| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 68 | 992 | 946 | 173 | 172 | 180 | 23909 |
| Computer Science | 68 | 2051 | 1986 | 283 | 280 | 188 | 24101 |
The chart shows the history of publications by Jiafu Wan between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jiafu Wan published across 19 years, from 2007 to 2025, averaging 13.2 papers a year. Output peaked at 34 publications in 2016. 35 of the 250 publications appeared in the last two years.
250 publications in total across all disciplines
| Year | Publications |
|---|---|
| 2007 | 2 |
| 2008 | 3 |
| 2009 | 2 |
| 2010 | 4 |
| 2011 | 7 |
| 2012 | 12 |
| 2013 | 15 |
| 2014 | 12 |
| 2015 | 10 |
| 2016 | 34 |
| 2017 | 19 |
| 2018 | 16 |
| 2019 | 19 |
| 2020 | 11 |
| 2021 | 15 |
| 2022 | 12 |
| 2023 | 22 |
| 2024 | 19 |
| 2025 | 16 |
| Total | 250 |
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 Jiafu Wan sits on this spectrum.
This scientist: 180 publications — 23rd percentile
23% 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 | 180 |
| 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 |
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 Jiafu Wan sits on this spectrum.
This scientist: 68 D-Index — 86th percentile
86% 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 | |
| 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 | 68 |
| 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 |
Jiafu Wan is affiliated with South China University of Technology in China, contributing to research across engineering and computer science disciplines. The main fields of study associated with their work include Engineering and Computer Science, with a focus on several subfields such as Industrial and Manufacturing Engineering, Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, and Artificial Intelligence.
Their research encompasses a range of topics, prominently featuring:
Jiafu Wan has a consistent publication record in several academic venues. Notable frequent publication venues include:
Frequent collaborators in Jiafu Wan's work include Jinbiao Tan, Jianhua Shi, Baotong Chen, Shiyong Wang, and Mejdl Safran, indicating an active research network.
Some recent papers authored or co-authored by Jiafu Wan cover topics related to fault diagnosis and machinery systems, including:
Shiyong Wang;Jiafu Wan;Di Li;Chunhua Zhang
Shiyong Wang;Jiafu Wan;Daqiang Zhang;Di Li
Qi Jing;Athanasios V. Vasilakos;Jiafu Wan;Jingwei Lu
Baotong Chen;Jiafu Wan;Lei Shu;Peng Li
Hui Suo;Jiafu Wan;Caifeng Zou;Jianqi Liu
Jiafu Wan;Shenglong Tang;Zhaogang Shu;Di Li
Jianhua Shi;Jiafu Wan;Hehua Yan;Hui Suo
Feng Chen;Pan Deng;Jiafu Wan;Daqiang Zhang
Xiaomin Li;Di Li;Jiafu Wan;Athanasios V. Vasilakos
Hong-Ning Dai;Hao Wang;Guangquan Xu;Jiafu Wan
Jiafu Wan;Shenglong Tang;Di Li;Shiyong Wang
Haidong Shao;Min Xia;Guangjie Han;Yu Zhang
Jiafu Wan;Daqiang Zhang;Shengjie Zhao;Laurence T. Yang
Min Chen;Jiafu Wan;Fang Li
Jianqi Liu;Jiafu Wan;Bi Zeng;Qinruo Wang
Jiafu Wan;Jiapeng Li;Muhammad Imran;Di Li
Jiafu Wan;Xiaomin Li;Hong-Ning Dai;Andrew Kusiak
Jiafu Wan;Baotong Chen;Shiyong Wang;Min Xia
Min Chen;Jiafu Wan;Sergio Gonzalez;Xiaofei Liao
Jiafu Wan;Caifeng Zou;Sana Ullah;Chin-Feng Lai
Jianqi Liu;Jiafu Wan;Qinruo Wang;Pan Deng
If you think any of the details on this page are incorrect, let us know.
Studying Electronics and Electrical Engineering in the USA opens numerous pathways, both academic and professional. Many students benefit from flexible scheduling options, such as those offered by online colleges with weekly start dates. This flexibility allows learners to begin their studies at convenient times, fitting education seamlessly into busy lives.
For those looking for quicker entry into the workforce, short term certificate programs can provide focused training and skills relevant to electronics and electrical fields. These programs often lead to well-paying jobs faster than traditional degrees.
Supportive educational environments also matter. Many institutions now cater specifically to non-traditional students, including military families. Resources like online school for military spouses help address unique challenges, offering tailored support and community.
Career options within this field can suit a variety of personalities. For those who prefer quieter, more focused work, there are many careers for introverts in engineering that emphasize individual problem-solving and innovation over large team interactions.
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