Rubing Chen

67 papers receiving 3.6k citations

Peers

Rubing Chen
Comparison fields: 5 of 127
  • Infectious Diseases 2.1k
  • Public Health, Environmental and Occupational Health 2.2k
  • Agronomy and Crop Science 426
  • Insect Science 406
  • Epidemiology 1.0k
Replace Yong‐Qiang Deng with:
Yong‐Qiang Deng China
C. Todd Davis United States
Jorge E. Osorio United States
Stephen Higgs United States
Kristen A. Bernard United States
Jorge L. Muñoz‐Jordán United States
Mary Jane Cardosa Malaysia
Kevin R. Porter United States
Shannan L. Rossi United States
Margo A. Brinton United States
Rubing Chen relative to Yong‐Qiang Deng China Yong‐Qiang Deng's profile →
Citations per field
00.5×1.5×1.8×
Yong‐Qiang Deng · 1×
Citations per year

Countries citing papers authored by Rubing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Rubing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008324
2 2010296
3 2011213
4 2008199
5 2012193
6 2006190
7 2011177
8 2014168
9 2018166
10 2011139
11 2011125
12 2016109
13 201296
14 201695
15 201690
16 201379
17 201773
18 201572
19 201662
20 202059

About Rubing Chen

Rubing Chen is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Industrial and Manufacturing Engineering, Computer Networks and Communications and Molecular Biology, having authored 70 papers that have together received 3.7k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (26 papers), Viral Infections and Vectors (23 papers), Scheduling and Optimization Algorithms (16 papers), Malaria Research and Control (14 papers), Optimization and Search Problems (11 papers), Assembly Line Balancing Optimization (9 papers), Advanced Manufacturing and Logistics Optimization (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Public Health, Environmental and Occupational Health (2.2k citations), Agronomy and Crop Science (426 citations), Insect Science (406 citations) and Epidemiology (1.0k citations). Rubing Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Scott C. Weaver, Edward C. Holmes, Konstantin A. Tsetsarkin, Nikos Vasilakis, Stephen Higgs, Farooq Nasar, Grace Leal, Naomi L. Forrester, Dan T. Stinchcomb and Jill A. Livengood. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, European Journal of Operational Research, Proceedings of the National Academy of Sciences, PLoS neglected tropical diseases and Journal of Virology.

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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