Dongjoo Shin
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Hardware and Architecture top 5%
- Biomedical Engineering
- Co-authors
- Hoi‐Jun YooJinmook LeeSanghoon KangJinsu LeeChanghyeon KimSangyeob KimSungpill ChoiKyeongryeol Bong
- Topics
- Advanced Neural Network Applications (12 papers)Advanced Memory and Neural Computing (11 papers)Calibration and Measurement Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionHardware and ArchitectureElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the IEEEScientific Reports
- Partner nations
- South KoreaIndiaRussia
In The Last Decade
Dongjoo Shin
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Electrical and Electronic Engineering 916
- Computer Vision and Pattern Recognition 642
- Artificial Intelligence 339
- Hardware and Architecture 163
- Biomedical Engineering 115
Countries citing papers authored by Dongjoo Shin
This map shows the geographic impact of Dongjoo 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 Dongjoo Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongjoo Shin more than expected).
Fields of papers citing papers by Dongjoo Shin
This network shows the impact of papers produced by Dongjoo 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 Dongjoo Shin. The network helps show where Dongjoo Shin may publish in the future.
Co-authorship network of co-authors of Dongjoo Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Dongjoo Shin. A scholar is included among the top collaborators of Dongjoo 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 Dongjoo Shin. Dongjoo Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 36 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 232 | |
| 9 | 236 | |
| 10 | 239 | |
| 11 | 15 | |
| 12 | DNPU: An Energy-Efficient Deep Neural Network Processor with On-Chip Stereo Matching | 1 |
| 13 | 29 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | A 1.93 TOPS/W Scalable Deep Learning/Inference Processor with Tetra-parallel MIMD Architecture for Big Data Applications | 34 |
| 17 | 78 | |
| 18 | 10 | |
| 19 | Optimal Design of an In-Wheel Permanent Magnet Synchronous Motor for mobile robot | 1 |
| 20 | 13 |
About Dongjoo Shin
Dongjoo Shin is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Electrical and Electronic Engineering, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Advanced Memory and Neural Computing (11 papers) and Calibration and Measurement Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (642 citations), Hardware and Architecture (163 citations) and Electrical and Electronic Engineering (916 citations). Dongjoo Shin has collaborated with scholars based in South Korea, India and Russia. Frequent co-authors include Hoi‐Jun Yoo, Jinmook Lee, Sanghoon Kang, Jinsu Lee, Changhyeon Kim, Sangyeob Kim, Sungpill Choi, Kyeongryeol Bong, Seong‐Wook Park and Taesung Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE 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.