Jungho Im

14.9k citations

228 papers · 11.9k · 2 hit papers · h-index 51

Impact in

Environmental Engineering top 0.05%
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
Media Technology top 0.1%
- Remote-Sensing Image Classification

Papers in

Atmospheric Science 110
- Meteorological Phenomena and Simulations 31
- Remote Sensing and Land Use 24
- Atmospheric chemistry and aerosols 23
Environmental Engineering 87
- Remote Sensing and LiDAR Applications 38
- Urban Heat Island Mitigation 23

Co-authors: Giorgos Mountrakis (2 shared papers)Jinyoung Rhee (22 shared papers)Lindi J. Quackenbush (24 shared papers)John R. Jensen (18 shared papers)Seonyoung Park (19 shared papers)Cheolhee Yoo (27 shared papers)Colin Joseph Gleason (3 shared papers)Yinghai Ke (6 shared papers)
Journals: Remote Sensing (34 papers)GIScience & Remote Sensing (26 papers)Remote Sensing of Environment (22 papers)ISPRS Journal of Photogrammetry and Remote Sensing (10 papers)International Journal of Applied Earth Observation and Geoinformation (8 papers)
Partner nations: South Korea United States China

In The Last Decade

Jungho Im

211 papers receiving 11.5k citations

Jungho Im's Hit Papers

align trajectories log scale

Support vector machines in remote sensing: A review 2010 · 2.8k citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2010 ISPRS Journal of Photogrammetry and Remote Sensing
2010 Remote Sensing of Environment

Peers

Countries citing papers authored by Jungho Im

Since Specialization

Citations

This map shows the geographic impact of Jungho Im'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 Jungho Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jungho Im more than expected).

Fields of papers citing papers by Jungho Im

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jungho Im. 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 Jungho Im. The network helps show where Jungho Im may publish in the future.

Co-authors

The 25 scholars most cited alongside Jungho Im, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jungho Im Line = papers co-authored together Jungho Im links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Support vector machines in remote sensing: A review ISPRS Journal of Photogrammetry and Remote Sensing ·Giorgos Mountrakis, Jungho Im, Caesar Ogole Hit paper breakdown →	2010	2816
2	Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data Remote Sensing of Environment ·Jinyoung Rhee, Jungho Im, Gregory J. Carbone Hit paper breakdown →	2010	570
3	Object‐based change detection using correlation image analysis and image segmentation International Journal of Remote Sensing ·Jungho Im, John R. Jensen, Jason A. Tullis	2007	341
4	Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions Agricultural and Forest Meteorology ·Seonyoung Park, Jungho Im, Eunna Jang, Jinyoung Rhee	2015	292
5	Forest biomass estimation from airborne LiDAR data using machine learning approaches Remote Sensing of Environment ·Colin Joseph Gleason, Jungho Im	2012	291
6	A change detection model based on neighborhood correlation image analysis and decision tree classification Remote Sensing of Environment ·Jungho Im, Jens Oluf Jensen	2005	257
7	Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification Remote Sensing of Environment ·Yinghai Ke, Lindi J. Quackenbush, Jungho Im	2010	254
8	Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations Remote Sensing of Environment ·Yinghai Ke, Jungho Im, Junghee Lee, Huili Gong, Youngryel Ryu	2015	249
9	Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data Agricultural and Forest Meteorology ·Jinyoung Rhee, Jungho Im	2017	205
10	Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images ISPRS Journal of Photogrammetry and Remote Sensing ·Cheolhee Yoo, Daehyeon Han, Jungho Im, Benjamin Bechtel	2019	185
11	Machine learning approaches to coastal water quality monitoring using GOCI satellite data GIScience & Remote Sensing ·Yong Hoon Kim, Jungho Im, Ho Kyung Ha, Jong-Kuk Choi, Sunghyun Ha	2014	172
12	Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches Environmental Earth Sciences ·Jungho Im, Seonyoung Park, Jinyoung Rhee, Jongjin Baik, Minha Choi	2016	167
13	Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches Remote Sensing ·Yinghai Ke, Jungho Im, Seonyoung Park, Huili Gong	2016	153
14	Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula Agricultural and Forest Meteorology ·Seonyoung Park, Jungho Im, Jinyoung Rhee +1 other	2017	152
15	Comparative Assessment of Various Machine Learning‐Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas Earth and Space Science ·Dongjin Cho, Cheolhee Yoo, Jungho Im, Dong‐Hyun Cha	2020	151
16	Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data Remote Sensing ·Seonyoung Park, Jungho Im, Seohui Park, Cheolhee Yoo, Hyangsun Han, Jinyoung Rhee	2018	136
17	Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia Environmental Pollution ·Yoojin Kang, Hyunyoung Choi, Jungho Im, Seohui Park, Minso Shin, Chang‐Keun Song, Sang‐Min Kim	2021	136
18	Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data ISPRS Journal of Photogrammetry and Remote Sensing ·Cheolhee Yoo, Jungho Im, Seonyoung Park, Lindi J. Quackenbush	2018	136
19	Hyperspectral Remote Sensing of Vegetation Geography Compass ·Jungho Im, John R. Jensen	2008	130
20	Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest GIScience & Remote Sensing ·Manqi Li, Jungho Im, Colin M. Beier	2013	128

About Jungho Im

Jungho Im is a scholar working on Atmospheric Science, Environmental Engineering, Global and Planetary Change, Ecology and Oceanography, having authored 228 papers that have together received 11.9k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (49 papers), Climate variability and models (40 papers), Remote Sensing and LiDAR Applications (38 papers), Meteorological Phenomena and Simulations (31 papers), Remote Sensing and Land Use (24 papers), Atmospheric chemistry and aerosols (23 papers), Urban Heat Island Mitigation (23 papers) and Remote-Sensing Image Classification (19 papers). The work is most often cited by research in Environmental Engineering (4.3k citations), Media Technology (2.2k citations), Global and Planetary Change (5.0k citations), Atmospheric Science (3.7k citations) and Ecology (4.0k citations). Jungho Im has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Giorgos Mountrakis, Jinyoung Rhee, Lindi J. Quackenbush, John R. Jensen, Seonyoung Park, Cheolhee Yoo, Colin Joseph Gleason, Yinghai Ke, Gregory J. Carbone and Eunna Jang. Their work appears in journals such as Remote Sensing, GIScience & Remote Sensing, Remote Sensing of Environment, ISPRS Journal of Photogrammetry and Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

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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Jungho Im's Hit Papers

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Fields of papers citing papers by Jungho Im

All Works

About Jungho Im

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