Yixuan Tan

1.4k total citations · 1 hit paper
23 papers, 973 citations indexed

About

Yixuan Tan is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Yixuan Tan has authored 23 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atomic and Molecular Physics, and Optics, 5 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Yixuan Tan's work include Photonic Crystals and Applications (4 papers), Neural Networks and Reservoir Computing (3 papers) and Solidification and crystal growth phenomena (3 papers). Yixuan Tan is often cited by papers focused on Photonic Crystals and Applications (4 papers), Neural Networks and Reservoir Computing (3 papers) and Solidification and crystal growth phenomena (3 papers). Yixuan Tan collaborates with scholars based in United States, China and United Kingdom. Yixuan Tan's co-authors include Zongfu Yu, Erfan Khoram, Dianjing Liu, Zhu Wang, Qiaoqiang Gan, Dengxin Ji, Ming Zhou, Ting S. Luk, Sheng Shen and Yihan Ma and has published in prestigious journals such as Applied Physics Letters, Acta Materialia and IEEE Access.

In The Last Decade

Yixuan Tan

20 papers receiving 924 citations

Hit Papers

Training Deep Neural Networks for the Inverse Design of N... 2018 2026 2020 2023 2018 250 500 750

Peers

Yixuan Tan
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 420
  • Electronic, Optical and Magnetic Materials 336
  • Atomic and Molecular Physics, and Optics 297
  • Biomedical Engineering 264
  • Artificial Intelligence 159
Replace Erfan Khoram with:
Erfan Khoram United States
Dianjing Liu United States
John Peurifoy United States
Dayu Zhu United States
Jaebum Noh South Korea
L. P. Zhou China
Yihao Xu United States
Itzik Malkiel Israel
Sajjad Abdollahramezani United States
Erfan Khoram United States View profile →
Citations per field, relative to Yixuan Tan
Yixuan Tan · 1×
Citations per year, relative to Yixuan Tan
Yixuan Tan · 1×

Countries citing papers authored by Yixuan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yixuan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yixuan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yixuan Tan. A scholar is included among the top collaborators of Yixuan Tan 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 Yixuan Tan. Yixuan Tan 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 9
2 19
3 1
4 2
5 0
6 3
7 0
8 10
9 5
10 7
11 1
12 32
13 0
14
Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures breakdown →
790
15 1
16 3
17 2
18 5
19 50
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026