Standout Papers

A comparative study of artificial neural networks and support vector machines for predicting grou... 2010 2026 2015 2020 491
  1. A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer (2010)
    Heesung Yoon, Seong-Chun Jun et al. Journal of Hydrology

Immediate Impact

2 from Science/Nature 58 standout
Sub-graph 1 of 21

Citing Papers

Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
2024 Standout
Agriculture and environmental management through nanotechnology: Eco-friendly nanomaterial synthesis for soil-plant systems, food safety, and sustainability
2024 Standout
2 intermediate papers

Works of Seong-Chun Jun being referenced

Field-scale investigation of nanoscale zero-valent iron (NZVI) injection parameters for enhanced delivery of NZVI particles to groundwater
2021
A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer
2010 Standout

Author Peers

Author Last Decade Papers Cites
Seong-Chun Jun 483 66 56 290 146 19 666
Akram Seifi 395 64 41 310 159 26 674
Seyed Babak Haji Seyed Asadollah 472 47 34 441 180 29 831
Yong Jie Wong 285 49 63 294 82 38 698
Ali El Bilali 455 74 84 381 179 31 776
M Kholghi 312 69 178 297 163 27 691
Shih‐Kai Chen 300 64 147 281 99 32 758
Anshuman Singh 401 30 132 336 195 39 785
Gwang‐Ok Bae 522 57 147 315 142 15 727
Zohreh Sheikh Khozani 306 33 43 296 138 42 777
Elnaz Sharghi 377 52 12 318 235 25 696

All Works

Loading papers...

Rankless by CCL
2026