Chang-Woo Shin

633 citations
20 papers · 373 indexed · h-index 9
Topics
Advanced Memory and Neural Computing (9 papers)Electric and Hybrid Vehicle Technologies (7 papers)CCD and CMOS Imaging Sensors (6 papers)
Journals
IEEE Transactions on Neural Networks and Learning SystemsWorld Electric Vehicle JournalOpen Access System for Information Sharing (Pohang University of Science and Technology)

In The Last Decade

Chang-Woo Shin

18 papers receiving 352 citations

Peers

Chang-Woo Shin
Comparison fields: 5 of 60
  • Electrical and Electronic Engineering 243
  • Cognitive Neuroscience 124
  • Cellular and Molecular Neuroscience 68
  • Computer Vision and Pattern Recognition 58
  • Artificial Intelligence 44
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Citations per field
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Citations per year

Countries citing papers authored by Chang-Woo Shin

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Woo Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang-Woo Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Woo Shin. A scholar is included among the top collaborators of Chang-Woo Shin 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 Chang-Woo Shin. Chang-Woo Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 122
2
Stochastic excitation of coherent dynamical states of two coupled FitzHugh-Nagumo neurons
3
3 20
4 6
5 53
6 5
7 9
8 0
9 2
10 14
11 2
12 24
13 15
14 8
15 1
16
Analysis of Correlation of Fuel Efficiency and Cost Depending on Component Size of Heavy-duty Parallel Hybrid System
6
17
Evaluation of Hybridization in FCVs Based on Equivalent Fuel Consumption
1
18
Development of Contact Point Estimation Algorithm of Dry type Clutch with Considering the friction pad wear
2
19
Performance Analysis of Electronic Parking Brake
1
20 79

About Chang-Woo Shin

Chang-Woo Shin is a scholar working on Automotive Engineering, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 20 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Electric and Hybrid Vehicle Technologies (7 papers) and CCD and CMOS Imaging Sensors (6 papers). The work is most often cited by research in Cognitive Neuroscience (124 citations), Human-Computer Interaction (26 citations) and Electrical and Electronic Engineering (243 citations). Chang-Woo Shin has collaborated with scholars based in South Korea, Switzerland and United States. Frequent co-authors include Seunghwan Kim, Hyunsurk Ryu, Tobi Delbrück, Jun Haeng Lee, Kyoobin Lee, Michael Pfeiffer, Junseok Kim, Yunjae Suh, Sungho Kim and Ilia Ovsiannikov. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, World Electric Vehicle Journal and Open Access System for Information Sharing (Pohang University of Science and Technology).

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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