Lingxi Guo

833 citations
39 papers · 557 · 1 hit paper · h-index 9

Impact in

Papers in

Lingxi Guo

36 papers receiving 551 citations

Lingxi Guo's Hit Papers

Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score 2019 · 282 citations
2820+2+4Years since publication50100150200250

Peers

Lingxi Guo
Comparison fields: 5 of 102
  • Infectious Diseases 171
  • Condensed Matter Physics 93
  • Food Science 71
  • Neurology 50
  • Applied Microbiology and Biotechnology 6
Replace Mira Alt with:
Mira Alt Germany
Toshihito Nomura Japan
Kyu Han Lee United States
Qiaoyan Chen China
Victor Lim United States
A. Y. Wong United States
Masaaki Tomita Japan
Maxim Oleynikov United States
W. Ebner Germany
John J. Rajasekaran United States
Lingxi Guo relative to Mira Alt Germany Mira Alt's profile →
Citations per field
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Mira Alt · 1×
Citations per year

Countries citing papers authored by Lingxi Guo

Since Specialization
Citations

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

Fields of papers citing papers by Lingxi Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score
Hit paper breakdown →
2019282
2 201951
3 201240
4 201323
5 202322
6 202021
7 201818
8 202214
9 20128
10 20206
11 20236
12 20126
13 20145
14 20135
15 20135
16 20235
17 20234
18 20204
19 20224
20 20233

About Lingxi Guo

Lingxi Guo is a scholar working on Condensed Matter Physics, Materials Chemistry, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Aerospace Engineering, having authored 39 papers that have together received 557 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (10 papers), Magnetic properties of thin films (4 papers), Ocean Waves and Remote Sensing (3 papers), Superconductivity in MgB2 and Alloys (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Microencapsulation and Drying Processes (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Surface and Thin Film Phenomena (2 papers). The work is most often cited by research in Infectious Diseases (171 citations), Condensed Matter Physics (93 citations), Food Science (71 citations), Neurology (50 citations) and Applied Microbiology and Biotechnology (6 citations). Lingxi Guo has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Min Zhou, Jieming Qu, Xinxin Zhang, Dong Wei, Qing Yun Li, Yurong Wu, Xin Yao, Shuang Yan, Huajun Xu and Liuping Fan. Their work appears in journals such as Journal of Crystal Growth, Infection and Drug Resistance, IEEE Transactions on Geoscience and Remote Sensing, Food Research International and Applied Surface Science.

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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