Xiaowen Gong

134 total papers · 3.3k total citations
89 papers, 2.4k citations indexed

About

Xiaowen Gong is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaowen Gong has authored 89 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 28 papers in Artificial Intelligence and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaowen Gong's work include Privacy-Preserving Technologies in Data (22 papers), Mobile Crowdsensing and Crowdsourcing (13 papers) and Cooperative Communication and Network Coding (11 papers). Xiaowen Gong is often cited by papers focused on Privacy-Preserving Technologies in Data (22 papers), Mobile Crowdsensing and Crowdsourcing (13 papers) and Cooperative Communication and Network Coding (11 papers). Xiaowen Gong collaborates with scholars based in United States, China and Hong Kong. Xiaowen Gong's co-authors include Xu Chen, Junshan Zhang, Shuai Yu, Brian Proulx, Di Wu, Zhi Zhou, Sergiy A. Vorobyov, Chintha Tellambura, Ness B. Shroff and Lei Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and The Journal of Infectious Diseases.

In The Last Decade

Xiaowen Gong

87 papers receiving 2.3k citations

Hit Papers

When Deep Reinforcement L... 2020 2026 2022 2024 2020 2022 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaowen Gong 1.2k 835 458 315 234 89 2.4k
Bo Gu 1.1k 0.9× 911 1.1× 333 0.7× 168 0.5× 291 1.2× 121 2.1k
Baoxian Zhang 1.6k 1.3× 1.1k 1.3× 179 0.4× 345 1.1× 140 0.6× 209 2.5k
Chen Wang 646 0.5× 652 0.8× 979 2.1× 89 0.3× 163 0.7× 162 2.5k
Zhiwen Zeng 1.2k 1.0× 836 1.0× 351 0.8× 102 0.3× 283 1.2× 95 2.3k
Qichao Xu 1.9k 1.6× 1.2k 1.5× 575 1.3× 220 0.7× 582 2.5× 121 3.2k
Beakcheol Jang 416 0.3× 595 0.7× 745 1.6× 124 0.4× 189 0.8× 86 1.9k
Xiaoheng Deng 1.4k 1.2× 902 1.1× 637 1.4× 132 0.4× 262 1.1× 174 2.8k
S. S. Iyengar 972 0.8× 408 0.5× 500 1.1× 58 0.2× 90 0.4× 145 2.1k
Miguel A. Zamora 1.2k 1.0× 817 1.0× 352 0.8× 54 0.2× 183 0.8× 89 2.8k
Honglong Chen 949 0.8× 669 0.8× 490 1.1× 315 1.0× 90 0.4× 137 1.9k

Countries citing papers authored by Xiaowen Gong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowen Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowen Gong

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