World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
6139
World Ranking
3444
National Ranking
556

Nan Sun 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 Sun 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: 193 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Nan Sun 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 Sun 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: 46 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Nan Sun is affiliated with Tsinghua University in China and specializes in engineering fields, with a significant focus on electrical and electronic engineering. Their research portfolio includes 152 publications primarily concentrated in these domains, demonstrating extensive engagement in both foundational and applied aspects of the discipline.

Sun's work covers several subfields, including:

  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Hardware and Architecture
  • Computer Networks and Communications
  • Soil Science

The key topics addressed in their research emphasize:

  • Analog and Mixed-Signal Circuit Design
  • CCD and CMOS Imaging Sensors
  • Low-power High-performance VLSI Design
  • Advancements in Semiconductor Devices and Circuit Design
  • VLSI and FPGA Design Techniques
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies

Nan Sun has contributed to multiple frequent publication venues including:

  • IEEE Journal of Solid-State Circuits
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Open Journal of the Solid-State Circuits Society
  • arXiv (Cornell University)
  • Journal of Semiconductors

Among the recent papers authored or coauthored by Nan Sun are:

  • "An Energy-Efficient Comparator With Dynamic Floating Inverter Amplifier", 2020, IEEE Journal of Solid-State Circuits
  • "Low-Power SAR ADC Design: Overview and Survey of State-of-the-Art Techniques", 2022, IEEE Transactions on Circuits and Systems I Regular Papers
  • "A 13.5-ENOB, 107-μW Noise-Shaping SAR ADC With PVT-Robust Closed-Loop Dynamic Amplifier", 2020, IEEE Journal of Solid-State Circuits
  • "An Efficient Analog Circuit Sizing Method Based on Machine Learning Assisted Global Optimization", 2021, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Surface-to-Bulk Synergistic Modification of Single Crystal Cathode Enables Stable Cycling of Sulfide-Based All-Solid-State Batteries at 4.4 V", 2022, Advanced Energy Materials

Frequent collaborators of Nan Sun include:

  • Xiyuan Tang
  • Jiaxin Liu
  • Lu Jie
  • Linxiao Shen
  • Yi Zhong

Best Publications

  • GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning

    Hanrui Wang;Kuan Wang;Jiacheng Yang;Linxiao Shen

  • An Energy-Efficient Comparator With Dynamic Floating Inverter Amplifier

    Xiyuan Tang;Linxiao Shen;Begum Kasap;Xiangxing Yang

  • Palm NMR and 1-Chip NMR

    Nan Sun;Tae-Jong Yoon;Hakho Lee;W Andress

  • CMOS RF Biosensor Utilizing Nuclear Magnetic Resonance

    Nan Sun;Yong Liu;Hakho Lee;R. Weissleder

  • Scalable NMR spectroscopy with semiconductor chips.

    Dongwan Ha;Jeffrey Paulsen;Nan Sun;Yi Qiao Song

  • A 2.75-to-75.9TOPS/W Computing-in-Memory NN Processor Supporting Set-Associate Block-Wise Zero Skipping and Ping-Pong CIM with Simultaneous Computation and Weight Updating

    Jinshan Yue;Xiaoyu Feng;Yifan He;Yuxuan Huang

  • SAR ADC architecture with 98% reduction in switching energy over conventional scheme

    A. Sanyal;Nan Sun

  • A Second-Order Noise-Shaping SAR ADC With Passive Integrator and Tri-Level Voting

    Haoyu Zhuang;Wenjuan Guo;Jiaxin Liu;He Tang

  • Modular and Reconfigurable Wireless E-Tattoos for Personalized Sensing

    Hyoyoung Jeong;Liu Wang;Taewoo Ha;Ruchika Mitbander

  • A 13-ENOB Second-Order Noise-Shaping SAR ADC Realizing Optimized NTF Zeros Using the Error-Feedback Structure

    Shaolan Li;Bo Qiao;Miguel Gandara;David Z. Pan

  • A 13.5-ENOB, 107-μW Noise-Shaping SAR ADC With PVT-Robust Closed-Loop Dynamic Amplifier

    Xiyuan Tang;Xiangxing Yang;Wenda Zhao;Chen-Kai Hsu

  • An efficient analog circuit sizing method based on machine learning assisted global optimization

    Ahmet Budak;Miguel Gandara;Wei Shi;David Pan

  • A 24-µW 11-bit 1-MS/s SAR ADC with a bidirectional single-side switching technique

    Long Chen;Arindam Sanyal;Ji Ma;Nan Sun

  • On the self-generation of electrical soliton pulses

    David S. Ricketts;Xiaofeng Li;Nan Sun;Kyoungho Woo

  • A 174.3-dB FoM VCO-Based CT $\Delta \Sigma $ Modulator With a Fully-Digital Phase Extended Quantizer and Tri-Level Resistor DAC in 130-nm CMOS

    Shaolan Li;Abhishek Mukherjee;Nan Sun

  • A 0.029-mm 2 17-fJ/Conversion-Step Third-Order CT $\Delta\Sigma$ ADC With a Single OTA and Second-Order Noise-Shaping SAR Quantizer

    Jiaxin Liu;Shaolan Li;Wenjuan Guo;Guangjun Wen

  • DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks

    Ahmet F. Budak;Prateek Bhansali;Bo Liu;Nan Sun

  • CMOS Mini Nuclear Magnetic Resonance System and its Application for Biomolecular Sensing

    Yong Liu;Nan Sun;Hakho Lee;R. Weissleder

  • Digital Background Calibration for Pipelined ADCs Based on Comparator Decision Time Quantization

    Kareem Ragab;Long Chen;Arindam Sanyal;Nan Sun

  • A 1-V 0.25- $\mu ext{W}$ Inverter Stacking Amplifier With 1.07 Noise Efficiency Factor

    Linxiao Shen;Nanshu Lu;Nan Sun

  • A Scaling-Friendly Low-Power Small-Area $\Delta\Sigma$ ADC With VCO-Based Integrator and Intrinsic Mismatch Shaping Capability

    Kyoungtae Lee;Yeonam Yoon;Nan Sun

  • Miniaturized Magnetic Resonance Systems and Methods

    Ralph Weissleder;Hakho Lee;Donhee Ham;Nan Sun

  • A 0.7-V 0.6- $\mu ext{W}$ 100-kS/s Low-Power SAR ADC With Statistical Estimation-Based Noise Reduction

    Long Chen;Xiyuan Tang;Arindam Sanyal;Yeonam Yoon

  • An Energy-Efficient Low Frequency-Dependence Switching Technique for SAR ADCs

    Arindam Sanyal;Nan Sun

  • MAGICAL: Toward Fully Automated Analog IC Layout Leveraging Human and Machine Intelligence: Invited Paper

    Biying Xu;Keren Zhu;Mingjie Liu;Yibo Lin

Frequent Co-Authors

David Z. Pan
David Z. Pan The University of Texas at Austin
Donhee Ham
Donhee Ham Harvard University
Yong Liu
Yong Liu New York University
Ralph Weissleder
Ralph Weissleder Harvard University
Nanshu Lu
Nanshu Lu The University of Texas at Austin
Zhangming Zhu
Zhangming Zhu Xidian University
Guangjun Wen
Guangjun Wen University of Electronic Science and Technology of China
Rui P. Martins
Rui P. Martins University of Macau
Yongpan Liu
Yongpan Liu Tsinghua University

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