World's Best Scientists 2026 revealed!
Jianshi Tang

Jianshi Tang

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
11182
World Ranking
3659
National Ranking
581

Jianshi Tang 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 Jianshi Tang sits on this spectrum.

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 publications 1,065+

This scientist: 175 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Jianshi Tang 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 Jianshi Tang sits on this spectrum.

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: 44 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Jianshi Tang is affiliated with Tsinghua University in China and has a significant publication record focused on engineering, particularly electrical and electronic engineering. Their body of work spans various subfields including cellular and molecular neuroscience, artificial intelligence, materials chemistry, and cognitive neuroscience.

Their research topics emphasize advanced memory and neural computing, ferroelectric and negative capacitance devices, semiconductor materials and devices, neuroscience and neural engineering, neural networks and reservoir computing, neural dynamics and brain function, as well as CCD and CMOS imaging sensors.

Frequent publication venues for Tang include:

  • Nature Communications
  • IEEE Transactions on Electron Devices
  • Nature Electronics
  • arXiv (Cornell University)
  • Advanced Functional Materials

Tang has coauthored many papers with several researchers, including Huaqiang Wu, Bin Gao, He Qian, Qingtian Zhang, and Peng Yao.

Among recent papers by Jianshi Tang are:

  • Fully hardware-implemented memristor convolutional neural network, 2020, Nature
  • Neuro-inspired computing chips, 2020, Nature Electronics
  • Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing, 2021, Nature Communications
  • Reliability of analog resistive switching memory for neuromorphic computing, 2020, Applied Physics Reviews
  • Edge learning using a fully integrated neuro-inspired memristor chip, 2023, Science

Best Publications

  • Fully hardware-implemented memristor convolutional neural network

    Peng Yao;Huaqiang Wu;Bin Gao;Jianshi Tang

  • Neuro-inspired computing chips

    Wenqiang Zhang;Bin Gao;Jianshi Tang;Peng Yao

  • Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges.

    Jianshi Tang;Fang Yuan;Xinke Shen;Zhongrui Wang

  • Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing.

    Yanan Zhong;Jianshi Tang;Xinyi Li;Bin Gao

  • Enhanced charge carrier mobility in two-dimensional high dielectric molybdenum oxide.

    Sivacarendran Balendhran;Junkai Deng;Jian Zhen Ou;Sumeet Walia

  • Reliability of analog resistive switching memory for neuromorphic computing

    Meiran Zhao;Bin Gao;Jianshi Tang;He Qian

  • Synthesis of nanometre-thick MoO3 sheets

    Kourosh Kalantar-zadeh;Kourosh Kalantar-zadeh;Jianshi Tang;Minsheng Wang;Kang L. Wang

  • 33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing

    Qi Liu;Bin Gao;Peng Yao;Dong Wu

  • Electric-field control of spin–orbit torque in a magnetically doped topological insulator

    Yabin Fan;Xufeng Kou;Pramey Upadhyaya;Qiming Shao

  • End-bonded contacts for carbon nanotube transistors with low, size-independent resistance.

    Qing Cao;Shu-Jen Han;Jerry Tersoff;Aaron D. Franklin

  • Carbon nanotube/polyaniline composite nanofibers: facile synthesis and chemosensors.

    Yaozu Liao;Chen Zhang;Ya Zhang;Veronica Strong

  • Power-efficient neural network with artificial dendrites.

    Xinyi Li;Jianshi Tang;Qingtian Zhang;Bin Gao

  • Large-Area High-Performance Flexible Pressure Sensor with Carbon Nanotube Active Matrix for Electronic Skin

    Luca Nela;Jianshi Tang;Qing Cao;George S. Tulevski

  • Physically unclonable cryptographic primitives using self-assembled carbon nanotubes

    Zhaoying Hu;Jose Miguel M. Lobez Comeras;Hongsik Park;Hongsik Park;Jianshi Tang

  • Electrical Detection of Spin-Polarized Surface States Conduction in (Bi0.53Sb0.47)2Te3 Topological Insulator

    Jianshi Tang;Li-Te Chang;Xufeng Kou;Koichi Murata

  • Electric-field-controlled ferromagnetism in high-Curie-temperature Mn0.05Ge0.95 quantum dots.

    Faxian Xiu;Yong Wang;Jiyoung Kim;Augustin Hong

  • In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective

    Yue Xi;Bin Gao;Jianshi Tang;An Chen

  • Flexible CMOS integrated circuits based on carbon nanotubes with sub-10 ns stage delays

    Jianshi Tang;Qing Cao;George Tulevski;Keith A. Jenkins

  • Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces

    Zhengwu Liu;Jianshi Tang;Bin Gao;Peng Yao

  • Gate-controlled surface conduction in Na-doped Bi2Te3 topological insulator nanoplates.

    Yong Wang;Yong Wang;Yong Wang;Faxian Xiu;Lina Cheng;Liang He

  • High-speed logic integrated circuits with solution-processed self-assembled carbon nanotubes

    Shu-Jen Han;Jianshi Tang;Bharat Kumar;Abram Falk

  • Vertical Graphene-Base Hot-Electron Transistor

    Caifu Zeng;Emil B. Song;Emil B. Song;Minsheng Wang;Sejoon Lee;Sejoon Lee

Frequent Co-Authors

Kang L. Wang
Kang L. Wang University of California, Los Angeles
He Qian
He Qian Tsinghua University
Huaqiang Wu
Huaqiang Wu Tsinghua University
Bin Gao
Bin Gao Xi'an Jiaotong University
Shu-Jen Han
Shu-Jen Han IBM (United States)
Qing Cao
Qing Cao IBM (United States)
Lih-Juann Chen
Lih-Juann Chen National Tsing Hua University
Faxian Xiu
Faxian Xiu Fudan University
Damon B. Farmer
Damon B. Farmer IBM (United States)
Yuegang Zhang
Yuegang Zhang Tsinghua University

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, expanding skill sets through complementary online degrees can enhance career opportunities. Project management is a vital skill in engineering projects, and many choose to explore online accelerated project management degree programs to quickly gain leadership and organizational expertise.

Additionally, a project management bachelor degree online offers a structured way to build foundational knowledge in managing complex technical projects, often complementing an engineering background for a hybrid skill set.

Working professionals in electronics and electrical engineering may find accelerated online degree programs particularly beneficial. These programs allow students to balance education with career demands, fast-tracking degree completion without compromising quality.

Lastly, an instructional design degree online can open pathways into educational technology and training roles, where engineering experts develop technical curricula or e-learning tools, merging their technical expertise with instructional skills.

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