Bingying Li

19 papers receiving 248 citations

Peers

Bingying Li
Comparison fields: 5 of 84
  • Modeling and Simulation 79
  • Infectious Diseases 76
  • Public Health, Environmental and Occupational Health 81
  • Health, Toxicology and Mutagenesis 38
  • Transportation 12
Replace Breno Souza de Aguiar with:
Breno Souza de Aguiar Brazil
Huanchang Yan China
Thang Nguyen-Tien Vietnam
Sanjay Basu United Kingdom
Sarah Goldie Australia
Libera Clemente Italy
Jigyasa Rana India
George W. Santarpia United States
Hengcong Liu China
Anwar Musah United Kingdom
Bingying Li relative to Breno Souza de Aguiar Brazil Breno Souza de Aguiar's profile →
Citations per field
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Breno Souza de Aguiar · 1×
Citations per year

Countries citing papers authored by Bingying Li

Since Specialization
Citations

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

Fields of papers citing papers by Bingying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bingying Li, 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 Bingying Li Line = papers co-authored together Bingying Li 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 202292
2 202143
3 202131
4
A threshold-free summary index of prediction accuracy for censored time to event data.
201813
5 202411
6 20249
7 20248
8 20227
9 20247
10 20247
11 20246
12 20235
13 20234
14 20243
15 20243
16 20231
17 20231
18 20241
19 20201
20 20250

About Bingying Li

Bingying Li is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Infectious Diseases, Modeling and Simulation and Molecular Biology, having authored 24 papers that have together received 253 indexed citations. Recurring topics across this work include Membrane-based Ion Separation Techniques (6 papers), COVID-19 epidemiological studies (6 papers), Advanced Battery Materials and Technologies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Microplastics and Plastic Pollution (2 papers), Antenna Design and Analysis (2 papers), COVID-19 Clinical Research Studies (2 papers) and COVID-19 impact on air quality (2 papers). The work is most often cited by research in Modeling and Simulation (79 citations), Infectious Diseases (76 citations), Public Health, Environmental and Occupational Health (81 citations), Health, Toxicology and Mutagenesis (38 citations) and Transportation (12 citations). Bingying Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huaiyu Tian, Nils Chr. Stenseth, Youngjoon Hong, Chieh‐Hsi Wu, Mark Jit, Nikos I Bosse, Oliver J. Brady, Bernard Cazelles, Raman Velayudhan and Yuyang Chen. Their work appears in journals such as Separation and Purification Technology, IEEE Antennas and Wireless Propagation Letters, One Health, Journal of Colloid and Interface Science and Desalination.

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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