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Dan Wang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 60 1615 1545 266 264 339 15097

Dan Wang publications per year

The chart shows the history of publications by Dan Wang between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dan Wang published across 27 years, from 1999 to 2025, averaging 18.6 papers a year. Output peaked at 68 publications in 2024. 115 of the 502 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 68. Peak 68 publications in 2024. 1999: 1 publication 2000: 1 publication 2001: 4 publications 2002: 2 publications 2003: 0 publications 2004: 1 publication 2005: 1 publication 2006: 2 publications 2007: 2 publications 2008: 5 publications 2009: 9 publications 2010: 12 publications 2011: 10 publications 2012: 12 publications 2013: 18 publications 2014: 28 publications 2015: 15 publications 2016: 21 publications 2017: 23 publications 2018: 16 publications 2019: 27 publications 2020: 22 publications 2021: 37 publications 2022: 56 publications 2023: 62 publications 2024: 68 publications 2025: 47 publications
1999 2025

502 publications in total across all disciplines

View publications per year as a table
Dan Wang: publications per year, 1999 to 2025
Year Publications
1999 1
2000 1
2001 4
2002 2
2003 0
2004 1
2005 1
2006 2
2007 2
2008 5
2009 9
2010 12
2011 10
2012 12
2013 18
2014 28
2015 15
2016 21
2017 23
2018 16
2019 27
2020 22
2021 37
2022 56
2023 62
2024 68
2025 47
Total 502
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Dan Wang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Dan Wang sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 334–353 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 339 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250 339
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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Dan Wang D-index placement in Electronics and Electrical Engineering in 2026

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

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 60 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 60 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103 60
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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Overview

Dan Wang is affiliated with Dalian Maritime University in China, focusing on Engineering with a particular emphasis on Mechanics of Materials, Mechanical Engineering, Analytical Chemistry, and Archeology. Their multidisciplinary work integrates these fields, especially through the application of laser-induced spectroscopy and plasma technologies.

The scientific contributions of Dan Wang include research centered on laser-induced spectroscopy and plasma, which is reflected in four publications covering this topic. Additional areas of interest include Mineral Processing and Grinding, Analytical Chemistry Methods Development, and Cultural Heritage Materials Analysis.

Two recent papers authored by Dan Wang illustrate their research focus: "Accurate method based on data filtering for quantitative multi-element analysis of soils using CF-LIBS" published in 2024 in Plasma Science and Technology, and "Research on batch multielement rapid quantitative analysis based on the standard curve-assisted calibration-free laser-induced breakdown spectroscopy method", also published in 2024 in the same journal.

Collaborative work has been a significant aspect of their research career. Frequent co-authors include:

  • Weiwei HAN
  • Daowei Sun
  • Guoding ZHANG
  • Denghong Zhang
  • C. Z. Dong

Dan Wang's research outputs are primarily published in the journal Plasma Science and Technology, with two publications in this venue. Their research integrates quantitative multi-element analysis techniques, using methods such as calibration-free laser-induced breakdown spectroscopy (CF-LIBS), aimed at advancing analytical chemistry approaches.

Overall, Dan Wang's work encompasses methodological development in analytical chemistry with practical applications in soil analysis and batch multielement quantification. Their interdisciplinary approach bridges engineering principles with spectroscopic techniques to explore both material properties and cultural heritage substances.

Best Publications

  • Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form

    D. Wang;Jie Huang

  • DSC Approach to Robust Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems

    Tie-Shan Li;Dan Wang;Gang Feng;Shao-Cheng Tong

  • An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles

    Zhouhua Peng;Jun Wang;Dan Wang;Qing-Long Han

  • Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics

    Zhouhua Peng;Dan Wang;Zhiyong Chen;Xiaojing Hu

  • Brief Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form

    Dan Wang;Jie Huang

  • Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance

    Zhouhua Peng;Dan Wang;Tieshan Li;Min Han

  • Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation

    Zhouhua Peng;Jun Wang;Dan Wang

  • ESO-Based Line-of-Sight Guidance Law for Path Following of Underactuated Marine Surface Vehicles With Exact Sideslip Compensation

    Lu Liu;Dan Wang;Zhouhua Peng

  • Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback

    Zhouhua Peng;Jun Wang;Dan Wang

  • Distributed neural network control for adaptive synchronization of uncertain dynamical multiagent systems.

    Zhouhua Peng;Dan Wang;Hongwei Zhang;Gang Sun

  • Prescribed Performance Consensus of Uncertain Nonlinear Strict-Feedback Systems With Unknown Control Directions

    Wei Wang;Dan Wang;Zhouhua Peng;Tieshan Li

  • Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions

    Tieshan Li;Zifu Li;Dan Wang;C. L. Philip Chen

  • Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems

    Yan-Jun Liu;Shao-Cheng Tong;Dan Wang;Tie-Shan Li

  • Predictor-Based Neural Dynamic Surface Control for Uncertain Nonlinear Systems in Strict-Feedback Form

    Zhouhua Peng;Dan Wang;Jun Wang

  • Containment Maneuvering of Marine Surface Vehicles With Multiple Parameterized Paths via Spatial-Temporal Decoupling

    Zhouhua Peng;Jun Wang;Dan Wang

  • Containment control of networked autonomous underwater vehicles with model uncertainty and ocean disturbances guided by multiple leaders

    Zhouhua Peng;Dan Wang;Yang Shi;Hao Wang

  • Neural network-based adaptive dynamic surface control of uncertain nonlinear pure-feedback systems

    Dan Wang

  • Observer-Based Finite-Time Control for Distributed Path Maneuvering of Underactuated Unmanned Surface Vehicles With Collision Avoidance and Connectivity Preservation

    Nan Gu;Dan Wang;Zhouhua Peng;Lu Liu

  • Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics

    Lu Liu;Dan Wang;Zhouhua Peng;C. L. Philip Chen

  • Disturbance observers and extended state observers for marine vehicles: A survey

    Unknown

  • Robust adaptive formation control of underactuated autonomous surface vehicles with uncertain dynamics

    Z. Peng;D. Wang;X. Hu

  • Adaptive unknown input observer approach for aircraft actuator fault detection and isolation

    Dan Wang;Kai-Yew Lum

Frequent Co-Authors

Zhouhua Peng
Zhouhua Peng Dalian Maritime University
Tieshan Li
Tieshan Li University of Electronic Science and Technology of China
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Ning Wang
Ning Wang Dalian Maritime University
Shaocheng Tong
Shaocheng Tong Liaoning University of Technology
Zhiyong Chen
Zhiyong Chen University of Newcastle Australia
Gang Feng
Gang Feng City University of Hong Kong
Yang Shi
Yang Shi University of Victoria
Jie Huang
Jie Huang Chinese University of Hong Kong
Min Han
Min Han Dalian University of Technology

External Links

Personal website of Dan Wang Google Scholar page

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Related Online Degrees & Career Pathways

For those interested in studying Electronics and Electrical Engineering, exploring online colleges with flexible start dates can provide greater scheduling freedom. This flexibility is ideal for students balancing work, family, or other commitments while pursuing their degree.

In addition to degree programs, there are numerous short certificate programs that pay well online. These accelerated options can help individuals quickly gain specialized skills in areas like electronics troubleshooting or circuit design, enhancing employability in competitive markets.

Many careers in Electronics and Electrical Engineering suit a variety of personality types, including those who are more reserved. Considering introvert jobs that pay well can guide students toward roles like systems analysis or design engineering, where independent work and deep focus are valued.

Lastly, pairing technical expertise with leadership through programs such as an accelerated project management degree can open doors to management roles within engineering projects. This blend of skills supports career advancement in dynamic technological environments.

Best Scientists Citing Dan Wang

Shaocheng Tong

Shaocheng Tong

Liaoning University of Technology

Publications: 95

Tieshan Li

Tieshan Li

University of Electronic Science and Technology of China

Publications: 65

C. L. Philip Chen

C. L. Philip Chen

South China University of Technology

Publications: 63

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 45

Chong Lin

Chong Lin

Qingdao University

Publications: 41

Guang-Hong Yang

Guang-Hong Yang

Northeastern University

Publications: 41

Huanqing Wang

Huanqing Wang

Bohai University

Publications: 40

Bing Chen

Bing Chen

Qingdao University

Publications: 32

Weisheng Chen

Weisheng Chen

Xidian University

Publications: 29

Xiaoping Liu

Xiaoping Liu

Lakehead University

Publications: 27

Jinpeng Yu

Jinpeng Yu

Qingdao University

Publications: 27

Peng Shi

Peng Shi

University of Adelaide

Publications: 27

Yun Zhang

Yun Zhang

Guangdong University of Technology

Publications: 23

Zhi Liu

Zhi Liu

Guangdong University of Technology

Publications: 20

Qi Zhou

Qi Zhou

Guangdong University of Technology

Publications: 18

Shengyuan Xu

Shengyuan Xu

Nanjing University of Science and Technology

Publications: 18

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