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 84 412 401 194 185 466 25655
Computer Science 74 1493 1448 780 752 462 22295

Yao Wang publications per year

The chart shows the history of publications by Yao Wang between 1988 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yao Wang published across 39 years, from 1988 to 2026, averaging 17 papers a year. Output peaked at 35 publications in 2017. 20 of the 663 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1988 to 2026. Vertical axis: number of publications, 0 to 35. Peak 35 publications in 2017. 1988: 5 publications 1989: 5 publications 1990: 1 publication 1991: 6 publications 1992: 5 publications 1993: 7 publications 1994: 6 publications 1995: 16 publications 1996: 13 publications 1997: 25 publications 1998: 19 publications 1999: 14 publications 2000: 15 publications 2001: 18 publications 2002: 32 publications 2003: 18 publications 2004: 13 publications 2005: 11 publications 2006: 14 publications 2007: 26 publications 2008: 27 publications 2009: 24 publications 2010: 20 publications 2011: 11 publications 2012: 16 publications 2013: 15 publications 2014: 20 publications 2015: 16 publications 2016: 23 publications 2017: 35 publications 2018: 28 publications 2019: 34 publications 2020: 20 publications 2021: 27 publications 2022: 23 publications 2023: 21 publications 2024: 14 publications 2025: 19 publications 2026: 1 publication
1988 2026

663 publications in total across all disciplines

View publications per year as a table
Yao Wang: publications per year, 1988 to 2026
Year Publications
1988 5
1989 5
1990 1
1991 6
1992 5
1993 7
1994 6
1995 16
1996 13
1997 25
1998 19
1999 14
2000 15
2001 18
2002 32
2003 18
2004 13
2005 11
2006 14
2007 26
2008 27
2009 24
2010 20
2011 11
2012 16
2013 15
2014 20
2015 16
2016 23
2017 35
2018 28
2019 34
2020 20
2021 27
2022 23
2023 21
2024 14
2025 19
2026 1
Total 663
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Yao Wang 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 Yao Wang 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, 454–473 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: 466 publications — 81st percentile

81% 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
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
454–473 111 466
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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Yao Wang 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 Yao Wang 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, 84 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: 84 D-Index — 94th percentile

94% 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
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 84
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

Yao Wang is a researcher affiliated with New York University in the United States, specializing primarily in the field of Engineering. Their research contributions span several subfields, including Electrical and Electronic Engineering, Mechanical Engineering, Atomic and Molecular Physics and Optics, Computer Networks and Communications, and Biomedical Engineering.

Their work covers a range of topics with publications focusing on magnetic properties of thin films, multiferroics and related materials, energy harvesting in wireless networks, antenna design and analysis, acoustic wave resonator technologies, magnetic field sensors techniques, and characterization and applications of magnetic nanoparticles.

Yao Wang has published extensively in various scientific venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • Journal of Magnetism and Magnetic Materials
  • Journal of Physics Conference Series
  • IEEE Access

Some recent papers by Yao Wang are:

  • Low-Frequency Dual-Driven Magnetoelectric Antennas With Enhanced Transmission Efficiency and Broad Bandwidth, 2022, IEEE Antennas and Wireless Propagation Letters
  • Experimental studies on quasi-static axial crushing of additively-manufactured PLA random honeycomb-filled double circular tubes, 2021, Composite Structures
  • Influence of acceptor tethering on the performance of nonlinear optical properties for pyrene-based materials with A-π-D-π-D architecture, 2022, Arabian Journal of Chemistry
  • Action mechanism of Roman chamomile in the treatment of anxiety disorder based on network pharmacology, 2020, Journal of Food Biochemistry
  • In silico Screening of Natural Phytocompounds Towards Identification of Potential Lead Compounds to Treat COVID-19, 2021, Frontiers in Molecular Biosciences

Yao Wang has collaborated often with a number of researchers, including:

  • Yumei Wen
  • Ping Li
  • Lei Chen
  • Ning Xiao
  • Xiaojun Ji

Best Publications

  • Error control and concealment for video communication: a review

    Yao Wang;Qin-Fan Zhu

  • Video Processing and Communications

    Yao Wang;Ya-quin Zhang;Joern Ostermann

  • Error resilient video coding techniques

    Yao Wang;S. Wenger;Jiantao Wen;A.K. Katsaggelos

  • Multimedia content analysis-using both audio and visual clues

    Yao Wang;Zhu Liu;Jin-Cheng Huang

  • Multiple Description Coding for Video Delivery

    Yao Wang;A.R. Reibman;Shunan Lin

  • Multiple description coding using pairwise correlating transforms

    Yao Wang;M.T. Orchard;V. Vaishampayan;A.R. Reibman

  • Maximally smooth image recovery in transform coding

    Y. Wang;Q.-F. Zhu;L. Shaw

  • The large-scale production of carbon nanotubes in a nano-agglomerate fluidized-bed reactor

    Yao Wang;Fei Wei;Guohua Luo;Hao Yu

  • 99.9% purity multi-walled carbon nanotubes by vacuum high-temperature annealing

    Wei Huang;Yao Wang;Guohua Luo;Fei Wei

  • Video transport over ad hoc networks: multistream coding with multipath transport

    Shiwen Mao;Shunan Lin;S.S. Panwar;Yao Wang

  • Audio Feature Extraction and Analysis for Scene Segmentation and Classification

    Zhu Liu;Yao Wang;Tsuhan Chen

  • MPEG-4 rate control for multiple video objects

    A. Vetro;Huifang Sun;Yao Wang

  • Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model

    Jingyu Yang;Xinchen Ye;Kun Li;Chunping Hou

  • Rational Design of Single-Atom Site Electrocatalysts: From Theoretical Understandings to Practical Applications.

    Yao Wang;Dingsheng Wang;Yadong Li

  • Multiple description image coding for noisy channels by pairing transform coefficients

    Yao Wang;M.T. Orchard;A.R. Reibman;A.R. Reibman;A.R. Reibman

  • A treatment method to give separated multi-walled carbon nanotubes with high purity, high crystallization and a large aspect ratio

    Yao Wang;Jun Wu;Fei Wei

  • Active mesh-a feature seeking and tracking image sequence representation scheme

    Yao Wang;Ouseb Lee

  • End-to-End Learnt Image Compression via Non-Local Attention Optimization and Improved Context Modeling

    Tong Chen;Haojie Liu;Zhan Ma;Qiu Shen

  • Coding and cell-loss recovery in DCT-based packet video

    Q.-F. Zhu;Y. Wang;L. Shaw

  • Multiple-description video coding using motion-compensated temporal prediction

    A.R. Reibman;H. Jafarkhani;Yao Wang;M.T. Orchard

  • Supporting image and video applications in a multihop radio environment using path diversity and multiple description coding

    N. Gogate;Doo-Man Chung;S.S. Panwar;Yao Wang

Frequent Co-Authors

Fei Wei
Fei Wei Tsinghua University
Shivendra S. Panwar
Shivendra S. Panwar New York University
Elza Erkip
Elza Erkip New York University
Weizhong Qian
Weizhong Qian Tsinghua University
Qiang Zhang
Qiang Zhang Peking University
Qiang Zhang
Qiang Zhang Tsinghua University
Wenwu Zhu
Wenwu Zhu Tsinghua University
Yong Liu
Yong Liu New York University
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Amy R. Reibman
Amy R. Reibman Purdue University West Lafayette

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