D. Park
Impact in
- Control and Systems Engineering top 10%
- Power Systems Fault Detection
Papers in
-
- Natural Language Processing Techniques 1
- Advanced Computational Techniques and Applications 1
- Neural Networks and Applications 1
- Co-authors
- Abraham Kandel (1 shared paper)G. Langholz (1 shared paper)Jong–Keun Park (1 shared paper)Heung-Jae Lee (1 shared paper)Yong‐Moon Park (1 shared paper)S.S. Venkata (1 shared paper)Laurence R. Rilett (1 shared paper)Seokho Kim (1 shared paper)
- Journals
- Asian-Australasian Journal of Animal Sciences (1 paper)Journal of Building Engineering (1 paper)IEEE Transactions on Power Delivery (1 paper)Journal of Transportation Engineering (1 paper)Electronics Letters (1 paper)
- Partner nations
- South KoreaUnited StatesThailand
In The Last Decade
D. Park
7 papers receiving 343 citations
Peers
Comparison fields: 5 of 73
- Developmental Biology 15
- Control and Systems Engineering 137
- Artificial Intelligence 185
- Small Animals 35
- Animal Science and Zoology 29
Countries citing papers authored by D. Park
This map shows the geographic impact of D. Park'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 D. Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Park more than expected).
Fields of papers citing papers by D. Park
This network shows the impact of papers produced by D. Park. 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 D. Park. The network helps show where D. Park may publish in the future.
Co-authors
The 20 scholars most cited alongside D. Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 206 | |
| 2 | 2000 | 82 | |
| 3 | 2013 | 62 | |
| 4 | 2001 | 21 | |
| 5 | 2024 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2010 | 1 | |
| 8 | 2024 | 0 |
About D. Park
D. Park is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, Building and Construction and Computer Networks and Communications, having authored 8 papers that have together received 375 indexed citations. Recurring topics across this work include Speech and Audio Processing (1 paper), Natural Language Processing Techniques (1 paper), Data Management and Algorithms (1 paper), Food Supply Chain Traceability (1 paper), Advanced Computational Techniques and Applications (1 paper), Optimization and Search Problems (1 paper), Neural Networks and Applications (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Developmental Biology (15 citations), Control and Systems Engineering (137 citations), Artificial Intelligence (185 citations), Small Animals (35 citations) and Animal Science and Zoology (29 citations). D. Park has collaborated with scholars based in South Korea, United States and Thailand. Frequent co-authors include Abraham Kandel, G. Langholz, Jong–Keun Park, Heung-Jae Lee, Yong‐Moon Park, S.S. Venkata, Laurence R. Rilett, Seokho Kim, Hong Hee Chang and Jaeha Kung. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Journal of Building Engineering, IEEE Transactions on Power Delivery, Journal of Transportation Engineering and Electronics Letters.
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.