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Baoding Liu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 72 897 848 158 157 170 24862

Baoding Liu publications per year

The chart shows the history of publications by Baoding Liu between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Baoding Liu published across 31 years, from 1995 to 2025, averaging 7.4 papers a year. Output peaked at 18 publications in 2002. 33 of the 230 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 18. Peak 18 publications in 2002. 1995: 2 publications 1996: 4 publications 1997: 5 publications 1998: 6 publications 1999: 16 publications 2000: 4 publications 2001: 8 publications 2002: 18 publications 2003: 10 publications 2004: 17 publications 2005: 10 publications 2006: 7 publications 2007: 8 publications 2008: 6 publications 2009: 9 publications 2010: 5 publications 2011: 2 publications 2012: 5 publications 2013: 5 publications 2014: 1 publication 2015: 8 publications 2016: 1 publication 2017: 0 publications 2018: 5 publications 2019: 3 publications 2020: 3 publications 2021: 3 publications 2022: 14 publications 2023: 12 publications 2024: 17 publications 2025: 16 publications
1995 2025

230 publications in total across all disciplines

View publications per year as a table
Baoding Liu: publications per year, 1995 to 2025
Year Publications
1995 2
1996 4
1997 5
1998 6
1999 16
2000 4
2001 8
2002 18
2003 10
2004 17
2005 10
2006 7
2007 8
2008 6
2009 9
2010 5
2011 2
2012 5
2013 5
2014 1
2015 8
2016 1
2017 0
2018 5
2019 3
2020 3
2021 3
2022 14
2023 12
2024 17
2025 16
Total 230
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Baoding Liu publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Baoding Liu sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 168–177 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 170 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407 170
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Baoding Liu D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Baoding Liu sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 72 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 72 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54 72
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

Baoding Liu is affiliated with Tsinghua University in China. Their research spans multiple areas within engineering and business management, with significant contributions in control and systems engineering as well as management science and operations research.

The primary fields of study for Baoding Liu include:

  • Engineering
  • Business, Management and Accounting

Their work delves into several subfields, notably:

  • Control and Systems Engineering
  • Management Science and Operations Research
  • Statistics and Probability
  • Organizational Behavior and Human Resource Management
  • Strategy and Management

Main topics addressed in Liu's research feature:

  • Optimization and Mathematical Programming
  • Multi-Criteria Decision Making
  • Fuzzy Systems and Optimization
  • Facility Location and Emergency Management
  • Sustainable Supply Chain Management
  • Supply Chain and Inventory Management
  • Risk and Portfolio Optimization

Liu's frequent collaborators include Guoqing Yang, Xuejie Bai, Yang Liu, Huili Pei, and Hongliang Li.

Their publications often appear in journals such as:

  • Fuzzy Optimization and Decision Making
  • Computers & Industrial Engineering
  • Communication in Statistics- Theory and Methods
  • International Journal of General Systems
  • Soft Computing

Recent significant papers by Baoding Liu encompass:

  • "Residual analysis and parameter estimation of uncertain differential equations," 2022, Fuzzy Optimization and Decision Making
  • "Uncertain hypothesis test with application to uncertain regression analysis," 2021, Fuzzy Optimization and Decision Making
  • "Uncertain maximum likelihood estimation with application to uncertain regression analysis," 2020, Soft Computing
  • "Uncertain hypothesis test for uncertain differential equations," 2022, Fuzzy Optimization and Decision Making
  • "Initial value estimation of uncertain differential equations and zero-day of COVID-19 spread in China," 2020, Fuzzy Optimization and Decision Making

Best Publications

  • Uncertainty Theory

    Baoding Liu

  • Expected value of fuzzy variable and fuzzy expected value models

    Baoding Liu;Yian-Kui Liu

  • Some Research Problems in Uncertainty Theory

    Baoding Liu

  • Chance constrained programming with fuzzy parameters

    Baoding Liu;Kakuzo Iwamura

  • Uncertainty Theory: An Introduction to its Axiomatic Foundations

    Baoding Liu

  • Fuzzy Process, Hybrid Process and Uncertain Process

    Baoding Liu

  • A survey of credibility theory

    Baoding Liu

  • Existence and uniqueness theorem for uncertain differential equations

    X. Chen;B. Liu

  • Why is There a Need for Uncertainty Theory

    Baoding Liu

  • Fuzzy Random Variables: A Scalar Expected Value Operator

    Yian-Kui Liu;Baoding Liu

  • Expected value operator of random fuzzy variable and random fuzzy expected value models

    Yian-Kui Liu;Baoding Liu

  • Uncertain Programming

    Baoding Liu

  • Theory and practice of uncertain programming

    Baoding Liu

  • Uncertain Risk Analysis and Uncertain Reliability Analysis

    Baoding Liu

  • A SUFFICIENT AND NECESSARY CONDITION FOR CREDIBILITY MEASURES

    Xiang Li;Baoding Liu

  • Fuzzy random chance-constrained programming

    Baoding Liu

  • A model for portfolio selection with order of expected returns

    Yusen Xia;Baoding Liu;Shouyang Wang;K. K. Lai

  • A note on chance constrained programming with fuzzy coefficients

    Baoding Liu;Kakuzo Iwamura

  • Stackelberg-Nash equilibrium for multilevel programming with multiple followers using genetic algorithms

    Baoding Liu

  • Fuzzy vehicle routing model with credibility measure and its hybrid intelligent algorithm

    Yongshuang Zheng;Baoding Liu

  • Toward Fuzzy Optimization without Mathematical Ambiguity

    Baoding Liu

  • Uncertain Set Theory and Uncertain Inference Rule with Application to Uncertain Control

    Baoding Liu

Frequent Co-Authors

Mitsuo Gen
Mitsuo Gen Tokyo University of Science
Kin Keung Lai
Kin Keung Lai Shaanxi Normal University
Chen-Fu Chien
Chen-Fu Chien National Tsing Hua University
Shouyang Wang
Shouyang Wang Chinese Academy of Sciences
Kap Hwan Kim
Kap Hwan Kim Pusan National University

External Links

Google Scholar page

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