Faqiang Wang

2.0k citations
80 papers · 1.6k · h-index 22

Impact in

Papers in

Faqiang Wang

76 papers receiving 1.5k citations

Peers

Faqiang Wang
Comparison fields: 5 of 64
  • Statistical and Nonlinear Physics 736
  • Automotive Engineering 243
  • Computer Networks and Communications 431
  • Modeling and Simulation 68
  • Electrical and Electronic Engineering 867
Replace D.C. Hamill with:
D.C. Hamill United Kingdom
Bharat Bhushan Sharma India
Manman Yuan China
Sanbo Ding China
Mayank Srivastava India
Serdar Ethem Hamamcı Türkiye
Yasir I. A. Al‐Yasir United Kingdom
Federico Bizzarri Italy
Tianming Liu China
B.R. Davis Australia
Faqiang Wang relative to D.C. Hamill United Kingdom D.C. Hamill's profile →
Citations per field
00.5×11.3×
D.C. Hamill · 1×
Citations per year

Countries citing papers authored by Faqiang Wang

Since Specialization
Citations

This map shows the geographic impact of Faqiang Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Faqiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faqiang Wang more than expected).

Fields of papers citing papers by Faqiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faqiang Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Faqiang Wang. The network helps show where Faqiang Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Faqiang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Faqiang Wang Line = papers co-authored together Faqiang Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016175
2 2006120
3 200694
4 201788
5 200668
6 201863
7 200961
8 201752
9 200848
10 201346
11 200645
12 200640
13 201336
14 201934
15 200832
16 201427
17 201826
18 201425
19 200824
20 202223

About Faqiang Wang

Faqiang Wang is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Control and Systems Engineering, Automotive Engineering and Computer Networks and Communications, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (38 papers), Chaos control and synchronization (23 papers), Multilevel Inverters and Converters (21 papers), Advanced Battery Technologies Research (12 papers), Advanced Memory and Neural Computing (12 papers), Silicon Carbide Semiconductor Technologies (10 papers), Chaos-based Image/Signal Encryption (10 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (736 citations), Automotive Engineering (243 citations), Computer Networks and Communications (431 citations), Modeling and Simulation (68 citations) and Electrical and Electronic Engineering (867 citations). Faqiang Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chongxin Liu, Xikui Ma, Shan Miao, Hao Zhang, Guitao Zhang, Herbert Ho‐Ching Iu, Wei Liu, Tyrone Fernando, Riming Wang and Wei Liu. Their work appears in journals such as Energies, IEEE Transactions on Industrial Electronics, International Journal of Circuit Theory and Applications, Physics Letters A and Electronics Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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