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Computer Science
China
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 90 295 287 48 48 1210 32748

Tao Jiang publications per year

The chart shows the history of publications by Tao Jiang between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tao Jiang published across 39 years, from 1987 to 2025, averaging 41.2 papers a year. Output peaked at 373 publications in 2021. 19 of the 1,607 publications appeared in the last two years.

No. of publications
100 200 300
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 373. Peak 373 publications in 2021. 1987: 1 publication 1988: 4 publications 1989: 2 publications 1990: 2 publications 1991: 6 publications 1992: 3 publications 1993: 5 publications 1994: 6 publications 1995: 5 publications 1996: 9 publications 1997: 5 publications 1998: 5 publications 1999: 5 publications 2000: 5 publications 2001: 6 publications 2002: 10 publications 2003: 9 publications 2004: 11 publications 2005: 18 publications 2006: 19 publications 2007: 17 publications 2008: 35 publications 2009: 38 publications 2010: 46 publications 2011: 50 publications 2012: 62 publications 2013: 55 publications 2014: 80 publications 2015: 101 publications 2016: 109 publications 2017: 113 publications 2018: 157 publications 2019: 105 publications 2020: 97 publications 2021: 373 publications 2022: 5 publications 2023: 9 publications 2024: 12 publications 2025: 7 publications
1987 2025

1,607 publications in total across all disciplines

View publications per year as a table
Tao Jiang: publications per year, 1987 to 2025
Year Publications
1987 1
1988 4
1989 2
1990 2
1991 6
1992 3
1993 5
1994 6
1995 5
1996 9
1997 5
1998 5
1999 5
2000 5
2001 6
2002 10
2003 9
2004 11
2005 18
2006 19
2007 17
2008 35
2009 38
2010 46
2011 50
2012 62
2013 55
2014 80
2015 101
2016 109
2017 113
2018 157
2019 105
2020 97
2021 373
2022 5
2023 9
2024 12
2025 7
Total 1,607
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Tao Jiang 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 Tao Jiang 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, 1,065+ 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: 1,210 publications — 99th percentile

99% 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
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 1,210
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Tao Jiang 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 Tao Jiang 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, 90 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: 90 D-Index — 96th percentile

96% 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
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 90
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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Research.com Recognitions

  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Tao Jiang is affiliated with Huazhong University of Science and Technology in China and has a research focus primarily in the fields of Engineering and Computer Science. Their work spans several subfields, including Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Surgery, and Artificial Intelligence.

The scientist's research topics include:

  • Advanced MIMO Systems Optimization
  • Cooperative Communication and Network Coding
  • Advanced Wireless Communication Technologies
  • Millimeter-Wave Propagation and Modeling
  • Energy Harvesting in Wireless Networks
  • Advanced Wireless Communication Techniques
  • Error Correcting Code Techniques

Frequent publication venues for Tao Jiang include:

  • Digital Communications and Networks
  • IEEE Transactions on Vehicular Technology
  • arXiv (Cornell University)
  • Resources Policy
  • IEEE Internet of Things Journal

Among recent published papers are:

  • "Carbon emissions of 5G mobile networks in China," 2023, Nature Sustainability
  • "Hybrid Precoding for WideBand Millimeter Wave MIMO Systems in the Face of Beam Squint," 2020, IEEE Transactions on Wireless Communications
  • "Does improved digital governance in government promote natural resource management? Quasi-natural experiments based on smart city pilots," 2024, Resources Policy
  • "A Joint Hybrid Precoding/Combining Scheme Based on Equivalent Channel for Massive MIMO Systems," 2022, IEEE Journal on Selected Areas in Communications
  • "Reinforcement Learning Meets Wireless Networks: A Layering Perspective," 2020, IEEE Internet of Things Journal

Tao Jiang has collaborated frequently with the following researchers:

  • Lixia Xiao
  • Guanghua Liu
  • Qiwei Hu
  • Da Chen
  • Jiaxi Zhou

Best Publications

  • An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM Signals

    Tao Jiang;Yiyan Wu

  • On the Complexity of Multiple Sequence Alignment

    Lusheng Wang;Tao Jiang

  • Sparse whole-genome sequencing identifies two loci for major depressive disorder

    Na Cai;Tim B. Bigdeli;Warren Kretzschmar;Yihan Li

  • Deep learning for wireless physical layer: Opportunities and challenges

    Tianqi Wang;Chao-Kai Wen;Hanqing Wang;Feifei Gao

  • Exponential companding technique for PAPR reduction in OFDM systems

    Tao Jiang;Yang Yang;Yong-Hua Song

  • Linear approximation of shortest superstrings

    Avrim Blum;Tao Jiang;Ming Li;John Tromp

  • Minimal NFA problems are hard

    Tao Jiang;B. Ravikumar

  • Deep Reinforcement Learning for Smart Home Energy Management

    Liang Yu;Weiwei Xie;Di Xie;Yulong Zou

  • ChemmineR: a compound mining framework for R

    Yiqun Cao;Anna Charisi;Li-Chang Cheng;Tao Jiang

  • Frequent mutations of genes encoding ubiquitin-mediated proteolysis pathway components in clear cell renal cell carcinoma

    Guangwu Guo;Yaoting Gui;Shengjie Gao;Aifa Tang;Aifa Tang

  • Resequencing of 200 human exomes identifies an excess of low-frequency non-synonymous coding variants

    Yingrui Li;Nicolas Vinckenbosch;Geng Tian;Emilia Huerta-Sanchez

  • A Review of Deep Reinforcement Learning for Smart Building Energy Management

    Liang Yu;Shuqi Qin;Meng Zhang;Chao Shen

  • Nonlinear companding transform for reducing peak-to-average power ratio of OFDM signals

    Tao Jiang;Guangxi Zhu

  • On the complexity of comparing evolutionary trees

    Jotun Hein;Tao Jiang;Lusheng Wang;Kaizhong Zhang

  • Super‐Durable, Low‐Wear, and High‐Performance Fur‐Brush Triboelectric Nanogenerator for Wind and Water Energy Harvesting for Smart Agriculture

    Pengfei Chen;Jie An;Sheng Shu;Renwei Cheng

  • Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings

    Liang Yu;Yi Sun;Zhanbo Xu;Chao Shen

  • On the Approximation of Shortest Common Supersequencesand Longest Common Subsequences

    Tao Jiang;Ming Li

  • A general edit distance between RNA structures.

    Tao Jiang;Guohui Lin;Bin Ma;Kaizhong Zhang

  • Learning to Reflect and to Beamform for Intelligent Reflecting Surface With Implicit Channel Estimation

    Tao Jiang;Hei Victor Cheng;Wei Yu

  • A maximum common substructure-based algorithm for searching and predicting drug-like compounds

    Yiqun Cao;Tao Jiang;Thomas Girke

  • Multicast Broadcast Services Support in OFDMA-Based WiMAX Systems [Advances in Mobile Multimedia]

    Tao Jiang;Weidong Xiang;Hsiao-Hwa Chen;Qiang Ni

  • Edge Computing Framework for Cooperative Video Processing in Multimedia IoT Systems

    Changchun Long;Yang Cao;Tao Jiang;Qian Zhang

  • PAPR Reduction of OFDM Signals Using Partial Transmit Sequences With Low Computational Complexity

    Tao Jiang;Weidong Xiang;P.C. Richardson;Jinhua Guo

  • Complement block coding for reduction in peak-to-average power ratio of OFDM signals

    Tao Jiang;Guangxi Zhu

  • Mobility-Aware Joint Task Scheduling and Resource Allocation for Cooperative Mobile Edge Computing

    Umber Saleem;Yu Liu;Sobia Jangsher;Yong Li

  • Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks

    Junyang Shen;Tao Jiang;Siyang Liu;Zhongshan Zhang

  • Base Station ON-OFF Switching in 5G Wireless Networks: Approaches and Challenges

    Mingjie Feng;Shiwen Mao;Tao Jiang

  • Over-the-Air Computation via Intelligent Reflecting Surfaces

    Tao Jiang;Yuanming Shi

  • Norm-adaption penalized least mean square/fourth algorithm for sparse channel estimation

    Yingsong Li;Yanyan Wang;Tao Jiang

  • A Survey of Underwater Magnetic Induction Communications: Fundamental Issues, Recent Advances, and Challenges

    Yuzhou Li;Shengnan Wang;Cheng Jin;Yu Zhang

  • High-performance triboelectric nanogenerators for self-powered, in-situ and real-time water quality mapping

    Yu Bai;Liang Xu;Chuan He;Chuan He;Laipan Zhu

  • A multimodal cell census and atlas of the mammalian primary motor cortex

    Ricky Adkins;Andrew Aldridge;Shona Allen

Frequent Co-Authors

Shiwen Mao
Shiwen Mao Auburn University
Shi Jin
Shi Jin Southeast University
Yulong Zou
Yulong Zou Nanjing University of Posts and Telecommunications
Hsiao-Hwa Chen
Hsiao-Hwa Chen National Cheng Kung University
Chonggang Wang
Chonggang Wang InterDigital (United States)
Feifei Gao
Feifei Gao Tsinghua University
Xiang-Gen Xia
Xiang-Gen Xia University of Delaware
Qi Yang
Qi Yang Huazhong University of Science and Technology
Zhu Han
Zhu Han University of Houston
Lingyang Song
Lingyang Song Peking University

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