World's Best Scientists 2026 revealed!
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Jiannong Cao
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Computer Science
China
2023

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 77 606 581 95 95 864 24120
Computer Science 84 855 824 127 125 1052 27685

Jiannong Cao publications per year

The chart shows the history of publications by Jiannong Cao between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jiannong Cao published across 34 years, from 1992 to 2025, averaging 38.7 papers a year. Output peaked at 99 publications in 2024. 191 of the 1,315 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 99. Peak 99 publications in 2024. 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 4 publications 1996: 8 publications 1997: 9 publications 1998: 3 publications 1999: 10 publications 2000: 5 publications 2001: 20 publications 2002: 16 publications 2003: 34 publications 2004: 49 publications 2005: 54 publications 2006: 50 publications 2007: 61 publications 2008: 43 publications 2009: 48 publications 2010: 58 publications 2011: 43 publications 2012: 53 publications 2013: 42 publications 2014: 41 publications 2015: 55 publications 2016: 51 publications 2017: 56 publications 2018: 46 publications 2019: 45 publications 2020: 44 publications 2021: 53 publications 2022: 59 publications 2023: 63 publications 2024: 99 publications 2025: 92 publications
1992 2025

1,315 publications in total across all disciplines

View publications per year as a table
Jiannong Cao: publications per year, 1992 to 2025
Year Publications
1992 1
1993 0
1994 0
1995 4
1996 8
1997 9
1998 3
1999 10
2000 5
2001 20
2002 16
2003 34
2004 49
2005 54
2006 50
2007 61
2008 43
2009 48
2010 58
2011 43
2012 53
2013 42
2014 41
2015 55
2016 51
2017 56
2018 46
2019 45
2020 44
2021 53
2022 59
2023 63
2024 99
2025 92
Total 1,315
Download as CSV

Jiannong Cao 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 Jiannong Cao 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, 854–873 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: 864 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 20 864
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

Jiannong Cao 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 Jiannong Cao 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, 77 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: 77 D-Index — 91st percentile

91% 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
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35 77
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

Research.com Recognitions

  • 2023 - Research.com Computer Science in China Leader Award
  • 2017 - ACM Distinguished Member
  • 2015 - IEEE Fellow For contributions to distributed computing in mobile wireless networks

Overview

Jiannong Cao is affiliated with Hong Kong Polytechnic University in China. Their research primarily spans the fields of Computer Science and Engineering, with a substantial portfolio of publications in these areas.

Their work focuses on several subfields, including:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Electrical and Electronic Engineering

Key research topics covered by Jiannong Cao include:

  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Advanced Graph Neural Networks
  • Blockchain Technology Applications and Security
  • Indoor and Outdoor Localization Technologies
  • Human Mobility and Location-Based Analysis
  • Traffic Prediction and Management Techniques

Jiannong Cao has a notable publication record that includes recent papers such as:

  • Deep Learning for Spatio-Temporal Data Mining: A Survey (2020), published in IEEE Transactions on Knowledge and Data Engineering
  • Generative Adversarial Networks (GANs) (2021), published in ACM Computing Surveys
  • Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions (2022), published in ACM Computing Surveys
  • PDPChain: A Consortium Blockchain-Based Privacy Protection Scheme for Personal Data (2022), published in IEEE Transactions on Reliability
  • Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing (2020), published in IEEE Transactions on Parallel and Distributed Systems

Frequent co-authors collaborating with Jiannong Cao include:

  • Divya Saxena
  • Lei Yang
  • Yuvraj Sahni
  • Jiaxing Shen
  • Senzhang Wang

Jiannong Cao publishes regularly in a variety of venues, with an emphasis on journals and proceedings such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Knowledge and Data Engineering

In addition to journal publications, Jiannong Cao has authored books, including:

  • Wireless Sensing (2022), published by Springer International Publishing
  • Blended Learning: Engaging Students in the New Normal Era (2022), published by Springer Science+Business Media

Jiannong Cao has been recognized with awards such as the ACM Distinguished Member in 2017 and was named an IEEE Fellow in 2015 for contributions to distributed computing in mobile wireless networks.

Best Publications

  • Deep Learning for Spatio-Temporal Data Mining: A Survey

    Senzhang Wang;Jiannong Cao;Philip S. Yu

  • Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions

    Divya Saxena;Jiannong Cao

  • A framework for partitioning and execution of data stream applications in mobile cloud computing

    Lei Yang;Jiannong Cao;Yin Yuan;Tao Li

  • Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks

    Mike Jia;Jiannong Cao;Weifa Liang

  • A dynamic user authentication scheme for wireless sensor networks

    K.H.M. Wong;Yuan Zheng;Jiannong Cao;Shengwei Wang

  • BlocHIE: A BLOCkchain-Based Platform for Healthcare Information Exchange

    Shan Jiang;Jiannong Cao;Hanqing Wu;Yanni Yang

  • Non-Invasive Detection of Moving and Stationary Human With WiFi

    Chenshu Wu;Zheng Yang;Zimu Zhou;Xuefeng Liu

  • Multiple Populations for Multiple Objectives: A Coevolutionary Technique for Solving Multiobjective Optimization Problems

    Zhi-Hui Zhan;Jingjing Li;Jiannong Cao;Jun Zhang

  • Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals

    Xuefeng Liu;Jiannong Cao;Shaojie Tang;Jiaqi Wen

  • An Intelligent Car Park Management System based on Wireless Sensor Networks

    V.W.S. Tang;Yuan Zheng;Jiannong Cao

  • An energy-aware routing protocol in wireless sensor networks

    Ming Liu;Jiannong Cao;Guihai Chen;Xiaomin Wang

  • Middleware for Wireless Sensor Networks: A Survey

    Miao Miao Wang;Miao Miao Wang;Jiannong Cao;Jing Li;Sajal K. Dasi

  • Named data networking : a survey

    Divya Saxena;Vaskar Raychoudhury;Neeraj Suri;Christian Becker

  • Contactless Respiration Monitoring Via Off-the-Shelf WiFi Devices

    Xuefeng Liu;Jiannong Cao;Shaojie Tang;Jiaqi Wen

  • Multi-User Computation Partitioning for Latency Sensitive Mobile Cloud Applications

    Lei Yang;Jiannong Cao;Hui Cheng;Yusheng Ji

  • Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions

    Unknown

  • Cost Aware Service Placement and Load Dispatching in Mobile Cloud Systems

    Lei Yang;Jiannong Cao;Guanqing Liang;Xu Han

  • PDPChain: A Consortium Blockchain-Based Privacy Protection Scheme for Personal Data

    Unknown

  • Deploying Wireless Sensor Networks with Fault-Tolerance for Structural Health Monitoring

    Zakirul Alam Bhuiyan;Guojun Wang;Jiannong Cao;Jie Wu

  • Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System

    Binbin Zhou;Jiannong Cao;Xiaoqin Zeng;Hejun Wu

  • Dependable Structural Health Monitoring Using Wireless Sensor Networks

    Zakirul Alam Bhuiyan;Guojun Wang;Jie Wu;Jiannong Cao

  • SDVN: enabling rapid network innovation for heterogeneous vehicular communication

    Zongjian He;Jiannong Cao;Xuefeng Liu

Frequent Co-Authors

Guojun Wang
Guojun Wang Guangzhou University
Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Keith C. C. Chan
Keith C. C. Chan Hong Kong Polytechnic University
Lei Yang
Lei Yang Hong Kong Polytechnic University
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Shaojie Tang
Shaojie Tang The University of Texas at Dallas
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Jie Wu
Jie Wu Temple University
Jian Lu
Jian Lu Nanjing University
Michel Raynal
Michel Raynal Institut de Recherche en Informatique et Systèmes Aléatoires

External Links

Personal website of Jiannong Cao Google Scholar page

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Best Scientists Citing Jiannong Cao

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Zakirul Alam Bhuiyan

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Zhi-Hui Zhan

Zhi-Hui Zhan

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Minyi Guo

Minyi Guo

Shanghai Jiao Tong University

Publications: 35

Yunhao Liu

Yunhao Liu

Tsinghua University

Publications: 30

Song Guo

Song Guo

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Publications: 27

Sanglu Lu

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Daqing Zhang

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Weijia Jia

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