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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 60 1654 1583 274 272 224 12688

Ding Wang publications per year

The chart shows the history of publications by Ding Wang between 2011 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ding Wang published across 15 years, from 2011 to 2025, averaging 30 papers a year. Output peaked at 65 publications in 2025. 122 of the 450 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2011 to 2025. Vertical axis: number of publications, 0 to 65. Peak 65 publications in 2025. 2011: 8 publications 2012: 9 publications 2013: 22 publications 2014: 17 publications 2015: 15 publications 2016: 22 publications 2017: 39 publications 2018: 24 publications 2019: 16 publications 2020: 21 publications 2021: 25 publications 2022: 46 publications 2023: 64 publications 2024: 57 publications 2025: 65 publications
2011 2025

450 publications in total across all disciplines

View publications per year as a table
Ding Wang: publications per year, 2011 to 2025
Year Publications
2011 8
2012 9
2013 22
2014 17
2015 15
2016 22
2017 39
2018 24
2019 16
2020 21
2021 25
2022 46
2023 64
2024 57
2025 65
Total 450
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Ding 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 Ding 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, 214–233 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: 224 publications — 37th percentile

37% 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
214–233 431 224
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
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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Ding 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 Ding 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

Ding Wang is affiliated with Beijing University of Technology in China and has a significant record of research contributions primarily in the field of Computer Science. Their work spans various subfields including Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing, and Computer Vision and Pattern Recognition.

Their research focuses on topics such as User Authentication and Security Systems, Advanced Authentication Protocols Security, Cryptography and Data Security, Advanced Malware Detection Techniques, Biometric Identification and Security, Opportunistic and Delay-Tolerant Networks, and Mobile Ad Hoc Networks.

Recent notable papers authored by Ding Wang include:

  • Practical and Provably Secure Three-Factor Authentication Protocol Based on Extended Chaotic-Maps for Mobile Lightweight Devices, 2020, IEEE Transactions on Dependable and Secure Computing
  • Quantum2FA: Efficient Quantum-Resistant Two-Factor Authentication Scheme for Mobile Devices, 2021, IEEE Transactions on Dependable and Secure Computing
  • Understanding Node Capture Attacks in User Authentication Schemes for Wireless Sensor Networks, 2020, IEEE Transactions on Dependable and Secure Computing
  • Secure and Lightweight User Authentication Scheme for Cloud-Assisted Internet of Things, 2023, IEEE Transactions on Information Forensics and Security
  • Efficient privacy-preserving user authentication scheme with forward secrecy for industry 4.0, 2021, Science China Information Sciences

Ding Wang frequently collaborates with several co-authors, including Debiao He, Mao Yang, Zhongjiang Yan, Mark Díaz, and Qingxuan Wang. This collaboration pattern reflects continuity and shared focus in their research themes.

Their publications commonly appear in venues such as:

  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Information Forensics and Security
  • arXiv (Cornell University)
  • Journal of Physics Conference Series
  • IEEE Internet of Things Journal

Ding Wang has contributed to book publications with multiple titles released through Springer Science+Business Media and the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. These include:

  • Frontiers in Cyber Security (2022)
  • Information Security Practice and Experience (2021)
  • Information and Communications Security (2023)
  • Security and Privacy in New Computing Environments (2021 and 2023 editions)

Best Publications

  • Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints

    Derong Liu;Xiong Yang;Ding Wang;Qinglai Wei

  • Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming

    Ding Wang;Derong Liu;Qinglai Wei;Dongbin Zhao

  • Adaptive Critic Nonlinear Robust Control: A Survey

    Ding Wang;Haibo He;Derong Liu

  • Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach

    Derong Liu;Ding Wang;Hongliang Li

  • Adaptive Dynamic Programming for Control: Algorithms and Stability

    Huaguang Zhang;Derong Liu;Yanhong Luo;Ding Wang

  • Model-Free Optimal Tracking Control via Critic-Only Q-Learning

    Biao Luo;Derong Liu;Tingwen Huang;Ding Wang

  • Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems

    Derong Liu;Ding Wang;Fei-Yue Wang;Hongliang Li

  • Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming

    Derong Liu;Ding Wang;Dongbin Zhao;Qinglai Wei

  • Online Synchronous Approximate Optimal Learning Algorithm for Multi-Player Non-Zero-Sum Games With Unknown Dynamics

    Derong Liu;Hongliang Li;Ding Wang

  • Policy Iteration Algorithm for Online Design of Robust Control for a Class of Continuous-Time Nonlinear Systems

    Ding Wang;Derong Liu;Hongliang Li

  • Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach

    Ding Wang;Derong Liu;Qinglai Wei

  • Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics

    Hongliang Li;Derong Liu;Ding Wang

  • Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method

    Ben Niu;Ding Wang;Naif D. Alotaibi;Fuad E. Alsaadi

  • Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics

    Ding Wang;Derong Liu;Qichao Zhang;Dongbin Zhao

  • Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics

    Dongbin Zhao;Qichao Zhang;Ding Wang;Yuanheng Zhu

  • Reinforcement learning for adaptive optimal control of unknown continuous-time nonlinear systems with input constraints

    Xiong Yang;Derong Liu;Ding Wang

  • Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant

    Ding Wang;Mingming Ha;Junfei Qiao

  • Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control

    Biao Luo;Derong Liu;Huai-Ning Wu;Ding Wang

  • Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation

    Ding Wang;Mingming Ha;Junfei Qiao

  • Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming

    Qichao Zhang;Dongbin Zhao;Ding Wang

  • Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm

    Derong Liu;Hongliang Li;Ding Wang

  • Adaptive Neural Output-Feedback Control for a Class of Nonlower Triangular Nonlinear Systems With Unmodeled Dynamics

    Huanqing Wang;Peter Xiaoping Liu;Shuai Li;Ding Wang

Frequent Co-Authors

Derong Liu
Derong Liu University of Illinois at Chicago
Xiong Yang
Xiong Yang Tianjin University
Qinglai Wei
Qinglai Wei Macau University of Science and Technology
Haibo He
Haibo He University of Rhode Island
Dongbin Zhao
Dongbin Zhao Chinese Academy of Sciences
Changyin Sun
Changyin Sun Southeast University
Yun Zhang
Yun Zhang Guangdong University of Technology
Long Cheng
Long Cheng Chinese Academy of Sciences
Fuad E. Alsaadi
Fuad E. Alsaadi King Abdulaziz University
Huanqing Wang
Huanqing Wang Bohai University

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