Xiaoyan Hong

187 total papers · 5.9k total citations
131 papers, 4.0k citations indexed

About

Xiaoyan Hong is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Xiaoyan Hong has authored 131 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Networks and Communications, 48 papers in Electrical and Electronic Engineering and 25 papers in Artificial Intelligence. Recurrent topics in Xiaoyan Hong's work include Opportunistic and Delay-Tolerant Networks (59 papers), Mobile Ad Hoc Networks (55 papers) and Vehicular Ad Hoc Networks (VANETs) (30 papers). Xiaoyan Hong is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (59 papers), Mobile Ad Hoc Networks (55 papers) and Vehicular Ad Hoc Networks (VANETs) (30 papers). Xiaoyan Hong collaborates with scholars based in United States, China and Japan. Xiaoyan Hong's co-authors include Mário Gerla, Guangyu Pei, Ching‐Chuan Chiang, Kaixin Xu, Jiejun Kong, M. Geria, Jiejun Kong, Dijiang Huang, Susan V. Vrbsky and Jun Liu and has published in prestigious journals such as Physical Review Letters, Science Advances and The Journal of the Acoustical Society of America.

In The Last Decade

Xiaoyan Hong

125 papers receiving 3.6k citations

Hit Papers

A group mobility model fo... 1999 2026 2008 2017 1999 2002 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
Xiaoyan Hong 3.6k 1.6k 573 195 137 131 4.0k
Douglas J. Leith 3.3k 0.9× 2.6k 1.6× 616 1.1× 357 1.8× 220 1.6× 229 5.9k
Chonggang Wang 4.1k 1.1× 3.5k 2.2× 399 0.7× 285 1.5× 384 2.8× 214 5.6k
Zihuai Lin 1.1k 0.3× 1.3k 0.9× 648 1.1× 273 1.4× 166 1.2× 158 2.5k
Li Su 1.6k 0.4× 2.1k 1.3× 181 0.3× 390 2.0× 180 1.3× 120 3.1k
Feng Xiao 4.7k 1.3× 883 0.6× 247 0.4× 313 1.6× 48 0.4× 149 5.9k
Parameswaran Ramanathan 4.1k 1.2× 2.3k 1.5× 447 0.8× 135 0.7× 139 1.0× 150 5.1k
Katia Obraczka 5.6k 1.6× 2.3k 1.4× 425 0.7× 163 0.8× 368 2.7× 170 6.2k
Wei Song 1.5k 0.4× 1.3k 0.8× 468 0.8× 162 0.8× 244 1.8× 162 2.5k
Biao Chen 1.4k 0.4× 1.5k 1.0× 728 1.3× 136 0.7× 119 0.9× 190 2.4k
Fabrizio Granelli 2.4k 0.7× 1.9k 1.2× 269 0.5× 403 2.1× 383 2.8× 257 3.5k

Countries citing papers authored by Xiaoyan Hong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Hong. A scholar is included among the top collaborators of Xiaoyan Hong 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 Xiaoyan Hong. Xiaoyan Hong 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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