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.
Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
2012482 citationsJianshu Chen, Ali H. Sayedprofile →
Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior
2013352 citationsAli H. Sayed, Jianshu Chen et al.profile →
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 Jianshu 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 Jianshu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianshu Chen more than expected).
This network shows the impact of papers produced by Jianshu 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 Jianshu Chen. The network helps show where Jianshu Chen may publish in the future.
Co-authorship network of co-authors of Jianshu Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jianshu Chen.
A scholar is included among the top collaborators of Jianshu 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 Jianshu Chen. Jianshu Chen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Alipourfard, Omid, Hongqiang Harry Liu, Jianshu Chen, et al.. (2017). Cherrypick: adaptively unearthing the best cloud configurations for big data analytics. Networked Systems Design and Implementation. 469–482.227 indexed citations
Zhao, Yue, Jianshu Chen, & H. Vincent Poor. (2017). A Learning-to-Infer Method for Real-Time Power Grid Topology Identification.. arXiv (Cornell University).7 indexed citations
14.
Chen, Jianshu, et al.. (2016). Study on Stratigraphical Division and Correlation of the Neoproterozoic "Xiajiang Group"in Hunan,Guizhou and Guangxi Province: Discuss on the Reboot of Xiajiang System. 62(5). 1114.1 indexed citations
15.
Chen, Jianshu, Ji He, Yelong Shen, et al.. (2015). End-to-end learning of LDA by mirror-descent back propagation over a deep architecture. Neural Information Processing Systems. 28. 1765–1773.11 indexed citations
Chen, Jianshu & Li Deng. (2014). A Primal-Dual Method for Training Recurrent Neural Networks Constrained by the Echo-State Property. International Conference on Learning Representations.11 indexed citations
18.
Towfic, Zaid J., Jianshu Chen, & Ali H. Sayed. (2012). Distributed Learning via Diffusion Adaptation with Application to Ensemble Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 245–250.1 indexed citations
19.
Chen, Jianshu. (2011). SHRIMP U-Pb dating of intrusive alaskite in the Fanjigshan Group and alaskite basal conglomerates: constraints on the deposition of the Xiajiang Group. Zhongguo dizhi.8 indexed citations
20.
Shi, Lu‐E, Guoqing Ying, Xiaoying Zhang, et al.. (2007). Medium Optimization for 5’-Phosphodiesterase Production from Penicillium citrinum Using Response Surface Methodology. SHILAP Revista de lepidopterología.1 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.