Lu Wang

7.2k citations
205 papers · 4.2k · 2 hit papers · h-index 31

Impact in

Papers in

Lu Wang

192 papers receiving 4.1k citations

Lu Wang's Hit Papers

Disease Prediction by Machine Learning Over Big Data From Healthcare Communities 2017 · 727 citations
7270+3+6Years since publication200400600

Peers

Lu Wang
Comparison fields: 5 of 191
  • Health Information Management 385
  • Nuclear and High Energy Physics 409
  • Health Informatics 39
  • Radiation 208
  • Rehabilitation 127
Replace Julio C. Facelli with:
Julio C. Facelli United States
Robert A. Gatenby United States
David A. Winkler Australia
James C. L. Chow Canada
K. Ogawa Japan
Guido Germano United States
Martin J. Murphy United States
Taeho Jo Japan
R. Bellotti Italy
Hiroyuki Abé Japan
Lu Wang relative to Julio C. Facelli United States Julio C. Facelli's profile →
Citations per field
00.5×10×20×30×42.3×
Julio C. Facelli · 1×
Citations per year

Countries citing papers authored by Lu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lu Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lu Wang Line = papers co-authored together Lu Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 205 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Hit paper breakdown →
2017727
2
Exosomes secreted by human adipose mesenchymal stem cells promote scarless cutaneous repair by regulating extracellular matrix remodelling
Hit paper breakdown →
2017299
3 2005269
4 2004167
5 2008115
6 2021110
7 201791
8 200987
9 198974
10 201068
11 200466
12 200461
13 200757
14 201752
15 200951
16 200351
17 201751
18 201446
19 201445
20 202145

About Lu Wang

Lu Wang is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Molecular Biology, Materials Chemistry and Pulmonary and Respiratory Medicine, having authored 205 papers that have together received 4.2k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (47 papers), Ionosphere and magnetosphere dynamics (39 papers), Laser-Plasma Interactions and Diagnostics (20 papers), Advanced Radiotherapy Techniques (15 papers), Solar and Space Plasma Dynamics (10 papers), Fusion materials and technologies (9 papers), Particle accelerators and beam dynamics (7 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Health Information Management (385 citations), Nuclear and High Energy Physics (409 citations), Health Informatics (39 citations), Radiation (208 citations) and Rehabilitation (127 citations). Lu Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kai Hwang, Min Chen, Lin Wang, Yixue Hao, Song Gao, Zhe‐Ming Wang, Xinyi Wang, T. S. Hahm, Jing Lü and P. H. Diamond. Their work appears in journals such as Nuclear Fusion, Physics of Plasmas, International Journal of Radiation Oncology*Biology*Physics, Plasma Physics and Controlled Fusion and Medical Physics.

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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