World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
4624
World Ranking
8769
National Ranking
1485

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

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