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Keemin Sohn

Observed names: Sohn, Keemin, 손기민
ORCID: 0000-0002-7270-7094
Observed ORCID: 0000-0002-7270-7094
OpenAlex ID: A5030214558
Classification of crystal structure using a convolutional neural network
2017 · Woon Bae Park, Jiyong Chung, et al. · IUCrJ · 255
Factors generating boardings at Metro stations in the Seoul metropolitan area
2010 · Keemin Sohn, Hyunjin Shim · Cities · 250
Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)
2020 · Byeonghyeop Yu, Yongjin Lee, et al. · Transportation Research Part C Emerging Technologies · 248
An analysis of Metro ridership at the station-to-station level in Seoul
2011 · Jinkyung Choi, Yong Jae Lee, et al. · Transportation · 212
Activity imputation for trip-chains elicited from smart-card data using a continuous hidden Markov model
2015 · Gain Han, Keemin Sohn · Transportation Research Part B Methodological · 101
Image-Based Learning to Measure Traffic Density Using a Deep Convolutional Neural Network
2017 · Jiyong Chung, Keemin Sohn · IEEE Transactions on Intelligent Transportation Systems · 100
Dynamic Origin–Destination Flow Estimation Using Cellular Communication System
2008 · Keemin Sohn, Daehyun Kim · IEEE Transactions on Vehicular Technology · 86
Deep‐learning architecture to forecast destinations of bus passengers from entry‐only smart‐card data
2017 · Jaeyoung Jung, Keemin Sohn · IET Intelligent Transport Systems · 81
Reinforcement Learning for Joint Control of Traffic Signals in a Transportation Network
2019 · Jincheol Lee, Jiyong Chung, et al. · IEEE Transactions on Vehicular Technology · 67
Why do passengers choose a specific car of a metro train during the morning peak hours?
2014 · Hyunmi Kim, Sohee Kwon, et al. · Transportation Research Part A Policy and Practice · 62
An extremely simple macroscale electronic skin realized by deep machine learning
2017 · Kee-Sun Sohn, Jiyong Chung, et al. · Scientific Reports · 58
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Calibrating a social-force-based pedestrian walking model based on maximum likelihood estimation
2012 · Moonsoo Ko, Taewan Kim, et al. · Transportation · 57
Space-Based Passing Time Estimation on a Freeway Using Cell Phones as Traffic Probes
2008 · Keemin Sohn, Keeyeon Hwang · IEEE Transactions on Intelligent Transportation Systems · 54
Image-to-Image Learning to Predict Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies
2018 · Dohyoung Jo, Byeonghyeop Yu, et al. · IEEE Transactions on Vehicular Technology · 50
Identifying driver heterogeneity in car-following based on a random coefficient model
2013 · Ikki Kim, Taewan Kim, et al. · Transportation Research Part C Emerging Technologies · 48
Separation of car-dependent commuters from normal-choice riders in mode-choice analysis
2009 · Keemin Sohn, Jiyoung Yun · Transportation · 47
Artificial intelligence for traffic signal control based solely on video images
2017 · Hyunjeong Jeon, Jincheol Lee, et al. · Journal of Intelligent Transportation Systems · 43
Inferring the route-use patterns of metro passengers based only on travel-time data within a Bayesian framework using a reversible-jump Markov chain Monte Carlo (MCMC) simulation
2015 · Minseo Lee, Keemin Sohn · Transportation Research Part B Methodological · 43
Multi-objective optimization of a road diet network design
2011 · Keemin Sohn · Transportation Research Part A Policy and Practice · 42
Analyzing the time frame for the transition from leisure-cyclist to commuter-cyclist
2010 · Hyochul Park, Yong Jae Lee, et al. · Transportation · 37
Imputing qualitative attributes for trip chains extracted from smart card data using a conditional generative adversarial network
2022 · Eui-Jin Kim, Dong-Kyu Kim, et al. · Transportation Research Part C Emerging Technologies · 35
Identifying the Impact on Land Prices of Replacing At-grade or Elevated Railways with Underground Subways in the Seoul Metropolitan Area
2013 · Jaewoo Lee, Keemin Sohn · Urban Studies · 31
Increasing the number of bicycle commuters
2012 · Inkyung Lee, Hyochul Park, et al. · Proceedings of the Institution of Civil Engineers - Transport · 28
Deep-Learning Technique To Convert a Crude Piezoresistive Carbon Nanotube-Ecoflex Composite Sheet into a Smart, Portable, Disposable, and Extremely Flexible Keypad
2018 · Jin-Woong Lee, Jiyong Chung, et al. · ACS Applied Materials & Interfaces · 27
Statistical Model for Forecasting Link Travel Time Variability
2009 · Keemin Sohn, Daehyun Kim · Journal of Transportation Engineering · 27
Works count: 75
Citation count: 2,472
H-index: 26
I10-index: 41
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