and Sensory Interactions (6 papers), Innovative Energy Harvesting Technologies (4 papers) and Electromagnetic wave absorption materials (2 papers). The work is most often cited by research in Polymers and Plastics (746 citations), Electronic, Optical and Magnetic Materials (908 citations), Biomedical Engineering (1.2k citations), Biomaterials (153 citations) and Mechanical Engineering (364 citations). Hyeon Jun Sim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Seon Jeong Kim, Ray H. Baughman, Changsoon Choi, Geoffrey M. Spinks, Xavier Lepró, Youn Tae Kim, Shi Hyeong Kim, Jae Ah Lee, Chang Jun Lee and A Young Choi. Their work appears in journals such as Advanced Energy Materials, Sensors and Actuators B Chemical, RSC Advances, Nano Letters and Scientific Reports.

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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