World's Best Scientists 2026 revealed!
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Shaocheng Tong
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Engineering and Technology
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 132 28 27 3 3 504 52548

Shaocheng Tong publications per year

The chart shows the history of publications by Shaocheng Tong between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Shaocheng Tong published across 32 years, from 1994 to 2025, averaging 14.2 papers a year. Output peaked at 62 publications in 2021. 14 of the 454 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 62. Peak 62 publications in 2021. 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 4 publications 1998: 1 publication 1999: 4 publications 2000: 3 publications 2001: 0 publications 2002: 5 publications 2003: 4 publications 2004: 6 publications 2005: 1 publication 2006: 7 publications 2007: 12 publications 2008: 14 publications 2009: 13 publications 2010: 15 publications 2011: 20 publications 2012: 24 publications 2013: 22 publications 2014: 31 publications 2015: 29 publications 2016: 34 publications 2017: 31 publications 2018: 28 publications 2019: 31 publications 2020: 26 publications 2021: 62 publications 2022: 3 publications 2023: 9 publications 2024: 10 publications 2025: 4 publications
1994 2025

454 publications in total across all disciplines

View publications per year as a table
Shaocheng Tong: publications per year, 1994 to 2025
Year Publications
1994 1
1995 0
1996 0
1997 4
1998 1
1999 4
2000 3
2001 0
2002 5
2003 4
2004 6
2005 1
2006 7
2007 12
2008 14
2009 13
2010 15
2011 20
2012 24
2013 22
2014 31
2015 29
2016 34
2017 31
2018 28
2019 31
2020 26
2021 62
2022 3
2023 9
2024 10
2025 4
Total 454
Download as CSV

Shaocheng Tong 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 Shaocheng Tong 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, 498–507 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: 504 publications — 95th percentile

95% 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
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 38 504
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
Download as CSV

Shaocheng Tong 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 Shaocheng Tong 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, 107+ 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: 132 D-Index — 100th percentile

100% 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
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+ 99 132
Download as CSV

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in China Leader Award
  • 2025 - Research.com Engineering and Technology in China Leader Award
  • 2023 - Research.com Engineering and Technology in China Leader Award
  • 2022 - Research.com Engineering and Technology in China Leader Award

Overview

Shaocheng Tong is affiliated with Liaoning University of Technology in China. Their main research areas are within Engineering and Computer Science, focusing particularly on subfields such as Control and Systems Engineering, Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering, and Artificial Intelligence.

Their research predominantly addresses topics related to Adaptive Control of Nonlinear Systems, Adaptive Dynamic Programming Control, Distributed Control of Multi-Agent Systems, Neural Networks Stability and Synchronization, Stability and Control of Uncertain Systems, Advanced Control Systems Optimization, and Frequency Control in Power Systems.

Recent notable publications by Shaocheng Tong include:

  • "NN Reinforcement Learning Adaptive Control for a Class of Nonstrict-Feedback Discrete-Time Systems," 2020, IEEE Transactions on Cybernetics
  • "Observer-Based Fuzzy Adaptive Inverse Optimal Output Feedback Control for Uncertain Nonlinear Systems," 2020, IEEE Transactions on Fuzzy Systems
  • "Observer-Based Adaptive Optimized Control for Stochastic Nonlinear Systems With Input and State Constraints," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "A Novel Full Errors Fixed-Time Control for Constraint Nonlinear Systems," 2022, IEEE Transactions on Automatic Control
  • "Finite-Time Adaptive Fuzzy Prescribed Performance Control for High-Order Stochastic Nonlinear Systems," 2021, IEEE Transactions on Fuzzy Systems

Frequent coauthors collaborating with Shaocheng Tong include Yongming Li, Shuai Sui, C. L. Philip Chen, and Yan-Jun Liu. The repeated collaborations indicate strong partnerships in their research community.

The primary venues for publication are notable IEEE journals, reflecting a consistent contribution to fields linked to control systems and neural networks. Frequent publication venues include:

  • IEEE Transactions on Fuzzy Systems
  • Neurocomputing
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Artificial Intelligence

Best Publications

  • Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints

    Yan-Jun Liu;Shaocheng Tong

  • Barrier Lyapunov functions for Nussbaum gain adaptive control of full state constrained nonlinear systems

    Yan Jun Liu;Shaocheng Tong

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

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

  • Adaptive output-feedback control design with prescribed performance for switched nonlinear systems

    Yongming Li;Yongming Li;Shaocheng Tong;Lu Liu;Gang Feng

  • Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems

    Shaocheng Tong;Yue Li;Yongming Li;Yanjun Liu

  • Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints

    Yan Jun Liu;Shumin Lu;Shaocheng Tong;Xinkai Chen

  • Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints

    Yongming Li;Yanjun Liu;Shaocheng Tong

  • Observer-Based Adaptive Decentralized Fuzzy Fault-Tolerant Control of Nonlinear Large-Scale Systems With Actuator Failures

    Shaocheng Tong;Baoyu Huo;Yongming Li

  • Fuzzy Adaptive Output Feedback Control of MIMO Nonlinear Systems With Partial Tracking Errors Constrained

    Shaocheng Tong;Shuai Sui;Yongming Li

  • Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones

    Shaocheng Tong;Lili Zhang;Yongming Li

  • Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints

    Yan-Jun Liu;Jing Li;Shaocheng Tong;C. L. Philip Chen

  • Observer-Based Adaptive Fuzzy Decentralized Optimal Control Design for Strict-Feedback Nonlinear Large-Scale Systems

    Shaocheng Tong;Kangkang Sun;Shuai Sui

  • Observer-Based Adaptive Fuzzy Backstepping Dynamic Surface Control for a Class of MIMO Nonlinear Systems

    Shao-Cheng Tong;Yong-Ming Li;Gang Feng;Tie-Shan Li

  • Event-Based Finite-Time Control for Nonlinear Multiagent Systems With Asymptotic Tracking

    Unknown

  • Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions

    Shaocheng Tong;Xiao Min;Yuanxin Li

  • Fuzzy-Adaptive Decentralized Output-Feedback Control for Large-Scale Nonlinear Systems With Dynamical Uncertainties

    Shaocheng Tong;Changliang Liu;Yongming Li

  • Adaptive Fuzzy Tracking Control Design for SISO Uncertain Nonstrict Feedback Nonlinear Systems

    Shaocheng Tong;Yongming Li;Shuai Sui

  • Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems

    Lei Liu;Yan-Jun Liu;Shaocheng Tong

  • Observer-Based Adaptive Fuzzy Tracking Control of MIMO Stochastic Nonlinear Systems With Unknown Control Directions and Unknown Dead Zones

    Yongming Li;Shaocheng Tong;Tieshan Li

  • Adaptive Fuzzy Output Feedback Tracking Backstepping Control of Strict-Feedback Nonlinear Systems With Unknown Dead Zones

    Shaocheng Tong;Yongming Li

  • Composite Adaptive Fuzzy Output Feedback Control Design for Uncertain Nonlinear Strict-Feedback Systems With Input Saturation

    Yongming Li;Shaocheng Tong;Tieshan Li

  • Finite-Time Adaptive Fuzzy Output Feedback Dynamic Surface Control for MIMO Nonstrict Feedback Systems

    Yongming Li;Kewen Li;Shaocheng Tong

  • Observer-based fuzzy adaptive control for strict-feedback nonlinear systems

    Shaocheng Tong;Yongming Li

  • Fuzzy adaptive sliding-mode control for MIMO nonlinear systems

    Shaocheng Tong;Han-Xiong Li

Frequent Co-Authors

Yan-Jun Liu
Yan-Jun Liu Liaoning University of Technology
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
Bing Chen
Bing Chen Qingdao University
Xiaoping Liu
Xiaoping Liu Lakehead University
Han-Xiong Li
Han-Xiong Li City University of Hong Kong
Gang Feng
Gang Feng City University of Hong Kong
Dan Wang
Dan Wang Dalian Maritime University
Huaguang Zhang
Huaguang Zhang Northeastern University
Chong Lin
Chong Lin Qingdao University

External Links

Personal website of Shaocheng Tong

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Best Scientists Citing Shaocheng Tong

Guang-Hong Yang

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Publications: 128

C. L. Philip Chen

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Publications: 122

Peng Shi

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University of Adelaide

Publications: 105

Huanqing Wang

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Bohai University

Publications: 91

Chong Lin

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Publications: 89

Huaguang Zhang

Huaguang Zhang

Northeastern University

Publications: 89

Xiaoping Liu

Xiaoping Liu

Lakehead University

Publications: 86

Bing Chen

Bing Chen

Qingdao University

Publications: 79

Hongyi Li

Hongyi Li

Guangdong University of Technology

Publications: 76

Zhi Liu

Zhi Liu

Guangdong University of Technology

Publications: 72

Yun Zhang

Yun Zhang

Guangdong University of Technology

Publications: 71

Yan-Jun Liu

Yan-Jun Liu

Liaoning University of Technology

Publications: 65

Wei He

Wei He

University of Science and Technology Beijing

Publications: 63

Hak-Keung Lam

Hak-Keung Lam

King's College London

Publications: 58

Qi Zhou

Qi Zhou

Guangdong University of Technology

Publications: 57

Jinpeng Yu

Jinpeng Yu

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