Zhuo Long

55 total papers · 895 total citations
38 papers, 602 citations indexed

About

Zhuo Long is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Zhuo Long has authored 38 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 12 papers in Electrical and Electronic Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Zhuo Long's work include Machine Fault Diagnosis Techniques (16 papers), Industrial Vision Systems and Defect Detection (7 papers) and Fault Detection and Control Systems (5 papers). Zhuo Long is often cited by papers focused on Machine Fault Diagnosis Techniques (16 papers), Industrial Vision Systems and Defect Detection (7 papers) and Fault Detection and Control Systems (5 papers). Zhuo Long collaborates with scholars based in China, United Kingdom and Japan. Zhuo Long's co-authors include Xiaofei Zhang, Shoudao Huang, Guojun Qin, Dianyi Song, Yao Tang, Gongping Wu, Haidong Shao, Shunquan Tan, Jiwu Huang and Bin Li and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Power Delivery and Energies.

In The Last Decade

Zhuo Long

34 papers receiving 592 citations

Author Peers

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

Author						Papers	Cites
Zhuo Long	374	162	140	98	85	38	602
Jian Miao	228 0.6×	200 1.2×	81 0.6×	88 0.9×	62 0.7×	32	594
Yunkai Wu	417 1.1×	136 0.8×	92 0.7×	58 0.6×	31 0.4×	34	610
Peilin Zhang	409 1.1×	358 2.2×	100 0.7×	33 0.3×	128 1.5×	44	653
Tianyu Gao	432 1.2×	196 1.2×	161 1.1×	39 0.4×	121 1.4×	68	679
Guojun Qin	352 0.9×	209 1.3×	115 0.8×	16 0.2×	148 1.7×	52	594
Wei Gao	322 0.9×	96 0.6×	350 2.5×	63 0.6×	35 0.4×	43	669
Xudong Song	149 0.4×	122 0.8×	35 0.3×	75 0.8×	65 0.8×	49	533
Rui Wu	283 0.8×	129 0.8×	201 1.4×	38 0.4×	73 0.9×	31	662
T.S. Liu	316 0.8×	163 1.0×	88 0.6×	47 0.5×	58 0.7×	44	623
G. R. Sabareesh	415 1.1×	371 2.3×	89 0.6×	23 0.2×	146 1.7×	42	653

Countries citing papers authored by Zhuo Long

Since Specialization

Citations

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

Fields of papers citing papers by Zhuo Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuo Long

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