| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 54 | 2274 | 2181 | 67 | 64 | 312 | 11702 |
| Computer Science | 54 | 4594 | 4465 | 205 | 198 | 324 | 11066 |
The chart shows the history of publications by Gordon Cheng between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gordon Cheng published across 30 years, from 1996 to 2025, averaging 13.4 papers a year. Output peaked at 27 publications in 2025. 43 of the 403 publications appeared in the last two years.
403 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1996 | 1 |
| 1997 | 1 |
| 1998 | 4 |
| 1999 | 0 |
| 2000 | 6 |
| 2001 | 3 |
| 2002 | 1 |
| 2003 | 10 |
| 2004 | 22 |
| 2005 | 12 |
| 2006 | 12 |
| 2007 | 17 |
| 2008 | 18 |
| 2009 | 3 |
| 2010 | 7 |
| 2011 | 12 |
| 2012 | 19 |
| 2013 | 12 |
| 2014 | 24 |
| 2015 | 25 |
| 2016 | 20 |
| 2017 | 20 |
| 2018 | 21 |
| 2019 | 26 |
| 2020 | 24 |
| 2021 | 11 |
| 2022 | 11 |
| 2023 | 18 |
| 2024 | 16 |
| 2025 | 27 |
| Total | 403 |
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 Gordon Cheng sits on this spectrum.
This scientist: 312 publications — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
| 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 | 312 |
| 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 |
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 Gordon Cheng sits on this spectrum.
This scientist: 54 D-Index — 68th percentile
68% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
| 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 | 54 |
| 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 |
Gordon Cheng is affiliated with the Technical University of Munich in Germany. Their research spans the intersecting fields of neuroscience and engineering, with a notable contribution to subfields such as cognitive neuroscience, biomedical engineering, cellular and molecular neuroscience, social psychology, and control and systems engineering.
The main topics explored in their work include EEG and brain-computer interfaces, muscle activation and electromyography studies, neural dynamics and brain function, neuroscience and neural engineering, prosthetics and rehabilitation robotics, advanced sensor and energy harvesting materials, and robot manipulation and learning.
Recent publications by Gordon Cheng include:
Frequent co-authors collaborating with Cheng include:
Their published work is commonly featured in venues such as IEEE Robotics and Automation Letters, Scientific Reports, Advanced Intelligent Systems, arXiv (Cornell University), and IEEE Transactions on Medical Robotics and Bionics.
Gordon Cheng has been recognized as an IEEE Fellow since 2017 for contributions in humanoid robotics systems and neurorobotics.
Sunghoon Lee;Sae Franklin;Faezeh Arab Hassani;Tomoyuki Yokota
Jun Nakanishi;Jun Morimoto;Gen Endo;Gordon Cheng
Ravinder S. Dahiya;Philipp Mittendorfer;Maurizio Valle;Gordon Cheng
Sang-Ho Hyon;J.G. Hale;G. Cheng
P Mittendorfer;G Cheng
G. Cheng;Sang-Ho Hyon;J. Morimoto;A. Ude
Gen Endo;Jun Morimoto;Takamitsu Matsubara;Jun Nakanishi
Aude Billard;Aude Billard;Yann Epars;Sylvain Calinon;Stefan Schaal
Cheng Gordon;Endo Gen;Kawato Mitsuo;Morimoto Jun
Gen Endo;Jun Nakanishi;Jun Morimoto;G. Cheng
Nivasan Yogeswaran;Wenting Dang;William Navaraj;Dhayalan Shakthivel
Gordon Cheng;Emmanuel Dean-Leon;Florian Bergner;Julio Rogelio Guadarrama Olvera
Zied Tayeb;Juri Fedjaev;Nejla Ghaboosi;Christoph Richter
J. Morimoto;G. Endo;J. Nakanishi;G. Cheng
G. Endo;J. Morimoto;J. Nakanishi;G. Cheng
Darrin C. Bentivegna;Christopher G. Atkeson;Gordon Cheng
Karinne Ramirez-Amaro;Michael Beetz;Gordon Cheng
J. Morimoto;G. Cheng;C.G. Atkeson;G. Zeglin
Pablo Lanillos;Daniel Oliva;Anja Philippsen;Yuichi Yamashita
Philipp Mittendorfer;Eiichi Yoshida;Gordon Cheng
Thierry Chaminade;Delphine Rosset;David Da Fonseca;Bruno Nazarian
Thierry Chaminade;Gordon Cheng
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For students interested in Electronics and Electrical Engineering, exploring related online degrees can open up diverse career pathways. Many professionals find that combining technical expertise with management skills enhances their prospects. For example, pursuing a accelerated project management degree allows you to fast-track your education while developing key leadership abilities.
Working adults often benefit from accelerated degree programs for working adults, which offer flexible schedules and practical coursework tailored to busy lifestyles. Such programs help you balance work, study, and personal commitments efficiently.
If you prefer structured education, a bachelor's degree in project management can complement your engineering foundation, preparing you for roles that require overseeing complex technical projects from start to finish.
Additionally, if you identify as an introvert, it’s encouraging to know that the field offers many opportunities suited to your strengths. Check out the best jobs for introverts to find roles where your analytical skills and independent work style are highly valued.
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