World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 60 1618 1548 267 265 921 15021
Computer Science 61 3045 2956 410 407 1053 16407

Ping Zhang publications per year

The chart shows the history of publications by Ping Zhang between 1989 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ping Zhang published across 38 years, from 1989 to 2026, averaging 38.7 papers a year. Output peaked at 146 publications in 2025. 149 of the 1,472 publications appeared in the last two years.

No. of publications
25 50 75 100 125
Bar chart. Horizontal axis: year, 1989 to 2026. Vertical axis: number of publications, 0 to 146. Peak 146 publications in 2025. 1989: 1 publication 1990: 0 publications 1991: 1 publication 1992: 0 publications 1993: 2 publications 1994: 2 publications 1995: 2 publications 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 3 publications 2000: 1 publication 2001: 5 publications 2002: 21 publications 2003: 15 publications 2004: 22 publications 2005: 43 publications 2006: 95 publications 2007: 92 publications 2008: 68 publications 2009: 40 publications 2010: 45 publications 2011: 59 publications 2012: 63 publications 2013: 44 publications 2014: 43 publications 2015: 34 publications 2016: 38 publications 2017: 56 publications 2018: 49 publications 2019: 53 publications 2020: 40 publications 2021: 49 publications 2022: 85 publications 2023: 131 publications 2024: 120 publications 2025: 146 publications 2026: 3 publications
1989 2026

1,472 publications in total across all disciplines

View publications per year as a table
Ping Zhang: publications per year, 1989 to 2026
Year Publications
1989 1
1990 0
1991 1
1992 0
1993 2
1994 2
1995 2
1996 1
1997 0
1998 0
1999 3
2000 1
2001 5
2002 21
2003 15
2004 22
2005 43
2006 95
2007 92
2008 68
2009 40
2010 45
2011 59
2012 63
2013 44
2014 43
2015 34
2016 38
2017 56
2018 49
2019 53
2020 40
2021 49
2022 85
2023 131
2024 120
2025 146
2026 3
Total 1,472
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Ping Zhang 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 Ping Zhang 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, 914–933 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: 921 publications — 97th percentile

97% 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
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 16 921
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
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Ping Zhang 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 Ping Zhang 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, 60 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: 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.

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 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
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Overview

Ping Zhang is affiliated with Beijing University of Posts and Telecommunications in China. Their research primarily focuses on the fields of Engineering and Computer Science, with substantial contributions within the subfields of Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, and Computer Vision and Pattern Recognition.

The main topics covered in their work include:

  • Advanced Wireless Communication Technologies
  • Indoor and Outdoor Localization Technologies
  • IoT and Edge/Fog Computing
  • Wireless Signal Modulation Classification
  • Advanced MIMO Systems Optimization
  • UAV Applications and Optimization
  • Wireless Communication Security Techniques

Ping Zhang's recent publications demonstrate a focus on next-generation communication networks and applications of machine learning. Notable papers include:

  • Toward Wisdom-Evolutionary and Primitive-Concise 6G: A New Paradigm of Semantic Communication Networks, 2021, Engineering
  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts, 2020, Science China Information Sciences
  • Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images, 2021, Nature Biomedical Engineering
  • Nonlinear Transform Source-Channel Coding for Semantic Communications, 2022, IEEE Journal on Selected Areas in Communications
  • AoI-Energy-Aware UAV-Assisted Data Collection for IoT Networks: A Deep Reinforcement Learning Method, 2021, IEEE Internet of Things Journal

Frequent coauthors include:

  • Xiaodong Xu
  • Kai Niu
  • Zhiyong Feng
  • Xiaoqi Qin
  • Shujun Han

Publications are often found in a range of venues, with the most frequent being:

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

Best Publications

  • Multiuser Joint Task Offloading and Resource Optimization in Proximate Clouds

    Xinchen Lyu;Hui Tian;Cigdem Sengul;Ping Zhang

  • ConFi: Convolutional Neural Networks Based Indoor Wi-Fi Localization Using Channel State Information

    Hao Chen;Yifan Zhang;Wei Li;Xiaofeng Tao

  • Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.

    Kang Zhang;Xiaohong Liu;Jie Xu;Jie Xu;Jin Yuan

  • Nonlinear Transform Source-Channel Coding for Semantic Communications

    Unknown

  • Toward Wisdom-Evolutionary and Primitive-Concise 6G:A New Paradigm of Semantic Communication Networks

    Ping Zhang;Wenjun Xu;Hui Gao;Kai Niu

  • Energy-Efficient Admission of Delay-Sensitive Tasks for Mobile Edge Computing

    Xinchen Lyu;Hui Tian;Wei Ni;Yan Zhang

  • Cooperative Task Offloading in Three-Tier Mobile Computing Networks: An ADMM Framework

    Yue Wang;Xiaofeng Tao;Xuefei Zhang;Ping Zhang

  • Outage Performance for Cognitive Relay Networks with Underlay Spectrum Sharing

    Unknown

  • Outage performance of relay-assisted cognitive-radio system under spectrum-sharing constraints

    Y. Guo;G. Kang;N. Zhang;W. Zhou

  • Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G

    Unknown

  • Wireless Deep Video Semantic Transmission

    Unknown

  • Spatio-Temporal Wireless Traffic Prediction With Recurrent Neural Network

    Chen Qiu;Yanyan Zhang;Zhiyong Feng;Ping Zhang

  • A vision from the future: beyond 3G TDD

    Ping Zhang;Xiaofeng Tao;Jianhua Zhang;Ying Wang

  • AoI-Energy-Aware UAV-assisted Data Collection for IoT Networks: A Deep Reinforcement Learning Method

    Mengying Sun;Xiaodong Xu;Xiaoqi Qin;Ping Zhang

  • Automatic Modulation Classification of Overlapped Sources Using Multiple Cumulants

    Sai Huang;Yuanyuan Yao;Zhiqing Wei;Zhiyong Feng

  • Joint Communication, Sensing, and Computation Enabled 6G Intelligent Machine System

    Unknown

  • Cooperative Caching in Wireless P2P Networks: Design, Implementation, and Evaluation

    Jing Zhao;Ping Zhang;Guohong Cao;C.R. Das

  • WITT: A Wireless Image Transmission Transformer for Semantic Communications

    Unknown

  • A generalized QS-CDMA system and the design of new spreading codes

    Biqi Long;Ping Zhang;Jiandong Hu

  • 5G PRS-Based Sensing: A Sensing Reference Signal Approach for Joint Sensing and Communication System

    Unknown

  • 3-D MIMO: How Much Does It Meet Our Expectations Observed From Channel Measurements?

    Jianhua Zhang;Yuxiang Zhang;Yawei Yu;Ruijie Xu

  • A survey of security issues in Cognitive Radio Networks

    Jianwu Li;Zebing Feng;Zhiyong Feng;Ping Zhang

  • A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks

    Ying Wang;Peilong Li;Lei Jiao;Zhou Su

  • Recent advances on TD-SCDMA in China

    Bo Li;Dongliang Xie;Shiduan Cheng;Junliang Chen

  • Outage Probability of Decode-and-Forward Cognitive Relay in Presence of Primary User's Interference

    Wei Xu;Jianhua Zhang;Ping Zhang;Chintha Tellambura

  • Stochastic Online Learning for Mobile Edge Computing: Learning from Changes

    Qimei Cui;Zhenzhen Gong;Wei Ni;Yanzhao Hou

  • An effective approach to 5G: Wireless network virtualization

    Zhiyong Feng;Chen Qiu;Zebing Feng;Zhiqing Wei

Frequent Co-Authors

Zhiyong Feng
Zhiyong Feng Beijing University of Posts and Telecommunications
Xiaofeng Tao
Xiaofeng Tao Beijing University of Posts and Telecommunications
Hui Tian
Hui Tian Beijing University of Posts and Telecommunications
Wei Ni
Wei Ni Edith Cowan University
Yuzhen Huang
Yuzhen Huang Hong Kong University of Science and Technology
Miao Pan
Miao Pan University of Houston
Ren Ping Liu
Ren Ping Liu University of Technology Sydney
Zhu Han
Zhu Han University of Houston
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen
Changsheng You
Changsheng You Southern University of Science and Technology

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