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Baoping Cai

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 53 3390 3242 686 682 222 11102

Baoping Cai publications per year

The chart shows the history of publications by Baoping Cai between 2008 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Baoping Cai published across 19 years, from 2008 to 2026, averaging 16.2 papers a year. Output peaked at 41 publications in 2025. 43 of the 307 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2008 to 2026. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2025. 2008: 3 publications 2009: 4 publications 2010: 6 publications 2011: 11 publications 2012: 19 publications 2013: 21 publications 2014: 9 publications 2015: 10 publications 2016: 8 publications 2017: 12 publications 2018: 8 publications 2019: 16 publications 2020: 17 publications 2021: 32 publications 2022: 25 publications 2023: 32 publications 2024: 31 publications 2025: 41 publications 2026: 2 publications
2008 2026

307 publications in total across all disciplines

View publications per year as a table
Baoping Cai: publications per year, 2008 to 2026
Year Publications
2008 3
2009 4
2010 6
2011 11
2012 19
2013 21
2014 9
2015 10
2016 8
2017 12
2018 8
2019 16
2020 17
2021 32
2022 25
2023 32
2024 31
2025 41
2026 2
Total 307
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Baoping Cai 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 Baoping Cai 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, 218–227 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: 222 publications — 56th percentile

56% 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
218–227 346 222
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

Baoping Cai 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 Baoping Cai 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, 53 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: 53 D-Index — 66th percentile

66% 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 53
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

Overview

Baoping Cai is affiliated with the China University of Petroleum in Beijing, China. Their research primarily spans the field of Engineering, with a focus on Control and Systems Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering, Ocean Engineering, and Mechanics of Materials.

Their academic output includes work on various topics such as:

  • Risk and Safety Analysis
  • Machine Fault Diagnosis Techniques
  • Fault Detection and Control Systems
  • Engineering Diagnostics and Reliability
  • Oil and Gas Production Techniques
  • Reliability and Maintenance Optimization
  • Occupational Health and Safety Research

Baoping Cai has contributed to a number of publications, frequently collaborating with scholars such as Liu Y, Zengkai Liu, Xiaoyan Shao, Yiliu Liu, and Xiangdi Kong.

The scholar's work appears predominantly in venues including:

  • Ocean Engineering
  • Reliability Engineering & System Safety
  • Expert Systems with Applications
  • SSRN Electronic Journal
  • Mechanical Systems and Signal Processing

Notable recent publications by Baoping Cai include:

  • Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework, 2022, Advanced Engineering Informatics
  • Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation, 2023, IEEE Transactions on Industrial Informatics
  • Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network, 2023, Mechanical Systems and Signal Processing
  • Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images, 2022, IEEE Transactions on Systems Man and Cybernetics Systems
  • Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals, 2023, Expert Systems with Applications

Best Publications

  • Bayesian Networks in Fault Diagnosis

    Baoping Cai;Lei Huang;Min Xie

  • A Data-Driven Fault Diagnosis Methodology in Three-Phase Inverters for PMSM Drive Systems

    Baoping Cai;Yubin Zhao;Hanlin Liu;Min Xie

  • Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework

    Unknown

  • Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network

    Baoping Cai;Yonghong Liu;Qian Fan;Yunwei Zhang

  • Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation

    Unknown

  • Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images

    Unknown

  • A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks

    Baoping Cai;Baoping Cai;Hanlin Liu;Min Xie

  • Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network

    Unknown

  • Availability-Based Engineering Resilience Metric and Its Corresponding Evaluation Methodology

    Baoping Cai;Baoping Cai;Min Xie;Yonghong Liu;Yiliu Liu

  • Application of Bayesian Networks in Reliability Evaluation

    Baoping Cai;Xiangdi Kong;Yonghong Liu;Jing Lin

  • A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults

    Baoping Cai;Yu Liu;Min Xie

  • Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals

    Unknown

  • Remaining Useful Life Estimation of Structure Systems Under the Influence of Multiple Causes: Subsea Pipelines as a Case Study

    Baoping Cai;Xiaoyan Shao;Yonghong Liu;Xiangdi Kong

  • Convformer-NSE: A Novel End-to-End Gearbox Fault Diagnosis Framework Under Heavy Noise Using Joint Global and Local Information

    Unknown

  • Study of the recast layer of a surface machined by sinking electrical discharge machining using water-in-oil emulsion as dielectric

    Yanzhen Zhang;Yonghong Liu;Renjie Ji;Baoping Cai

  • Using Bayesian networks in reliability evaluation for subsea blowout preventer control system

    Baoping Cai;Yonghong Liu;Zengkai Liu;Xiaojie Tian

  • Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data

    Unknown

  • Optimal sensor placement methodology of hydraulic control system for fault diagnosis

    Unknown

  • A dynamic Bayesian networks modeling of human factors on offshore blowouts

    Baoping Cai;Yonghong Liu;Yunwei Zhang;Qian Fan

  • Application of Bayesian networks in quantitative risk assessment of subsea blowout preventer operations.

    Baoping Cai;Yonghong Liu;Zengkai Liu;Xiaojie Tian

  • Remaining useful life re-prediction methodology based on Wiener process: Subsea Christmas tree system as a case study

    Baoping Cai;Hongyan Fan;Xiaoyan Shao;Yonghong Liu

  • Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance

    Baoping Cai;Yanping Zhang;Haifeng Wang;Yonghong Liu

  • An experimental study of crevice corrosion behaviour of 316L stainless steel in artificial seawater

    Baoping Cai;Yonghong Liu;Xiaojie Tian;Fei Wang

  • Data-driven early fault diagnostic methodology of permanent magnet synchronous motor

    Baoping Cai;Keke Hao;Zhengda Wang;Chao Yang

  • Dynamic Bayesian networks based approach for risk analysis of subsea wellhead fatigue failure during service life

    Yuanjiang Chang;Xiangfei Wu;Changshuai Zhang;Guoming Chen

  • A Fusion CWSMM-based Framework for Rotating Machinery Fault Diagnosis under Strong Interference and Imbalanced Case

    Xin Li;Jian Cheng;Haidong Shao;Kan Liu

  • Dynamic Bayesian networks based performance evaluation of subsea blowout preventers in presence of imperfect repair

    Baoping Cai;Yonghong Liu;Yunwei Zhang;Qian Fan

  • Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures

    Zengkai Liu;Yonghong Liu;Baoping Cai;Dawei Zhang

Frequent Co-Authors

Yonghong Liu
Yonghong Liu China University of Petroleum, Beijing
Renjie Ji
Renjie Ji China University of Petroleum, Beijing
Min Xie
Min Xie City University of Hong Kong
Jing Lin
Jing Lin Shenzhen University
Faisal Khan
Faisal Khan Texas A&M University
Suet To
Suet To Hong Kong Polytechnic University
Haidong Shao
Haidong Shao Hunan University
Qilin Wang
Qilin Wang University of Technology Sydney
Rouzbeh Abbassi
Rouzbeh Abbassi Macquarie University

External Links

Personal website of Baoping Cai Google Scholar page

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