| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 53 | 2348 | 2251 | 393 | 391 | 292 | 17719 |
The chart shows the history of publications by Xiaofan Wang between 1983 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiaofan Wang published across 43 years, from 1983 to 2025, averaging 10.9 papers a year. Output peaked at 45 publications in 2024. 77 of the 469 publications appeared in the last two years.
469 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1983 | 2 |
| 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 | 0 |
| 1997 | 0 |
| 1998 | 4 |
| 1999 | 2 |
| 2000 | 5 |
| 2001 | 5 |
| 2002 | 13 |
| 2003 | 10 |
| 2004 | 16 |
| 2005 | 7 |
| 2006 | 16 |
| 2007 | 12 |
| 2008 | 8 |
| 2009 | 14 |
| 2010 | 12 |
| 2011 | 22 |
| 2012 | 14 |
| 2013 | 28 |
| 2014 | 28 |
| 2015 | 28 |
| 2016 | 15 |
| 2017 | 18 |
| 2018 | 17 |
| 2019 | 10 |
| 2020 | 15 |
| 2021 | 17 |
| 2022 | 23 |
| 2023 | 31 |
| 2024 | 45 |
| 2025 | 32 |
| Total | 469 |
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 Xiaofan Wang sits on this spectrum.
This scientist: 292 publications — 55th percentile
55% 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 | 292 |
| 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 |
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 Xiaofan Wang sits on this spectrum.
This scientist: 53 D-Index — 66th percentile
66% 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 | 53 |
| 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 |
Xiaofan Wang is affiliated with Shanghai University in China and has focused research efforts primarily within the fields of Computer Science and Engineering. Their academic contributions span multiple subfields, emphasizing computational and control systems aspects related to networks and nonlinear dynamics.
The main areas of study for Xiaofan Wang include:
The scientist's work has been published in several notable venues. Frequent publication outlets are:
Xiaofan Wang has collaborated repeatedly with a set of frequent co-authors, reflecting ongoing research partnerships. These include:
Examples of recent papers authored or co-authored by Xiaofan Wang demonstrate specific research directions within control and networked systems. Selected recent papers are:
The research themes evident in these publications align with Xiaofan Wang's broader areas of interest such as adaptive control, multi-agent consensus, and fault tolerance in dynamic systems. The combination of practical network control with theoretical nonlinear system analysis is a consistent topic throughout the scientist's work.
Xiao Fan Wang;Guanrong Chen
Xiao Fan Wang;Guanrong Chen
Xiao Fan Wang;Guanrong Chen
Xiao Fan Wang;Guanrong Chen
Xiang Li;Xiaofan Wang;Guanrong Chen
Housheng Su;Xiaofan Wang;Zongli Lin
Xiao Fan Wang
Housheng Su;Guanrong Chen;Xiaofan Wang;Zongli Lin
Weiwu Yan;Huihe Shao;Xiaofan Wang
Housheng Su;Housheng Su;Housheng Su;Xiaofan Wang;Guanrong Chen
Housheng Su;Michael Z. Q. Chen;Xiaofan Wang;James Lam
Housheng Su;Zhihai Rong;Michael Z. Q. Chen;Xiaofan Wang
Housheng Su;Xiaofan Wang;Zongli Lin
Xiaoling Wang;Housheng Su;Xiaofan Wang;Guanrong Chen
Xiao Fan Wang;Guanrong Chen;Xinghuo Yu
Housheng Su;Xiaofan Wang;Guanrong Chen
Xiao Fan Wang;Guanrong Chen
LX Yang;Y Zhang;HW Ou;JF Zhao
Guanrong Chen;Xiaofan Wang;Xiang Li
Xiao Fan Wang;Jian Xu
Housheng Su;Xiaofan Wang;Zongli Lin
Housheng Su;Xiaofan Wang;Zongli Lin
If you think any of the details on this page are incorrect, let us know.
For those interested in advancing their knowledge in Electronics and Electrical Engineering, exploring related online degree options can open up flexible career pathways. Many students balance education with work, making bachelor degree programs for working adults an excellent choice. These programs are designed to accommodate busy schedules while providing a solid foundation in technical skills.
Graduate students or professionals looking to expand into educational or training roles may find pursuing an online masters in instructional design particularly valuable. This degree merges engineering expertise with effective teaching strategies, preparing graduates for curriculum development or corporate training positions.
Competency-based education models are gaining traction for their focus on skill mastery rather than traditional credit hours. Exploring a competency based masters degree can lead to faster completion and demonstrate practical expertise directly applicable to the engineering field.
Additionally, tailored offerings exist to support specific communities, such as colleges for military spouses. These programs offer the flexibility and support needed for military families pursuing education in technical disciplines.
University of New South Wales
Xiamen University
National Institute of Astrophysics, Optics and Electronics
Duke University
University of Colorado Boulder
Université Libre de Bruxelles
University of Houston
Arizona State University
University of Otago
Umeå University
RMIT University
University of California, Irvine
University of Maryland, College Park
Renmin University of China
Mayo Clinic
Université du Québec à Trois-Rivières
