Long Xu

49 total papers · 512 total citations
28 papers, 405 citations indexed

About

Long Xu is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Long Xu has authored 28 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 13 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Long Xu's work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Stability and Control of Uncertain Systems (8 papers) and Distributed Sensor Networks and Detection Algorithms (7 papers). Long Xu is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (10 papers), Stability and Control of Uncertain Systems (8 papers) and Distributed Sensor Networks and Detection Algorithms (7 papers). Long Xu collaborates with scholars based in China, Saudi Arabia and United Kingdom. Long Xu's co-authors include Quanshi Chen, Junping Wang, Dongyan Chen, Kemao Ma, Xiaohui Liu, Yurong Liu, Qingkai Shen, Yan Zheng, Jun Hu and Wenshuo Li and has published in prestigious journals such as Energy Conversion and Management, IEEE Access and Journal of Materials Processing Technology.

In The Last Decade

Long Xu

20 papers receiving 391 citations

Author Peers

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

Author						Papers	Cites
Long Xu	186	171	166	127	90	28	405
Kang Li	103 0.6×	76 0.4×	222 1.3×	185 1.5×	47 0.5×	21	494
Dawei Pan	141 0.8×	242 1.4×	209 1.3×	127 1.0×	28 0.3×	21	476
Zhang Chen	168 0.9×	147 0.9×	112 0.7×	56 0.4×	29 0.3×	29	390
Zhiying Wu	232 1.2×	36 0.2×	123 0.7×	41 0.3×	98 1.1×	30	451
Kangkang Xu	153 0.8×	141 0.8×	163 1.0×	112 0.9×	15 0.2×	27	407
Nadjet Zioui	57 0.3×	114 0.7×	129 0.8×	97 0.8×	27 0.3×	44	395
Sen Li	185 1.0×	38 0.2×	173 1.0×	45 0.4×	47 0.5×	50	402
Li Cai	172 0.9×	163 1.0×	171 1.0×	58 0.5×	12 0.1×	40	405
Gürkan Soykan	185 1.0×	75 0.4×	300 1.8×	27 0.2×	30 0.3×	32	458
Zhidong Qi	330 1.8×	45 0.3×	109 0.7×	33 0.3×	122 1.4×	40	436

Countries citing papers authored by Long Xu

Since Specialization

Citations

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

Fields of papers citing papers by Long Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Xu

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