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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 55 3019 2889 608 607 237 10668

Jie Liu publications per year

The chart shows the history of publications by Jie Liu between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jie Liu published across 34 years, from 1992 to 2025, averaging 10.4 papers a year. Output peaked at 32 publications in 2024. 64 of the 353 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2024. 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 4 publications 2006: 4 publications 2007: 1 publication 2008: 5 publications 2009: 1 publication 2010: 4 publications 2011: 8 publications 2012: 11 publications 2013: 7 publications 2014: 21 publications 2015: 17 publications 2016: 28 publications 2017: 24 publications 2018: 27 publications 2019: 25 publications 2020: 24 publications 2021: 21 publications 2022: 29 publications 2023: 26 publications 2024: 32 publications 2025: 32 publications
1992 2025

353 publications in total across all disciplines

View publications per year as a table
Jie Liu: publications per year, 1992 to 2025
Year Publications
1992 1
1993 0
1994 0
1995 0
1996 0
1997 1
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 4
2006 4
2007 1
2008 5
2009 1
2010 4
2011 8
2012 11
2013 7
2014 21
2015 17
2016 28
2017 24
2018 27
2019 25
2020 24
2021 21
2022 29
2023 26
2024 32
2025 32
Total 353
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Jie 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 Jie 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, 228–237 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: 237 publications — 61st percentile

61% 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
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321 237
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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Jie 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 Jie 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, 55 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: 55 D-Index — 70th percentile

70% 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 55
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
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
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Overview

Jie Liu is affiliated with Hunan University in China and specializes in the field of engineering, with extensive research contributions across multiple subfields including civil and structural engineering, mechanical engineering, biomedical engineering, mechanics of materials, and computational theory and mathematics.

The scientist's research focuses on a range of topics related to the optimization and analysis of materials and structures. Key research themes include topology optimization in engineering, advanced materials and mechanics, acoustic wave phenomena research, cellular and composite structures, advanced multi-objective optimization algorithms, composite structure analysis and optimization, and geotechnical engineering and soil stabilization.

Jie Liu's publication record shows a diverse engagement with several notable academic venues. Frequent publication outlets include:

  • SSRN Electronic Journal
  • Journal of Physics Conference Series
  • Composite Structures
  • International Journal of Mechanical Sciences
  • arXiv (Cornell University)

Recent papers authored by Jie Liu cover topics in materials science, structural mechanics, and acoustics. Selected recent works include:

  • "Review on lattice structures for energy absorption properties" (2022), published in Composite Structures
  • "Experimental and Theoretical Study of High-Energy Dissipation-Viscoelastic Dampers Based on Acrylate-Rubber Matrix" (2020), Journal of Engineering Mechanics
  • "Revealing the sound insulation capacities of TPMS sandwich panels" (2022), Journal of Sound and Vibration
  • "Origami-based acoustic metamaterial for tunable and broadband sound attenuation" (2022), International Journal of Mechanical Sciences
  • "3D printing of continuous carbon fibre reinforced polymer composites with optimised structural topology and fibre orientation" (2023), Composite Structures

Jie Liu has collaborated frequently with a core group of coauthors. Notable frequent collaborators include:

  • Yi Min Xie
  • Guilin Wen
  • Junfeng He
  • Hongxin Wang

The scope and variety of Jie Liu's work demonstrate a multidisciplinary approach addressing engineering challenges through computational modeling, experimental studies, and advanced material design.

Best Publications

  • An overview of metal oxide materials as electrocatalysts and supports for polymer electrolyte fuel cells

    Zhonghua Zhang;Jie Liu;Junjie Gu;Liang Su

  • Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique

    C. Jiang;X. Han;G.Y. Lu;J. Liu

  • A review of thermal performance improving methods of lithium ion battery: Electrode modification and thermal management system

    Rui Zhao;Sijie Zhang;Jie Liu;Junjie Gu

  • An experimental study of heat pipe thermal management system with wet cooling method for lithium ion batteries

    Rui Zhao;Junjie Gu;Jie Liu

  • Simulation and experimental study on lithium ion battery short circuit

    Rui Zhao;Jie Liu;Junjie Gu

  • The effects of electrode thickness on the electrochemical and thermal characteristics of lithium ion battery

    Rui Zhao;Jie Liu;Junjie Gu

  • Time-Variant Reliability Analysis through Response Surface Method

    Dequan Zhang;Dequan Zhang;Xu Han;Chao Jiang;Jie Liu

  • An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries

    Jie Liu;Abhinav Saxena;Kai Goebel;Bhaskar Saha

  • The damped dynamic vibration absorbers: revisited and new result

    Kefu Liu;Jie Liu

  • Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm

    Datong Liu;Yue Luo;Jie Liu;Yu Peng

  • A data-model-fusion prognostic framework for dynamic system state forecasting

    J. Liu;W. Wang;Y. B. Yang

  • Dynamic load identification for stochastic structures based on Gegenbauer polynomial approximation and regularization method

    Jie Liu;Xingsheng Sun;Xu Han;Chao Jiang

  • Performance-Based Gas Turbine Health Monitoring, Diagnostics, and Prognostics: A Survey

    Houman Hanachi;Christopher Mechefske;Jie Liu;Avisekh Banerjee

  • A novel evidence-theory-based reliability analysis method for structures with epistemic uncertainty

    C. Jiang;Z. Zhang;X. Han;J. Liu

  • Optimization of a phase change material based internal cooling system for cylindrical Li-ion battery pack and a hybrid cooling design

    Rui Zhao;Rui Zhao;Junjie Gu;Jie Liu;Jie Liu

  • Multidimensional parallelepiped model—a new type of non-probabilistic convex model for structural uncertainty analysis

    C. Jiang;Q. F. Zhang;X. Han;J. Liu

  • Hybrid data-driven physics-based model fusion framework for tool wear prediction

    Houman Hanachi;Wennian Yu;Il Yong Kim;Jie Liu;Jie Liu

  • An efficient method to reduce ill-posedness for structural dynamic load identification

    Jie Liu;Xianghua Meng;Dequan Zhang;Chao Jiang

  • A Hybrid Reliability Approach Based on Probability and Interval for Uncertain Structures

    C. Jiang;X. Han;W. X. Li;J. Liu

  • Preparation and characterization of graphene oxide/silk fibroin hybrid aerogel for dye and heavy metal adsorption

    Shu Wang;Huiming Ning;Ning Hu;Kaiyan Huang

  • A multi-step predictor with a variable input pattern for system state forecasting

    Jie Liu;Wilson Wang;Farid Golnaraghi

Frequent Co-Authors

Xu Han
Xu Han Hebei University of Technology
Kefu Liu
Kefu Liu Lakehead University
Chris K. Mechefske
Chris K. Mechefske Queen's University
Ning Hu
Ning Hu Hebei University of Technology
Gui-Rong Liu
Gui-Rong Liu University of Cincinnati
Shao-Yun Fu
Shao-Yun Fu Chongqing University
Ming Liang
Ming Liang University of Ottawa
Marc St-Hilaire
Marc St-Hilaire Carleton University
Cheng Yan
Cheng Yan Queensland University of Technology
Dejie Yu
Dejie Yu Hunan University

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