Jungsu Park
- Water Science and Technology top 2%
- Biomedical Engineering top 10%
- Environmental Engineering top 5%
- Industrial and Manufacturing Engineering top 5%
- Environmental Chemistry top 5%
- Co-authors
- Woo Hyoung LeeKeugtae KimSang–Hyoun KimTae‐Young HeoCheol Young ParkYounggyu SonGi Beom KimRoent Dune A. Cayetano
- Topics
- Hydrological Forecasting Using AI (14 papers)Water Quality Monitoring Technologies (14 papers)Anaerobic Digestion and Biogas Production (9 papers)
- Cited by
- Water Science and TechnologyIndustrial and Manufacturing EngineeringEnvironmental Chemistry
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentBioresource Technology
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Jungsu Park
58 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Water Science and Technology 442
- Biomedical Engineering 264
- Environmental Engineering 259
- Industrial and Manufacturing Engineering 228
- Environmental Chemistry 220
Countries citing papers authored by Jungsu Park
This map shows the geographic impact of Jungsu 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 Jungsu Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jungsu Park more than expected).
Fields of papers citing papers by Jungsu Park
This network shows the impact of papers produced by Jungsu 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 Jungsu Park. The network helps show where Jungsu Park may publish in the future.
Co-authorship network of co-authors of Jungsu Park
This figure shows the co-authorship network connecting the top 25 collaborators of Jungsu Park. A scholar is included among the top collaborators of Jungsu Park 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 Jungsu Park. Jungsu Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 31 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 73 | |
| 11 | 26 | |
| 12 | 13 | |
| 13 | 46 | |
| 14 | 29 | |
| 15 | 73 | |
| 16 | 1 | |
| 17 | 34 | |
| 18 | 18 | |
| 19 | 3 | |
| 20 | 162 |
About Jungsu Park
Jungsu Park is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Environmental Engineering, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (14 papers), Water Quality Monitoring Technologies (14 papers) and Anaerobic Digestion and Biogas Production (9 papers). The work is most often cited by research in Water Science and Technology (442 citations), Industrial and Manufacturing Engineering (228 citations) and Environmental Chemistry (220 citations). Jungsu Park has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Woo Hyoung Lee, Keugtae Kim, Sang–Hyoun Kim, Tae‐Young Heo, Cheol Young Park, Younggyu Son, Gi Beom Kim, Roent Dune A. Cayetano, Sang‐hun Lee and Yung‐Hun Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Bioresource 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.