Hua Wu

2.3k citations
33 papers · 1.7k indexed · 1 hit paper · h-index 17
Topics
Advanced MRI Techniques and Applications (9 papers)Functional Brain Connectivity Studies (8 papers)Quantum Information and Cryptography (6 papers)

In The Last Decade

Hua Wu

31 papers receiving 1.7k citations

Hit Papers

A Twist Code Determines the Onset of Osteoblast Different...20042026201120182004100200300400500

Peers

Hua Wu
Comparison fields: 5 of 127
  • Atomic and Molecular Physics, and Optics 560
  • Molecular Biology 546
  • Artificial Intelligence 297
  • Oncology 162
  • Genetics 158
Replace Tao Tu with:
Tao Tu China
Bruno Saubaméa France
Bing Zhang United States
Samuel Smith United States
Dieter Beule Germany
Robert R. Flavell United States
Sanjeev Chawla United States
Javier Villanueva-Meyer United States
Daniel A. Orringer United States
Hua Wu relative to Tao Tu China Tao Tu's profile →
Citations per field
00.5×5.1×
Tao Tu · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 4
4 0
5 52
6 9
7 31
8 8
9 11
10 34
11 17
12 125
13 29
14 16
15
620 nm Red Light Enhances Osteogenic Differentiation in Mesenchymal Stem Cells
1
16 339
17 127
18
Regulatory effects of Paeoniflorin on G protein-coupled signaling of synoviocytes in collagen-induced arthritis rats
1
19 99
20
A Twist Code Determines the Onset of Osteoblast Differentiationbreakdown →
532

About Hua Wu

Hua Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Critical Care and Intensive Care Medicine, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (8 papers) and Quantum Information and Cryptography (6 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (560 citations), Artificial Intelligence (297 citations) and Molecular Biology (546 citations). Hua Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John J. L. Morton, David Schuster, David M. Ornitz, Dražen Šošić, G. A. D. Briggs, Nancy A. Hong, Monica J. Justice, Robert Schoelkopf, Peter Bialek and Xiangli Yang. Their work appears in journals such as Physical Review Letters, Nature Communications and Applied Physics Letters.

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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