Allie X. Wu

14 total papers · 1.1k total citations
12 papers, 726 citations indexed

About

Allie X. Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Infectious Diseases. According to data from OpenAlex, Allie X. Wu has authored 12 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 0 papers in Infectious Diseases. Recurrent topics in Allie X. Wu's work include Neural Networks and Reservoir Computing (12 papers), Photonic and Optical Devices (12 papers) and Optical Network Technologies (7 papers). Allie X. Wu is often cited by papers focused on Neural Networks and Reservoir Computing (12 papers), Photonic and Optical Devices (12 papers) and Optical Network Technologies (7 papers). Allie X. Wu collaborates with scholars based in United States. Allie X. Wu's co-authors include Mitchell A. Nahmias, Alexander N. Tait, Paul R. Prucnal, Bhavin J. Shastri, Thomas Ferreira de Lima, Ellen Zhou, Matthew P. Chang, Ben Wu and Eric C. Blow and has published in prestigious journals such as Scientific Reports, Optics Letters and IEEE Journal of Selected Topics in Quantum Electronics.

In The Last Decade

Allie X. Wu

12 papers receiving 685 citations

Hit Papers

Neuromorphic photonic net... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Allie X. Wu 689 669 49 21 20 12 726
Ellen Zhou 666 1.0× 647 1.0× 49 1.0× 21 1.0× 19 0.9× 11 707
Aashu Jha 643 0.9× 586 0.9× 64 1.3× 10 0.5× 10 0.5× 25 690
Pauline Mechet 819 1.2× 691 1.0× 169 3.4× 20 1.0× 94 4.7× 21 877
François Duport 596 0.9× 561 0.8× 64 1.3× 6 0.3× 48 2.4× 29 641
Yue Tian 732 1.1× 320 0.5× 180 3.7× 25 1.2× 31 1.6× 47 803
Joshua Robertson 718 1.0× 696 1.0× 59 1.2× 37 1.8× 136 6.8× 38 766
Ying Zuo 407 0.6× 313 0.5× 174 3.6× 37 1.8× 10 0.5× 27 642
Amogh Agrawal 655 1.0× 133 0.2× 54 1.1× 55 2.6× 38 1.9× 32 762
Christophe Piveteau 471 0.7× 242 0.4× 73 1.5× 76 3.6× 40 2.0× 20 624
Je-Min Hung 721 1.0× 136 0.2× 41 0.8× 92 4.4× 17 0.8× 15 794

Countries citing papers authored by Allie X. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Allie X. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allie X. Wu. 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 Allie X. Wu. The network helps show where Allie X. Wu may publish in the future.

Co-authorship network of co-authors of Allie X. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Allie X. Wu. A scholar is included among the top collaborators of Allie X. Wu 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 Allie X. Wu. Allie X. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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