World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
15391
World Ranking
3400
National Ranking
456

Electronics and Electrical Engineering

D-Index
59
Citations
15053
World Ranking
1725
National Ranking
288

Overview

Mo Li is affiliated with Nanyang Technological University in Singapore and specializes in the field of Engineering. Their research covers a range of subfields including Electrical and Electronic Engineering, Transportation, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Water Science and Technology.

Their work spans several main topics, with notable focus areas including Transportation Planning and Optimization, Traffic Prediction and Management Techniques, Hydrology and Watershed Management Studies, Indoor and Outdoor Localization Technologies, Bluetooth and Wireless Communication Technologies, Hydrological Forecasting Using AI, and IoT Networks and Protocols.

Mo Li has contributed to numerous publications, including these recent papers:

  • Day-ahead short-term load probability density forecasting method with a decomposition-based quantile regression forest, 2020, Applied Energy
  • Associations between biological ageing and the risk of, genetic susceptibility to, and life expectancy associated with rheumatoid arthritis: a secondary analysis of two observational studies, 2023, The Lancet Healthy Longevity
  • DeePhage: distinguishing virulent and temperate phage-derived sequences in metavirome data with a deep learning approach, 2021, GigaScience
  • Stepwise decomposition-integration-prediction framework for runoff forecasting considering boundary correction, 2022, The Science of The Total Environment
  • Traffic Flow Prediction with Vehicle Trajectories, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors collaborating with Mo Li include Shu-Fang Vivienne Wu, Qian Guo, Xiaoqing Jiang, Huaiqiu Zhu, and Rui Tan.

Their publications frequently appear in venues such as arXiv (Cornell University), SSRN Electronic Journal, ACM Transactions on Sensor Networks, IEEE Transactions on Mobile Computing, and the Journal of Physics Conference Series.

Best Publications

  • Rendered path: range-free localization in anisotropic sensor networks with holes

    Mo Li;Yunhao Liu

  • Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices

    Lei Yang;Yekui Chen;Xiang-Yang Li;Chaowei Xiao

  • Precise Power Delay Profiling with Commodity WiFi

    Yaxiong Xie;Zhenjiang Li;Mo Li

  • Precise Power Delay Profiling with Commodity Wi-Fi

    Yaxiong Xie;Zhenjiang Li;Mo Li

  • Demo: how long to wait?: predicting bus arrival time with mobile phone based participatory sensing

    Pengfei Zhou;Yuanqing Zheng;Mo Li

  • Underground structure monitoring with wireless sensor networks

    Mo Li;Yunhao Liu

  • Underground coal mine monitoring with wireless sensor networks

    Mo Li;Yunhao Liu

  • Does Wireless Sensor Network Scale? A Measurement Study on GreenOrbs

    Yunhao Liu;Yuan He;Mo Li;Jiliang Wang

  • Does wireless sensor network scale? A measurement study on GreenOrbs

    Yunhao Liu;Yuan He;Mo Li;Jiliang Wang

  • A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues

    Mo Li;Zhenjiang Li;Athanasios V. Vasilakos

  • Passive diagnosis for wireless sensor networks

    Yunhao Liu;Kebin Liu;Mo Li

  • Passive diagnosis for wireless sensor networks

    Kebin Liu;Mo Li;Yunhao Liu;Minglu Li

  • Known and Unknown Facts of LoRa: Experiences from a Large-scale Measurement Study

    Jansen C. Liando;Amalinda Gamage;Agustinus W. Tengourtius;Mo Li

  • mD-Track: Leveraging Multi-Dimensionality for Passive Indoor Wi-Fi Tracking

    Yaxiong Xie;Jie Xiong;Mo Li;Kyle Jamieson

  • IODetector: a generic service for indoor outdoor detection

    Pengfei Zhou;Yuanqing Zheng;Zhenjiang Li;Mo Li

  • Use it free: instantly knowing your phone attitude

    Pengfei Zhou;Mo Li;Guobin Shen

  • Travi-Navi: Self-Deployable Indoor Navigation System

    Yuanqing Zheng;Guobin Shen;Liqun Li;Chunshui Zhao

  • CLNet: Complex Input Lightweight Neural Network Designed for Massive MIMO CSI Feedback

    Sijie Ji;Mo Li

  • How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Participatory Sensing

    Pengfei Zhou;Yuanqing Zheng;Mo Li

  • Travi-Navi: self-deployable indoor navigation system

    Yuanqing Zheng;Guobin Shen;Liqun Li;Chunshui Zhao

  • Fast tag searching protocol for large-scale RFID systems

    Yuanqing Zheng;Mo Li

Frequent Co-Authors

Yunhao Liu
Yunhao Liu Tsinghua University
Jiliang Wang
Jiliang Wang Tsinghua University
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China
Zheng Yang
Zheng Yang Tsinghua University
Yuan He
Yuan He Tsinghua University
Guobin Shen
Guobin Shen Hong Kong University of Science and Technology
Kaishun Wu
Kaishun Wu Shenzhen University
Bingsheng He
Bingsheng He National University of Singapore
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Kyle Jamieson
Kyle Jamieson Princeton University

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