Lezhou Wu

462 citations
20 papers · 320 · h-index 8

Impact in

Papers in

Lezhou Wu

19 papers receiving 312 citations

Peers

Lezhou Wu
Comparison fields: 5 of 76
  • Anesthesiology and Pain Medicine 36
  • Cardiology and Cardiovascular Medicine 78
  • Developmental Neuroscience 11
  • Neuropsychology and Physiological Psychology 3
  • Psychiatry and Mental health 27
Replace Gildasio De Oliveira with:
Gildasio De Oliveira United States
C.G. Stack United Kingdom
Markus Weinbacher Switzerland
Mohammad Ali Sahmeddini Iran
Yury Khelemsky United States
İnci Kara Türkiye
Ralf Habermann United States
İpek Saadet Edipoğlu Türkiye
Tanyong Pipanmekaporn Thailand
Yanjuan Lin China
Lezhou Wu relative to Gildasio De Oliveira United States Gildasio De Oliveira's profile →
Citations per field
00.5×2×2.8×
Gildasio De Oliveira · 1×
Citations per year

Countries citing papers authored by Lezhou Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lezhou Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lezhou Wu, 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 Lezhou Wu Line = papers co-authored together Lezhou Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201867
2 201065
3 202054
4 201932
5 201729
6 201913
7 202112
8 201810
9 20188
10 20196
11 20235
12 20235
13 20203
14 20203
15
A Data-Driven Approach for Integrating Infant Mortality Prediction and Survival Time Estimate from Electronic Health Records.
20192
16 20232
17 20232
18 20241
19 20241
20 20240

About Lezhou Wu

Lezhou Wu is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine, Public Health, Environmental and Occupational Health, Experimental and Cognitive Psychology and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 320 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (3 papers), Sleep and related disorders (2 papers), Congenital Heart Disease Studies (2 papers), Obstructive Sleep Apnea Research (1 paper), Cardiovascular Health and Risk Factors (1 paper), Anesthesia and Sedative Agents (1 paper), Enhanced Recovery After Surgery (1 paper) and Airway Management and Intubation Techniques (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (36 citations), Cardiology and Cardiovascular Medicine (78 citations), Developmental Neuroscience (11 citations), Neuropsychology and Physiological Psychology (3 citations) and Psychiatry and Mental health (27 citations). Lezhou Wu has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Jue Li, Allan F. Simpao, Jorge A. Gálvez, Jonathan M. Tan, Jack O. Wasey, Longbing Ren, Lijuan Zhang, Zhongmin Liu, Yusheng He and Sheng Kang. Their work appears in journals such as Pediatric Anesthesia, Scientific Reports, Anesthesia & Analgesia, Anesthesiology and American Heart Journal.

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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