Long Xu

42 total papers · 647 total citations
34 papers, 475 citations indexed

About

Long Xu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Long Xu has authored 34 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 8 papers in Electrical and Electronic Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Long Xu's work include Adaptive Control of Nonlinear Systems (10 papers), Iterative Learning Control Systems (7 papers) and Microgrid Control and Optimization (5 papers). Long Xu is often cited by papers focused on Adaptive Control of Nonlinear Systems (10 papers), Iterative Learning Control Systems (7 papers) and Microgrid Control and Optimization (5 papers). Long Xu collaborates with scholars based in China, Australia and Singapore. Long Xu's co-authors include Xinghuo Yu, Huazhou Hou, Zhenwei Cao, Kamal Rsetam, Wenjun Xiong, Lei Yu, Guohua Song, Tingwen Huang, Chenggang Cui and Chuanlin Zhang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Long Xu

33 papers receiving 469 citations

Author Peers

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

Author						Papers	Cites
Long Xu	331	113	85	72	71	34	475
Bijan Moaveni	310 0.9×	122 1.1×	34 0.4×	119 1.7×	64 0.9×	64	532
Zhongjiu Zheng	362 1.1×	71 0.6×	81 1.0×	38 0.5×	29 0.4×	26	491
Shuyou Yu	365 1.1×	104 0.9×	25 0.3×	59 0.8×	193 2.7×	48	509
Xiao Wang	355 1.1×	50 0.4×	48 0.6×	96 1.3×	24 0.3×	26	497
Yang Zhu	461 1.4×	66 0.6×	120 1.4×	20 0.3×	83 1.2×	34	511
Swaminathan Gopalswamy	310 0.9×	48 0.4×	26 0.3×	44 0.6×	65 0.9×	36	418
Jiao Li	268 0.8×	143 1.3×	56 0.7×	218 3.0×	35 0.5×	46	531
Guoqi Ma	349 1.1×	102 0.9×	188 2.2×	9 0.1×	61 0.9×	48	531
Manuela Tufo	416 1.3×	117 1.0×	54 0.6×	50 0.7×	326 4.6×	21	539
Andrea Zanelli	408 1.2×	72 0.6×	30 0.4×	32 0.4×	110 1.5×	35	548

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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