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Wang Kang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 35 5631 5405 813 810 145 4384

Wang Kang publications per year

The chart shows the history of publications by Wang Kang between 1976 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wang Kang published across 50 years, from 1976 to 2025, averaging 4.4 papers a year. Output peaked at 31 publications in 2018. 33 of the 218 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1976 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2018. 1976: 1 publication 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 1 publication 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 0 publications 2007: 4 publications 2008: 1 publication 2009: 0 publications 2010: 1 publication 2011: 2 publications 2012: 2 publications 2013: 4 publications 2014: 18 publications 2015: 15 publications 2016: 17 publications 2017: 22 publications 2018: 31 publications 2019: 13 publications 2020: 9 publications 2021: 13 publications 2022: 13 publications 2023: 18 publications 2024: 15 publications 2025: 18 publications
1976 2025

218 publications in total across all disciplines

View publications per year as a table
Wang Kang: publications per year, 1976 to 2025
Year Publications
1976 1
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 1
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 0
2007 4
2008 1
2009 0
2010 1
2011 2
2012 2
2013 4
2014 18
2015 15
2016 17
2017 22
2018 31
2019 13
2020 9
2021 13
2022 13
2023 18
2024 15
2025 18
Total 218
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Wang Kang 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 Wang Kang 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, 134–153 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: 145 publications — 13th percentile

13% 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
134–153 355 145
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
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Wang Kang 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 Wang Kang 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, 35 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: 35 D-Index — 21st percentile

21% 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 35
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
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

Overview

Wang Kang is affiliated with Beihang University in China, focusing on research that spans engineering and computer science.

Their recent publications encompass a range of topics related to advanced materials, magnetic properties, and unconventional computing systems. Notable papers include:

  • Above Room-Temperature Ferromagnetism in Wafer-Scale Two-Dimensional van der Waals Fe3GeTe2 Tailored by a Topological Insulator, 2020, ACS Nano
  • Experimental demonstration of skyrmionic magnetic tunnel junction at room temperature, 2022, Science Bulletin
  • Stochastic Computing Implemented by Skyrmionic Logic Devices, 2020, Physical Review Applied
  • Experimental demonstration of a skyrmion-enhanced strain-mediated physical reservoir computing system, 2023, Nature Communications
  • Roadmap for unconventional computing with nanotechnology, 2024, Nano Futures

The majority of their work is published in journals related to integrated circuits, electron devices, and applied physics, including:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Transactions on Electron Devices
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • Nature Communications

Frequent collaborators in their research include:

  • Weisheng Zhao
  • He Zhang
  • Junzhan Liu
  • Biao Pan
  • Jinyu Bai

Their primary fields of study are:

  • Engineering
  • Computer Science

Subfields with significant contributions include:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Atomic and Molecular Physics, and Optics
  • Hardware and Architecture
  • Computer Networks and Communications

Research topics frequently addressed by Wang Kang cover:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Neural Networks and Reservoir Computing
  • Magnetic properties of thin films
  • Parallel Computing and Optimization Techniques
  • CCD and CMOS Imaging Sensors
  • Semiconductor materials and devices

Best Publications

  • Skyrmion-based artificial synapses for neuromorphic computing

    Kyung Mee Song;Jae-Seung Jeong;Biao Pan;Xichao Zhang

  • Magnetic skyrmion-based synaptic devices

    Yangqi Huang;Wang Kang;Xichao Zhang;Yan Zhou

  • Skyrmion-Electronics: An Overview and Outlook

    Wang Kang;Yangqi Huang;Xichao Zhang;Yan Zhou

  • Voltage Controlled Magnetic Skyrmion Motion for Racetrack Memory.

    Wang Kang;Yangqi Huang;Chentian Zheng;Weifeng Lv

  • Magnetic skyrmion-based artificial neuron device.

    Sai Li;Wang Kang;Yangqi Huang;Xichao Zhang

  • Reconfigurable Codesign of STT-MRAM Under Process Variations in Deeply Scaled Technology

    Wang Kang;Liuyang Zhang;Jacques-Olivier Klein;Youguang Zhang

  • Modeling and Exploration of the Voltage-Controlled Magnetic Anisotropy Effect for the Next-Generation Low-Power and High-Speed MRAM Applications

    Wang Kang;Yi Ran;Youguang Zhang;Weifeng Lv

  • A compact skyrmionic leaky-integrate-fire spiking neuron device.

    Xing Chen;Wang Kang;Daoqian Zhu;Xichao Zhang

  • Spintronics: Emerging Ultra-Low-Power Circuits and Systems beyond MOS Technology

    Wang Kang;Yue Zhang;Zhaohao Wang;Jacques-Olivier Klein

  • Compact Model of Subvolume MTJ and Its Design Application at Nanoscale Technology Nodes

    Yue Zhang;Bonan Yan;Wang Kang;Yuanqing Cheng

  • Voltage Controlled Magnetic Skyrmion Motion for Racetrack Memory

    Wang Kang;Yangqi Huang;Chentian Zheng;Weifeng Lv

  • Stateful Reconfigurable Logic via a Single-Voltage-Gated Spin Hall-Effect Driven Magnetic Tunnel Junction in a Spintronic Memory

    He Zhang;Wang Kang;Lezhi Wang;Kang L. Wang

  • In-Memory Processing Paradigm for Bitwise Logic Operations in STT–MRAM

    Wang Kang;Haotian Wang;Zhaohao Wang;Youguang Zhang

  • Failure Analysis in Magnetic Tunnel Junction Nanopillar with Interfacial Perpendicular Magnetic Anisotropy.

    Weisheng Zhao;Xiaoxuan Zhao;Boyu Zhang;Kaihua Cao

  • A Multilevel Cell STT-MRAM-Based Computing In-Memory Accelerator for Binary Convolutional Neural Network

    Yu Pan;Peng Ouyang;Yinglin Zhao;Wang Kang

  • Yield and Reliability Improvement Techniques for Emerging Nonvolatile STT-MRAM

    Wang Kang;Liuyang Zhang;Weisheng Zhao;Jacques-Olivier Klein

  • A radiation hardened hybrid spintronic/CMOS nonvolatile unit using magnetic tunnel junctions

    Wang kang;Wang kang;Weisheng Zhao;Weisheng Zhao;Erya Deng;Jacques-Olivier Klein

  • Separated Precharge Sensing Amplifier for Deep Submicrometer MTJ/CMOS Hybrid Logic Circuits

    Wang Kang;Erya Deng;Jacques-Olivier Klein;Yue Zhang

  • Variation-Tolerant and Disturbance-Free Sensing Circuit for Deep Nanometer STT-MRAM

    Wang Kang;Zheng Li;Jacques-Olivier Klein;Yuanqing Chen

  • Spintronic logic design methodology based on spin Hall effect–driven magnetic tunnel junctions

    Wang Kang;Zhaohao Wang;Youguang Zhang;Jacques-Olivier Klein

  • High reliability sensing circuit for deep submicron spin transfer torque magnetic random access memory

    Wang Kang;Weisheng Zhao;J.-O. Klein;Youguang Zhang

  • Stochastic Computing Implemented by Skyrmionic Logic Devices

    Haoyang Zhang;Daoqian Zhu;Wang Kang;Youguang Zhang

  • Complementary Skyrmion Racetrack Memory with Voltage Manipulation

    Wang Kang;Chentian Zheng;Yangqi Huang;Xichao Zhang

Frequent Co-Authors

Weisheng Zhao
Weisheng Zhao Beihang University
Youguang Zhang
Youguang Zhang Beihang University
Jacques-Olivier Klein
Jacques-Olivier Klein University of Paris-Saclay
Kang L. Wang
Kang L. Wang University of California, Los Angeles
Damien Querlioz
Damien Querlioz University of Paris-Saclay
Shaojun Wei
Shaojun Wei Tsinghua University
Shouyi Yin
Shouyi Yin Tsinghua University
Hai Li
Hai Li Duke University
Pierre-Antoine Albouy
Pierre-Antoine Albouy University of Paris-Saclay
Mehdi B. Tahoori
Mehdi B. Tahoori Karlsruhe Institute of Technology

External Links

Personal website of Wang Kang

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Many working professionals benefit from bachelor degree programs for working adults, which provide flexible schedules and accelerated formats. These programs allow you to gain relevant qualifications without pausing your career.

Another promising area is instructional design, especially for those interested in training and education roles within technical fields. Pursuing an instructional design degree online equips graduates to develop effective learning materials and training programs.

Additionally, many universities now offer competency based universities, where students progress by demonstrating mastery rather than time spent in class. This approach can accelerate degree completion and is ideal for self-motivated learners focused on practical skills.

Best Scientists Citing Wang Kang

Weisheng Zhao

Weisheng Zhao

Beihang University

Publications: 185

Youguang Zhang

Youguang Zhang

Beihang University

Publications: 55

Jacques-Olivier Klein

Jacques-Olivier Klein

University of Paris-Saclay

Publications: 32

Ronald F. DeMara

Ronald F. DeMara

University of Central Florida

Publications: 22

Brajesh Kumar Kaushik

Brajesh Kumar Kaushik

Indian Institute of Technology Roorkee

Publications: 22

Kang L. Wang

Kang L. Wang

University of California, Los Angeles

Publications: 21

Mehdi B. Tahoori

Mehdi B. Tahoori

Karlsruhe Institute of Technology

Publications: 18

Kaushik Roy

Kaushik Roy

Purdue University West Lafayette

Publications: 18

Damien Querlioz

Damien Querlioz

University of Paris-Saclay

Publications: 16

Said Hamdioui

Said Hamdioui

Delft University of Technology

Publications: 15

Jian-Ping Wang

Jian-Ping Wang

University of Minnesota

Publications: 14

Xuefeng Zhang

Xuefeng Zhang

Hangzhou Dianzi University

Publications: 14

Deliang Fan

Deliang Fan

Johns Hopkins University

Publications: 14

Felice Crupi

Felice Crupi

University of Calabria

Publications: 13

Takahiro Hanyu

Takahiro Hanyu

Tohoku University

Publications: 13

Sachin S. Sapatnekar

Sachin S. Sapatnekar

University of Minnesota

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