Tae Kyung Kim

About Tae Kyung Kim

Tae Kyung Kim, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Machine Learning, Phenology, Remote Sensing, Plant Identification.

His recent articles reflect a diverse array of research interests and contributions to the field:

Promotion of cold stress tolerance in transplanted Pinus densiflora seedlings after long-term moderate drought hardening

Waterlogging Hardening Effect on Transplant Stress Tolerance in Pinus densiflora

Spatial database of planted forests in East Asia

Drought hardening effect on improving transplant stress tolerance in Pinus densiflora

Quantifying the importance of day length in process-based models for the prediction of temperate spring flowering phenology

PM2. 5 reduction capacities and their relation to morphological and physiological traits in 13 landscaping tree species

Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping

Utilizing machine learning for detecting flowering in mid-range digital repeat photography

Tae Kyung Kim Information

University

Position

___

Citations(all)

47

Citations(since 2020)

47

Cited By

1

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Tae Kyung Kim Skills & Research Interests

Machine Learning

Phenology

Remote Sensing

Plant Identification

Top articles of Tae Kyung Kim

Promotion of cold stress tolerance in transplanted Pinus densiflora seedlings after long-term moderate drought hardening

Forest Ecology and Management

2024/4/1

Waterlogging Hardening Effect on Transplant Stress Tolerance in Pinus densiflora

Forests

2024/2/26

Spatial database of planted forests in East Asia

Scientific data

2023/7/22

Drought hardening effect on improving transplant stress tolerance in Pinus densiflora

Environmental and Experimental Botany

2023/3/1

Quantifying the importance of day length in process-based models for the prediction of temperate spring flowering phenology

Science of The Total Environment

2022/10/15

Tae Kyung Kim
Tae Kyung Kim

H-Index: 1

Hyun Seok Kim
Hyun Seok Kim

H-Index: 19

PM2. 5 reduction capacities and their relation to morphological and physiological traits in 13 landscaping tree species

Urban Forestry & Urban Greening

2022/4/1

Tae Kyung Kim
Tae Kyung Kim

H-Index: 1

Hyun Seok Kim
Hyun Seok Kim

H-Index: 19

Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping

Scientific Reports

2022/3/19

Tae Kyung Kim
Tae Kyung Kim

H-Index: 1

Hyun Seok Kim
Hyun Seok Kim

H-Index: 19

Utilizing machine learning for detecting flowering in mid-range digital repeat photography

Ecological Modelling

2021/1/15

Tae Kyung Kim
Tae Kyung Kim

H-Index: 1

Hyun Seok Kim
Hyun Seok Kim

H-Index: 19

최근 12 년간 아까시나무 만개일의 변화와 과정기반모형을 활용한 지역별 만개일 예측

한국산림과학회지 (구 한국임학회지)

2021

Comparison of the weather station networks used for the estimation of the cultivar parameters of the CERES-Rice model in Korea

Korean Journal of Agricultural and Forest Meteorology

2021

Shinwoo Hyun
Shinwoo Hyun

H-Index: 1

Tae Kyung Kim
Tae Kyung Kim

H-Index: 1

Recent changes in bloom dates of Robinia pseudoacacia and bloom date predictions using a process-based model in South Korea

Journal of Korean Society of Forest Science

2021

Tae Kyung Kim
Tae Kyung Kim

H-Index: 1

Hyun Seok Kim
Hyun Seok Kim

H-Index: 19

NO2 and SO2 Reduction Capacities and Their Relation to Leaf Physiological and Morphological Traits in Ten Landscaping Tree Species

Journal of Korean Society of Forest Science

2021

Tae Kyung Kim
Tae Kyung Kim

H-Index: 1

Hyun Seok Kim
Hyun Seok Kim

H-Index: 19

Construction of a Bark Dataset for Automatic Tree Identification and Developing a Convolutional Neural Network-based Tree Species Identification Model

Journal of Korean Society of Forest Science

2021

Tae Kyung Kim
Tae Kyung Kim

H-Index: 1

Hyun Seok Kim
Hyun Seok Kim

H-Index: 19

Sapflux Measurement Database Using Granier's Heat Dissipation Method and Heat Pulse Method

Korean Journal of Agricultural and Forest Meteorology

2020

Changes of tree species composition and distribution patterns in mts. Jiri and baegun, Republic of Korea over 15 years

Forests

2020/2/7

Tae Kyung Kim
Tae Kyung Kim

H-Index: 1

Hyun Seok Kim
Hyun Seok Kim

H-Index: 19

See List of Professors in Tae Kyung Kim University(Seoul National University)

Co-Authors

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