Lingli Li

4.2k total citations · 1 hit paper
45 papers, 2.8k citations indexed

About

Lingli Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Physiology. According to data from OpenAlex, Lingli Li has authored 45 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Infectious Diseases and 8 papers in Physiology. Recurrent topics in Lingli Li's work include COVID-19 Clinical Research Studies (9 papers), COVID-19 diagnosis using AI (7 papers) and Acupuncture Treatment Research Studies (5 papers). Lingli Li is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), COVID-19 diagnosis using AI (7 papers) and Acupuncture Treatment Research Studies (5 papers). Lingli Li collaborates with scholars based in China, United States and United Kingdom. Lingli Li's co-authors include Lian Yang, Chuansheng Zheng, Tianhe Ye, Feng Pan, Bo Liang, Richard L. Hesketh, Jiazheng Wang, Peng Sun, Dandan Zheng and Dehan Liu and has published in prestigious journals such as Scientific Reports, Radiology and Brain Research.

In The Last Decade

Lingli Li

44 papers receiving 2.7k citations

Hit Papers

Time Course of Lung Changes at Chest CT during Recovery f... 2020 2026 2022 2024 2020 500 1000 1.5k

Peers

Lingli Li
Comparison fields: 5 of 150
  • Infectious Diseases 1.4k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Neurology 698
  • Oncology 426
  • Pulmonary and Respiratory Medicine 420
Replace Jin Gu with:
Jin Gu China
Macy Mei‐Sze Lui Hong Kong
Wei Gong China
Zenghui Cheng China
Valentina O. Püntmann Germany
Christopher Werlein Germany
Zhibing Lu China
Rui Han China
Li Niu China
Jin Gu China View profile →
Citations per field, relative to Lingli Li
Lingli Li · 1×
Citations per year, relative to Lingli Li
Lingli Li · 1×

Countries citing papers authored by Lingli Li

Since Specialization
Citations

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

Fields of papers citing papers by Lingli Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingli Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lingli Li. A scholar is included among the top collaborators of Lingli Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lingli Li. Lingli Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 15
3 6
4 2
5 72
6 18
7 19
8 1
9 17
10
Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19) breakdown →
1928
11 24
12 29
13 154
14 27
15 56
16 12
17 4
18 22
19 41
20 45

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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