Tiejun Wang

Tiejun Wang

Universiteit Twente

H-index: 50

Europe-Netherlands

About Tiejun Wang

Tiejun Wang, With an exceptional h-index of 50 and a recent h-index of 41 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of Remote sensing, Artificial intelligence, Species populations, Wildlife habitat, Biogeography.

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

Island biogeography theory and the habitat heterogeneity jointly explain global patterns of Rhododendron diversity

Elephants rest more when the poaching risk is high and do not recover the lost time within a diel cycle

A review of deep learning techniques for detecting animals in aerial and satellite images

Satellite hyperspectral imagery reveals scale dependence of functional diversity patterns in a Qinghai-Tibetan alpine meadow

Retrieving leaf lignocellulose of conifer species using PROSPECT-PRO model

Satellite-based monitoring of the world’s largest terrestrial mammal migration using deep learning

An enhanced algorithm for co-registering individual trees extracted from airborne LiDAR and aerial photographs

Mapping soil microbiological biodiversity using simulated CHIME hyperspectral data

Tiejun Wang Information

University

Position

Associate Professor of Ecological Remote Sensing ITC The Netherlands

Citations(all)

6889

Citations(since 2020)

4846

Cited By

3903

hIndex(all)

50

hIndex(since 2020)

41

i10Index(all)

114

i10Index(since 2020)

104

Email

University Profile Page

Google Scholar

Tiejun Wang Skills & Research Interests

Remote sensing

Artificial intelligence

Species populations

Wildlife habitat

Biogeography

Top articles of Tiejun Wang

Title

Journal

Author(s)

Publication Date

Island biogeography theory and the habitat heterogeneity jointly explain global patterns of Rhododendron diversity

Plant Diversity

Yanwei Guan

Yongru Wu

Zheng Cao

Zhifeng Wu

Fangyuan Yu

...

2024/4/3

Elephants rest more when the poaching risk is high and do not recover the lost time within a diel cycle

Global Ecology and Conservation

Festus W Ihwagi

Andrew K Skidmore

Guillaume Bastille-Rosseau

Tiejun Wang

Albertus Toxopeus

...

2024/6/1

A review of deep learning techniques for detecting animals in aerial and satellite images

Zeyu Xu

Tiejun Wang

Andrew K Skidmore

Richard Lamprey

2024/4/1

Satellite hyperspectral imagery reveals scale dependence of functional diversity patterns in a Qinghai-Tibetan alpine meadow

International Journal of Applied Earth Observation and Geoinformation

Yi-Wei Zhang

Yanpei Guo

Yuhao Feng

Zhenhua Zhang

Rong Tang

...

2024/5/1

Retrieving leaf lignocellulose of conifer species using PROSPECT-PRO model

Alejandra Torres Rodriguez

R Darvishzadeh

AK Skidmore

Tiejun Wang

2024/4/18

Satellite-based monitoring of the world’s largest terrestrial mammal migration using deep learning

Zijing Wu

Tiejun Wang

Ce Zhang

Isla Duporge

Xiaowei Gu

...

2024/3/8

An enhanced algorithm for co-registering individual trees extracted from airborne LiDAR and aerial photographs

Yi Xu

Tiejun Wang

AK Skidmore

2024/3/8

Mapping soil microbiological biodiversity using simulated CHIME hyperspectral data

AK Skidmore

H Abdullah

Andjin Siegenthaler

Devara Prawira Adiningrat

Yiwei Duan

...

2024/4/16

Field estimation of fallen deadwood volume under different management approaches in two European protected forested areas

Forestry: An International Journal of Forest Research

Mélody Rousseau

Devara P Adiningrat

Andrew K Skidmore

Andjin Siegenthaler

Tiejun Wang

...

2024/4/5

Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery

Remote Sensing

Jinxiang Liu

Tiejun Wang

Andrew Skidmore

Yaqin Sun

Peng Jia

...

2023/10/1

How future climate and tree distribution changes shape the biodiversity of macrofungi across Europe

Diversity and Distributions

Haili Yu

Tiejun Wang

Andrew Skidmore

Marco Heurich

Claus Bässler

2023/5

A Novel Approach to Match Individual Trees between Aerial Photographs and Airborne LiDAR Data

Remote Sensing

Yi Xu

Tiejun Wang

Andrew K Skidmore

Tawanda W Gara

2023/8/23

An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data

Forest Ecosystems

Zhengnan Zhang

Tiejun Wang

Andrew K Skidmore

Fuliang Cao

Guanghui She

...

2023/1/1

LiDAR reveals a preference for intermediate visibility by a forest‐dwelling ungulate species

Journal of Animal Ecology

Xin Zong

Tiejun Wang

Andrew K Skidmore

Marco Heurich

2023/7

A pixel dichotomy coupled linear kernel-driven model for estimating fractional vegetation cover in arid areas from high-spatial-resolution images

IEEE Transactions on Geoscience and Remote Sensing

Xu Ma

Jianli Ding

Tiejun Wang

Lei Lu

Hui Sun

...

2023/6/23

Habitat visibility affects the behavioral response of a large herbivore to human disturbance in forest landscapes

Journal of environmental management

Xin Zong

Tiejun Wang

Andrew K Skidmore

Marco Heurich

2023/12/15

Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape

Nature communications

Zijing Wu

Ce Zhang

Xiaowei Gu

Isla Duporge

Lacey F Hughey

...

2023/5/27

Characterizing old-growth forests from multisource remote sensing

DP Adiningrat

AK Skidmore

M Schlund

Tiejun Wang

2022/8/31

Estimating community-level plant functional traits in a species-rich alpine meadow using UAV image spectroscopy

Remote Sensing

Yi-Wei Zhang

Tiejun Wang

Yanpei Guo

Andrew Skidmore

Zhenhua Zhang

...

2022/7/15

Years of Cumulative Open-Source Data Confirm Stable and Robust Biodiversity Distribution Patterns for Macrofungi. J. Fungi 2022, 8, 981

H Yu

T Wang

A Skidmore

M Heurich

C Bässler

2022

See List of Professors in Tiejun Wang University(Universiteit Twente)

Co-Authors

academic-engine