World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
7563
World Ranking
5199
National Ranking
1011

Lifeng Xi 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 Lifeng Xi 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: 188 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Lifeng Xi 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 Lifeng Xi 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: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Lifeng Xi is affiliated with Shanghai Jiao Tong University in China and focuses primarily on engineering research. Their work spans several subfields of study within engineering, including Control and Systems Engineering, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, Mechanical Engineering, and Mechanics of Materials.

The main topics covered by Lifeng Xi's publications include machine fault diagnosis techniques, reliability and maintenance optimization, industrial vision systems and defect detection, fault detection and control systems, quality and supply management, manufacturing process and optimization, as well as gear and bearing dynamics analysis.

Frequent coauthors of Lifeng Xi include Tangbin Xia, Dong Wang, Ershun Pan, Guojin Si, and Tongtong Yan, indicating ongoing collaborative research efforts in these areas.

Key recent papers authored or coauthored by Lifeng Xi are:

  • The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring (2020), Mechanical Systems and Signal Processing
  • Theoretical and Experimental Investigations on Spectral Lp/Lq Norm Ratio and Spectral Gini Index for Rotating Machine Health Monitoring (2020), IEEE Transactions on Automation Science and Engineering
  • Generalized Gini indices: Complementary sparsity measures to Box-Cox sparsity measures for machine condition monitoring (2021), Mechanical Systems and Signal Processing
  • State space modelling of variation propagation in multistage machining processes for variable stiffness structure workpieces (2020), International Journal of Production Research
  • Opportunistic maintenance policy integrating leasing profit and capacity balancing for serial-parallel leased systems (2020), Reliability Engineering & System Safety

The most frequent publication venues for Lifeng Xi's research include Mechanical Systems and Signal Processing, Reliability Engineering & System Safety, IEEE Transactions on Reliability, IEEE Transactions on Automation Science and Engineering, and Advanced Engineering Informatics.

Best Publications

  • Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods

    Runqing Huang;Lifeng Xi;Xinglin Li;C. Richard Liu

  • Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation

    Xiaojun Zhou;Lifeng Xi;Jay Lee

  • A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal

    Lu Chen;Lu Chen;Nathalie Bostel;Pierre Dejax;Jianguo Cai

  • Letters: Evolving artificial neural networks using an improved PSO and DPSO

    Jianbo Yu;Shijin Wang;Lifeng Xi

  • A proactive approach for simultaneous berth and quay crane scheduling problem with stochastic arrival and handling time

    Xiao-le Han;Zhi-qiang Lu;Li-feng Xi

  • Recent advances in prognostics and health management for advanced manufacturing paradigms

    Tangbin Xia;Yifan Dong;Lei Xiao;Shichang Du

  • An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation

    Tangbin Xia;Ya Song;Yu Zheng;Ershun Pan

  • Empirical analysis of support vector machine ensemble classifiers

    Shi-jin Wang;Avin Mathew;Yan Chen;Li-feng Xi

  • The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring

    Dong Wang;Zhike Peng;Lifeng Xi

  • Opportunistic preventive maintenance scheduling for a multi-unit series system based on dynamic programming

    Xiaojun Zhou;Lifeng Xi;Jay Lee

  • Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling

    Tangbin Xia;Tangbin Xia;Xiaoning Jin;Lifeng Xi;Jun Ni

  • Single-machine-based production scheduling model integrated preventive maintenance planning

    Ershun Pan;Wenzhu Liao;Lifeng Xi

  • An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks

    Jianbo Yu;Lifeng Xi;Shijin Wang

  • Preventive maintenance scheduling for repairable system with deterioration

    Wenzhu Liao;Ershun Pan;Lifeng Xi

  • A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

    Jian-bo Yu;Li-feng Xi

  • Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology

    Tangbin Xia;Lifeng Xi;Xiaojun Zhou;Jay Lee

  • Preventive maintenance optimization for a multi-component system under changing job shop schedule

    Xiaojun Zhou;Zhiqiang Lu;Lifeng Xi

  • Preventive maintenance modeling for multi-component systems with considering stochastic failures and disassembly sequence

    Xiaojun Zhou;Kaimin Huang;Lifeng Xi;Jay Lee

  • A preventive maintenance model for leased equipment subject to internal degradation and external shock damage

    Xiaojun Zhou;Changjie Wu;Yanting Li;Lifeng Xi

  • A joint model of production scheduling and predictive maintenance for minimizing job tardiness

    Ershun Pan;Wenzhu Liao;Lifeng Xi

  • Intelligent monitoring and diagnosis of manufacturing processes using an integrated approach of KBANN and GA

    Jianbo Yu;Lifeng Xi;Xiaojun Zhou

  • Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble

    Jianbo Yu;Lifeng Xi;Xiaojun Zhou

Frequent Co-Authors

Jay Lee
Jay Lee University of Maryland, College Park
Jianbo Yu
Jianbo Yu Tongji University
Dong Wang
Dong Wang Shanghai Jiao Tong University
Lin Li
Lin Li University of Illinois at Chicago
Zhike Peng
Zhike Peng Shanghai Jiao Tong University
Siliang Lu
Siliang Lu Anhui University
Fugee Tsung
Fugee Tsung Hong Kong University of Science and Technology
Jianjun Shi
Jianjun Shi Georgia Institute of Technology

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