World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
4624
World Ranking
8771
National Ranking
1483

Limin Jia 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 Limin Jia 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: 329 publications — 81st percentile

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

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

Limin Jia 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 Limin Jia 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: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Limin Jia is affiliated with Beijing Jiaotong University in China and has an extensive research portfolio primarily within the field of engineering. Their work spans several subfields, including Mechanical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, and Civil and Structural Engineering.

The scientist's research topics focus on areas related to railway systems and infrastructure. Key topics include Infrastructure Maintenance and Monitoring, Railway Systems and Energy Efficiency, Machine Fault Diagnosis Techniques, Railway Engineering and Dynamics, Vehicle License Plate Recognition, Remote Sensing and LiDAR Applications, and Transportation Planning and Optimization.

Limin Jia has contributed to a variety of recent publications, reflecting their engagement with topics such as fault diagnosis, system monitoring, and safety evaluations within rail transport contexts. Some notable papers include:

  • Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems, 2024, Mechanical Systems and Signal Processing
  • Fault Diagnosis of Wheelset Bearings in High-Speed Trains Using Logarithmic Short-Time Fourier Transform and Modified Self-Calibrated Residual Network, 2021, IEEE Transactions on Industrial Informatics
  • A Lightweight Framework for Obstacle Detection in the Railway Image Based on Fast Region Proposal and Improved YOLO-Tiny Network, 2022, IEEE Transactions on Instrumentation and Measurement
  • UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation, 2022, Advanced Engineering Informatics
  • GCG: Graph Convolutional network and gated recurrent unit method for high-speed train axle temperature forecasting, 2021, Mechanical Systems and Signal Processing

The scientist frequently publishes in several established venues, with multiple works appearing in:

  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Instrumentation and Measurement
  • IEEE Transactions on Industrial Informatics
  • Energy
  • Smart and Resilient Transport

In addition to journal articles, Limin Jia has contributed to books published by Springer Science+Business Media, including titles such as Communications, Signal Processing, and Systems (2022), Sensing Technology (2022), and the Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023 (2024).

Collaborators play a significant role in the scientist's research activities. Frequent co-authors include Yong Qin, Zhipeng Wang, Honghui Dong, Ruifeng Shi, and Lei Tong, indicating ongoing collaboration within their research community.

Best Publications

  • Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study

    Xiukun Wei;Ziming Yang;Yuxin Liu;Dehua Wei

  • A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains

    Dandan Peng;Zhiliang Liu;Huan Wang;Yong Qin

  • Traffic zone division based on big data from mobile phone base stations

    Honghui Dong;Mingchao Wu;Xiaoqing Ding;Lianyu Chu

  • Real-time road traffic state prediction based on ARIMA and Kalman filter

    Dong-wei Xu;Yong-dong Wang;Li-min Jia;Yong Qin

  • Hybrid deep learning architecture for rail surface segmentation and surface defect detection

    Yunpeng Wu;Yunpeng Wu;Yong Qin;Yu Qian;Feng Guo

  • Mamdani Model Based Adaptive Neural Fuzzy Inference System and its Application in Traffic Level of Service Evaluation

    Unknown

  • Urban rail track condition monitoring based on in-service vehicle acceleration measurements

    Xiukun Wei;Feng Liu;Limin Jia

  • Short-Term Abnormal Passenger Flow Prediction Based on the Fusion of SVR and LSTM

    Jianyuan Guo;Zhen Xie;Yong Qin;Limin Jia

  • A UAV-Based Visual Inspection Method for Rail Surface Defects

    Yunpeng Wu;Yong Qin;Zhipeng Wang;Limin Jia

  • Stretchable and Self-Healing Integrated All-Gel-State Supercapacitors Enabled by a Notch-Insensitive Supramolecular Hydrogel Electrolyte

    Unknown

  • Self-powered triboelectric nano vibration accelerometer based wireless sensor system for railway state health monitoring

    Xuejun Zhao;Guowu Wei;Xiuhan Li;Yong Qin

  • Optimal Number and Location Planning of Evacuation Signage in Public Space

    Zhe Zhang;Limin Jia;Yong Qin

  • Fault Diagnosis of Wheelset Bearings in High-Speed Trains Using Logarithmic Short-Time Fourier Transform and Modified Self-Calibrated Residual Network

    Unknown

  • Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit

    Dechen Yao;Boyang Li;Hengchang Liu;Jianwei Yang

  • Defect Detection of Pantograph Slide Based on Deep Learning and Image Processing Technology

    Xiukun Wei;Siyang Jiang;Yan Li;Chenliang Li

  • Energy consumption optimization of train operation for railway systems: Algorithm development and real-world case study

    Unknown

  • Multi-Target Defect Identification for Railway Track Line Based on Image Processing and Improved YOLOv3 Model

    Xiukun Wei;Dehua Wei;Da Suo;Limin Jia

  • A Lightweight Framework for Obstacle Detection in the Railway Image Based on Fast Region Proposal and Improved YOLO-Tiny Network

    Unknown

  • Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios

    Unknown

  • 9.3-10.4-GHz-band cross-coupled complementary oscillator with low phase-noise performance

    Lin Jia;Jian-Guo Ma;Kiat Seng Yeo;Manh Anh Do

  • UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation

    Unknown

  • Roller bearing safety region estimation and state identification based on LMD–PCA–LSSVM

    Yuan Zhang;Yong Qin;Zong-yi Xing;Li-min Jia

  • Rail wheel tread defect detection using improved YOLOv3

    Unknown

  • A comparative study on fault detection methods of rail vehicle suspension systems based on acceleration measurements

    Xiukun Wei;Limin Jia;Hai Liu

  • GCG: Graph Convolutional network and gated recurrent unit method for high-speed train axle temperature forecasting

    Jie Man;Honghui Dong;Xiaoming Yang;Ziying Meng

  • Improved Robust Vehicle Detection and Identification Based on Single Magnetic Sensor

    Honghui Dong;Xuzhao Wang;Chao Zhang;Ruisi He

  • AttGGCN Model: A Novel Multi-Sensor Fault Diagnosis Method for High-Speed Train Bogie

    Unknown

  • An Adaptive Multisensor Fault Diagnosis Method for High-Speed Train Traction Converters

    Honghui Dong;Fuzhao Chen;Zhipeng Wang;Limin Jia

  • Railway Intrusion Detection Based on Machine Vision: A Survey, Challenges, and Perspectives

    Unknown

  • Road Traffic Flow Prediction with a Time-Oriented ARIMA Model

    Honghui Dong;Limin Jia;Xiaoliang Sun;Chenxi Li

  • Train Timetable Optimizing and Rescheduling Based on Improved Particle Swarm Algorithm

    Xuelei Meng;Xuelei Meng;Limin Jia;Yong Qin

  • Self-powered hybrid flexible nanogenerator and its application in bionic micro aerial vehicles

    Guowu Wei;Yaqi Bi;Xiuhan Li;Dongdong Xu

Frequent Co-Authors

Yong Qin
Yong Qin Lanzhou University
Xuesong Zhou
Xuesong Zhou Arizona State University
Bin Ran
Bin Ran University of Wisconsin–Madison
Ming J. Zuo
Ming J. Zuo University of Alberta
Wei Tang
Wei Tang Chinese Academy of Sciences
Jérôme Antoni
Jérôme Antoni Institut National des Sciences Appliquées de Lyon
Ruisi He
Ruisi He Beijing Jiaotong University
Xiangyu Chen
Xiangyu Chen Chinese Academy of Sciences

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Engineering and Technology opens doors to a wide range of career opportunities. To complement technical expertise, many students consider developing skills in communication, business, and project management—key areas valued in today’s tech-driven industries.

For professionals seeking advanced communication skills, an online communications masters can enhance your ability to lead teams, manage stakeholders, and translate technical concepts effectively. Similarly, budding innovators may opt for an mba entrepreneurship online, which prepares graduates to launch and manage tech startups or lead innovation within established companies.

Flexibility and affordability are key considerations when choosing a program. Many professionals are now exploring affordable online mba programs no gmat, making it easier to balance work and study while advancing their credentials. Additionally, aspiring managers in technology fields may opt for an online degree in project management to gain specialized skills in coordinating complex engineering projects.

Each of these degrees offers distinct advantages as you shape your career pathway in the fast-evolving landscape of Engineering and Technology in the USA.

Best Scientists Citing Limin Jia

Trending Scientists

Recently Published Articles