Xiaoxia Lü

Also affiliated with Tufts University, Tufts Medical Center, Tianjin University of Science and Technology, Sun Yat-sen University, Guangxi Medical University, Southwest Petroleum University, Henan University, Shanghai Jiao Tong University, Jilin University, Chinese Academy of Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking University, China University of Petroleum, Beijing, Chinese PLA General Hospital, Ministry of Education, State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Centre Hospitalier Andrée Rosemon, Center for Excellence in Molecular Cell Science, Pearl River Hydraulic Research Institute, First Affiliated Hospital of GuangXi Medical University, Institute of Geology and Geophysics, China Institute of Veterinary Drug Control, The Second Nanning People's Hospital, Wuhan Children's Hospital, Henan Cancer Hospital, Guang’anmen Hospital, Jiangsu Province Hospital, National Institute for Radiological Protection, Second Affiliated Hospital of Zhejiang University, University of Chinese Academy of Sciences, Hangzhou Medical College, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhejiang University, Yangzhou University, Nanjing Medical University, Nanjing University, Shaanxi Normal University, South China University of Technology, Shanghai Maritime University, Stanford University, Nanjing University of Aeronautics and Astronautics

Environmental ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 8 papers. Top paper: “A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19”.