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Ruqiang Yan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 84 847 817 125 123 348 30561

Ruqiang Yan publications per year

The chart shows the history of publications by Ruqiang Yan between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ruqiang Yan published across 23 years, from 2003 to 2025, averaging 23.5 papers a year. Output peaked at 70 publications in 2023. 114 of the 541 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 70. Peak 70 publications in 2023. 2003: 2 publications 2004: 4 publications 2005: 6 publications 2006: 4 publications 2007: 9 publications 2008: 4 publications 2009: 12 publications 2010: 11 publications 2011: 18 publications 2012: 13 publications 2013: 11 publications 2014: 10 publications 2015: 8 publications 2016: 20 publications 2017: 21 publications 2018: 15 publications 2019: 29 publications 2020: 48 publications 2021: 64 publications 2022: 48 publications 2023: 70 publications 2024: 69 publications 2025: 45 publications
2003 2025

541 publications in total across all disciplines

View publications per year as a table
Ruqiang Yan: publications per year, 2003 to 2025
Year Publications
2003 2
2004 4
2005 6
2006 4
2007 9
2008 4
2009 12
2010 11
2011 18
2012 13
2013 11
2014 10
2015 8
2016 20
2017 21
2018 15
2019 29
2020 48
2021 64
2022 48
2023 70
2024 69
2025 45
Total 541
Download as CSV

Ruqiang Yan publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ruqiang Yan sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 342–351 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 348 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208 348
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Ruqiang Yan D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ruqiang Yan sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 84–85 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 84 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88 84
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2019 - Fellow of the American Society of Mechanical Engineers

Overview

Ruqiang Yan is affiliated with Xi'an Jiaotong University in China, contributing extensively to the field of engineering with a focus on control and systems engineering. Their work spans multiple subfields including mechanical engineering, artificial intelligence, electrical and electronic engineering, and civil and structural engineering. The principal area of research covers machine fault diagnosis techniques alongside fault detection and control systems.

The scientist's recent publications examine advanced methodologies in fault diagnosis and prognostics within industrial scenarios. Notable papers include:

  • A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges (2021, Mechanical Systems and Signal Processing)
  • Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study (2020, ISA Transactions)
  • Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach (2020, IEEE Transactions on Industrial Electronics)
  • The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study (2021, Mechanical Systems and Signal Processing)
  • Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study (2021, IEEE Transactions on Instrumentation and Measurement)

The scientist frequently collaborates with several researchers, including Xuefeng Chen, Chuang Sun, Zhibin Zhao, Jiawen Xu, and Salvatore Baglio.

Their publication record spans a range of prominent venues related to instrumentation and measurement as well as mechanical systems and industrial informatics, such as:

  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Instrumentation & Measurement Magazine
  • Mechanical Systems and Signal Processing
  • IEEE Transactions on Industrial Informatics
  • Journal of Manufacturing Systems

Research topics frequently addressed include:

  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems
  • Gear and Bearing Dynamics Analysis
  • Anomaly Detection Techniques and Applications
  • Structural Health Monitoring Techniques
  • Non-Destructive Testing Techniques
  • Industrial Vision Systems and Defect Detection

Ruqiang Yan has been recognized with the designation of Fellow of the American Society of Mechanical Engineers in 2019.

Best Publications

  • Deep learning and its applications to machine health monitoring

    Rui Zhao;Ruqiang Yan;Zhenghua Chen;Kezhi Mao

  • Wavelets for fault diagnosis of rotary machines: A review with applications

    Ruqiang Yan;Robert X. Gao;Xuefeng Chen

  • Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning

    Siyu Shao;Stephen McAleer;Ruqiang Yan;Pierre Baldi

  • Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

    Rui Zhao;Dongzhe Wang;Ruqiang Yan;Kezhi Mao

  • Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks.

    Rui Zhao;Ruqiang Yan;Jinjiang Wang;Kezhi Mao

  • A sparse auto-encoder-based deep neural network approach for induction motor faults classification

    Wenjun Sun;Siyu Shao;Rui Zhao;Ruqiang Yan;Ruqiang Yan

  • A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

    Weihua Li;Ruyi Huang;Jipu Li;Yixiao Liao

  • Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study.

    Zhibin Zhao;Tianfu Li;Jingyao Wu;Chuang Sun

  • Approximate Entropy as a diagnostic tool for machine health monitoring

    Ruqiang Yan;Robert X. Gao

  • Wavelets: Theory and Applications for Manufacturing

    Robert X. Gao;Ruqiang Yan

  • Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach

    Zhenghua Chen;Min Wu;Rui Zhao;Feri Guretno

  • Generative adversarial networks for data augmentation in machine fault diagnosis

    Siyu Shao;Pu Wang;Ruqiang Yan;Ruqiang Yan

  • Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

    Chuang Sun;Meng Ma;Zhibin Zhao;Shaohua Tian

  • WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

    Tianfu Li;Zhibin Zhao;Chuang Sun;Li Cheng

  • Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study

    Zhibin Zhao;Qiyang Zhang;Xiaolei Yu;Chuang Sun

  • Hilbert–Huang Transform-Based Vibration Signal Analysis for Machine Health Monitoring

    Ruqiang Yan;R.X. Gao

  • Long short-term memory for machine remaining life prediction

    Jianjing Zhang;Peng Wang;Ruqiang Yan;Robert X. Gao

  • Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines

    Ruqiang Yan;Yongbin Liu;Robert X. Gao

  • DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

    Siyu Shao;Ruqiang Yan;Yadong Lu;Peng Wang

  • Prognosis of Defect Propagation Based on Recurrent Neural Networks

    A Malhi;Ruqiang Yan;R X Gao

  • Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis

    Tianfu Li;Zhibin Zhao;Chuang Sun;Ruqiang Yan

Frequent Co-Authors

Robert X. Gao
Robert X. Gao Case Western Reserve University
Xuefeng Chen
Xuefeng Chen Xi'an Jiaotong University
Xingwu Zhang
Xingwu Zhang Xi'an Jiaotong University
Kezhi Mao
Kezhi Mao Nanyang Technological University
Hongrui Cao
Hongrui Cao Xi'an Jiaotong University
Qingbo He
Qingbo He Shanghai Jiao Tong University
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Lihui Wang
Lihui Wang Royal Institute of Technology
Fanrang Kong
Fanrang Kong University of Science and Technology of China
Reza Langari
Reza Langari Texas A&M University

External Links

Personal website of Ruqiang Yan Google Scholar page

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Best Scientists Citing Ruqiang Yan

Xuefeng Chen

Xuefeng Chen

Xi'an Jiaotong University

Publications: 84

Qingbo He

Qingbo He

Shanghai Jiao Tong University

Publications: 53

Robert X. Gao

Robert X. Gao

Case Western Reserve University

Publications: 48

Zhengjia He

Zhengjia He

Xi'an Jiaotong University

Publications: 41

Yanyang Zi

Yanyang Zi

Xi'an Jiaotong University

Publications: 33

Changqing Shen

Changqing Shen

Soochow University

Publications: 31

Dong Wang

Dong Wang

Peking University

Publications: 30

Siliang Lu

Siliang Lu

Anhui University

Publications: 29

Fanrang Kong

Fanrang Kong

University of Science and Technology of China

Publications: 28

Zhongkui Zhu

Zhongkui Zhu

Soochow University

Publications: 28

Chuan Li

Chuan Li

Chongqing Technology and Business University

Publications: 27

David He

David He

University of Illinois at Chicago

Publications: 24

Jong-Myon Kim

Jong-Myon Kim

University of Ulsan

Publications: 22

Ming Zhao

Ming Zhao

Xi'an Jiaotong University

Publications: 21

Yaguo Lei

Yaguo Lei

Xi'an Jiaotong University

Publications: 21

Hongrui Cao

Hongrui Cao

Xi'an Jiaotong University

Publications: 20

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