Jing Hu

76 total papers · 774 total citations
60 papers, 580 citations indexed

About

Jing Hu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jing Hu has authored 60 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 36 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Jing Hu's work include Cognitive Radio Networks and Spectrum Sensing (34 papers), Distributed Sensor Networks and Detection Algorithms (18 papers) and Advanced MIMO Systems Optimization (15 papers). Jing Hu is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (34 papers), Distributed Sensor Networks and Detection Algorithms (18 papers) and Advanced MIMO Systems Optimization (15 papers). Jing Hu collaborates with scholars based in China, Bangladesh and United States. Jing Hu's co-authors include Tiecheng Song, Jun Wu, Miao Liu, Guan Gui, Jie Yang, Cong Wang, Yue Yu, Lianfeng Shen, Cong Wang and Xi Li and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Jing Hu

54 papers receiving 566 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Hu 405 290 131 94 46 60 580
Tuo Shi 347 0.9× 273 0.9× 87 0.7× 72 0.8× 31 0.7× 51 667
Huang Wei 300 0.7× 194 0.7× 60 0.5× 62 0.7× 31 0.7× 63 603
Marco Martalò 382 0.9× 278 1.0× 103 0.8× 41 0.4× 34 0.7× 73 555
Dhaval K. Patel 386 1.0× 271 0.9× 105 0.8× 52 0.6× 126 2.7× 68 562
Tao Wu 262 0.6× 165 0.6× 156 1.2× 52 0.6× 29 0.6× 80 565
Su Min Kim 398 1.0× 493 1.7× 50 0.4× 44 0.5× 28 0.6× 74 629
Abbass Nasser 333 0.8× 254 0.9× 37 0.3× 49 0.5× 44 1.0× 53 510
Chengkang Pan 243 0.6× 358 1.2× 143 1.1× 117 1.2× 37 0.8× 56 688
Laura Pierucci 326 0.8× 325 1.1× 107 0.8× 115 1.2× 86 1.9× 68 617
Zhenghao Zhang 385 1.0× 479 1.7× 51 0.4× 83 0.9× 44 1.0× 65 684

Countries citing papers authored by Jing Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Hu

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