| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 63 | 1392 | 1330 | 229 | 227 | 402 | 12608 |
The chart shows the history of publications by Qinglei Hu between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qinglei Hu published across 28 years, from 1998 to 2025, averaging 17.8 papers a year. Output peaked at 65 publications in 2023. 100 of the 499 publications appeared in the last two years.
499 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1998 | 1 |
| 1999 | 0 |
| 2000 | 0 |
| 2001 | 0 |
| 2002 | 0 |
| 2003 | 1 |
| 2004 | 4 |
| 2005 | 8 |
| 2006 | 14 |
| 2007 | 12 |
| 2008 | 12 |
| 2009 | 14 |
| 2010 | 12 |
| 2011 | 17 |
| 2012 | 17 |
| 2013 | 21 |
| 2014 | 11 |
| 2015 | 17 |
| 2016 | 12 |
| 2017 | 20 |
| 2018 | 17 |
| 2019 | 27 |
| 2020 | 24 |
| 2021 | 50 |
| 2022 | 23 |
| 2023 | 65 |
| 2024 | 40 |
| 2025 | 60 |
| Total | 499 |
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 Qinglei Hu sits on this spectrum.
This scientist: 402 publications — 74th percentile
74% 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 | 402 |
| 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 Qinglei Hu sits on this spectrum.
This scientist: 63 D-Index — 81st percentile
81% 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 | |
| 61 | 93 | |
| 62 | 92 | |
| 63 | 74 | 63 |
| 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 |
Qinglei Hu is affiliated with Beihang University in China and has a research portfolio primarily centered in engineering and computer science domains. Their work encompasses 262 publications in engineering and 86 in computer science, reflecting a broad interdisciplinary expertise.
Their research spans several subfields, including Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Artificial Intelligence. Among the main topics they have addressed are:
Qinglei Hu's research has been published in various academic venues with frequent contributions to:
Among notable papers authored or coauthored by Qinglei Hu are:
Frequent collaborators include Dongyu Li, Xiaodong Shao, Tuo Han, Youmin Zhang, and Haoyang Yang, indicating an active network within the aerospace and control systems research community.
Boyan Jiang;Qinglei Hu;Michael I. Friswell
Bing Xiao;Qinglei Hu;Youmin Zhang
Qinglei Hu;Xiaodong Shao;Lei Guo
Qinglei Hu;Guangfu Ma
Ye Jiang;Qinglei Hu;Guangfu Ma
Xiaodong Shao;Qinglei Hu;Yang Shi;Boyan Jiang
Qinglei Hu;Guangfu Ma;Lihua Xie
Bo Li;Qinglei Hu;Yongsheng Yang
Qinglei Hu;Qinglei Hu;Bo Li;Juntong Qi
Qinglei Hu
Chenliang Wang;Lei Guo;Changyun Wen;Qinglei Hu
Unknown
Bing Xiao;Qinglei Hu;Youmin Zhang;Xing Huo
Qinglei Hu;Guangfu Ma
Qinglei Hu;Boyan Jiang
Qinglei Hu;Qinglei Hu;Hongyang Dong;Youmin Zhang;Guangfu Ma
Bing Xiao;Qinglei Hu;Peng Shi
Boyan Jiang;Qinglei Hu;Michael I. Friswell
Jiakang Zhou;Qinglei Hu;Michael I. Friswell
Q. Hu;B. Xiao;M.I. Friswell
Qinglei Hu;Xiaodong Shao;Wen-Hua Chen
Bing Xiao;Qinglei Hu;Youmin Zhang
Chenliang Wang;Changyun Wen;Qinglei Hu
Qinglei Hu;Boyan Jiang;Youmin Zhang
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Many online institutions recognize the needs of professionals balancing education with work, providing online degree programs for working adults. These flexible options make it easier to upskill while maintaining career momentum in the fast-paced engineering sector.
King Abdullah University of Science and Technology
Central South University
Chinese Academy of Sciences
Loma Linda University
National Institutes of Health
Ludwig-Maximilians-Universität München
University of Cambridge
Juntendo University
Chinese University of Hong Kong
University of Göttingen
University of Washington
University of Alberta
University of Cambridge
University of Antwerp
IMDEA Nanoscience
Mayo Clinic
