Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
202389 citationsYanjie Song, Luona Wei et al.Swarm and Evolutionary Computationprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Yingwu 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 Yingwu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingwu Chen more than expected).
This network shows the impact of papers produced by Yingwu 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 Yingwu Chen. The network helps show where Yingwu Chen may publish in the future.
Co-authorship network of co-authors of Yingwu Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yingwu Chen.
A scholar is included among the top collaborators of Yingwu 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 Yingwu Chen. Yingwu Chen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Yingwu. (2013). Scheduling multi-platforms collaborative observation based on cooperative evolution. Journal of National University of Defense Technology.3 indexed citations
9.
Chen, Yingwu, et al.. (2013). Time optimization of knowledge transfer in high-tech enterprises innovation networks. Systems Engineering - Theory & Practice.
10.
Chen, Yingwu. (2012). Stracture Modeling of Weapon Equipment System of Systems Based on Missions and Means Framework. Fire Control and Command Control.1 indexed citations
11.
Chen, Yingwu. (2011). Weapon Equipment System-of-Systems Capability Planning Based on Multi-objective Optimization Model. Journal of National University of Defense Technology.1 indexed citations
12.
Chen, Yingwu. (2008). BP Algorithm of Neural Networks with Cross Connections and Its Application in Cigarette Primary Processing. Jisuanji fangzhen.
13.
Chen, Yingwu. (2008). Dynamic Study on Soil Fungi Population in Artificial Vegetation Areas of Shapotou in Ningxia.1 indexed citations
14.
Chen, Yingwu. (2007). Joint optimization of feature selection and parameters for support vector regression. Computer Engineering and Applications Journal.
15.
Chen, Yingwu. (2007). Temporal Bayesian network and probability inference. Guanli kexue xuebao.2 indexed citations
16.
Chen, Yingwu. (2006). Overviews on Mission Planning System Research. Fire Control and Command Control.2 indexed citations
17.
Chen, Yingwu. (2006). A Study on Customer Satisfaction Measurement Based on Generalized Maximum Entropy. Yunchou yu guanli.
18.
Chen, Yingwu. (2006). On the Markov Characteristic of Dynamic Weapon Target Assignment Problem. Journal of National University of Defense Technology.2 indexed citations
Chen, Yingwu. (2005). A Project Risk Ranking Approach Based on Set Pair Analysis.
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.