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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 38 2297 2141 277 277 230 5140

Changle Xiang publications per year

The chart shows the history of publications by Changle Xiang between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Changle Xiang published across 22 years, from 2004 to 2025, averaging 12.1 papers a year. Output peaked at 28 publications in 2018. 23 of the 267 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2018. 2004: 2 publications 2005: 0 publications 2006: 1 publication 2007: 2 publications 2008: 1 publication 2009: 3 publications 2010: 3 publications 2011: 13 publications 2012: 11 publications 2013: 6 publications 2014: 20 publications 2015: 11 publications 2016: 16 publications 2017: 23 publications 2018: 28 publications 2019: 18 publications 2020: 16 publications 2021: 28 publications 2022: 23 publications 2023: 19 publications 2024: 11 publications 2025: 12 publications
2004 2025

267 publications in total across all disciplines

View publications per year as a table
Changle Xiang: publications per year, 2004 to 2025
Year Publications
2004 2
2005 0
2006 1
2007 2
2008 1
2009 3
2010 3
2011 13
2012 11
2013 6
2014 20
2015 11
2016 16
2017 23
2018 28
2019 18
2020 16
2021 28
2022 23
2023 19
2024 11
2025 12
Total 267
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Changle Xiang publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Changle Xiang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 227–236 publications, is where this scientist sits. 47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47–56 publications 659+

This scientist: 230 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99 230
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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Changle Xiang D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Changle Xiang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 38 D-Index, is where this scientist sits. 30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 38 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130 38
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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Overview

Changle Xiang is affiliated with the Beijing Institute of Technology in China. Their research primarily focuses on engineering with a significant emphasis on automotive engineering and related subfields.

The scientist has contributed extensively to various domains including automotive engineering, control and systems engineering, electrical and electronic engineering, mechanical engineering, and aerospace engineering.

Key research topics covered in Xiang's work include:

  • Electric and Hybrid Vehicle Technologies
  • Electric Vehicles and Infrastructure
  • Advanced Battery Technologies Research
  • Vehicle Dynamics and Control Systems
  • Robotic Path Planning Algorithms
  • Gear and Bearing Dynamics Analysis
  • Control and Dynamics of Mobile Robots

Frequent co-authors collaborating with Xiang include:

  • Weida Wang (33 publications)
  • Hui Liu (29 publications)
  • Lijin Han (22 publications)
  • Ningkang Yang (17 publications)
  • Chao Yang (16 publications)

Changle Xiang has published in a variety of venues, with notable recurrent publication targets being:

  • Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering (14 papers)
  • Energy (13 papers)
  • IEEE Transactions on Transportation Electrification (6 papers)
  • IEEE Transactions on Vehicular Technology (5 papers)
  • Mechanical Systems and Signal Processing (5 papers)

Representative recent papers by Xiang include:

  • Path Tracking and Direct Yaw Moment Coordinated Control Based on Robust MPC With the Finite Time Horizon for Autonomous Independent-Drive Vehicles, 2020, IEEE Transactions on Vehicular Technology
  • Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: review and recent advances under intelligent transportation system, 2020, IET Intelligent Transport Systems
  • An Intelligent Lane-Changing Behavior Prediction and Decision-Making Strategy for an Autonomous Vehicle, 2021, IEEE Transactions on Industrial Electronics
  • An Optimization-Based Path Planning Approach for Autonomous Vehicles Using the DynEFWA-Artificial Potential Field, 2021, IEEE Transactions on Intelligent Vehicles
  • A review for design and dynamics control of unmanned ground vehicle, 2020, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering

Best Publications

  • Energy management of a dual-mode power-split hybrid electric vehicle based on velocity prediction and nonlinear model predictive control

    Changle Xiang;Feng Ding;Weida Wang;Wei He

  • Path Tracking and Direct Yaw Moment Coordinated Control Based on Robust MPC With the Finite Time Horizon for Autonomous Independent-Drive Vehicles

    Haonan Peng;Weida Wang;Quan An;Changle Xiang

  • Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: review and recent advances under intelligent transportation system

    Chao Yang;Mingjun Zha;Weida Wang;Kaijia Liu

  • Vibration mitigation for in-wheel switched reluctance motor driven electric vehicle with dynamic vibration absorbing structures

    Yechen Qin;Chenchen He;Xinxin Shao;Haiping Du

  • An intelligent Lane-Changing Behavior Prediction and Decision-Making strategy for an Autonomous Vehicle

    Weida Wang;Tianqi Qie;Chao Yang;Wenjie Liu

  • Road excitation classification for semi-active suspension system based on system response:

    Yechen Qin;Changle Xiang;Zhenfeng Wang;Mingming Dong

  • A Stochastic Predictive Energy Management Strategy for Plug-in Hybrid Electric Vehicles Based on Fast Rolling Optimization

    Chao Yang;Sixiong You;Weida Wang;Liang Li

  • Real-time optimal energy management strategy for a dual-mode power-split hybrid electric vehicle based on an explicit model predictive control algorithm

    Unknown

  • Unscented Kalman Filter-Based Battery SOC Estimation and Peak Power Prediction Method for Power Distribution of Hybrid Electric Vehicles

    Unknown

  • Torque Coordinated Control of Four In-Wheel Motor Independent-Drive Vehicles With Consideration of the Safety and Economy

    Haonan Peng;Weida Wang;Changle Xiang;Liang Li

  • A de-noising method using the improved wavelet threshold function based on noise variance estimation

    Unknown

  • Speed independent road classification strategy based on vehicle response: Theory and experimental validation

    Yechen Qin;Zhenfeng Wang;Changle Xiang;Ehsan Hashemi

  • A New Topology and Control Strategy for a Hybrid Battery-Ultracapacitor Energy Storage System

    Unknown

  • A multi-objective optimization energy management strategy for power split HEV based on velocity prediction

    Weida Wang;Xinghua Guo;Chao Yang;Yuanbo Zhang

  • Reinforcement learning-based real-time intelligent energy management for hybrid electric vehicles in a model predictive control framework

    Unknown

  • Robust Control in Diagonal Move Steer Mode and Experiment on an X-by-Wire UGV

    Unknown

  • Motor-Temperature-Aware Predictive Energy Management Strategy for Plug-In Hybrid Electric Vehicles Using Rolling Game Optimization

    Chao Yang;Mingjun Zha;Weida Wang;Liuquan Yang

  • Energy Management for a Hybrid Electric Vehicle Based on Blended Reinforcement Learning With Backward Focusing and Prioritized Sweeping

    Unknown

  • Road excitation classification for semi-active suspension system with deep neural networks

    Yechen Qin;Reza Langari;Zhenfeng Wang;Changle Xiang

  • Design of the frequency tuning scheme for a semi-active vibration absorber

    Pu Gao;Changle Xiang;Hui Liu;Paul Walker

  • A novel global sensitivity analysis on the observation accuracy of the coupled vehicle model

    Yechen Qin;Zhenfeng Wang;Changle Xiang;Mingming Dong

  • Reducing variable frequency vibrations in a powertrain system with an adaptive tuned vibration absorber group

    Pu Gao;Changle Xiang;Hui Liu;Han Zhou

  • A swarm intelligence-based predictive regenerative braking control strategy for hybrid electric vehicle

    Yuanbo Zhang;Weida Wang;Changle Xiang;Chao Yang

  • Semi-Active Vibration Control for in-Wheel Switched Reluctance Motor Driven Electric Vehicle With Dynamic Vibration Absorbing Structures: Concept and Validation

    Bin Xu;Changle Xiang;Yechen Qin;Peng Ding

  • Optimization Design and Performance Analysis of Vehicle Powertrain Mounting System

    Han Zhou;Hui Liu;Pu Gao;Chang-Le Xiang

  • Road profile estimation for semi-active suspension using an adaptive Kalman filter and an adaptive super-twisting observer

    Yechen Qin;Reza Langari;Zhenfeng Wang;Changle Xiang

  • Development and validation of a CFD based optimization procedure for the design of torque converter cascade

    Cheng Liu;Changle Xiang;Qingdong Yan;Wei Wei

  • Mode Shift Control for a Hybrid Heavy-Duty Vehicle with Power-Split Transmission

    Kun Huang;Changle Xiang;Yue Ma;Weida Wang

Frequent Co-Authors

Reza Langari
Reza Langari Texas A&M University
Liang Li
Liang Li Tsinghua University
Amir Khajepour
Amir Khajepour University of Waterloo
Xiangyu Wang
Xiangyu Wang Curtin University
Nong Zhang
Nong Zhang University of Technology Sydney
Haiping Du
Haiping Du University of Wollongong
Rongrong Wang
Rongrong Wang Shanghai Jiao Tong University

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