Jing Lou

49 total papers · 2.1k total citations
20 papers, 1.2k citations indexed

About

Jing Lou is a scholar working on Modeling and Simulation, Economics and Econometrics and Infectious Diseases. According to data from OpenAlex, Jing Lou has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Modeling and Simulation, 5 papers in Economics and Econometrics and 4 papers in Infectious Diseases. Recurrent topics in Jing Lou's work include COVID-19 epidemiological studies (7 papers), COVID-19 Clinical Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Jing Lou is often cited by papers focused on COVID-19 epidemiological studies (7 papers), COVID-19 Clinical Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Jing Lou collaborates with scholars based in China, Singapore and Thailand. Jing Lou's co-authors include Sijia Tian, Huixin Lian, Shengmei Niu, Xuqin Kang, Jinjun Zhang, Luxi Zhang, Jianren Li, Ning Liu, Dou Li and Gang Chen and has published in prestigious journals such as PLoS ONE, American Journal of Public Health and International Journal of Environmental Research and Public Health.

In The Last Decade

Jing Lou

19 papers receiving 1.1k citations

Hit Papers

Characteristics of COVID-... 2020 2026 2022 2024 2020 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jing Lou 631 353 231 207 181 20 1.2k
Huixin Lian 622 1.0× 352 1.0× 222 1.0× 206 1.0× 179 1.0× 11 1.1k
Shengmei Niu 625 1.0× 354 1.0× 222 1.0× 206 1.0× 179 1.0× 10 1.1k
Xuqin Kang 625 1.0× 355 1.0× 222 1.0× 205 1.0× 179 1.0× 10 1.1k
Kunyuan Han 566 0.9× 367 1.0× 135 0.6× 204 1.0× 222 1.2× 12 1.3k
Synat Keam 491 0.8× 194 0.5× 169 0.7× 199 1.0× 152 0.8× 14 1.2k
Travis Eastin 782 1.2× 310 0.9× 125 0.5× 155 0.7× 250 1.4× 14 1.5k
Aleksandra Marinkovic 793 1.3× 306 0.9× 160 0.7× 189 0.9× 192 1.1× 30 1.3k
Fangqiang Wei 554 0.9× 180 0.5× 190 0.8× 187 0.9× 215 1.2× 32 1.4k
Hui Chen 993 1.6× 420 1.2× 202 0.9× 153 0.7× 274 1.5× 32 1.4k
Priyank Desai 608 1.0× 273 0.8× 142 0.6× 170 0.8× 188 1.0× 11 1.0k

Countries citing papers authored by Jing Lou

Since Specialization
Citations

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

Fields of papers citing papers by Jing Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Lou. A scholar is included among the top collaborators of Jing Lou 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 Jing Lou. Jing Lou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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