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Tae-Eog Lee

Tae-Eog Lee

Korea Advanced Institute of Science and Technology
Korea

Last Updated:

D-Index & Metrics

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Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 32 13232 12840 176 176 134 3874

Tae-Eog Lee publications per year

The chart shows the history of publications by Tae-Eog Lee between 1992 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tae-Eog Lee published across 33 years, from 1992 to 2024, averaging 4.4 papers a year. Output peaked at 13 publications in 2012. 5 of the 146 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1992 to 2024. Vertical axis: number of publications, 0 to 13. Peak 13 publications in 2012. 1992: 1 publication 1993: 0 publications 1994: 2 publications 1995: 5 publications 1996: 4 publications 1997: 5 publications 1998: 3 publications 1999: 0 publications 2000: 1 publication 2001: 2 publications 2002: 6 publications 2003: 3 publications 2004: 3 publications 2005: 6 publications 2006: 2 publications 2007: 2 publications 2008: 6 publications 2009: 1 publication 2010: 5 publications 2011: 7 publications 2012: 13 publications 2013: 13 publications 2014: 9 publications 2015: 9 publications 2016: 8 publications 2017: 5 publications 2018: 5 publications 2019: 4 publications 2020: 5 publications 2021: 6 publications 2022: 0 publications 2023: 3 publications 2024: 2 publications
1992 2024

146 publications in total across all disciplines

View publications per year as a table
Tae-Eog Lee: publications per year, 1992 to 2024
Year Publications
1992 1
1993 0
1994 2
1995 5
1996 4
1997 5
1998 3
1999 0
2000 1
2001 2
2002 6
2003 3
2004 3
2005 6
2006 2
2007 2
2008 6
2009 1
2010 5
2011 7
2012 13
2013 13
2014 9
2015 9
2016 8
2017 5
2018 5
2019 4
2020 5
2021 6
2022 0
2023 3
2024 2
Total 146
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Tae-Eog Lee publications per year - data summary

  • Tae-Eog Lee, a Computer Science scholar from Korea Advanced Institute of Science and Technology, has 146 publications recorded across 33 years, from 1992 to 2024.
  • The oldest publication on record dates to 1992 and the most recent to 2024.
  • The most productive years are 2012 and 2013, with 13 publications each.
  • The least productive years with any output are 1992, 2000 and 2009, with 1 publication each.
  • 3 of the 33 years in the span carry no publications at all (1993, 1999 and 2022).
  • The rate of publication averages 4.4 papers per year over the whole span, or 4.9 per year counting only the 30 years with at least one publication.
  • The last 5 years on the chart (2020-2024) hold 16 publications, 11% of the career total.
  • Split into equal eras - 1992-2002: 29 publications (2.6 per year); 2003-2013: 61 publications (5.5 per year); 2014-2024: 56 publications (5.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Tae-Eog Lee publication distribution in Computer Science in 2026

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

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 132–141 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555 134
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Tae-Eog Lee publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Tae-Eog Lee, a Computer Science scholar from Korea Advanced Institute of Science and Technology, records 134 publications - the 20th percentile of the discipline.
  • 20% of ranked Computer Science scientists score the same or lower than Tae-Eog Lee, and about 80% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Tae-Eog Lee ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Tae-Eog Lee D-index placement in Computer Science in 2026

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

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 32–33 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983 32
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Tae-Eog Lee D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Tae-Eog Lee, a Computer Science scholar from Korea Advanced Institute of Science and Technology, records 32 D-Index - the 10th percentile of the discipline.
  • 10% of ranked Computer Science scientists score the same or lower than Tae-Eog Lee, and about 90% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Tae-Eog Lee ranks below the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

Tae-Eog Lee is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily focuses on engineering, with a significant emphasis on industrial and manufacturing engineering. Other subfields of their work include computational theory and mathematics, control and systems engineering, hardware and architecture, and management information systems.

Their work covers a range of topics within the manufacturing and systems engineering domains. Notable research themes include scheduling and optimization algorithms, flexible and reconfigurable manufacturing systems, manufacturing process and optimization, Petri nets in system modeling, advanced manufacturing and logistics optimization, real-time systems scheduling, and business process modeling and analysis.

Frequent coauthors collaborating with Tae-Eog Lee include

  • Tae-Sun Yu
  • Tae-Gyung Lee
  • Chulhan Kim
  • Hyun-Jung Kim
  • Sung-Gil Ko

Publications by Tae-Eog Lee have appeared largely in IEEE Transactions on Automation Science and Engineering, with additional contributions to IEEE Transactions on Semiconductor Manufacturing, IEEE Transactions on Systems Man and Cybernetics Systems, The Journal of Defense Modeling and Simulation Applications Methodology Technology, and Computers & Industrial Engineering.

Recent papers authored or coauthored by Tae-Eog Lee include:

  • Wafer Delay Analysis and Workload Balancing of Parallel Chambers for Dual-Armed Cluster Tools With Multiple Wafer Types, 2021, IEEE Transactions on Automation Science and Engineering
  • Cleaning Plan Optimization for Dual-Armed Cluster Tools With General Chamber Cleaning Periods, 2022, IEEE Transactions on Automation Science and Engineering
  • Integrated Scheduling of a Dual-Armed Cluster Tool for Maximizing Steady Schedule Patterns, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • Feedback Control of Cluster Tools: Stability Against Random Time Disruptions, 2021, IEEE Transactions on Automation Science and Engineering
  • Reachability Tree-Based Optimization Algorithm for Cyclic Scheduling of Timed Petri Nets, 2020, IEEE Transactions on Automation Science and Engineering

Best Publications

  • Scheduling analysis of time-constrained dual-armed cluster tools

    Ja-Hee Kim;Tae-Eog Lee;Hwan-Yong Lee;Doo-Byeong Park

  • A three-level supply chain network design model with risk-pooling and lead times

    Sukun Park;Tae-Eog Lee;Chang Sup Sung

  • Scheduling single-armed cluster tools with reentrant wafer flows

    Hwan-Yong Lee;Tae-Eog Lee

  • An extended event graph with negative places and tokens for time window constraints

    Tae-Eog Lee;Seong-Ho Park

  • Schedulability Analysis of Time-Constrained Cluster Tools With Bounded Time Variation by an Extended Petri Net

    Ja-Hee Kim;Tae-Eog Lee

  • A review of scheduling theory and methods for semiconductor manufacturing cluster tools

    Tae-Eog Lee

  • An Efficient Mixed Integer Programming Model Based on Timed Petri Nets for Diverse Complex Cluster Tool Scheduling Problems

    Chihyun Jung;Tae-Eog Lee

  • Modelling and analysis of semiconductor manufacturing in a shrinking world: challenges and successes

    Chen-Fu Chien;Stéphane Dauzère-Pérès;Hans Ehm;John W. Fowler

  • Modeling and implementing a real-time scheduler for dual-armed cluster tools

    Yong-Ho Shin;Tae-Eog Lee;Ja-Hee Kim;Hwan-Yong Lee

  • Performance Measures and Schedules in Periodic Job Shops

    Tae-Eog Lee;Marc E. Posner

  • Noncyclic Scheduling of Cluster Tools With a Branch and Bound Algorithm

    Hyun-Jung Kim;Jun-Ho Lee;Tae-Eog Lee

  • Scheduling Cluster Tools With Ready Time Constraints for Consecutive Small Lots

    Hyun-Jung Kim;Jun-Ho Lee;Chihyun Jung;Tae-Eog Lee

  • Petri net modeling and scheduling for cyclic job shops with blocking

    Ju-Seog Song;Tae-Eog Lee

  • Scheduling start-up and close-down periods of dual-armed cluster tools with wafer delay regulation

    Tae-Kyu Kim;Chihyun Jung;Tae-Eog Lee

  • Component allocation and feeder arrangement for a dual-gantry multi-head surface mounting placement tool ☆

    Dong-Seok Sun;Tae-Eog Lee;Kyung-Hoon Kim

  • Noncyclic Scheduling for Timed Discrete-Event Systems With Application to Single-Armed Cluster Tools Using Pareto-Optimal Optimization

    U. Wikborg;Tae-Eog Lee

  • Scheduling Lot Switching Operations for Cluster Tools

    Jun-Ho Lee;Hyun-Jung Kim;Tae-Eog Lee

  • A Branch and Bound Algorithm for Cyclic Scheduling of Timed Petri Nets

    Chihyun Jung;Hyun-Jung Kim;Tae-Eog Lee

  • Scheduling Cluster Tools for Concurrent Processing of Two Wafer Types

    Jun-Ho Lee;Hyun-Jung Kim;Tae-Eog Lee

  • Scheduling a wet station for wafer cleaning with multiple job flows and multiple wafer-handling robots

    Tae-Eog Lee;Hwan-Yong Lee;Sang-Jin Lee

  • Stable earliest starting schedules for periodic job shops: A linear system approach

    Tae-Eog Lee

  • The complexity of cyclic shop scheduling problems

    Nicholas G. Hall;Tae-Eog Lee;Marc E. Posner

Frequent Co-Authors

Chen-Fu Chien
Chen-Fu Chien National Tsing Hua University
Nicholas G. Hall
Nicholas G. Hall The Ohio State University
John W. Fowler
John W. Fowler Arizona State University
Lars Mönch
Lars Mönch University of Hagen
Stéphane Dauzère-Pérès
Stéphane Dauzère-Pérès École des Mines de Saint-Étienne
Reha Uzsoy
Reha Uzsoy North Carolina State University
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology

External Links

Personal website of Tae-Eog Lee

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Publications: 13

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