Jian Qu

49 total papers · 609 total citations
35 papers, 482 citations indexed

About

Jian Qu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jian Qu has authored 35 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jian Qu's work include Machine Fault Diagnosis Techniques (7 papers), Gear and Bearing Dynamics Analysis (5 papers) and Natural Language Processing Techniques (5 papers). Jian Qu is often cited by papers focused on Machine Fault Diagnosis Techniques (7 papers), Gear and Bearing Dynamics Analysis (5 papers) and Natural Language Processing Techniques (5 papers). Jian Qu collaborates with scholars based in Canada, China and Thailand. Jian Qu's co-authors include Ming J. Zuo, Zhiliang Liu, Zhipeng Feng, Hongbing Xu, Ramin Moghaddass, Hong‐Zhong Huang, Hong‐Zhong Huang, Youwei Li, Yonghong Zhang and Qi Li and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Mechanical Systems and Signal Processing.

In The Last Decade

Jian Qu

23 papers receiving 436 citations

Author Peers

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

Author						Papers	Cites
Jian Qu	238	194	114	67	64	35	482
Takao Yokota	86 0.4×	125 0.6×	154 1.4×	25 0.4×	89 1.4×	25	518
Hui Shi	154 0.6×	68 0.4×	182 1.6×	36 0.5×	48 0.8×	61	415
Rob Vingerhoeds	246 1.0×	81 0.4×	119 1.0×	43 0.6×	26 0.4×	66	511
Hanwen Zhang	256 1.1×	159 0.8×	187 1.6×	40 0.6×	27 0.4×	41	498
Yindong Ji	262 1.1×	138 0.7×	85 0.7×	20 0.3×	36 0.6×	57	488
Ivo Paixão de Medeiros	236 1.0×	69 0.4×	155 1.4×	52 0.8×	18 0.3×	15	435
Bhupesh Kumar Lad	120 0.5×	94 0.5×	155 1.4×	25 0.4×	19 0.3×	35	475
Tudi Huang	113 0.5×	109 0.6×	104 0.9×	113 1.7×	38 0.6×	30	420
Hui Yu	82 0.3×	139 0.7×	79 0.7×	70 1.0×	24 0.4×	51	517
Darren Prescott	64 0.3×	133 0.7×	166 1.5×	19 0.3×	58 0.9×	35	425

Countries citing papers authored by Jian Qu

Since Specialization

Citations

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

Fields of papers citing papers by Jian Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Qu

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