Ting Wang

4.3k citations
207 papers · 3.1k · h-index 31

Impact in

Papers in

Ting Wang

187 papers receiving 3.0k citations

Peers

Ting Wang
Comparison fields: 5 of 141
  • Electrical and Electronic Engineering 1.7k
  • Atomic and Molecular Physics, and Optics 612
  • Computational Mechanics 391
  • Computer Vision and Pattern Recognition 323
  • Instrumentation 48
Replace Yan Xu with:
Yan Xu China
Qinghua Guo Australia
Caihua Chen United States
Zhen Zhang China
Hao Yu Singapore
Colin Bradley Canada
Songtao Liu China
He Wen China
Kun Xu China
M. Mori Japan
Ting Wang relative to Yan Xu China Yan Xu's profile →
Citations per field
00.5×3.0×
Yan Xu · 1×
Citations per year

Countries citing papers authored by Ting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011253
2 2011178
3 2010145
4 2022136
5 2019134
6 2015117
7 2007110
8 200696
9 201585
10 202355
11 200954
12 202249
13 201149
14 200547
15 200744
16 201443
17 201341
18 201640
19 200339
20 202039

About Ting Wang

Ting Wang is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Atomic and Molecular Physics, and Optics, Aerospace Engineering and Computational Mechanics, having authored 207 papers that have together received 3.1k indexed citations. Recurring topics across this work include Optical Network Technologies (34 papers), Advanced Fiber Optic Sensors (33 papers), Advanced Photonic Communication Systems (32 papers), Photonic and Optical Devices (24 papers), Advanced Fiber Laser Technologies (16 papers), Heat Transfer Mechanisms (15 papers), Advanced Optical Network Technologies (14 papers) and Fluid Dynamics and Turbulent Flows (12 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.7k citations), Atomic and Molecular Physics, and Optics (612 citations), Computational Mechanics (391 citations), Computer Vision and Pattern Recognition (323 citations) and Instrumentation (48 citations). Ting Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ezra Ip, Guifang Li, Neng Bai, Jianjun Yu, Giovanni Milione, Zhensheng Jia, Neda Cvijetic, Lei Xu, Ming-Fang Huang and Pei‐Chann Chang. Their work appears in journals such as Optics Express, IEEE photonics journal, Optik, Sensors and Journal of Lightwave Technology.

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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