Lu Wang

199 papers receiving 4.7k citations

Lu Wang's Hit Papers

Disease Prediction by Machine Learning Over Big Data From Healthcare Communities 2017 · 861 citations
8610+3+6Years since publication250500750

Peers

Lu Wang
Comparison fields: 5 of 188
  • Nuclear and High Energy Physics 1k
  • Health Information Management 409
  • Health Informatics 58
  • Oncology 339
  • Inorganic Chemistry 203
Replace Zhong Chen with:
Zhong Chen China
Julio Cesar Facelli United States
Lirong Wang China
Dilber Uzun Ozsahin Cyprus
Christoph Krafft Germany
Ziping Li China
Weiqing Zhang China
Brian W. Pogue United States
Xin Hua Zhou China
David Andrew Bradley United Kingdom
Lu Wang relative to Zhong Chen China Zhong Chen's profile →
Citations per field
00.5×10×20×34.1×
Zhong Chen · 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 215 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 →
2017861
2 2020420
3 2005272
4 2004174
5 2021125
6 2008120
7 2013101
8 201796
9 200987
10 201985
11 201072
12 200761
13 200355
14 201855
15 200953
16 201752
17 201449
18 202147
19 201546
20 201646

About Lu Wang

Lu Wang is a scholar working on Nuclear and High Energy Physics, Radiation, Oncology, Molecular Biology and Materials Chemistry, having authored 215 papers that have together received 4.9k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (69 papers), Advanced Radiotherapy Techniques (9 papers), Welding Techniques and Residual Stresses (7 papers), Carbon Nanotubes in Composites (6 papers), Plasma Diagnostics and Applications (4 papers), COVID-19 Clinical Research Studies (4 papers), Sexual Differentiation and Disorders (4 papers) and Laser Material Processing Techniques (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (1k citations), Health Information Management (409 citations), Health Informatics (58 citations), Oncology (339 citations) and Inorganic Chemistry (203 citations). Lu Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bülthoff Chen M, Kai Hwang, Lin Wang, Yixue Hao, Taik Soo Hahm, Song Wei Gao, Xinyi Wang, Zhe‐Ming Wang, P. H. Diamond and Jing Lü. 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 Early Human Development.

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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