Fu Wang

1.1k citations
139 papers · 686 · h-index 12

Impact in

Papers in

Fu Wang

104 papers receiving 656 citations

Peers

Fu Wang
Comparison fields: 5 of 66
  • Computer Networks and Communications 191
  • Electrical and Electronic Engineering 368
  • Aerospace Engineering 100
  • Artificial Intelligence 108
  • Computer Vision and Pattern Recognition 47
Replace Gerardo Gómez with:
Gerardo Gómez Spain
Lu Yin China
Zhefu Wu China
Yanzhao Hou China
Tingrui Pei China
Jie Mei China
Buhong Wang China
Xian Zhang China
Xiyu Wang China
Fu Wang relative to Gerardo Gómez Spain Gerardo Gómez's profile →
Citations per field
00.5×2×4×6×8.3×
Gerardo Gómez · 1×
Citations per year

Countries citing papers authored by Fu Wang

Since Specialization
Citations

This map shows the geographic impact of Fu 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 Fu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu Wang more than expected).

Fields of papers citing papers by Fu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu 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 Fu Wang. The network helps show where Fu Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Fu 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 Fu Wang Line = papers co-authored together Fu Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202360
2 202248
3 202439
4 202137
5 202337
6 202329
7 201822
8 201717
9 202416
10 202314
11 202414
12 202214
13 201712
14 202111
15 202011
16 202011
17 201910
18 202410
19 20169
20 20249

About Fu Wang

Fu Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 139 papers that have together received 686 indexed citations. Recurring topics across this work include Optical Network Technologies (73 papers), Advanced Photonic Communication Systems (51 papers), Advanced Optical Network Technologies (33 papers), Advanced Fiber Laser Technologies (16 papers), Satellite Communication Systems (16 papers), Software-Defined Networks and 5G (14 papers), Photonic and Optical Devices (12 papers) and Semiconductor Lasers and Optical Devices (10 papers). The work is most often cited by research in Computer Networks and Communications (191 citations), Electrical and Electronic Engineering (368 citations), Aerospace Engineering (100 citations), Artificial Intelligence (108 citations) and Computer Vision and Pattern Recognition (47 citations). Fu Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Haipeng Yao, Xiangjun Xin, Qi Zhang, Qinghua Tian, Feng Chun Tian, Mohsen Guizani, Wenji He, Tianle Mai, Ran Gao and Zhipei Li. Their work appears in journals such as Optics Express, Journal of Lightwave Technology, Electronics, Optics Communications and Photonics.

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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