3.1k total citations 117 papers, 2.3k citations indexed
About
Yuping Chen is a scholar working on Molecular Biology, Artificial Intelligence and Oncology.
According to data from OpenAlex, Yuping Chen has authored 117 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 25 papers in Artificial Intelligence and 14 papers in Oncology. Recurrent topics in Yuping Chen's work include Metaheuristic Optimization Algorithms Research (19 papers), Evolutionary Algorithms and Applications (15 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Yuping Chen is often cited by papers focused on Metaheuristic Optimization Algorithms Research (19 papers), Evolutionary Algorithms and Applications (15 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). Yuping Chen collaborates with scholars based in China, United States and Taiwan. Yuping Chen's co-authors include Joyce A. Goldstein, Masahiko Negishi, Stephen Ferguson, Hao Zhang, Xiao Xiong, Lishan Kang, Lu Wang, Edward L. LeCluyse, Hongqing Cao and Jingxian Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Gastroenterology.
In The Last Decade
Yuping Chen
108 papers
receiving
2.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Yuping 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 Yuping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuping Chen more than expected).
This network shows the impact of papers produced by Yuping 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 Yuping Chen. The network helps show where Yuping Chen may publish in the future.
Co-authorship network of co-authors of Yuping Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yuping Chen.
A scholar is included among the top collaborators of Yuping Chen 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 Yuping Chen. Yuping Chen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Yuping, et al.. (2013). Identifying Symbols of the Consumer Marketplace From Human Brain Activity. ACR North American Advances.1 indexed citations
Chen, Yuping, et al.. (2008). Chemical constituents from Sappan Lignum. Journal of Chinese Pharmaceutical Sciences. 17(1). 82.23 indexed citations
16.
Chen, Yuping. (2008). Determination of nuciferine in Beagle dog plasma by RP-HPLC and research on its pharmacokinetics. Yaowu fenxi zazhi.2 indexed citations
Chen, Yuping. (2006). Study on chemical components from effective fraction of Qingnaoxuanqiao Formula(II). Journal of Beijing University of Traditional Chinese Medicine.2 indexed citations
19.
Chen, Yuping. (2004). Measurements of the distance and the angle at the cranial base and the cranio-cervical junction on MR central sagittal plane of 106 normal Chinese.
20.
Cao, Hongqing, Lishan Kang, Zbigniew Michalewicz, & Yuping Chen. (1998). A hybrid evolutionary modeling algorithm for system of ordinary differential equations. Neural, Parallel & Scientific Computations archive. 6(2). 171–188.3 indexed citations
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.