World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
14328
World Ranking
4739
National Ranking
634

Overview

Xue Yang is affiliated with Shanghai Jiao Tong University in China and has contributed extensively to the field of engineering, with a primary focus on transportation and remote sensing applications. Their research encompasses a variety of subfields including transportation, building and construction, artificial intelligence, ocean engineering, and environmental engineering.

The scientist's work covers several main topics, notably:

  • Traffic Prediction and Management Techniques
  • Human Mobility and Location-Based Analysis
  • Automated Road and Building Extraction
  • Remote Sensing and LiDAR Applications
  • Data Management and Algorithms
  • Remote-Sensing Image Classification
  • Transportation Planning and Optimization

Xue Yang has published articles in multiple respected venues. The most frequent publication venues include:

  • DOAJ (DOAJ: Directory of Open Access Journals)
  • ISPRS International Journal of Geo-Information
  • IEEE Transactions on Intelligent Transportation Systems
  • International Journal of Digital Earth
  • Transactions in GIS

Among recent papers authored by Xue Yang are:

  • "Semantic segmentation for remote sensing images based on an AD-HRNet model" (2022), published in International Journal of Digital Earth
  • "Road intersection identification from crowdsourced big trace data using Mask-RCNN" (2021), published in Transactions in GIS

Other significant papers in the broader research network where Xue Yang's frequent co-authors contributed include:

  • "Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model" (2020), IEEE Geoscience and Remote Sensing Letters
  • "FTPG: A Fine-Grained Traffic Prediction Method With Graph Attention Network Using Big Trace Data" (2021), IEEE Transactions on Intelligent Transportation Systems
  • "Open-pit Mining Area Segmentation of Remote Sensing Images Based on DUSegNet" (2021), Journal of the Indian Society of Remote Sensing

Frequent collaborators in Xue Yang's research environment include Luliang Tang, Zihan Kan, Qingquan Li, Mengyuan Fang, and Chang Ren. These connections highlight a collaborative network primarily focused on intelligent transportation systems, remote sensing, and data-driven analysis techniques.

Best Publications

  • Using directional antennas for medium access control in ad hoc networks

    Romit Roy Choudhury;Xue Yang;Ram Ramanathan;Nitin H. Vaidya

  • R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

    Xue Yang;Junchi Yan;Ziming Feng;Tao He

  • A vehicle-to-vehicle communication protocol for cooperative collision warning

    X. Yang;L. Liu;N.H. Vaidya;F. Zhao

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model

    Yi Liu;Chao Pang;Zongqian Zhan;Xiaomeng Zhang

  • Arbitrary-Oriented Object Detection with Circular Smooth Label

    Xue Yang;Junchi Yan

  • Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks

    Xue Yang;Hao Sun;Kun Fu;Jirui Yang

  • A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned

    Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury

  • On physical carrier sensing in wireless ad hoc networks

    X. Yang;N. Vaidya

  • Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

    Xue Yang;Liping Hou;Yue Zhou;Wentao Wang

  • On designing MAC protocols for wireless networks using directional antennas

    R.R. Choudhury;Xue Yang;R. Ramanathan;N.H. Vaidya

  • A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection

    Jiao Jiao;Yue Zhang;Hao Sun;Xue Yang

  • SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

    Xue Yang;Junchi Yan;Xiaokang Yang;Jin Tang

  • Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

    Xue Yang;Hao Sun;Kun Fu;Jirui Yang

  • Learning Modulated Loss for Rotated Object Detection

    Wen Qian;Xue Yang;Silong Peng;Junchi Yan

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • Priority scheduling in wireless ad hoc networks

    Xue Yang;Nitin Vaidya

  • A wakeup scheme for sensor networks: achieving balance between energy saving and end-to-end delay

    Xue Yang;N.H. Vaidya

  • Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

    Xue Yang;Xiaojiang Yang;Jirui Yang;Qi Ming

  • Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

    Xue Yang;Junchi Yan;Qi Ming;Wentao Wang

  • Vehicle-to-vehicle communication protocol

    Jie Liu;Xue Yang;Feng Zhao

  • Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network

    Xue Yang;Hao Sun;Xian Sun;Menglong Yan

  • Microsoft Indoor Localization Competition: Experiences and Lessons Learned

    Dimitrios Lymberopoulos;Jie Liu;Xue Yang;Romit Roy Choudhury

Frequent Co-Authors

Junchi Yan
Junchi Yan Shanghai Jiao Tong University
Nitin H. Vaidya
Nitin H. Vaidya Georgetown University
Qingquan Li
Qingquan Li Shenzhen University
Kun Fu
Kun Fu University of Chinese Academy of Sciences
Xian Sun
Xian Sun University of Chinese Academy of Sciences
Shengjun Wang
Shengjun Wang Jiangsu University
Romit Roy Choudhury
Romit Roy Choudhury University of Illinois at Urbana-Champaign
Qi Tian
Qi Tian Huawei Technologies (China)
Anthony LaMarca
Anthony LaMarca Intel (United States)
Karuppiah Muthumani
Karuppiah Muthumani The Wistar Institute

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