Xin Fu

1.7k total citations · 1 hit paper
20 papers, 1.2k citations indexed

About

Xin Fu is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Xin Fu has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 8 papers in Electrical and Electronic Engineering and 4 papers in Plant Science. Recurrent topics in Xin Fu's work include Electromagnetic Scattering and Analysis (8 papers), Electromagnetic Simulation and Numerical Methods (6 papers) and Soil Moisture and Remote Sensing (3 papers). Xin Fu is often cited by papers focused on Electromagnetic Scattering and Analysis (8 papers), Electromagnetic Simulation and Numerical Methods (6 papers) and Soil Moisture and Remote Sensing (3 papers). Xin Fu collaborates with scholars based in China, Hong Kong and United States. Xin Fu's co-authors include Wolfram H. P. Pernice, Maxim Karpov, Manuel Le Gallo, X. Li, Abu Sebastian, Johannes Feldmann, Tobias J. Kippenberg, Maik Stappers, Anton Lukashchuk and Nathan Youngblood and has published in prestigious journals such as PLANT PHYSIOLOGY, International Journal of Molecular Sciences and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Xin Fu

19 papers receiving 1.1k citations

Hit Papers

Parallel convolutional processing using an integrated pho... 2021 2026 2022 2024 2021 250 500 750

Peers

Xin Fu
Comparison fields: 5 of 74
  • Electrical and Electronic Engineering 936
  • Artificial Intelligence 714
  • Atomic and Molecular Physics, and Optics 240
  • Materials Chemistry 124
  • Plant Science 90
Replace Hua‐Jun Chen with:
Hua‐Jun Chen China
Zhiping Huang China
Shin-Hee Han South Korea
Tong Chen United States
A. P. Thakoor United States
Vijayalakshmi Srinivasan United States
Sourav Dutta United States
Bonan Yan China
Jordi Madrenas Spain
Fabio L. Traversa Italy
Hua‐Jun Chen China View profile →
Citations per field, relative to Xin Fu
Xin Fu · 1×
Citations per year, relative to Xin Fu
Xin Fu · 1×

Countries citing papers authored by Xin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Fu. A scholar is included among the top collaborators of Xin Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xin Fu. Xin Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 4
4 33
5 26
6 2
7
Parallel convolutional processing using an integrated photonic tensor core breakdown →
971
8 15
9 35
10 3
11 21
12 6
13 18
14 14
15 1
16 2
17 1
18 0
19 1
20 5

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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