Sungchan Oh

837 total citations
33 papers, 575 citations indexed

About

Sungchan Oh is a scholar working on Ecology, Environmental Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sungchan Oh has authored 33 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 11 papers in Environmental Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sungchan Oh's work include Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Smart Agriculture and AI (5 papers). Sungchan Oh is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (9 papers) and Smart Agriculture and AI (5 papers). Sungchan Oh collaborates with scholars based in United States, South Korea and Mexico. Sungchan Oh's co-authors include Jinha Jung, Anjin Chang, Akash Ashapure, Juan Landivar, Murilo Maeda, Gyeonghwan Kim, Nothabo Dube, Jangwon Suh, Yosoon Choi and Junho Yeom and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Frontiers in Plant Science.

In The Last Decade

Sungchan Oh

30 papers receiving 553 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sungchan Oh United States 13 224 211 187 112 52 33 575
Bikram Pratap Banerjee Australia 16 201 0.9× 209 1.0× 191 1.0× 95 0.8× 71 1.4× 41 733
Dmitrii Shadrin Russia 15 143 0.6× 285 1.4× 155 0.8× 109 1.0× 99 1.9× 48 694
Hongchun Zhu China 16 298 1.3× 205 1.0× 208 1.1× 53 0.5× 110 2.1× 49 722
Anesmar Olino de Albuquerque Brazil 11 178 0.8× 102 0.5× 134 0.7× 69 0.6× 101 1.9× 18 470
Frank Boochs Germany 10 266 1.2× 137 0.6× 196 1.0× 98 0.9× 127 2.4× 31 714
Osmar Luiz Ferreira de Carvalho Brazil 14 214 1.0× 125 0.6× 149 0.8× 74 0.7× 140 2.7× 29 570
Austin M. Jensen United States 15 219 1.0× 113 0.5× 322 1.7× 92 0.8× 108 2.1× 46 866
Aleem Khaliq Italy 7 214 1.0× 221 1.0× 142 0.8× 78 0.7× 70 1.3× 13 476
Uwe Knauer Germany 6 175 0.8× 87 0.4× 240 1.3× 87 0.8× 63 1.2× 14 655
Ku Wang China 13 134 0.6× 182 0.9× 207 1.1× 53 0.5× 65 1.3× 29 599

Countries citing papers authored by Sungchan Oh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sungchan Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Sungchan Oh. A scholar is included among the top collaborators of Sungchan Oh 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 Sungchan Oh. Sungchan Oh 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
1.
Oh, Sungchan, et al.. (2024). Presymptomatic Leaf Reflectance of Fusarium virguliforme-Infected Soybean Plants in Greenhouse Conditions. SHILAP Revista de lepidopterología. 4(4). 544–552. 1 indexed citations
2.
Oh, Sungchan & Jinyoung Moon. (2024). Trajectory Prediction using Attentive Visual Features. 1–7.
3.
Knott, Jonathan A., Greg C. Liknes, Sungchan Oh, et al.. (2023). Effects of outliers on remote sensing‐assisted forest biomass estimation: A case study from the United States national forest inventory. Methods in Ecology and Evolution. 14(7). 1587–1602. 17 indexed citations
4.
Zhang, Chongyuan, Da-Young Lee, Darcy E. P. Telenko, et al.. (2023). Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning. Frontiers in Plant Science. 13. 1077403–1077403. 10 indexed citations
5.
Oh, Sungchan, et al.. (2022). High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA. Remote Sensing. 14(4). 935–935. 22 indexed citations
6.
Jung, Jinha, et al.. (2022). An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping. Remote Sensing. 14(17). 4274–4274. 5 indexed citations
7.
Lee, Youngwan, et al.. (2021). Adversarial Training With Stochastic Weight Average. 814–818. 5 indexed citations
8.
Oh, Sungchan, Da-Young Lee, Akash Ashapure, et al.. (2021). Tar Spot Disease Quantification Using Unmanned Aircraft Systems (UAS) Data. Remote Sensing. 13(13). 2567–2567. 11 indexed citations
9.
Jung, Jinha & Sungchan Oh. (2021). Indiana Statewide Digital Surface Model (2016-2019). 1 indexed citations
10.
Ashapure, Akash, Jinha Jung, Sungchan Oh, et al.. (2020). Combining UAS and Sentinel-2 Data to Estimate Canopy Parameters of a Cotton Crop Using Machine Learning. 4. 5199–5202. 2 indexed citations
11.
Ashapure, Akash, Jinha Jung, Anjin Chang, et al.. (2020). Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data. ISPRS Journal of Photogrammetry and Remote Sensing. 169. 180–194. 96 indexed citations
12.
Oh, Sungchan, Anjin Chang, Akash Ashapure, et al.. (2020). Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework. Remote Sensing. 12(18). 2981–2981. 61 indexed citations
13.
Han, Youkyung, Jaewan Choi, Jinha Jung, et al.. (2019). Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms. Journal of Sensors. 2019. 1–10. 11 indexed citations
14.
Yun, Kimin, Yongjin Kwon, Sungchan Oh, Jinyoung Moon, & Jongyoul Park. (2019). Vision‐based garbage dumping action detection for real‐world surveillance platform. ETRI Journal. 41(4). 494–505. 44 indexed citations
15.
Lee, Sumin, Sungchan Oh, Chanho Jung, & Changick Kim. (2019). A Global-Local Embedding Module for Fashion Landmark Detection. 3153–3156. 22 indexed citations
16.
Kim, Hyun Woo, et al.. (2019). Self-Improving Artificial Intelligence Technology. 34(4). 43–54. 1 indexed citations
17.
Oh, Sungchan, Chang‐Uk Hyun, & Hyeong‐Dong Park. (2017). Near-Infrared Spectroscopy of Limestone Ore for CaO Estimation under Dry and Wet Conditions. Minerals. 7(10). 193–193. 8 indexed citations
18.
Oh, Sungchan, et al.. (2012). Analysis of Rock Discontinuities Using Terrestrial Laser Scanning. Journal of the Korean Society of Mineral and Energy Resources Engineers. 49(1). 37–46.
19.
Kim, Sung‐Min, et al.. (2012). Estimation of soil erosion and sediment yield from mine tailing dumps using GIS: a case study at the Samgwang mine, Korea. Geosystem Engineering. 15(1). 2–9. 33 indexed citations
20.

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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2026