World's Best Scientists 2026 revealed!
Award Badge
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 76 643 616 100 100 555 22901
Computer Science 80 1083 1048 154 152 594 25485

Kwang-Ting Cheng publications per year

The chart shows the history of publications by Kwang-Ting Cheng between 1979 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kwang-Ting Cheng published across 47 years, from 1979 to 2025, averaging 17.2 papers a year. Output peaked at 60 publications in 2024. 104 of the 808 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1979 to 2025. Vertical axis: number of publications, 0 to 60. Peak 60 publications in 2024. 1979: 1 publication 1980: 0 publications 1981: 0 publications 1982: 1 publication 1983: 0 publications 1984: 1 publication 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 5 publications 1989: 8 publications 1990: 13 publications 1991: 7 publications 1992: 7 publications 1993: 11 publications 1994: 7 publications 1995: 15 publications 1996: 21 publications 1997: 16 publications 1998: 28 publications 1999: 17 publications 2000: 28 publications 2001: 21 publications 2002: 19 publications 2003: 24 publications 2004: 27 publications 2005: 25 publications 2006: 26 publications 2007: 18 publications 2008: 18 publications 2009: 21 publications 2010: 24 publications 2011: 19 publications 2012: 12 publications 2013: 9 publications 2014: 17 publications 2015: 25 publications 2016: 15 publications 2017: 19 publications 2018: 20 publications 2019: 27 publications 2020: 20 publications 2021: 24 publications 2022: 36 publications 2023: 52 publications 2024: 60 publications 2025: 44 publications
1979 2025

808 publications in total across all disciplines

View publications per year as a table
Kwang-Ting Cheng: publications per year, 1979 to 2025
Year Publications
1979 1
1980 0
1981 0
1982 1
1983 0
1984 1
1985 0
1986 0
1987 0
1988 5
1989 8
1990 13
1991 7
1992 7
1993 11
1994 7
1995 15
1996 21
1997 16
1998 28
1999 17
2000 28
2001 21
2002 19
2003 24
2004 27
2005 25
2006 26
2007 18
2008 18
2009 21
2010 24
2011 19
2012 12
2013 9
2014 17
2015 25
2016 15
2017 19
2018 20
2019 27
2020 20
2021 24
2022 36
2023 52
2024 60
2025 44
Total 808
Download as CSV

Kwang-Ting Cheng 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 Kwang-Ting Cheng 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, 554–573 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: 555 publications — 88th percentile

88% 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 75 555
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
Download as CSV

Kwang-Ting Cheng 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 Kwang-Ting Cheng 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, 76 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: 76 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 76
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

Research.com Recognitions

  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2000 - IEEE Fellow For contributions to innovative techniques for testing and synthesis of electronic circuits.

Overview

Kwang-Ting Cheng is affiliated with the Hong Kong University of Science and Technology in China. Their research spans multiple fields, primarily focusing on computer science, engineering, and medicine. Cheng's work has been published extensively in areas including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, radiology, nuclear medicine and imaging, and biomedical engineering.

Their main research topics cover advanced neural network applications, AI in cancer detection, radiomics and machine learning in medical imaging, domain adaptation and few-shot learning, advanced memory and neural computing, medical image segmentation techniques, and COVID-19 diagnosis using AI.

Cheng has authored numerous papers, including notable recent publications such as:

  • The 2021 flexible and printed electronics roadmap (2021), published in Flexible and Printed Electronics
  • Roadmap on emerging hardware and technology for machine learning (2020), published in Nanotechnology
  • Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Variation-Aware Federated Learning With Multi-Source Decentralized Medical Image Data (2020), published in IEEE Journal of Biomedical and Health Informatics
  • Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators of Cheng include Hao Chen with 30 joint publications, Zengqiang Yan with 25, Zechun Liu with 24, Xin Yang with 20, and Zhiqiang Shen with 16 publications together.

Their work has been regularly featured in prominent venues, with a strong presence in:

  • arXiv (Cornell University) with 91 publications
  • IEEE Transactions on Medical Imaging with 10 publications
  • Medical Image Analysis with 6 publications
  • IEEE Journal of Biomedical and Health Informatics with 5 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 4 publications

Kwang-Ting Cheng received the IEEE Fellow award in 2000 for contributions to innovative techniques for testing and synthesis of electronic circuits.

Best Publications

  • Fast Human Detection Using a Cascade of Histograms of Oriented Gradients

    Qiang Zhu;Mei-Chen Yeh;Kwang-Ting Cheng;S. Avidan

  • Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm

    Zechun Liu;Baoyuan Wu;Wenhan Luo;Xin Yang

  • MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning

    Zechun Liu;Haoyuan Mu;Xiangyu Zhang;Zichao Guo

  • Biocompatible and totally disintegrable semiconducting polymer for ultrathin and ultralightweight transient electronics

    Ting Lei;Ming Guan;Jia Liu;Hung-Cheng Lin

  • A partial scan method for sequential circuits with feedback

    K.-T. Cheng;V.D. Agrawal

  • Delay fault testing for VLSI circuits

    Angela Krstić;Kwang-Ting Cheng

  • Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation

    Zengqiang Yan;Xin Yang;Kwang-Ting Cheng

  • Automatic Functional Test Generation Using The Extended Finite State Machine Model

    Kwang Ting Cheng;A. S. Krishnakumar

  • ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

    Zechun Liu;Zhiqiang Shen;Marios Savvides;Kwang-Ting Cheng

  • A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation

    Zengqiang Yan;Xin Yang;Kwang-Ting Cheng

  • Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data

    Shichao Li;Lei Ke;Kevin Pratama;Yu-Wing Tai

  • Electronic Design Automation: Synthesis, Verification, and Test

    Laung-Terng Wang;Yao-Wen Chang;Kwang-Ting (Tim) Cheng

  • Pseudo-CMOS: A Design Style for Low-Cost and Robust Flexible Electronics

    Tsung-Ching Huang;K Fukuda;Chun-Ming Lo;Yung-Hui Yeh

  • Automatic generation of functional vectors using the extended finite state machine model

    Kwang-Ting Cheng;A. S. Krishnakumar

  • A BIST scheme for on-chip ADC and DAC testing

    Jiun-Lang Huang;Chee-Kian Ong;Kwang-Ting Cheng

  • Classification and identification of nonrobust untestable path delay faults

    K.-T. Cheng;H.-C. Chen

  • False-path-aware statistical timing analysis and efficient path selection for delay testing and timing validation

    Jing-Jia Liou;Angela Krstic;Li-C. Wang;Kwang-Ting Cheng

  • Low-voltage high-performance flexible digital and analog circuits based on ultrahigh-purity semiconducting carbon nanotubes.

    Ting Lei;Lei-Lai Shao;Yu-Qing Zheng;Gregory Pitner

  • Local Difference Binary for Ultrafast and Distinctive Feature Description

    Xin Yang;Kwang-Ting Cheng

  • Delay testing for non-robust untestable circuits

    K.-T. Cheng;H.-C. Chen

  • Perturb and simplify: multilevel Boolean network optimizer

    Shih-Chieh Chang;M. Marek-Sadowska;Kwang-Ting Cheng

  • Combinational and sequential logic optimization by redundancy addition and removal

    L.A. Entrena;Kwang-Ting Cheng

  • Fundamentals of algorithms

    Unknown

Frequent Co-Authors

Vishwani D. Agrawal
Vishwani D. Agrawal Auburn University
Raymond G. Beausoleil
Raymond G. Beausoleil Hewlett-Packard (United States)
Ting Lei
Ting Lei Peking University
Malgorzata Marek-Sadowska
Malgorzata Marek-Sadowska University of California, Santa Barbara
Zhenan Bao
Zhenan Bao Stanford University
John E. Bowers
John E. Bowers University of California, Santa Barbara
Srimat T. Chakradhar
Srimat T. Chakradhar NEC (United States)
Cheng-Wen Wu
Cheng-Wen Wu National Tsing Hua University
Dmitri B. Strukov
Dmitri B. Strukov University of California, Santa Barbara
Madhavan Swaminathan
Madhavan Swaminathan Pennsylvania State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, exploring related online degrees can expand career opportunities and skill sets. Many professionals start with short certificate programs that pay well online, which offer quick pathways to in-demand technical skills without a lengthy time commitment.

In addition to technical expertise, project management skills are highly valued in engineering roles. Pursuing the quickest online project management degree can help professionals transition into leadership positions efficiently, balancing engineering knowledge with strategic oversight.

For those aiming to develop robust management abilities, a bachelor of project management may be a strong option. This degree supports career growth beyond technical roles into operational and managerial functions within engineering sectors.

Moreover, many engineering roles suit individuals who prefer focused, independent work. Exploring the high paying careers for introverts can reveal niches that leverage analytical and technical strengths, aligning well with many positions in electronics and electrical engineering.

Best Scientists Citing Kwang-Ting Cheng

Trending Scientists

Recently Published Articles