Molei Yan

410 citations
19 papers · 283 · h-index 8

Impact in

Papers in

Molei Yan

19 papers receiving 278 citations

Peers

Molei Yan
Comparison fields: 5 of 113
  • Health Information Management 34
  • Health Informatics 5
  • Critical Care and Intensive Care Medicine 16
  • Artificial Intelligence 98
  • Family Practice 4
Replace Jia Ren with:
Jia Ren China
Ju Gao China
Farah E. Shamout United Kingdom
Kai-Chih Pai Taiwan
Meng-Ju Hsieh Taiwan
Colleen M. Ennett Canada
İlke Kurt Türkiye
Thomas Gumbsch Switzerland
Mohamed M. Rizk Egypt
Soroush Safaei New Zealand
Molei Yan relative to Jia Ren China Jia Ren's profile →
Citations per field
00.5×6.7×
Jia Ren · 1×
Citations per year

Countries citing papers authored by Molei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Molei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018130
2 201926
3 201324
4
[Efficacies of fluid resuscitation as guided by lactate clearance rate and central venous oxygen saturation in patients with septic shock].
201524
5 201517
6 201812
7 20218
8 20218
9 20217
10 20206
11 20214
12
[A novel missense mutation, K124N, in the troponin T gene of Chinese populations with hypertrophic cardiomyopathy].
20044
13
[An evaluation of stroke volume variation as a predictor of fluid responsiveness in mechanically ventilated elderly patients with severe sepsis].
20094
14 20232
15 20152
16 20202
17
[Microcirculation characters in the elderly septic patients].
20131
18
[The prediction value of noninvasive bioreactance-based passive leg raising test in assessing fluid responsiveness in elderly patients with sepsis].
20151
19
[Observation on inhibitory effect of Coptis alone and its combination with Scutellaria and Liquorice on the growth of Staphylococcus aureus].
19981

About Molei Yan

Molei Yan is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 19 papers that have together received 283 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (12 papers), Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Respiratory Support and Mechanisms (2 papers), Phonocardiography and Auscultation Techniques (2 papers), Trauma and Emergency Care Studies (1 paper) and Nosocomial Infections in ICU (1 paper). The work is most often cited by research in Health Information Management (34 citations), Health Informatics (5 citations), Critical Care and Intensive Care Medicine (16 citations), Artificial Intelligence (98 citations) and Family Practice (4 citations). Molei Yan has collaborated with scholars based in China. Frequent co-authors include Guolong Cai, Gangmin Ning, Jing Yan, Jing Xia, Min Zhu, Xiaoqing Jin, Qianghong Xu, Jin Chen, Jing Yan and Qun Su. Their work appears in journals such as Scientific Reports, IEEE Journal of Biomedical and Health Informatics, Computer Methods and Programs in Biomedicine, Frontiers in Physiology and Microvascular Research.

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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