World's Best Scientists 2026 revealed!
Young-Seuk Park

Young-Seuk Park

Award Badge
Ecology and Evolution
Korea
2026

D-Index & Metrics

Ecology and Evolution

D-Index
44
Citations
7305
World Ranking
5086
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Ecology and Evolution in Korea Leader Award
  • 2025 - Research.com Ecology and Evolution in Korea Leader Award

Overview

Young-Seuk Park is a researcher affiliated with Kyung Hee University in South Korea, primarily working in Environmental Science. The scientific contributions span multiple subfields, including Ecology, Nature and Landscape Conservation, Insect Science, Ecological Modeling, and Ecology, Evolution, Behavior and Systematics.

The research topics that Young-Seuk Park has focused on include:

  • Fish Ecology and Management Studies
  • Species Distribution and Climate Change
  • Environmental DNA in Biodiversity Studies
  • Aquatic Invertebrate Ecology and Behavior
  • Plant and animal studies
  • Freshwater macroinvertebrate diversity and ecology
  • Forest Insect Ecology and Management

Several recent publications illustrate the scope of work and areas of expertise:

  • "An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates," 2021, Journal of Environmental Management
  • "Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters," 2022, Ecological Indicators
  • "Predicting the Global Distribution of Solenopsis geminata (Hymenoptera: Formicidae) under Climate Change Using the MaxEnt Model," 2021, Insects
  • "Predicting potential occurrence of pine wilt disease based on environmental factors in South Korea using machine learning algorithms," 2021, Ecological Informatics
  • "Key Determinants of Freshwater Gastropod Diversity and Distribution: The Implications for Conservation and Management," 2020, Water

Frequent coauthors collaborating with Young-Seuk Park include:

  • Dae-Seong Lee
  • Da-Yeong Lee
  • Ihn-Sil Kwak
  • Tae-Sung Kwon
  • Chang Woo Ji

Publication venues where Young-Seuk Park has contributed multiple works are centered around ecological and environmental journals, with a concentration in:

  • Korean Journal of Ecology and Environment
  • Global Ecology and Conservation
  • Forests
  • Ecological Informatics
  • Insects

Young-Seuk Park's research integrates ecological modeling and machine learning approaches to address environmental and conservation questions with an emphasis on biodiversity, species distribution, and ecosystem management.

Best Publications

  • Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters

    Young-Seuk Park;Régis Céréghino;Arthur Compin;Sovan Lek

  • Patternizing communities by using an artificial neural network

    Tae-Soo Chon;Young Seuk Park;Kyong Hi Moon;Eui Young Cha

  • Conservation Strategies for Endemic Fish Species Threatened by the Three Gorges Dam

    Young-Seuk Park;Jianbo Chang;Sovan Lek;Wenxuan Cao

  • Biological early warning system based on the responses of aquatic organisms to disturbances: a review.

    Mi-Jung Bae;Young-Seuk Park

  • Review of the Self-Organizing Map (SOM) approach in water resources: Commentary

    R. Céréghino;Y. S. Park

  • Artificial Neural Networks: Multilayer Perceptron for Ecological Modeling

    Y.-S. Park;S. Lek

  • Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks.

    Young-Seuk Park;Tae-Soo Chon;Inn-Sil Kwak;Sovan Lek

  • Application of a self-organizing map to select representative species in multivariate analysis: A case study determining diatom distribution patterns across France

    Young-Seuk Park;Juliette Tison;Sovan Lek;Jean-Luc Giraudel

  • Typology of diatom communities and the influence of hydro-ecoregions: a study on the French hydrosystem scale.

    J. Tison;Y.-S. Park;M. Coste;J.G. Wasson

  • Water quality assessment using diatom assemblages and advanced modelling techniques

    Muriel Gevrey;Frédéric Rimet;Young Seuk Park;Jean‐Luc Giraudel

  • Characterizing effects of landscape and morphometric factors on water quality of reservoirs using a self-organizing map

    Young-Seuk Park;Yong-Su Kwon;Soon-Jin Hwang;Sangkyu Park

  • Relationships between stream macroinvertebrates and environmental variables at multiple spatial scales

    Fengqing Li;Namil Chung;Mi-Jung Bae;Yong-Su Kwon

  • Spatial and temporal patterns of benthic invertebrate communities in an intermittent river (North Africa)

    A. Arab;S. Lek;A. Lounaci;Y. S. Park

  • Predicting the species richness of aquatic insects in streams using a limited number of environmental variables

    Régis Céréghino;Young-Seuk Park;Arthur Compin;Sovan Lek

  • Patterning and predicting aquatic macroinvertebrate diversities using artificial neural network.

    Young-Seuk Park;Piet F.M Verdonschot;Tae-Soo Chon;Sovan Lek

  • An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates.

    YoonKyung Cha;Jihoon Shin;ByeongGeon Go;Dae-Seong Lee

  • Modelling Community Structure in Freshwater Ecosystems

    Sovan Lek;Michele Scardi;P. F. M. Verdonschot;J.-P. Descy

  • Impact of Urban Pollution from the Hanoi Area on Benthic Diatom Communities Collected from the Red, Nhue and Tolich Rivers (Vietnam)

    Thi Thuy Duong;Thi Thuy Duong;Michel Coste;Agnès Feurtet-Mazel;Dinh Kim Dang

  • Modelling the factors that influence fish guilds composition using a back-propagation network: Assessment of metrics for indices of biotic integrity

    Alonso Aguilar Ibarra;Muriel Gevrey;Young Seuk Park;Puy Lim

  • Determining temporal pattern of community dynamics by using unsupervised learning algorithms

    Tae-Soo Chon;Young-Seuk Park;June Ho Park

  • Implementation of artificial neural networks in patterning and prediction of exergy in response to temporal dynamics of benthic macroinvertebrate communities in streams

    Young-Seuk Park;Inn-Sil Kwak;Tae-Soo Chon;Jwa-Kwan Kim

Frequent Co-Authors

Sovan Lek
Sovan Lek Paul Sabatier University
Piet F. M. Verdonschot
Piet F. M. Verdonschot Wageningen University & Research
Michel Coste
Michel Coste University of Rennes
Luc Ector
Luc Ector Luxembourg Institute of Science and Technology
Régis Céréghino
Régis Céréghino Paul Sabatier University
Frédéric Rimet
Frédéric Rimet Université Savoie Mont Blanc
Peter Goethals
Peter Goethals Ghent University
Michele Scardi
Michele Scardi University of Rome Tor Vergata
Sébastien Brosse
Sébastien Brosse Paul Sabatier University
Pieter Boets
Pieter Boets Ghent University

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