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Mechanical and Aerospace Engineering
USA
2026
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Engineering and Technology
USA
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 88 127 115 66 56 567 33807

Wei Chen publications per year

The chart shows the history of publications by Wei Chen between 1964 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wei Chen published across 63 years, from 1964 to 2026, averaging 11.3 papers a year. Output peaked at 70 publications in 2023. 57 of the 712 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1964 to 2026. Vertical axis: number of publications, 0 to 70. Peak 70 publications in 2023. 1964: 1 publication 1965: 0 publications 1966: 0 publications 1967: 0 publications 1968: 0 publications 1969: 0 publications 1970: 0 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 8 publications 1995: 3 publications 1996: 12 publications 1997: 6 publications 1998: 2 publications 1999: 13 publications 2000: 15 publications 2001: 9 publications 2002: 9 publications 2003: 15 publications 2004: 15 publications 2005: 9 publications 2006: 24 publications 2007: 12 publications 2008: 15 publications 2009: 23 publications 2010: 13 publications 2011: 13 publications 2012: 14 publications 2013: 34 publications 2014: 17 publications 2015: 21 publications 2016: 27 publications 2017: 26 publications 2018: 30 publications 2019: 29 publications 2020: 36 publications 2021: 29 publications 2022: 51 publications 2023: 70 publications 2024: 53 publications 2025: 51 publications 2026: 6 publications
1964 2026

712 publications in total across all disciplines

View publications per year as a table
Wei Chen: publications per year, 1964 to 2026
Year Publications
1964 1
1965 0
1966 0
1967 0
1968 0
1969 0
1970 0
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 1
1994 8
1995 3
1996 12
1997 6
1998 2
1999 13
2000 15
2001 9
2002 9
2003 15
2004 15
2005 9
2006 24
2007 12
2008 15
2009 23
2010 13
2011 13
2012 14
2013 34
2014 17
2015 21
2016 27
2017 26
2018 30
2019 29
2020 36
2021 29
2022 51
2023 70
2024 53
2025 51
2026 6
Total 712
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Wei Chen publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Wei Chen sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 567–576 publications, is where this scientist sits. 47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47–56 publications 659+

This scientist: 567 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11 567
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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Wei Chen D-index placement in Mechanical and Aerospace Engineering in 2026

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

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 88 D-Index, is where this scientist sits. 30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 88 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6 88
89 7
90 10
91 4
92 4
93+ 100
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Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award

Overview

Wei Chen is affiliated with Northwestern University in the United States and has a research focus spanning engineering, energy, and materials science, with a significant body of work in electrical and electronic engineering, renewable energy, sustainability, and materials chemistry.

Their scholarly contributions address key topics in electrocatalysts for energy conversion, advanced battery technologies research, and fuel cells and related materials. Additional areas include advanced photocatalysis techniques, electrochemical analysis and applications, catalytic processes in materials science, and the study of conducting polymers and their applications.

Wei Chen has collaborated frequently with several co-authors, most notably Youjun Fan, Zhongying Fang, Jin-Han Guo, Muhammad Waqas, and Du-Hong Chen.

Their publication record includes contributions to various scientific journals, with a notable number of papers appearing in Electrochimica Acta, Journal of Colloid and Interface Science, International Journal of Hydrogen Energy, ACS Applied Materials & Interfaces, and Analytical Chemistry.

Among their recent papers are:

  • Platinum Modulates Redox Properties and 5-Hydroxymethylfurfural Adsorption Kinetics of Ni(OH)2 for Biomass Upgrading, 2021, Angewandte Chemie International Edition
  • Facet Engineering of Advanced Electrocatalysts Toward Hydrogen/Oxygen Evolution Reactions, 2023, Nano-Micro Letters
  • Sub-2 nm Ultrathin and Robust 2D FeNi Layered Double Hydroxide Nanosheets Packed with 1D FeNi-MOFs for Enhanced Oxygen Evolution Electrocatalysis, 2021, Advanced Functional Materials
  • Highly Stable Phosphonate-Based MOFs with Engineered Bandgaps for Efficient Photocatalytic Hydrogen Production, 2020, Advanced Materials
  • W-doping induced abundant active sites in a 3D NiS2/MoO2 heterostructure as an efficient electrocatalyst for urea oxidation and hydrogen evolution reaction, 2021, Chemical Engineering Journal

Best Publications

  • Comparative Studies of Metamodeling Techniques under Multiple Criteria

    Unknown

  • Comparative studies of metamodelling techniques under multiple modelling criteria

    R. Jin;W. Chen;Timothy William Simpson

  • The Roadmap to 6G: AI Empowered Wireless Networks

    Khaled B. Letaief;Wei Chen;Yuanming Shi;Jun Zhang

  • High-index faceted Ni3S2 nanosheet arrays as highly active and ultrastable electrocatalysts for water splitting.

    Liang Liang Feng;Guangtao Yu;Yuanyuan Wu;Guo Dong Li

  • Sub-nanometre sized metal clusters: from synthetic challenges to the unique property discoveries

    Yizhong Lu;Wei Chen

  • An efficient algorithm for constructing optimal design of computer experiments

    Ruichen Jin;Wei Chen;Agus Sudjianto

  • Hydroxychloroquine in patients with mainly mild to moderate coronavirus disease 2019: open label, randomised controlled trial.

    Wei Tang;Zhujun Cao;Mingfeng Han;Zhengyan Wang

  • Charting the complete elastic properties of inorganic crystalline compounds

    Maarten de Jong;Wei Chen;Thomas Angsten;Anubhav Jain

  • Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design

    Xiaoping Du;Wei Chen

  • Graphene wrapped Cu2O nanocubes: Non-enzymatic electrochemical sensors for the detection of glucose and hydrogen peroxide with enhanced stability

    Minmin Liu;Ru Liu;Wei Chen

  • Graphene-supported nanoelectrocatalysts for fuel cells: synthesis, properties, and applications.

    Minmin Liu;Ruizhong Zhang;Wei Chen

  • Porous graphitic carbon nitride synthesized via direct polymerization of urea for efficient sunlight-driven photocatalytic hydrogen production

    Yuewei Zhang;Jinghai Liu;Guan Wu;Wei Chen

  • Procedure for robust design: Minimizing variations caused by noise factors and control factors

    Unknown

  • A procedure for robust design: Minimizing variations caused by noise factors and control factors

    Wei Chen;J. K. Allen;Kwok Leung Tsui;F. Mistree

  • Nitrogen-doped carbon quantum dots: facile synthesis and application as a "turn-off" fluorescent probe for detection of Hg2+ ions.

    Ruizhong Zhang;Wei Chen

  • Coupling Mo2C with Nitrogen‐Rich Nanocarbon Leads to Efficient Hydrogen‐Evolution Electrocatalytic Sites

    Yipu Liu;Guangtao Yu;Guo Dong Li;Yuanhui Sun

  • A synthetic host-guest system achieves avidin-biotin affinity by overcoming enthalpy-entropy compensation.

    Mikhail V. Rekharsky;Tadashi Mori;Cheng Yang;Young Ho Ko

  • Sampling Strategies for Computer Experiments: Design and Analysis

    T. Simpson;L. Dennis;W. Chen

  • Oxygen Electroreduction Catalyzed by Gold Nanoclusters: Strong Core Size Effects

    Wei Chen;Shaowei Chen

  • A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality

    M. A. Bessa;M. A. Bessa;R. Bostanabad;Z. Liu;A. Hu

  • Deep learning predicts path-dependent plasticity.

    M Mozaffar;R Bostanabad;R Bostanabad;W Chen;K Ehmann

  • Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design

    Xiaoping Du;Wei Chen

  • On Sequential Sampling for Global Metamodeling in Engineering Design

    Ruichen Jin;Wei Chen;Agus Sudjianto

  • Quality utility : a Compromise Programming approach to robust design

    Wei Chen;Margaret M. Wiecek;Jinhuan Zhang

  • The use of metamodeling techniques for optimization under uncertainty

    Ruichen Jin;Xiaoping Du;Wei Chen

  • Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques

    Ramin Bostanabad;Yichi Zhang;Xiaolin Li;Tucker Kearney

  • A comparative study of uncertainty propagation methods for black-box-type problems

    Sang Hoon Lee;Wei Chen

  • Quantification of model uncertainty: Calibration, model discrepancy, and identifiability

    Paul D. Arendt;Daniel W. Apley;Wei Chen

  • An integrated framework for optimization under uncertainty using inverse Reliability strategy

    Xiaoping Du;Agus Sudjianto;Wei Chen

  • An Approach to Decision-Based Design With Discrete Choice Analysis for Demand Modeling

    Henk Jan Wassenaar;Wei Chen

  • Efficient Uncertainty Analysis Methods for Multidisciplinary Robust Design

    Xiaoping Du;Wei Chen

  • A database to enable discovery and design of piezoelectric materials

    Maarten de Jong;Wei Chen;Henry Geerlings;Mark Asta

  • A Variation-Based Method for Product Family Design

    Raviraj U. Nayak;Wei Chen;Timothy W. Simpson

  • Comparative studies of metamodeling techniques under multiple modeling criteria

    Ruichen Jin;Wei Chen;Timothy W. Simpson

  • A Highly Efficient Gradient Boosting Decision Tree

    Guolin Ke;Qi Meng;Taifeng Wang;Wei Chen

  • Charting the complete elastic properties of inorganic crystalline

    Wei Chen;Thomas Angsten;Anubhav Jain;Randy Notestine

Frequent Co-Authors

Kristin A. Persson
Kristin A. Persson Lawrence Berkeley National Laboratory
Hao Zhang
Hao Zhang Jiangnan University
Lili Hu
Lili Hu Chinese Academy of Sciences
Yuhan Sun
Yuhan Sun Chinese Academy of Sciences
Wing Kam Liu
Wing Kam Liu Northwestern University
Q. Jane Wang
Q. Jane Wang Northwestern University
L. Catherine Brinson
L. Catherine Brinson Duke University
Geoffroy Hautier
Geoffroy Hautier Dartmouth College
Ninghua Zhu
Ninghua Zhu Chinese Academy of Sciences
Yong Q. Chen
Yong Q. Chen Jiangnan University

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