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.
In-Band Full-Duplex Wireless: Challenges and Opportunities
20141.6k citationsAshutosh Sabharwal, Philip Schniter et al.IEEE Journal on Selected Areas in Communicationsprofile →
Mutual Information and Minimum Mean-Square Error in Gaussian Channels
2005746 citationsDongning Guo, Sergio Verdú et al.IEEE Transactions on Information Theoryprofile →
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 Dongning Guo'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 Dongning Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongning Guo more than expected).
This network shows the impact of papers produced by Dongning Guo. 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 Dongning Guo. The network helps show where Dongning Guo may publish in the future.
Co-authorship network of co-authors of Dongning Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Dongning Guo.
A scholar is included among the top collaborators of Dongning Guo 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 Dongning Guo. Dongning Guo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Guo, Dongning, et al.. (2018). Deep Reinforcement Learning for Distributed Dynamic Power Allocation in Wireless Networks.. arXiv (Cornell University).24 indexed citations
Sabharwal, Ashutosh, Philip Schniter, Dongning Guo, et al.. (2014). In-Band Full-Duplex Wireless: Challenges and Opportunities. IEEE Journal on Selected Areas in Communications. 32(9). 1637–1652.1642 indexed citations breakdown →
Guo, Dongning, Jun Luo, Lei Zhang, & Kai Shen. (2010). Compressed Neighbor Discovery for Wireless Networks. arXiv (Cornell University).14 indexed citations
14.
Zhu, Yan & Dongning Guo. (2010). The Degrees of Freedom of MIMO Interference Channels without State Information at Transmitters. IEEE Transactions on Information Theory. 1–25.12 indexed citations
15.
Guo, Dongning, et al.. (2006). Belief propagation is asymptotically equivalent to MAP estimation for sparse linear systems. 926–935.5 indexed citations
16.
Meshkati, Farhad, H. Vincent Poor, S.C. Schwartz, & Dongning Guo. (2005). A unified power control algorithm for multiuser detectors in large systems: Convergence and performance. arXiv (Cornell University). 956–965.1 indexed citations
17.
Guo, Dongning & Sergio Verdú. (2003). Spectral efficiency of large-system CDMA via statistical physics.8 indexed citations
18.
Guo, Dongning & Sergio Verdú. (2003). Decoupling of CDMA multiuser detection via the replica method.4 indexed citations
Lim, Teng Joon, Dongning Guo, & Lars K. Rasmussen. (1998). Noise enhancement in the family of decorrelating detectors for multiuser CDMA. Asia-Pacific Conference on Communications.2 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.