| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 46 | 3409 | 3269 | 1253 | 1167 | 184 | 7849 |
The chart shows the history of publications by Benyuan Zhu between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Benyuan Zhu published across 32 years, from 1994 to 2025, averaging 6.2 papers a year. Output peaked at 27 publications in 2012. 10 of the 199 publications appeared in the last two years.
199 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1994 | 3 |
| 1995 | 2 |
| 1996 | 3 |
| 1997 | 5 |
| 1998 | 0 |
| 1999 | 3 |
| 2000 | 2 |
| 2001 | 10 |
| 2002 | 6 |
| 2003 | 8 |
| 2004 | 3 |
| 2005 | 0 |
| 2006 | 0 |
| 2007 | 0 |
| 2008 | 1 |
| 2009 | 1 |
| 2010 | 17 |
| 2011 | 25 |
| 2012 | 27 |
| 2013 | 16 |
| 2014 | 13 |
| 2015 | 7 |
| 2016 | 10 |
| 2017 | 4 |
| 2018 | 6 |
| 2019 | 6 |
| 2020 | 3 |
| 2021 | 5 |
| 2022 | 1 |
| 2023 | 2 |
| 2024 | 3 |
| 2025 | 7 |
| Total | 199 |
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 Benyuan Zhu sits on this spectrum.
This scientist: 184 publications — 24th percentile
24% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
| 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 | 184 |
| 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 |
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 Benyuan Zhu sits on this spectrum.
This scientist: 46 D-Index — 52nd percentile
52% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
| 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 | 46 |
| 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 |
Benyuan Zhu is affiliated with OFS in the United States and has a research focus primarily within the field of Engineering, with extensive work in Electrical and Electronic Engineering. Their research encompasses several specialized subfields including Geophysics, Mechanics of Materials, Surfaces, Coatings and Films, and Biomedical Engineering.
Their scholarly output covers a range of topics centered on photonics and optical communication technologies. Key areas of study include:
Benyuan Zhu has contributed to multiple publications, with papers appearing in a variety of peer-reviewed venues. The frequent outlets for their research include:
Recent selected publications by Benyuan Zhu include:
Benyuan Zhu has collaborated frequently with several researchers, including:
B Zhu;T F Taunay;M F Yan;J M Fini
Rongqing Hui;Benyuan Zhu;Renxiang Huang;C.T. Allen
S. Chandrasekhar;Xiang Liu;B. Zhu;D. W. Peckham
B. Zhu;T.F. Taunay;M. Fishteyn;X. Liu
Fatih Yaman;Neng Bai;Benyuan Zhu;Ting Wang
Xiang Liu;S Chandrasekhar;Benyuan Zhu;P J Winzer
A H Gnauck;P J Winzer;S Chandrasekhar;X Liu
K. S. Abedin;T. F. Taunay;M. Fishteyn;D. J. DiGiovanni
John M Fini;Benyuan Zhu;Thierry F Taunay;Man F Yan
P. J. Winzer;A. H. Gnauck;S. Chandrasekhar;S. Draving
Xiang Zhou;Jianjun Yu;Ming-Fang Huang;Yin Shao
K. S. Abedin;T. F. Taunay;M. Fishteyn;M. F. Yan
Xiang Zhou;L. E. Nelson;P. Magill;R. Isaac
M. D. Feuer;L. E. Nelson;X. Zhou;S. L. Woodward
Hok Yong Pua;K. Peddanarappagari;Benyuan Zhu;C. Allen
S. Wielandy;M. Fishteyn;B. Zhu
L. E. Nelson;M. D. Feuer;K. Abedin;X. Zhou
S. Chandrasekhar;A. H. Gnauck;Xiang Liu;P. J. Winzer
B. Zhu;T.F. Taunay;M. Fishteyn;X. Liu
Chongjin Xie;Peter J Winzer;Gregory Raybon;Alan H Gnauck
Benyuan Zhu;Lynn E. Nelson;Scott Stulz;Alan H. Gnauck
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Additionally, exploring what is a competency based masters degree helps students understand programs focused on demonstrating skills rather than credits. This approach is ideal for self-motivated learners looking to prove mastery in specialized areas efficiently.
National Institute of Information and Communications Technology
Publications: 55
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