Sungchan Oh
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Ecology top 10%
- Remote Sensing in Agriculture
Papers in
- Ecology 11
- Remote Sensing in Agriculture 10
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- Remote Sensing and LiDAR Applications 9
- Co-authors
- Jinha Jung (14 shared papers)Akash Ashapure (9 shared papers)Anjin Chang (7 shared papers)Juan Landivar (7 shared papers)Murilo Maeda (3 shared papers)Gyeonghwan Kim (4 shared papers)Nothabo Dube (3 shared papers)Jangwon Suh (3 shared papers)
- Journals
- Remote Sensing (5 papers)Computers & Geosciences (1 paper)IEEE Transactions on Consumer Electronics (1 paper)IEEE Transactions on Image Processing (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- United StatesSouth KoreaMexico
In The Last Decade
Sungchan Oh
30 papers receiving 553 citations
Peers
Comparison fields: 5 of 80
- Environmental Engineering 187
- Ecology 224
- Plant Science 211
- Computer Vision and Pattern Recognition 112
- Analytical Chemistry 44
Countries citing papers authored by Sungchan Oh
This map shows the geographic impact of Sungchan Oh'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 Sungchan Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungchan Oh more than expected).
Fields of papers citing papers by Sungchan Oh
This network shows the impact of papers produced by Sungchan Oh. 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 Sungchan Oh. The network helps show where Sungchan Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungchan Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2019 | 70 | |
| 3 | 2020 | 61 | |
| 4 | 2019 | 44 | |
| 5 | 2016 | 35 | |
| 6 | 2012 | 33 | |
| 7 | 2012 | 33 | |
| 8 | 2019 | 27 | |
| 9 | 2022 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2023 | 17 | |
| 12 | 2014 | 17 | |
| 13 | 2008 | 14 | |
| 14 | 2021 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2017 | 8 | |
| 18 | 2009 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2021 | 5 |
About Sungchan Oh
Sungchan Oh is a scholar working on Ecology, Environmental Engineering, Computer Vision and Pattern Recognition, Plant Science and Nature and Landscape Conservation, having authored 33 papers that have together received 575 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (9 papers), Smart Agriculture and AI (5 papers), Advanced Vision and Imaging (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Soil and Land Suitability Analysis (3 papers), Forest ecology and management (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Environmental Engineering (187 citations), Ecology (224 citations), Plant Science (211 citations), Computer Vision and Pattern Recognition (112 citations) and Analytical Chemistry (44 citations). Sungchan Oh has collaborated with scholars based in United States, South Korea and Mexico. Frequent co-authors include Jinha Jung, Akash Ashapure, Anjin Chang, Juan Landivar, Murilo Maeda, Gyeonghwan Kim, Nothabo Dube, Jangwon Suh, Yosoon Choi and Junho Yeom. Their work appears in journals such as Remote Sensing, Computers & Geosciences, IEEE Transactions on Consumer Electronics, IEEE Transactions on Image Processing and Frontiers in Plant Science.
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.