Ke Lan

451 citations
24 papers · 279 · h-index 9

Impact in

Papers in

Ke Lan

22 papers receiving 266 citations

Peers

Ke Lan
Comparison fields: 5 of 54
  • Obstetrics and Gynecology 109
  • Anesthesiology and Pain Medicine 32
  • Cardiology and Cardiovascular Medicine 83
  • Public Health, Environmental and Occupational Health 50
  • Pediatrics, Perinatology and Child Health 31
Replace Carol J. Levy with:
Carol J. Levy United States
Mauro Santos United Kingdom
Chuanzhong Yang China
Kristin Corey United States
Shiraz Badurdeen Australia
Alessandra De Palma Italy
Deb Sanjay Nag India
Kristyn Beam United States
Priyanka Sethi India
Daniel Laxar Austria
Ke Lan relative to Carol J. Levy United States Carol J. Levy's profile →
Citations per field
00.5×6.4×
Carol J. Levy · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Coronavirus Disease 2019 (COVID-19) During Pregnancy: A Case Series
2020115
2 200236
3 201926
4 202112
5 202111
6 201910
7 20229
8 20159
9 20228
10 20178
11 20227
12 20195
13 20224
14 20134
15 20184
16 20192
17 20142
18 20212
19 20212
20
Evaluating factors mediating the relationship between male sex and COVID-19 severity
20211

About Ke Lan

Ke Lan is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Surgery, having authored 24 papers that have together received 279 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (10 papers), Heart Rate Variability and Autonomic Control (7 papers), ECG Monitoring and Analysis (6 papers), Visual Attention and Saliency Detection (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers) and Healthcare Technology and Patient Monitoring (2 papers). The work is most often cited by research in Obstetrics and Gynecology (109 citations), Anesthesiology and Pain Medicine (32 citations), Cardiology and Cardiovascular Medicine (83 citations), Public Health, Environmental and Occupational Health (50 citations) and Pediatrics, Perinatology and Child Health (31 citations). Ke Lan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhengbo Zhang, Zhicheng Yang, Yongli Zhang, Ling Chen, Liming Xia, Lu Huang, Weiyong Liu, Lance Turtle, Hongjie Yu and Yanjun Lu. Their work appears in journals such as Frontiers in Physiology, Frontiers in Oncology, JMIR mhealth and uhealth, Biomedical Signal Processing and Control and IEEE Transactions on Image Processing.

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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