Quanbo Ge

109 total papers · 1.2k total citations
91 papers, 910 citations indexed

About

Quanbo Ge is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Quanbo Ge has authored 91 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 41 papers in Computer Networks and Communications and 40 papers in Control and Systems Engineering. Recurrent topics in Quanbo Ge's work include Target Tracking and Data Fusion in Sensor Networks (51 papers), Distributed Sensor Networks and Detection Algorithms (28 papers) and Fault Detection and Control Systems (26 papers). Quanbo Ge is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (51 papers), Distributed Sensor Networks and Detection Algorithms (28 papers) and Fault Detection and Control Systems (26 papers). Quanbo Ge collaborates with scholars based in China, United States and United Kingdom. Quanbo Ge's co-authors include Chenglin Wen, Shaodong Chen, Zhansheng Duan, Haoyu Jiang, Xingfa Shen, Qinmin Yang, Zhenyu Lu, Wenbin Li, Peijiang Yuan and Zhijun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

In The Last Decade

Quanbo Ge

85 papers receiving 886 citations

Author Peers

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

Author						Papers	Cites
Quanbo Ge	462	356	266	249	219	91	910
Dragan Obradović	270 0.6×	202 0.6×	287 1.1×	247 1.0×	119 0.5×	85	961
Jung Min Pak	356 0.8×	207 0.6×	366 1.4×	167 0.7×	221 1.0×	40	783
S. Challa	647 1.4×	222 0.6×	123 0.5×	256 1.0×	266 1.2×	48	898
Benjamin Noack	758 1.6×	394 1.1×	130 0.5×	523 2.1×	162 0.7×	100	1.0k
Sangjin Hong	346 0.7×	121 0.3×	353 1.3×	286 1.1×	151 0.7×	92	931
Luis Antonio Ribot García	272 0.6×	248 0.7×	208 0.8×	222 0.9×	95 0.4×	89	1.0k
Fendy Santoso	249 0.5×	580 1.6×	123 0.5×	251 1.0×	377 1.7×	59	1.0k
Nicola Bezzo	207 0.4×	381 1.1×	113 0.4×	280 1.1×	149 0.7×	75	763
Fernando Matı́a	354 0.8×	243 0.7×	141 0.5×	217 0.9×	276 1.3×	74	992
Khalid A. Alattas	183 0.4×	525 1.5×	137 0.5×	135 0.5×	114 0.5×	62	931

Countries citing papers authored by Quanbo Ge

Since Specialization

Citations

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

Fields of papers citing papers by Quanbo Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanbo Ge

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