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

Mo Li publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Mo Li sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 163 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Mo Li D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Mo Li sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 59 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

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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