Tao Chu

3.7k citations
128 papers · 2.7k · h-index 27

Impact in

Papers in

Tao Chu

115 papers receiving 2.5k citations

Peers

Tao Chu
Comparison fields: 5 of 88
  • Electrical and Electronic Engineering 2.4k
  • Atomic and Molecular Physics, and Optics 1.3k
  • Surfaces, Coatings and Films 118
  • Artificial Intelligence 409
  • Electronic, Optical and Magnetic Materials 149
Replace Stefan F. Preble with:
Stefan F. Preble United States
Amir H. Atabaki United States
Siva Yegnanarayanan United States
Tymon Barwicz United States
Jared F. Bauters United States
Bart Kuyken Belgium
Jinzhong Yu China
Shiming Gao China
Anatol Khilo United States
Nobuhiko Nishiyama Japan
Tao Chu relative to Stefan F. Preble United States Stefan F. Preble's profile →
Citations per field
00.5×1.5×2.4×
Stefan F. Preble · 1×
Citations per year

Countries citing papers authored by Tao Chu

Since Specialization
Citations

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

Fields of papers citing papers by Tao Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017198
2 2013195
3 2014153
4 2006120
5 2012115
6 2005115
7 2005115
8 2012106
9 2009104
10 201289
11 202169
12 201769
13 201265
14 201064
15 200557
16 201455
17 202145
18 201345
19 202339
20 201334

About Tao Chu

Tao Chu is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry, Artificial Intelligence and Biomedical Engineering, having authored 128 papers that have together received 2.7k indexed citations. Recurring topics across this work include Photonic and Optical Devices (103 papers), Advanced Photonic Communication Systems (41 papers), Optical Network Technologies (39 papers), Photonic Crystals and Applications (24 papers), Advanced Fiber Laser Technologies (24 papers), Semiconductor Lasers and Optical Devices (20 papers), Advanced Fiber Optic Sensors (11 papers) and Neural Networks and Reservoir Computing (11 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.4k citations), Atomic and Molecular Physics, and Optics (1.3k citations), Surfaces, Coatings and Films (118 citations), Artificial Intelligence (409 citations) and Electronic, Optical and Magnetic Materials (149 citations). Tao Chu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Weijie Tang, Hirohito Yamada, Yasuhiko Arakawa, Lei Qiao, Yude Yu, Jinzhong Yu, Xi Xiao, Zhiyong Li, Xianyao Li and Hao Xu. Their work appears in journals such as Optics Letters, Optics Express, IEEE Photonics Technology Letters, Optics Communications and Laser & Photonics Review.

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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