Xingyuan Xu

15.5k citations
114 papers · 3.0k indexed · 1 hit paper · h-index 30

Xingyuan Xu

102 papers receiving 2.8k citations

Hit Papers

11 TOPS photonic convolutional accelerator for optical ne...7292021202620222024200400600

Peers

Xingyuan Xu
Comparison fields: 5 of 84
  • Atomic and Molecular Physics, and Optics 1.7k
  • Electrical and Electronic Engineering 2.7k
  • Artificial Intelligence 897
  • Acoustics and Ultrasonics 24
  • Instrumentation 33
Replace Thach G. Nguyen with:
Thach G. Nguyen Australia
Thomas Van Vaerenbergh United States
Anton Lukashchuk Switzerland
Christian Reimer Canada
Daniel Pérez Spain
Nikos Pleros Greece
Minming Zhang China
Weiwen Zou China
Johannes Feldmann Germany
Thomas Ferreira de Lima United States
Xingyuan Xu relative to Thach G. Nguyen Australia Thach G. Nguyen's profile →
Citations per field
00.5×1.5×2.1×
Thach G. Nguyen · 1×
Citations per year

Countries citing papers authored by Xingyuan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xingyuan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 20242
4 20241
5 20241
6 202457
7 20236
8 202271
9 20216
10 202023
11 202048
12 201942
13 201975
14 201931
15 201943
16 201831
17 2018131
18 201890
19 201883
20 20117

About Xingyuan Xu

Xingyuan Xu is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence, having authored 114 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (73 papers), Photonic and Optical Devices (72 papers), Advanced Photonic Communication Systems (55 papers), Optical Network Technologies (31 papers), Neural Networks and Reservoir Computing (19 papers), Advanced Fiber Optic Sensors (9 papers), Neuroscience and Neural Engineering (5 papers) and Mechanical and Optical Resonators (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.7k citations), Electrical and Electronic Engineering (2.7k citations) and Artificial Intelligence (897 citations). Xingyuan Xu has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include David Moss, Jiayang Wu, Roberto Morandotti, Arnan Mitchell, Sai T. Chu, Brent E. Little, Thach G. Nguyen, Mengxi Tan, Andreas Boes and Bill Corcoran. Their work appears in journals such as Nature, Advanced Materials and Nature Communications.

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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