| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 60 | 1622 | 1552 | 269 | 267 | 673 | 14840 |
The chart shows the history of publications by Ronghai Qu between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ronghai Qu published across 27 years, from 1999 to 2025, averaging 26.4 papers a year. Output peaked at 98 publications in 2023. 114 of the 713 publications appeared in the last two years.
713 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1999 | 1 |
| 2000 | 0 |
| 2001 | 0 |
| 2002 | 2 |
| 2003 | 5 |
| 2004 | 4 |
| 2005 | 1 |
| 2006 | 2 |
| 2007 | 2 |
| 2008 | 1 |
| 2009 | 1 |
| 2010 | 2 |
| 2011 | 3 |
| 2012 | 4 |
| 2013 | 11 |
| 2014 | 29 |
| 2015 | 53 |
| 2016 | 63 |
| 2017 | 54 |
| 2018 | 62 |
| 2019 | 74 |
| 2020 | 42 |
| 2021 | 51 |
| 2022 | 34 |
| 2023 | 98 |
| 2024 | 59 |
| 2025 | 55 |
| Total | 713 |
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 Ronghai Qu sits on this spectrum.
This scientist: 673 publications — 93rd percentile
93% 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 | |
| 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 | 673 |
| 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 Ronghai Qu sits on this spectrum.
This scientist: 60 D-Index — 77th percentile
77% 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 | |
| 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 | 60 |
| 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 |
Ronghai Qu is affiliated with Huazhong University of Science and Technology in China and conducts research predominantly in the field of Engineering. Their work spans several subfields, including Electrical and Electronic Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering, and Biomedical Engineering.
Their research topics cover a broad range of areas, with particular focus on Electric Motor Design and Analysis, Magnetic Bearings and Levitation Dynamics, Magnetic Properties and Applications, Sensorless Control of Electric Motors, Multilevel Inverters and Converters, Induction Heating and Inverter Technology, and Advanced DC-DC Converters.
Ronghai Qu has published extensively in various prestigious venues. Frequent publication outlets include:
Their recent significant papers are:
Ronghai Qu collaborates frequently with a core group of coauthors, including Dawei Li, Chun Gan, Wubin Kong, Kai Ni, and Zicheng Liu.
In recognition of contributions to flux modulation machines and wind generators, Ronghai Qu was named an IEEE Fellow in 2018.
Dawei Li;Ronghai Qu;Thomas A. Lipo
Donglai Liang;Jian Li;Ronghai Qu;Wubin Kong
Ronghai Qu;T.A. Lipo
Donglai Liang;Jian Li;Ronghai Qu
Dawei Li;Ronghai Qu;Jian Li;Linyuan Xiao
Patrick Lee Jansen;James Patrick Lyons;Ralph James Carl;Ronghai Qu
Ronghai Qu;T.A. Lipo
Yuting Gao;Ronghai Qu;Dawei Li;Jian Li
Tianjie Zou;Dawei Li;Ronghai Qu;Dong Jiang
Unknown
Ronghai Qu;Dawei Li;Jin Wang
Patrick Lee Jansen;Jr Ralph James Carl;James Michael Fogarty;James Patrick Lyons
Dawei Li;Ronghai Qu;Jian Li;Wei Xu
Dawei Li;Ronghai Qu;Jian Li;Wei Xu
Haiyang Fang;Dawei Li;Ronghai Qu;Peng Yan
Kangfu Xie;Dawei Li;Ronghai Qu;Yuting Gao
Dawei Li;Ronghai Qu;Jian Li
Leilei Wu;Ronghai Qu;Dawei Li;Yuting Gao
Ronghai Qu;M. Aydin;T.A. Lipo
Patrick Lee Jansen;James Michael Fogarty;Bharat Sampathkumaran Bagepalli;Aniruddha Dattatraya Gadre
Ronghai Qu;T.A. Lipo
Unknown
Jing Ou;Yingzhen Liu;Ronghai Qu;Martin Doppelbauer
Dawei Li;Ronghai Qu;Jian Li;Leilei Wu
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Furthermore, understanding the format of what is a competency based masters degree can help students choose flexible, skill-focused graduate programs. These emphasize mastery of practical skills over seat time, aligning well with engineering’s application-driven nature.
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