Ke Lan

451 total citations
24 papers, 279 citations indexed

About

Ke Lan is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ke Lan has authored 24 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 10 papers in Biomedical Engineering and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ke Lan's work include Non-Invasive Vital Sign Monitoring (10 papers), Heart Rate Variability and Autonomic Control (7 papers) and ECG Monitoring and Analysis (6 papers). Ke Lan is often cited by papers focused on Non-Invasive Vital Sign Monitoring (10 papers), Heart Rate Variability and Autonomic Control (7 papers) and ECG Monitoring and Analysis (6 papers). Ke Lan collaborates with scholars based in China, United States and Canada. Ke Lan's co-authors include Zhengbo Zhang, Zhicheng Yang, Yang Liu, Lu Huang, D. Lissauer, Ling Feng, Junbo Chen, Lance Turtle, Shaoshuai Wang and Yanjun Lu and has published in prestigious journals such as IEEE Transactions on Image Processing, Frontiers in Microbiology and Frontiers in Physiology.

In The Last Decade

Ke Lan

22 papers receiving 266 citations

Peers

Ke Lan
Comparison fields: 5 of 54
  • Obstetrics and Gynecology 109
  • Cardiology and Cardiovascular Medicine 83
  • Public Health, Environmental and Occupational Health 50
  • Biomedical Engineering 36
  • Oncology 35
Replace Carol J. Levy with:
Carol J. Levy United States
Mauro Santos United Kingdom
Chuanzhong Yang China
Kristin Corey United States
Alessandra De Palma Italy
Michael Ng United Kingdom
Priyanka Sethi India
Deb Sanjay Nag India
Mahmoud Ismail United States
David G. Chaffin United States
Carol J. Levy United States View profile →
Citations per field, relative to Ke Lan
Ke Lan · 1×
Citations per year, relative to Ke Lan
Ke Lan · 1×

Countries citing papers authored by Ke Lan

Since Specialization
Citations

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

Fields of papers citing papers by Ke Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Lan. A scholar is included among the top collaborators of Ke Lan 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 Ke Lan. Ke Lan 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 0
2 0
3 1
4 7
5 4
6 8
7 9
8 12
9
Evaluating factors mediating the relationship between male sex and COVID-19 severity
1
10 11
11 1
12 2
13 2
14 2
15 26
16 10
17 4
18 2
19 4
20 36

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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