| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 56 | 2028 | 1943 | 797 | 745 | 201 | 16613 |
| Computer Science | 57 | 3768 | 3663 | 1800 | 1736 | 242 | 17010 |
The chart shows the history of publications by Qing Zhao between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qing Zhao published across 28 years, from 1998 to 2025, averaging 8.6 papers a year. Output peaked at 25 publications in 2007. 3 of the 241 publications appeared in the last two years.
241 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1998 | 4 |
| 1999 | 5 |
| 2000 | 2 |
| 2001 | 2 |
| 2002 | 0 |
| 2003 | 4 |
| 2004 | 3 |
| 2005 | 12 |
| 2006 | 11 |
| 2007 | 25 |
| 2008 | 17 |
| 2009 | 17 |
| 2010 | 16 |
| 2011 | 15 |
| 2012 | 16 |
| 2013 | 15 |
| 2014 | 12 |
| 2015 | 10 |
| 2016 | 10 |
| 2017 | 8 |
| 2018 | 8 |
| 2019 | 9 |
| 2020 | 8 |
| 2021 | 8 |
| 2022 | 0 |
| 2023 | 1 |
| 2024 | 2 |
| 2025 | 1 |
| Total | 241 |
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 Qing Zhao sits on this spectrum.
This scientist: 201 publications — 30th percentile
30% 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 | 201 |
| 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 Qing Zhao sits on this spectrum.
This scientist: 56 D-Index — 71st percentile
71% 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 | 56 |
| 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 |
Qing Zhao is affiliated with Cornell University in the United States and has contributed to several fields within computer science and engineering. Their main research areas focus on computer networks and communications, electrical and electronic engineering, and aerospace engineering. The primary domains of study include energy efficient wireless sensor networks, energy harvesting in wireless networks, security in wireless sensor networks, IoT and edge/fog computing, UAV applications and optimization, video surveillance and tracking methods, and age of information optimization.
Their recent publications include the following:
Frequent co-authors who collaborated with Qing Zhao include:
Qing Zhao has published multiple papers in venues such as:
Their work primarily spans 11 publications within computer science and 4 publications in engineering. The detailed subfields include 10 publications in computer networks and communications, 3 in electrical and electronic engineering, 1 in aerospace engineering, and 1 in computer vision and pattern recognition.
Among recognized honors, Qing Zhao was named IEEE Fellow in 2013 for contributions to learning and decision theory in dynamic systems with applications to cognitive networking.
Qing Zhao;B.M. Sadler
Qing Zhao;Lang Tong;Ananthram Swami;Yunxia Chen
Yunxia Chen;Qing Zhao
Yunxia Chen;Qing Zhao;A. Swami
Lang Tong;Qing Zhao;S. Adireddy
Q. Zhao;L. Tong;A. Swami
Keqin Liu;Qing Zhao
S. Ahmad;Mingyan Liu;T. Javidi;Qing Zhao
Qing Zhao;B. Krishnamachari;Keqin Liu
Keqin Liu;Qing Zhao
Lang Tong;Qing Zhao;G. Mergen
Qing Zhao;A. Swami
M. Maskery;V. Krishnamurthy;Qing Zhao
Yunxia Chen;Qing Zhao;A. Swami
Qing Zhao;A. Swami
Wei Ren;Qing Zhao;A. Swami
Haoyang Liu;Keqin Liu;Qing Zhao
Yunxia Chen;Qing Zhao;V. Krishnamurthy;D. Djonin
Qing Zhao;Lang Tong
T. Javidi;B. Krishnamachari;Qing Zhao;Mingyan Liu
Qing Zhao;Brian M. Sadler
Ananthram Swami;Qing Zhao;Yao-Win Hong;Lang Tong
Qing Zhao;Bhaskar Krishnamachari;Keqin Liu
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Exploring careers in Electronics and Electrical Engineering often leads students to consider complementary fields that enhance their skills and job prospects. For those interested in leadership roles, pursuing a bachelor's in project management can provide valuable expertise in managing technical projects efficiently.
Many professionals balancing work and studies benefit from flexible options like online degrees for working adults. These programs allow learners to advance their education without sacrificing their current job responsibilities, making it easier to upskill and shift career paths.
For those interested in education or training roles within engineering fields, pursuing one of the best online teaching master's programs can open doors to instructional design and curriculum development careers, combining technical knowledge with proven teaching methods.
Finally, competency-based education offers an alternative route for students to demonstrate their skills and knowledge through practical assessments. Many institutions offer a list of competency-based colleges where you can earn degrees tailored to your pace and expertise, ideal for focused learners in engineering disciplines.
Botswana University of Agriculture and Natural Resources
Western Sydney University
Imec
National Institutes of Natural Sciences
Max Planck Society
University of South Florida
Hokkaido University
University of Copenhagen
Flinders University
University of Nottingham
Texas A&M University
Aarhus University
University of North Carolina at Chapel Hill
Yale University
Université Laval
University of Oklahoma
