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Engineering and Technology
China
2026
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Mathematics
China
2023

D-Index & Metrics

Engineering and Technology

D-Index
91
Citations
30140
World Ranking
248
National Ranking
40

Min Xie 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 Min Xie sits on this spectrum.

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 publications 804+

This scientist: 584 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Min Xie 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 Min Xie sits on this spectrum.

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: 91 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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 Mathematics in China Leader Award
  • 2006 - IEEE Fellow For contributions modeling and analysis of systems and software reliability.

Overview

Min Xie is affiliated with City University of Hong Kong in China and specializes in the field of Engineering, with a substantial focus on Control and Systems Engineering, Electrical and Electronic Engineering, and Statistics, Probability and Uncertainty. Their research output spans various subfields including Safety, Risk, Reliability and Quality, as well as Artificial Intelligence.

The scholar has contributed to numerous topics primarily related to systems reliability and fault detection. Key research themes include Reliability and Maintenance Optimization, Fault Detection and Control Systems, Risk and Safety Analysis, Machine Fault Diagnosis Techniques, Advanced Battery Technologies, Statistical Distribution Estimation and Applications, and Software Reliability and Analysis.

Min Xie's publication record demonstrates activity in several frequent venues. These include:

  • SSRN Electronic Journal
  • Reliability Engineering & System Safety
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Reliability
  • Journal of Colloid and Interface Science

Some notable recent papers authored or co-authored by Min Xie are:

  • "Anti-liquid-Interfering and Bacterially Antiadhesive Strategy for Highly Stretchable and Ultrasensitive Strain Sensors Based on Cassie-Baxter Wetting State" (2020) published in Advanced Functional Materials
  • "Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence" (2021) published in Reliability Engineering & System Safety
  • "A Supervised Bidirectional Long Short-Term Memory Network for Data-Driven Dynamic Soft Sensor Modeling" (2022) published in IEEE Transactions on Instrumentation and Measurement
  • "Rebooting data-driven soft-sensors in process industries: A review of kernel methods" (2020) published in Journal of Process Control
  • "A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains" (2021) published in Advanced Engineering Informatics

Min Xie has worked closely with frequent co-authors such as Zhiying Wu, Junlin Xiong, Qiaoji Zheng, Dunmin Lin, and Aibo Zhang, each contributing to multiple joint publications.

In recognition of contributions to the field, Min Xie was named an IEEE Fellow in 2006 for work on modeling and analysis of systems and software reliability.

Best Publications

  • Software reliability modelling

    Min Xie

  • Stochastic Ageing and Dependence for Reliability

    Chin-Diew Lai;Min Xie;R. E. Barlow

  • Stochastic modelling and analysis of degradation for highly reliable products

    Zhi-Sheng Ye;Min Xie

  • A modified Weibull distribution

    C.D. Lai;Min Xie;D.N.P. Murthy

  • A modified Weibull extension with bathtub-shaped failure rate function

    Min Xie;Y. Tang;Thong Ngee Goh

  • Reliability analysis using an additive Weibull model with bathtub-shaped failure rate function

    M. Xie;C.D. Lai

  • Fuzzy assessment of FMEA for engine systems

    Kai Xu;Loon Ching Tang;Min Xie;S. L. Ho

  • An integrated approach to innovative product development using Kano’s model and QFD

    X.X. Shen;K.C. Tan;M. Xie

  • Bayesian Networks in Fault Diagnosis

    Baoping Cai;Lei Huang;Min Xie

  • The use of ARIMA models for reliability forecasting and analysis

    S. L. Ho;M. Xie

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

    Baoping Cai;Yubin Zhao;Hanlin Liu;Min Xie

  • A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction

    S. L. Ho;M. Xie;T. N. Goh

  • Application of neural networks in forecasting engine systems reliability

    Kai Xu;Min Xie;Loon Ching Tang;S. L. Ho

  • Some effective control chart procedures for reliability monitoring

    Min Xie;Thong Ngee Goh;Priya Ranjan

  • Computing System Reliability: Models and Analysis

    Min Xie;Kim-Leng Poh;Yuan-Shun Dai

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

    Baoping Cai;Baoping Cai;Hanlin Liu;Min Xie

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

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

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

    Baoping Cai;Yu Liu;Min Xie

  • A study of project selection and feature weighting for analogy based software cost estimation

    Y. F. Li;M. Xie;T. N. Goh

  • A systematic comparison of metamodeling techniques for simulation optimization in Decision Support Systems

    Y. F. Li;S. H. Ng;M. Xie;T. N. Goh

  • Cumulative quantity control charts for monitoring production processes

    L. Y. Chan;M. Xie;T.N. Goh

Frequent Co-Authors

Thong Ngee Goh
Thong Ngee Goh National University of Singapore
Loon Ching Tang
Loon Ching Tang National University of Singapore
Zhi-Sheng Ye
Zhi-Sheng Ye National University of Singapore
Gregory Levitin
Gregory Levitin Southwest Jiaotong University
Yuanshun Dai
Yuanshun Dai University of Electronic Science and Technology of China
Yan-Fu Li
Yan-Fu Li Tsinghua University
Kim-Leng Poh
Kim-Leng Poh National University of Singapore
Lirong Cui
Lirong Cui Beijing Institute of Technology
Baoping Cai
Baoping Cai China University of Petroleum, Beijing
Way Kuo
Way Kuo City University of Hong Kong

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