World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 59 1725 1652 289 287 163 15053
Computer Science 59 3400 3304 456 453 174 15391

Mo Li publications per year

The chart shows the history of publications by Mo Li between 2006 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mo Li published across 21 years, from 2006 to 2026, averaging 14.2 papers a year. Output peaked at 41 publications in 2024. 34 of the 299 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2006 to 2026. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2024. 2006: 3 publications 2007: 4 publications 2008: 11 publications 2009: 3 publications 2010: 8 publications 2011: 14 publications 2012: 13 publications 2013: 18 publications 2014: 22 publications 2015: 11 publications 2016: 13 publications 2017: 14 publications 2018: 10 publications 2019: 10 publications 2020: 3 publications 2021: 11 publications 2022: 23 publications 2023: 33 publications 2024: 41 publications 2025: 33 publications 2026: 1 publication
2006 2026

299 publications in total across all disciplines

View publications per year as a table
Mo Li: publications per year, 2006 to 2026
Year Publications
2006 3
2007 4
2008 11
2009 3
2010 8
2011 14
2012 13
2013 18
2014 22
2015 11
2016 13
2017 14
2018 10
2019 10
2020 3
2021 11
2022 23
2023 33
2024 41
2025 33
2026 1
Total 299
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Mo Li publications per year - data summary

  • Mo Li, a Electronics and Electrical Engineering scholar from Hong Kong University of Science and Technology, has 299 publications recorded across 21 years, from 2006 to 2026.
  • The oldest publication on record dates to 2006 and the most recent to 2026.
  • The most productive year is 2024, with 41 publications.
  • The least productive year with any output is 2026, with 1 publication.
  • The rate of publication averages 14.2 papers per year over the whole span, or 14.2 per year counting only the 21 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 131 publications, 44% of the career total.
  • Split into equal eras - 2006-2012: 56 publications (8.0 per year); 2013-2019: 98 publications (14.0 per year); 2020-2026: 145 publications (20.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 154–173 publications, is where this scientist sits. 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: 445 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403 163
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Mo Li publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Mo Li, a Electronics and Electrical Engineering scholar from Hong Kong University of Science and Technology, records 163 publications - the 18th percentile of the discipline.
  • 18% of ranked Electronics and Electrical Engineering scientists score the same or lower than Mo Li, and about 82% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Mo Li ranks below the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 59 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120 59
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Mo Li, a Electronics and Electrical Engineering scholar from Hong Kong University of Science and Technology, records 59 D-Index - the 75th percentile of the discipline.
  • 75% of ranked Electronics and Electrical Engineering scientists score the same or lower than Mo Li, and about 25% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Mo Li ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

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
Yuanqing Zheng
Yuanqing Zheng Hong Kong Polytechnic University
Jiliang Wang
Jiliang Wang Tsinghua University
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China
Yuan He
Yuan He Tsinghua University
Zheng Yang
Zheng Yang Tsinghua University
Xiangke Liao
Xiangke Liao National University of Defense Technology
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

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