Tai‐Jin Song

1.2k citations
52 papers · 1.0k indexed · h-index 13

Tai‐Jin Song

42 papers receiving 990 citations

Peers

Tai‐Jin Song
Comparison fields: 5 of 77
  • Safety, Risk, Reliability and Quality 166
  • Electronic, Optical and Magnetic Materials 329
  • Transportation 105
  • Materials Chemistry 665
  • Electrical and Electronic Engineering 461
Replace Changjian Zhang with:
Changjian Zhang China
Kyung‐Eun Lee South Korea
Minan Tang China
Partha Pratim Dey India
Shijia Li China
Arijit Sarkar India
Deepak Gopalakrishna India
A. I. Rudskoy Russia
Mitsuru Saito United States
Tai‐Jin Song relative to Changjian Zhang China Changjian Zhang's profile →
Citations per field
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Changjian Zhang · 1×
Citations per year

Countries citing papers authored by Tai‐Jin Song

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Jin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Jin Song. 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 Tai‐Jin Song. The network helps show where Tai‐Jin Song may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202422
3 20235
4 20231
5 20230
6 20230
7 20229
8 20202
9 20182
10 20163
11 2013102
12 20111
13 20102
14 20105
15
Analysis of User Preference for Designing Real-Time Warning Information
20093
16
Effects of In-vehicle Warning Information on Drivers' Responsive Behavior
20093
17
Advanced Freeway Traffic Safety Warning Information System based on Surrogate Safety Measures (SSM): Information Processing Methods
20091
18 20095
19
Methodology for Evaluating Collision Risks Using Vehicle Trajectory Data
20081
20 19853

About Tai‐Jin Song

Tai‐Jin Song is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Electronic, Optical and Magnetic Materials, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (19 papers), Multiferroics and related materials (14 papers), Microwave Dielectric Ceramics Synthesis (10 papers), Traffic and Road Safety (8 papers), Smart Grid Security and Resilience (6 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Safety Warnings and Signage (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (166 citations), Electronic, Optical and Magnetic Materials (329 citations) and Transportation (105 citations). Tai‐Jin Song has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Y. S. Sung, Younshik Chung, Byoung-Jo Yoon, D. Do, Junho Hong, Sung‐Soo Kim, Heap‐Yih Chong, S. S. Kim, Hyojong Lee and Yong‐Ill Lee. Their work appears in journals such as Applied Physics Letters, Integrated ferroelectrics, Ceramics International, IET Intelligent Transport Systems and International Journal of Environmental Research and Public Health.

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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