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 32 6411 6155 2106 1959 131 3524

Yong Liu publications per year

The chart shows the history of publications by Yong Liu between 1990 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yong Liu published across 37 years, from 1990 to 2026, averaging 7.2 papers a year. Output peaked at 21 publications in 2018. 19 of the 268 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1990 to 2026. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2018. 1990: 1 publication 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 0 publications 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 1 publication 2000: 1 publication 2001: 2 publications 2002: 6 publications 2003: 2 publications 2004: 2 publications 2005: 6 publications 2006: 1 publication 2007: 2 publications 2008: 8 publications 2009: 8 publications 2010: 11 publications 2011: 18 publications 2012: 7 publications 2013: 7 publications 2014: 14 publications 2015: 20 publications 2016: 19 publications 2017: 17 publications 2018: 21 publications 2019: 8 publications 2020: 14 publications 2021: 12 publications 2022: 16 publications 2023: 11 publications 2024: 12 publications 2025: 18 publications 2026: 1 publication
1990 2026

268 publications in total across all disciplines

View publications per year as a table
Yong Liu: publications per year, 1990 to 2026
Year Publications
1990 1
1991 0
1992 0
1993 1
1994 0
1995 1
1996 0
1997 0
1998 0
1999 1
2000 1
2001 2
2002 6
2003 2
2004 2
2005 6
2006 1
2007 2
2008 8
2009 8
2010 11
2011 18
2012 7
2013 7
2014 14
2015 20
2016 19
2017 17
2018 21
2019 8
2020 14
2021 12
2022 16
2023 11
2024 12
2025 18
2026 1
Total 268
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Yong Liu 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 Yong Liu 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, 114–133 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: 131 publications — 9th percentile

9% 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
114–133 269 131
134–153 355
154–173 403
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
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Yong Liu 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 Yong Liu 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, 32 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: 32 D-Index — 10th percentile

10% 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 32
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
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
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Overview

Yong Liu is affiliated with New York University in the United States and has a research focus primarily in the field of Engineering. Their subfields of study emphasize Electrical and Electronic Engineering, Control and Systems Engineering, and Mechanical Engineering, with additional work in Artificial Intelligence and Ocean Engineering.

Their research spans several main topics, including Microgrid Control and Optimization, Advanced Battery Technologies Research, Power System Optimization and Stability, HVDC Systems and Fault Protection, Time Series Analysis and Forecasting, Power Systems and Renewable Energy, and Smart Grid Energy Management.

Yong Liu has contributed to numerous publications, frequently appearing in venues such as:

  • arXiv (Cornell University)
  • Journal of Physics Conference Series
  • SSRN Electronic Journal
  • Renewable Energy
  • 2022 IEEE 4th International Conference on Dielectrics (ICD)

Some recent papers authored or coauthored by Yong Liu include:

  • Impact of High PV Penetration on the Inter-area Oscillations in the U.S. Eastern Interconnection, 2021, arXiv (Cornell University)
  • The potential assessment of pump hydro energy storage to reduce renewable curtailment and CO2 emissions in Northwest China, 2023, Renewable Energy
  • Unlocking potential contribution of seasonal pumped storage to ensure the flexibility of power systems with high proportion of renewable energy sources, 2023, Renewable Energy
  • Comprehensive benefit evaluations for integrating off-river pumped hydro storage and floating photovoltaic, 2023, Energy Conversion and Management
  • State of power prediction joint fisher optimal segmentation and PO-BP neural network for a parallel battery pack considering cell inconsistency, 2024, Applied Energy

Frequent collaborators in Yong Liu's research include Shutang You, Xiangdong Huang, Jianmin Wang, Mingsheng Long, and Jianling Li.

Best Publications

  • A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons

    Jae-sun Seo;Bernard Brezzo;Yong Liu;Benjamin D. Parker

  • Integrated cell manipulation system--CMOS/microfluidic hybrid.

    Hakho Lee;Yong Liu;Donhee Ham;Robert M. Westervelt

  • Specifications of Nanoscale Devices and Circuits for Neuromorphic Computational Systems

    B. Rajendran;Yong Liu;Jae-sun Seo;K. Gopalakrishnan

  • A 10-Gb/s Compact Low-Power Serial I/O With DFE-IIR Equalization in 65-nm CMOS

    Byungsub Kim;Yong Liu;T.O. Dickson;J.F. Bulzacchelli

  • Methods and apparatus for manipulation and/or detection of biological samples and other objects

    Donhee Ham;Robert Westervelt;Thomas Hunt;Yong Liu

  • CMOS RF Biosensor Utilizing Nuclear Magnetic Resonance

    Nan Sun;Yong Liu;Hakho Lee;R. Weissleder

  • Fast-Lock Hybrid PLL Combining Fractional- $N$ and Integer- $N$ Modes of Differing Bandwidths

    Kyoungho Woo;Yong Liu;Eunsoo Nam;Donhee Ham

  • Frequency Response Assessment and Enhancement of the U.S. Power Grids Toward Extra-High Photovoltaic Generation Penetrations—An Industry Perspective

    Yong Liu;Shutang You;Jin Tan;Yingchen Zhang

  • IC/microfluidic hybrid system for magnetic manipulation of biological cells

    Hakho Lee;Yong Liu;R.M. Westervelt;D. Ham

  • A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye

    Yong Liu;Shutang You;Wenxuan Yao;Yi Cui

  • 2.5D and 3D technology challenges and test vehicle demonstrations

    J. U. Knickerbocker;P. S. Andry;E. Colgan;B. Dang

  • Non-Invasive Identification of Inertia Distribution Change in High Renewable Systems Using Distribution Level PMU

    Shutang You;Yong Liu;Gefei Kou;Xuemeng Zhang

  • Impact of High PV Penetration on the Inter-Area Oscillations in the U.S. Eastern Interconnection

    Shutang You;Gefei Kou;Yong Liu;Xuemeng Zhang

  • ARMAX-Based Transfer Function Model Identification Using Wide-Area Measurement for Adaptive and Coordinated Damping Control

    Hesen Liu;Lin Zhu;Zhuohong Pan;Feifei Bai

  • Impact of GPS Signal Loss and Its Mitigation in Power System Synchronized Measurement Devices

    Wenxuan Yao;Yong Liu;Dao Zhou;Zhuohong Pan

  • A 19-Gb/s Serial Link Receiver With Both 4-Tap FFE and 5-Tap DFE Functions in 45-nm SOI CMOS

    Ankur Agrawal;John Bulzacchelli;Timothy Dickson;Yong Liu

  • Source Location Identification of Distribution-Level Electric Network Frequency Signals at Multiple Geographic Scales

    Wenxuan Yao;Jiecheng Zhao;Micah J. Till;Shutang You

  • Frequency Regulation and Oscillation Damping Contributions of Variable-Speed Wind Generators in the U.S. Eastern Interconnection (EI)

    Yong Liu;Joe R. Gracia;Thomas J. King;Yilu Liu

  • An optimal combined operation scheme for pumped storage and hybrid wind-photovoltaic complementary power generation system

    Kaiqi Sun;Kaiqi Sun;Ke-Jun Li;Jiuping Pan;Yong Liu

  • Oscillation mode identification based on wide-area ambient measurements using multivariate empirical mode decomposition

    Shutang You;Jiahui Guo;Gefei Kou;Yong Liu

  • A flexible embedded SRAM compiler

    Yong Liu;Zhiqiang Gao;Xiangqing He

  • Comparative Assessment of Tactics to Improve Primary Frequency Response Without Curtailing Solar Output in High Photovoltaic Interconnection Grids

    Shutang You;Yong Liu;Jin Tan;Melanie T. Gonzalez

  • Distributed Data Analytics Platform for Wide-Area Synchrophasor Measurement Systems

    Dao Zhou;Jiahui Guo;Ye Zhang;Jidong Chai

  • Dynamic Single-Phase Synchronized Phase and Frequency Estimation at the Distribution Level

    Lingwei Zhan;Yong Liu;Jerel Culliss;Jianyang Zhao

  • Study of Wind and PV Frequency Control in U.S. Power Grids—EI and TI Case Studies

    Yong Liu;Shutang You;Yilu Liu

  • Optimal Active Distribution Network Planning: A Review

    Yue Xiang;Junyong Liu;Furong Li;Yong Liu

  • Analytical Assessment for Transient Stability Under Stochastic Continuous Disturbances

    Ping Ju;Hongyu Li;Chun Gan;Yong Liu

  • Optimal active distribution system management considering aggregated plug-in electric vehicles

    Unknown

  • Event identification based on random forest classifier for Φ-OTDR fiber-optic distributed disturbance sensor

    Unknown

  • The potential assessment of pump hydro energy storage to reduce renewable curtailment and CO2 emissions in Northwest China

    Unknown

  • Impact of High PV Penetration on the Inter-area Oscillations in the U.S. Eastern Interconnection

    Shutang You

Frequent Co-Authors

Donhee Ham
Donhee Ham Harvard University
Daniel Friedman
Daniel Friedman Indiana University
Nan Sun
Nan Sun Tsinghua University
Ralph Weissleder
Ralph Weissleder Harvard University
Daniel J. Friedman
Daniel J. Friedman IBM (United States)
John U. Knickerbocker
John U. Knickerbocker IBM (United States)
Bipin Rajendran
Bipin Rajendran King's College London
Xiaoxiong Gu
Xiaoxiong Gu IBM (United States)
Cornelia K. Tsang
Cornelia K. Tsang IBM Thomas J. Watson Research Center
Leland Chang
Leland Chang IBM Research - Thomas J. Watson Research Center

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