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Nan Zhao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 69 969 927 168 167 317 16187

Nan Zhao publications per year

The chart shows the history of publications by Nan Zhao between 2006 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nan Zhao published across 21 years, from 2006 to 2026, averaging 31.7 papers a year. Output peaked at 103 publications in 2023. 100 of the 665 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 2006 to 2026. Vertical axis: number of publications, 0 to 103. Peak 103 publications in 2023. 2006: 2 publications 2007: 1 publication 2008: 4 publications 2009: 3 publications 2010: 7 publications 2011: 3 publications 2012: 11 publications 2013: 13 publications 2014: 10 publications 2015: 15 publications 2016: 20 publications 2017: 31 publications 2018: 43 publications 2019: 46 publications 2020: 44 publications 2021: 54 publications 2022: 68 publications 2023: 103 publications 2024: 87 publications 2025: 90 publications 2026: 10 publications
2006 2026

665 publications in total across all disciplines

View publications per year as a table
Nan Zhao: publications per year, 2006 to 2026
Year Publications
2006 2
2007 1
2008 4
2009 3
2010 7
2011 3
2012 11
2013 13
2014 10
2015 15
2016 20
2017 31
2018 43
2019 46
2020 44
2021 54
2022 68
2023 103
2024 87
2025 90
2026 10
Total 665
Download as CSV

Nan Zhao publications per year - data summary

  • Nan Zhao, a Electronics and Electrical Engineering scholar from Dalian University of Technology, has 665 publications recorded across 21 years, from 2006 to 2026.
  • The oldest publication on record dates to 2006 and the most recent to 2026.
  • The most productive year is 2023, with 103 publications.
  • The least productive year with any output is 2007, with 1 publication.
  • The rate of publication averages 31.7 papers per year over the whole span, or 31.7 per year counting only the 21 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 358 publications, 54% of the career total.
  • Split into equal eras - 2006-2012: 31 publications (4.4 per year); 2013-2019: 178 publications (25.4 per year); 2020-2026: 456 publications (65.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Nan Zhao 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 Nan Zhao 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, 314–333 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: 317 publications — 61st percentile

61% 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
314–333 276 317
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
Download as CSV

Nan Zhao publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Nan Zhao, a Electronics and Electrical Engineering scholar from Dalian University of Technology, records 317 publications - the 61st percentile of the discipline.
  • 61% of ranked Electronics and Electrical Engineering scientists score the same or lower than Nan Zhao, and about 39% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Nan Zhao ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Nan Zhao 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 Nan Zhao 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, 69 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: 69 D-Index — 86th percentile

86% 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 69
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
Download as CSV

Nan Zhao D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Nan Zhao, a Electronics and Electrical Engineering scholar from Dalian University of Technology, records 69 D-Index - the 86th percentile of the discipline.
  • 86% of ranked Electronics and Electrical Engineering scientists score the same or lower than Nan Zhao, and about 14% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Nan Zhao ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

Overview

Nan Zhao is affiliated with Dalian University of Technology in China. Their research contributions span the fields of engineering and computer science, with a significant focus on electrical and electronic engineering, aerospace engineering, and computer networks and communications. Their work also touches on artificial intelligence and mechanical engineering, illustrating a broad technical expertise.

The scientist's main research topics include:

  • Advanced Wireless Communication Technologies
  • UAV Applications and Optimization
  • Wireless Communication Security Techniques
  • Advanced MIMO Systems Optimization
  • Satellite Communication Systems
  • Energy Harvesting in Wireless Networks
  • Wireless Signal Modulation Classification

Nan Zhao has a substantial publication record in reputable venues, notably:

  • IEEE Transactions on Communications
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Wireless Communications
  • IEEE Internet of Things Journal
  • arXiv (Cornell University)

Some of their recent papers include:

  • IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design, 2021, IEEE Transactions on Communications
  • When UAV Meets IRS: Expanding Air-Ground Networks via Passive Reflection, 2021, IEEE Wireless Communications
  • Joint Precoding Optimization for Secure SWIPT in UAV-Aided NOMA Networks, 2020, IEEE Transactions on Communications
  • Covert Communications: A Comprehensive Survey, 2023, IEEE Communications Surveys & Tutorials
  • Green UAV communications for 6G: A survey, 2021, Chinese Journal of Aeronautics

Throughout their career, Nan Zhao has frequently collaborated with several researchers, including Yunfei Chen, Dusit Niyato, Xianbin Wang, Jie Tang, and Mingqian Liu. These collaborations have contributed to a prolific output and a diverse range of research topics.

Best Publications

  • A Survey of Channel Modeling for UAV Communications

    Aziz Altaf Khuwaja;Yunfei Chen;Nan Zhao;Mohamed-Slim Alouini

  • UAV-Assisted Emergency Networks in Disasters

    Nan Zhao;Weidang Lu;Min Sheng;Yunfei Chen

  • Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach

    Ying He;Nan Zhao;Hongxi Yin

  • IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design

    Unknown

  • Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach

    Ying He;F. Richard Yu;Nan Zhao;Victor C. M. Leung

  • UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells

    Fen Cheng;Shun Zhang;Zan Li;Yunfei Chen

  • Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment

    Nan Zhao;Fen Cheng;F. Richard Yu;Jie Tang

  • Joint Trajectory and Precoding Optimization for UAV-Assisted NOMA Networks

    Nan Zhao;Xiaowei Pang;Zan Li;Yunfei Chen

  • Deep-Reinforcement-Learning-Based Optimization for Cache-Enabled Opportunistic Interference Alignment Wireless Networks

    Ying He;Zheng Zhang;F. Richard Yu;Nan Zhao

  • Multiple UAVs as Relays: Multi-Hop Single Link Versus Multiple Dual-Hop Links

    Yunfei Chen;Nan Zhao;Zhiguo Ding;Mohamed-Slim Alouini

  • When UAV Meets IRS: Expanding Air-Ground Networks via Passive Reflection

    Xiaowei Pang;Min Sheng;Nan Zhao;Jie Tang

  • UAV-Relaying-Assisted Secure Transmission With Caching

    Fen Cheng;Guan Gui;Nan Zhao;Yunfei Chen

  • Synthesis of hierarchical porous carbons for supercapacitors from coal tar pitch with nano-Fe2O3 as template and activation agent coupled with KOH activation

    Xiaojun He;Nan Zhao;Jieshan Qiu;Nan Xiao

  • Big Data Analytics in Mobile Cellular Networks

    Ying He;Fei Richard Yu;Nan Zhao;Hongxi Yin

  • Interference Alignment and Its Applications: A Survey, Research Issues, and Challenges

    Nan Zhao;F. Richard Yu;Minglu Jin;Qiao Yan

  • Adaptive Power Allocation Schemes for Spectrum Sharing in Interference-Alignment-Based Cognitive Radio Networks

    Nan Zhao;F. Richard Yu;Hongjian Sun;Ming Li

  • Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing

    Mehdi Sookhak;F. Richard Yu;Ying He;Hamid Talebian

  • Opportunistic communications in interference alignment networks with wireless power transfer

    Nan Zhao;F. Richard Yu;Victor C. M. Leung

  • Wireless Energy Harvesting Using Signals From Multiple Fading Channels

    Yunfei Chen;Nan Zhao;Mohamed-Slim Alouini

  • Transceiver Design and Multihop D2D for UAV IoT Coverage in Disasters

    Xiaonan Liu;Zan Li;Nan Zhao;Weixiao Meng

  • Joint Precoding Optimization for Secure SWIPT in UAV-Aided NOMA Networks

    Wei Wang;Jie Tang;Nan Zhao;Xin Liu

Frequent Co-Authors

F. Richard Yu
F. Richard Yu Carleton University
Yunfei Chen
Yunfei Chen University of Warwick
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
Yang Cao
Yang Cao Singapore University of Technology and Design
Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
Hongjian Sun
Hongjian Sun Durham University
Guan Gui
Guan Gui Nanjing University of Posts and Telecommunications
Mohamed-Slim Alouini
Mohamed-Slim Alouini King Abdullah University of Science and Technology
Xianbin Wang
Xianbin Wang University of Western Ontario

External Links

Personal website of Nan Zhao Google Scholar page

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Related Online Degrees & Career Pathways

For individuals pursuing Electronics and Electrical Engineering, flexible education options play a crucial role. Many students benefit from choosing military spouse friendly online colleges that accommodate unique schedules and life circumstances.

Additionally, the option to start courses immediately is attractive for those eager to advance quickly. Institutions offering online colleges that start immediately allow students to begin their studies without long waits, helping to maintain momentum in a fast-paced field.

For those seeking quick entry into the workforce or a career boost, 6 month programs provide targeted skills acquisition in a condensed timeframe, which can complement or precede a full engineering degree.

Many electronics and electrical careers suit individuals with introverted personalities, offering roles that focus on problem-solving and analysis rather than constant social interaction. Exploring good jobs for introverts can reveal ideal positions that match personal strengths and preferences within the engineering sector.

Best Scientists Citing Nan Zhao

Feng Shu

Feng Shu

Nanjing University of Science and Technology

Publications: 47

F. Richard Yu

F. Richard Yu

Carleton University

Publications: 43

Victor C. M. Leung

Victor C. M. Leung

Shenzhen University

Publications: 33

Jiangzhou Wang

Jiangzhou Wang

University of Kent

Publications: 24

Yuanwei Liu

Yuanwei Liu

University of Hong Kong

Publications: 23

Jun Li

Jun Li

Nanjing University of Science and Technology

Publications: 23

Junjuan Xia

Junjuan Xia

Guangzhou University

Publications: 22

Rui Zhang

Rui Zhang

National University of Singapore

Publications: 22

Dusit Niyato

Dusit Niyato

Nanyang Technological University

Publications: 22

Zhu Han

Zhu Han

University of Houston

Publications: 21

Ying-Chang Liang

Ying-Chang Liang

University of Electronic Science and Technology of China

Publications: 19

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 17

Feng Li

Feng Li

Shandong University

Publications: 17

Geoffrey Ye Li

Geoffrey Ye Li

Imperial College London

Publications: 15

Arumugam Nallanathan

Arumugam Nallanathan

Queen Mary University of London

Publications: 15

Zhiguo Ding

Zhiguo Ding

Nanyang Technological University

Publications: 14

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