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Changqing Shen

Changqing Shen

Soochow University
China

Award Badge
Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 33 926 922 297 297 106 4883
Engineering and Technology 35 8930 8604 1504 1497 104 5918

Changqing Shen publications per year

The chart shows the history of publications by Changqing Shen between 2012 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Changqing Shen published across 14 years, from 2012 to 2025, averaging 16.9 papers a year. Output peaked at 36 publications in 2022. 66 of the 237 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2012 to 2025. Vertical axis: number of publications, 0 to 36. Peak 36 publications in 2022. 2012: 1 publication 2013: 9 publications 2014: 6 publications 2015: 5 publications 2016: 7 publications 2017: 16 publications 2018: 9 publications 2019: 14 publications 2020: 15 publications 2021: 21 publications 2022: 36 publications 2023: 32 publications 2024: 36 publications 2025: 30 publications
2012 2025

237 publications in total across all disciplines

View publications per year as a table
Changqing Shen: publications per year, 2012 to 2025
Year Publications
2012 1
2013 9
2014 6
2015 5
2016 7
2017 16
2018 9
2019 14
2020 15
2021 21
2022 36
2023 32
2024 36
2025 30
Total 237
Download as CSV

Changqing Shen 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 Changqing Shen 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, 98–107 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: 104 publications — 9th percentile

9% 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
98–107 283 104
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
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

Changqing Shen 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 Changqing Shen 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, 35 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: 35 D-Index — 10th percentile

10% 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 35
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
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Changqing Shen is affiliated with Soochow University in China, focusing primarily on engineering with a significant emphasis on control and systems engineering, mechanical engineering, and artificial intelligence. Their research includes subfields such as mechanics of materials and civil and structural engineering.

The scientist's main research areas cover several specialized topics:

  • Machine Fault Diagnosis Techniques
  • Gear and Bearing Dynamics Analysis
  • Fault Detection and Control Systems
  • Non-Destructive Testing Techniques
  • Engineering Diagnostics and Reliability
  • Anomaly Detection Techniques and Applications
  • Structural Health Monitoring Techniques

Frequent publication venues for Shen's work include:

  • IEEE Transactions on Instrumentation and Measurement
  • Measurement Science and Technology
  • IEEE Sensors Journal
  • Mechanical Systems and Signal Processing
  • Measurement

Selected recent papers illustrate the scope and focus of the research:

  • "A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions" (2020), Mechanical Systems and Signal Processing
  • "Multi-scale deep intra-class transfer learning for bearing fault diagnosis" (2020), Reliability Engineering & System Safety
  • "Bearing fault diagnosis via generalized logarithm sparse regularization" (2021), Mechanical Systems and Signal Processing
  • "Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions" (2021), IEEE Transactions on Industrial Informatics
  • "A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines" (2020), IEEE Transactions on Industrial Informatics

Shen collaborates frequently with several coauthors, including Zhongkui Zhu (59 joint publications), Weiguo Huang (55), Juanjuan Shi (48), Dong Wang (40), and Liang Chen (19).

Best Publications

  • Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

    Xiaojie Guo;Liang Chen;Changqing Shen

  • Multi-scale deep intra-class transfer learning for bearing fault diagnosis

    Xu Wang;Changqing Shen;Min Xia;Dong Wang

  • A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions

    Jun Zhu;Nan Chen;Changqing Shen

  • Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier

    Changqing Shen;Changqing Shen;Dong Wang;Fanrang Kong;Peter W. Tse

  • Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery

    Yumei Qi;Changqing Shen;Dong Wang;Juanjuan Shi

  • A New Deep Transfer Learning Method for Bearing Fault Diagnosis Under Different Working Conditions

    Jun Zhu;Nan Chen;Changqing Shen

  • Bearing fault diagnosis via generalized logarithm sparse regularization

    Ziwei Zhang;Weiguo Huang;Yi Liao;Zeshu Song

  • A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines

    Xingxing Jiang;Jun Wang;Juanjuan Shi;Changqing Shen

  • Fault diagnosis of rotating machines based on the EMD manifold

    Jun Wang;Guifu Du;Zhongkui Zhu;Changqing Shen

  • Adversarial domain-invariant generalization: a generic domain-regressive framework for bearing fault diagnosis under unseen conditions

    Liang Chen;Qi Li;Changqing Shen;Jun Zhu

  • Initial center frequency-guided VMD for fault diagnosis of rotating machines

    Xingxing Jiang;Changqing Shen;Juanjuan Shi;Zhongkui Zhu

  • A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines

    Jun Zhu;Nan Chen;Changqing Shen

  • An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder

    Changqing Shen;Yumei Qi;Jun Wang;Gaigai Cai

  • Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions

    Qi Li;Changqing Shen;Liang Chen;Zhongkui Zhu

  • Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring

    Dong Wang;Yikai Chen;Changqing Shen;Jingjing Zhong

  • An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis

    Xingxing Jiang;Jun Wang;Changqing Shen;Juanjuan Shi

  • Sparse representation of transients in wavelet basis and its application in gearbox fault feature extraction

    Wei Fan;Gaigai Cai;Gaigai Cai;Z.K. Zhu;Z.K. Zhu;Changqing Shen

  • Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis

    Shenghao Tang;Changqing Shen;Dong Wang;Shuang Li

  • Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression

    Xin Li;Xiang Zhong;Haidong Shao;Te Han

  • Deep Fault Recognizer: An Integrated Model to Denoise and Extract Features for Fault Diagnosis in Rotating Machinery

    Xiaojie Guo;Changqing Shen;Liang Chen

  • A fast and adaptive varying-scale morphological analysis method for rolling element bearing fault diagnosis

    Changqing Shen;Changqing Shen;Qingbo He;Fanrang Kong;Peter W Tse

  • An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis

    Jiaqi Xie;Guifu Du;Changqing Shen;Nan Chen

  • Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions

    Changqing Shen;Xu Wang;Dong Wang;Yongxiang Li

Frequent Co-Authors

Zhongkui Zhu
Zhongkui Zhu Soochow University
Xingxing Jiang
Xingxing Jiang Soochow University
Dong Wang
Dong Wang Shanghai Jiao Tong University
Fang Liu
Fang Liu Beihang University
Fanrang Kong
Fanrang Kong University of Science and Technology of China
Qingbo He
Qingbo He Shanghai Jiao Tong University
Peter W. Tse
Peter W. Tse City University of Hong Kong
Wei You
Wei You University of North Carolina at Chapel Hill
Haidong Shao
Haidong Shao Hunan University
Wanli Zhang
Wanli Zhang University of Electronic Science and Technology of China

External Links

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Best Scientists Citing Changqing Shen

Qingbo He

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Publications: 28

Siliang Lu

Siliang Lu

Anhui University

Publications: 25

Ruqiang Yan

Ruqiang Yan

Xi'an Jiaotong University

Publications: 23

Xuefeng Chen

Xuefeng Chen

Xi'an Jiaotong University

Publications: 22

Dong Wang

Dong Wang

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Publications: 21

Jing Lin

Jing Lin

Beihang University

Publications: 17

Minping Jia

Minping Jia

Southeast University

Publications: 16

Yaguo Lei

Yaguo Lei

Xi'an Jiaotong University

Publications: 15

Xingxing Jiang

Xingxing Jiang

Soochow University

Publications: 15

Kwok-Leung Tsui

Kwok-Leung Tsui

Virginia Tech

Publications: 14

Ming J. Zuo

Ming J. Zuo

University of Alberta

Publications: 13

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Zhongkui Zhu

Soochow University

Publications: 13

Chuan Li

Chuan Li

Chongqing Technology and Business University

Publications: 12

Xinyu Li

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Huazhong University of Science and Technology

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