Hua Wu

58 total papers · 2.3k total citations
33 papers, 1.7k citations indexed

About

Hua Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Hua Wu has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Atomic and Molecular Physics, and Optics and 9 papers in Cognitive Neuroscience. Recurrent topics in Hua Wu's work include Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (8 papers) and Quantum Information and Cryptography (6 papers). Hua Wu is often cited by papers focused on Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (8 papers) and Quantum Information and Cryptography (6 papers). Hua Wu collaborates with scholars based in United States, China and United Kingdom. Hua Wu's co-authors include John J. L. Morton, Nancy A. Hong, Gérard Karsenty, Xiangli Yang, Dražen Šošić, David M. Ornitz, Kai Yu, Peter Bialek, Eric N. Olson and Monica J. Justice and has published in prestigious journals such as Physical Review Letters, Nature Communications and Applied Physics Letters.

In The Last Decade

Hua Wu

30 papers receiving 1.7k citations

Hit Papers

A Twist Code Determines t... 2004 2026 2011 2018 2004 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
Hua Wu 559 547 296 163 159 33 1.7k
Mingjun Shi 631 1.1× 439 0.8× 696 2.4× 109 0.7× 178 1.1× 73 2.1k
Yi‐An Chen 241 0.4× 452 0.8× 249 0.8× 253 1.6× 125 0.8× 43 1.7k
Christian Schön 330 0.6× 704 1.3× 336 1.1× 32 0.2× 185 1.2× 48 1.5k
Bruno Saubaméa 283 0.5× 704 1.3× 79 0.3× 327 2.0× 48 0.3× 70 2.1k
Tao Tu 696 1.2× 442 0.8× 344 1.2× 103 0.6× 29 0.2× 129 2.2k
Hirotaka Tanaka 333 0.6× 533 1.0× 305 1.0× 58 0.4× 30 0.2× 101 2.3k
Hui Li 1.1k 2.0× 222 0.4× 253 0.9× 40 0.2× 140 0.9× 33 2.0k
Zeyang Li 899 1.6× 474 0.9× 284 1.0× 69 0.4× 18 0.1× 70 1.9k
Kei Sawada 268 0.5× 344 0.6× 68 0.2× 97 0.6× 80 0.5× 81 1.5k
Dieter Beule 123 0.2× 666 1.2× 115 0.4× 159 1.0× 90 0.6× 97 1.8k

Countries citing papers authored by Hua Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Wu. A scholar is included among the top collaborators of Hua 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 Hua Wu. Hua 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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