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Kang-Kun Lee

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Earth Science 40 5711 5283 5 5 267 8147

Kang-Kun Lee publications per year

The chart shows the history of publications by Kang-Kun Lee between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kang-Kun Lee published across 32 years, from 1994 to 2025, averaging 11 papers a year. Output peaked at 27 publications in 2022. 40 of the 353 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2022. 1994: 1 publication 1995: 1 publication 1996: 0 publications 1997: 1 publication 1998: 2 publications 1999: 5 publications 2000: 5 publications 2001: 9 publications 2002: 4 publications 2003: 8 publications 2004: 10 publications 2005: 6 publications 2006: 6 publications 2007: 16 publications 2008: 8 publications 2009: 10 publications 2010: 12 publications 2011: 11 publications 2012: 9 publications 2013: 15 publications 2014: 15 publications 2015: 13 publications 2016: 15 publications 2017: 13 publications 2018: 11 publications 2019: 16 publications 2020: 23 publications 2021: 18 publications 2022: 27 publications 2023: 23 publications 2024: 19 publications 2025: 21 publications
1994 2025

353 publications in total across all disciplines

View publications per year as a table
Kang-Kun Lee: publications per year, 1994 to 2025
Year Publications
1994 1
1995 1
1996 0
1997 1
1998 2
1999 5
2000 5
2001 9
2002 4
2003 8
2004 10
2005 6
2006 6
2007 16
2008 8
2009 10
2010 12
2011 11
2012 9
2013 15
2014 15
2015 13
2016 15
2017 13
2018 11
2019 16
2020 23
2021 18
2022 27
2023 23
2024 19
2025 21
Total 353
Download as CSV

Kang-Kun Lee publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Kang-Kun Lee sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 58 bars. Horizontal axis: publications, 38–47 to 603+. Vertical axis: number of scientists, 0 to 557. Most scientists, 557, have 128–137 publications. The last bar groups every scientist with 603 publications or more. The highlighted bar, 258–267 publications, is where this scientist sits. 38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38–47 publications 603+

This scientist: 267 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

View publications distribution as a table
Number of Earth Science scientists by publication count, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
Publications Scientists This scientist
38–47 5
48–57 33
58–67 94
68–77 161
78–87 278
88–97 376
98–107 404
108–117 484
118–127 540
128–137 557
138–147 491
148–157 495
158–167 458
168–177 490
178–187 414
188–197 401
198–207 333
208–217 292
218–227 290
228–237 262
238–247 243
248–257 208
258–267 185 267
268–277 147
278–287 128
288–297 119
298–307 120
308–317 107
318–327 93
328–337 87
338–347 64
348–357 87
358–367 60
368–377 60
378–387 34
388–397 50
398–407 44
408–417 31
418–427 39
428–437 27
438–447 36
448–457 27
458–467 29
468–477 30
478–487 19
488–497 15
498–507 18
508–517 19
518–527 16
528–537 10
538–547 11
548–557 14
558–567 11
568–577 7
578–587 14
588–597 5
598–602 4
603+ 100
Download as CSV

Kang-Kun Lee D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kang-Kun Lee sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 77 bars. Horizontal axis: D-Index, 30 to 106+. Vertical axis: number of scientists, 0 to 389. Most scientists, 389, have 36 D-Index. The last bar groups every scientist with 106 D-Index or more. The highlighted bar, 40 D-Index, is where this scientist sits. 30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 40 D-Index — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 106 D-Index or more.

View D-Index distribution as a table
Number of Earth Science scientists by D-index, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
D-Index Scientists This scientist
30 144
31 215
32 278
33 379
34 366
35 372
36 389
37 366
38 344
39 349
40 296 40
41 289
42 277
43 279
44 248
45 257
46 212
47 202
48 207
49 204
50 183
51 178
52 182
53 178
54 163
55 117
56 163
57 120
58 113
59 136
60 135
61 96
62 103
63 83
64 103
65 83
66 89
67 92
68 89
69 78
70 75
71 53
72 62
73 54
74 35
75 52
76 50
77 32
78 37
79 20
80 33
81 36
82 34
83 34
84 24
85 19
86 18
87 26
88 30
89 17
90 21
91 19
92 15
93 14
94 20
95 9
96 10
97 15
98 13
99 3
100 13
101 3
102 9
103 4
104 6
105 6
106+ 98
Download as CSV

Overview

Kang-Kun Lee is affiliated with Seoul National University in South Korea and has contributed extensively to the fields of Environmental Science and Earth and Planetary Sciences. Their research activity spans various subfields, including Environmental Engineering, Geochemistry and Petrology, Geophysics, Ocean Engineering, and Global and Planetary Change.

Their work has been published frequently in several notable venues, with multiple publications in The Science of The Total Environment and SSRN Electronic Journal. Other common publication venues include Journal of Hydrology, Journal of Environmental Management, and Journal of Hazardous Materials.

Lee's research focuses on several main topics, such as Groundwater flow and contamination studies, Groundwater and Isotope Geochemistry, CO2 Sequestration and Geologic Interactions, earthquake and tectonic studies, Earthquake Detection and Analysis, Radioactivity and Radon Measurements, and Seismology and Earthquake Studies.

Frequent coauthors of Lee include the following researchers:

  • Dugin Kaown
  • YeoJin Ju
  • Seong-Sun Lee
  • Jaeyeon Kim
  • Won-Tak Joun

Among recent publications, selected works include:

  • Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers, 2022, Applied Energy
  • Causal mechanism of injection-induced earthquakes through the Mw 5.5 Pohang earthquake case study, 2020, Nature Communications
  • Application of geographically weighted regression models to predict spatial characteristics of nitrate contamination: Implications for an effective groundwater management strategy, 2020, Journal of Environmental Management
  • Application of machine learning to predict CO2 trapping performance in deep saline aquifers, 2021, Energy
  • Application of robust intelligent schemes for accurate modelling interfacial tension of CO2 brine systems: Implications for structural CO2 trapping, 2022, Fuel

Their work often integrates machine learning and geospatial modeling techniques to address environmental challenges. Specific research includes predictions of CO2 sequestration potential, modeling of earthquake mechanisms related to injection activities, and analysis of groundwater contamination. This multidisciplinary approach intersects environmental science, geophysics, and engineering principles.

Best Publications

  • A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

    Heesung Yoon;Seong-Chun Jun;Yunjung Hyun;Gwang-Ok Bae

  • Characterization of a Ground Water Hydrochemical System Through Multivariate Analysis: Clustering into Ground Water Zones

    Heejun Suk;Kang-Kun Lee

  • Does sea-level rise have an impact on saltwater intrusion?

    Sun Woo Chang;T. Prabhakar Clement;Matthew J. Simpson;Kang-Kun Lee

  • Use of hydrologic time series data for identification of recharge mechanism in a fractured bedrock aquifer system

    Jin-Yong Lee;Kang-Kun Lee

  • Managing injection-induced seismic risks.

    Kang-Kun Lee;William L. Ellsworth;Domenico Giardini;John Townend

  • Large submarine groundwater discharge (SGD) from a volcanic island

    Guebuem Kim;Kang-Kun Lee;Kwan-Suk Park;Dong-Woon Hwang

  • Predicting groundwater level fluctuations with meteorological effect implications-A comparative study among soft computing techniques

    Jalal Shiri;Ozgur Kisi;Heesung Yoon;Kang-Kun Lee

  • Statistical evaluation of geochemical parameter distribution in a ground water system contaminated with petroleum hydrocarbons.

    Jin-Yong Lee;Jeong-Yong Cheon;Kang-Kun Lee;Seok-Young Lee

  • Identification of nitrate and sulfate sources in groundwater using dual stable isotope approaches for an agricultural area with different land use (Chuncheon, mid-eastern Korea)

    Dugin Kaown;Dong-Chan Koh;Bernhard Mayer;Kang-Kun Lee

  • Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers

    Unknown

  • Nitrogen transformation and transport modeling in groundwater aquifers

    Mee-Sun Lee;Kang-Kun Lee;Yunjung Hyun;T. Prabhakar Clement

  • A method to improve the stability and accuracy of ANN- and SVM-based time series models for long-term groundwater level predictions

    Heesung Yoon;Yunjung Hyun;Kyoochul Ha;Kang-Kun Lee

  • Identifying the sources of nitrate contamination of groundwater in an agricultural area (Haean basin, Korea) using isotope and microbial community analyses

    Heejung Kim;Dugin Kaown;Bernhard Mayer;Jin-Yong Lee

  • Assessment of the validity of Stokes and Reynolds equations for fluid flow through a rough-walled fracture with flow imaging

    Seung Hyun Lee;Kang-Kun Lee;In Wook Yeo

  • Application of machine learning to predict CO2 trapping performance in deep saline aquifers

    Unknown

  • Using artificial neural network models for groundwater level forecasting and assessment of the relative impacts of influencing factors

    Sanghoon Lee;Kang-Kun Lee;Heesung Yoon

  • Application of robust intelligent schemes for accurate modelling interfacial tension of CO2 brine systems: Implications for structural CO2 trapping

    Unknown

  • Generalized solution to multi-dimensional multi-species transport equations coupled with a first-order reaction network involving distinct retardation factors

    Cristhian R. Quezada;T.Prabhakar Clement;Kang-Kun Lee

  • Transport and intersection mixing in random fracture networks with power law length distributions

    Young-Jin Park;Jean-Raynald de Dreuzy;Kang-Kun Lee;Brian Berkowitz

  • Application of geographically weighted regression models to predict spatial characteristics of nitrate contamination: Implications for an effective groundwater management strategy.

    Eun-Hee Koh;Eunhee Lee;Kang-Kun Lee

  • Factors affecting the spatial pattern of nitrate contamination in shallow groundwater.

    Dugin Kaown;Yunjung Hyun;Gwang-Ok Bae;Kang-Kun Lee

  • Urbanization and the groundwater budget, metropolitan Seoul area, Korea

    Yoon-Young Kim;Kang-Kun Lee;Ig Hwan Sung

  • Domenico Solution—Is It Valid?

    V. Srinivasan;T.P. Clement;K.K. Lee

  • Factors affecting the distribution of hydrocarbon contaminants and hydrogeochemical parameters in a shallow sand aquifer.

    Jin-Yong Lee;Jeong-Yong Cheon;Kang-Kun Lee;Seok-Young Lee

Frequent Co-Authors

T. Prabhakar Clement
T. Prabhakar Clement Quality Research
Bernhard Mayer
Bernhard Mayer University of Calgary
Seong Taek Yun
Seong Taek Yun Korea University
Brian Berkowitz
Brian Berkowitz Weizmann Institute of Science
Edward A. Sudicky
Edward A. Sudicky University of Waterloo
Robert J. Glass
Robert J. Glass Sandia National Laboratories
Jin Yong Lee
Jin Yong Lee Sungkyunkwan University
Shemin Ge
Shemin Ge University of Colorado Boulder
Marco Petitta
Marco Petitta Sapienza University of Rome
Kug Sun Hong
Kug Sun Hong Seoul National University

External Links

Personal website of Kang-Kun Lee

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Exploring these related degrees online allows students to tailor their education to evolving job markets and personal interests, making a career in Earth Science more dynamic and impactful.

Best Scientists Citing Kang-Kun Lee

Seong Taek Yun

Seong Taek Yun

Korea University

Publications: 34

Guebuem Kim

Guebuem Kim

Seoul National University

Publications: 24

Yi-Feng Chen

Yi-Feng Chen

Wuhan University

Publications: 17

T. Prabhakar Clement

T. Prabhakar Clement

Quality Research

Publications: 17

Yujing Jiang

Yujing Jiang

Nagasaki University

Publications: 16

Behzad Ataie-Ashtiani

Behzad Ataie-Ashtiani

University of Newcastle Australia

Publications: 15

Richeng Liu

Richeng Liu

China University of Mining and Technology

Publications: 15

Ling Li

Ling Li

University of Queensland

Publications: 15

Massimo Rolle

Massimo Rolle

Technical University of Darmstadt

Publications: 15

Chunmiao Zheng

Chunmiao Zheng

Southern University of Science and Technology

Publications: 15

Ozgur Kisi

Ozgur Kisi

Ilia State University

Publications: 14

Jeffrey D. Hyman

Jeffrey D. Hyman

Los Alamos National Laboratory

Publications: 13

Craig T. Simmons

Craig T. Simmons

University of Newcastle Australia

Publications: 12

Xavier Sanchez-Vila

Xavier Sanchez-Vila

Universitat Politècnica de Catalunya

Publications: 12

Takahiro Hosono

Takahiro Hosono

Kumamoto University

Publications: 12

Albert Soler

Albert Soler

University of Barcelona

Publications: 11

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Oak Ridge National Laboratory

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Avi Hofstein

Weizmann Institute of Science

Louk J. M. J. Vanderschuren

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