Li Weng

3.8k citations
89 papers · 2.3k indexed · 3 hit papers · h-index 19

Li Weng

82 papers receiving 2.3k citations

Hit Papers

The association between non...5020202026202220242505007501000

Peers

Li Weng
Comparison fields: 5 of 153
  • Critical Care and Intensive Care Medicine 370
  • Applied Microbiology and Biotechnology 74
  • Infectious Diseases 521
  • Modeling and Simulation 91
  • Epidemiology 656
Replace Jigeeshu Vasishtha Divatia with:
Jigeeshu Vasishtha Divatia India
Patricia Kritek United States
Pavan K. Bhatraju United States
Mark W. Hall United States
Yi Yang China
David S. Y. Ong Netherlands
Haibo Qiu China
Lewis Rubinson United States
Jason D. Goldman United States
Florian Mayr United States
Li Weng relative to Jigeeshu Vasishtha Divatia India Jigeeshu Vasishtha Divatia's profile →
Citations per field
00.5×
Jigeeshu Vasishtha Divatia · 1×
Citations per year

Countries citing papers authored by Li Weng

Since Specialization
Citations

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

Fields of papers citing papers by Li Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20237
4 20237
5 20239
6 20235
7 20237
8 20232
9
National incidence and mortality of hospitalized sepsis in Chinabreakdown →
202381
10 20224
11 20201
12 202038
13 202015
14 201916
15 2018108
16 201760
17 20177
18 201154
19
Study on toxin characteristics of Clostridium difficile isolated from hospital
20091
20
Maternal Satisfaction and Clinical Effect of Kangaroo Mother Care in Preterm Infants:A Meta-analysis
20082

About Li Weng

Li Weng is a scholar working on Critical Care and Intensive Care Medicine, Family Practice and Epidemiology, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (28 papers), Nosocomial Infections in ICU (12 papers), Hemodynamic Monitoring and Therapy (12 papers), Respiratory Support and Mechanisms (9 papers), Intensive Care Unit Cognitive Disorders (7 papers), Antifungal resistance and susceptibility (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (370 citations), Applied Microbiology and Biotechnology (74 citations) and Infectious Diseases (521 citations). Li Weng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Du, Charles D. Gomersall, Jensen Ng, Lowell Ling, Younsuck Koh, Jason Phua, Moritoki Egi, Babu Raja Shrestha, Chae‐Man Lim and Yaseen M. Arabi. Their work appears in journals such as Critical Care, Critical Care Medicine, Annals of Intensive Care, BMC Pulmonary Medicine and Journal of Clinical Investigation.

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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