Jian Qu

610 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), Autonomous Vehicle Technology and Safety (5 papers) and Gear and Bearing Dynamics Analysis (5 papers). Jian Qu is often cited by papers focused on Machine Fault Diagnosis Techniques (7 papers), Autonomous Vehicle Technology and Safety (5 papers) and Gear and Bearing Dynamics Analysis (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, Wenzhen Liu and Hong‐Yan Chen 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jian Qu Canada	10	238	194	114	67	64	35	482
Zhen Chen China	15	226 0.9×	103 0.5×	334 2.9×	64 1.0×	62 1.0×	63	665
Hui Shi China	11	163 0.7×	71 0.4×	186 1.6×	37 0.6×	50 0.8×	62	434
Hanwen Zhang China	14	264 1.1×	164 0.8×	194 1.7×	40 0.6×	27 0.4×	44	519
Ivo Paixão de Medeiros Brazil	9	237 1.0×	69 0.4×	155 1.4×	52 0.8×	18 0.3×	15	437
Dezhen Yang China	14	169 0.7×	89 0.5×	220 1.9×	54 0.8×	62 1.0×	36	562
Takao Yokota Japan	11	86 0.4×	127 0.7×	154 1.4×	26 0.4×	89 1.4×	25	520
Jiangbin Zhao China	16	202 0.8×	95 0.5×	372 3.3×	59 0.9×	120 1.9×	54	684
Sheng Guo China	8	506 2.1×	265 1.4×	158 1.4×	174 2.6×	14 0.2×	24	691
Tudi Huang China	13	120 0.5×	109 0.6×	107 0.9×	115 1.7×	39 0.6×	30	434
Hong-Zhong Huang China	7	126 0.5×	123 0.6×	104 0.9×	80 1.2×	22 0.3×	12	560

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Youwei & Jian Qu. (2024). A novel neural network architecture and cross-model transfer learning for multi-task autonomous driving. Data Technologies and Applications. 58(5). 693–717. 2 indexed citations

Shang, Shi, et al.. (2024). Enhancing Autonomous Driving: A Novel Approach of Mixed Attack and Physical Defense Strategies. 28(1). e254093–e254093.

Qu, Jian, et al.. (2024). A Study on Bilingual Deep Learning PIS Neural Network Model Based on Graph-Text Modal Fusion. ECTI Transactions on Computer and Information Technology (ECTI-CIT). 19(1). 13–24. 1 indexed citations

Qu, Jian, et al.. (2023). Research on Multi-tasking Smart Cars Based on Autonomous Driving Systems. SN Computer Science. 4(3). 3 indexed citations

Qu, Jian, et al.. (2020). Date of Birth Information Extraction from the Internet by Deep Learning Approach. 139–143. 1 indexed citations

Li, Zhan, et al.. (2019). MILDMS: Multiple Instance Learning via DD Constraint and Multiple Part Similarity. Symmetry. 11(9). 1080–1080. 3 indexed citations

Qu, Jian, et al.. (2018). A Combined Method for Analysing Critical Success Factors on ERP Implementation. 285. 1–6. 8 indexed citations

Qu, Jian, et al.. (2018). An Investigation of ERP implementation: : A Comparative Case Study of SME and Large Enterprises in Thailand. 7 indexed citations

Hu, Gangyi, et al.. (2018). A Noise-Robust Image Encryption Algorithm Based on Hyper Chaotic Cellular Neural Network. Journal of Digital Information Management. 16(5). 246–246. 4 indexed citations

10.

Qu, Jian, et al.. (2016). Automatic identification and multi-translatable translation of vocabulary terms with a combined approach. 1. 342–348.

11.

Qu, Jian, Hong‐Yan Chen, Wenzhen Liu, Bing Zhang, & Zhibin Li. (2015). Application of SVM Based on Improved Grid Search in Quantitative Analysis of CO2 Gas. Advances in intelligent systems research.

12.

Chen, Hong‐Yan, Wenzhen Liu, Jian Qu, & Zhibin Li. (2015). Application of SVM in Gas Sensor: Quantitative Analysis of CO2. Advances in engineering research. 2 indexed citations

13.

Feng, Zhipeng, et al.. (2013). Joint amplitude and frequency demodulation analysis based on local mean decomposition for fault diagnosis of planetary gearboxes. Mechanical Systems and Signal Processing. 40(1). 56–75. 101 indexed citations

14.

Liu, Zhiliang, Jian Qu, Ming J. Zuo, & Hongbing Xu. (2012). Fault level diagnosis for planetary gearboxes using hybrid kernel feature selection and kernel Fisher discriminant analysis. The International Journal of Advanced Manufacturing Technology. 67(5-8). 1217–1230. 67 indexed citations

15.

Qu, Jian, et al.. (2011). Feature selection for damage degree classification of planetary gearboxes using support vector machine. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 225(9). 2250–2264. 32 indexed citations

16.

Moghaddass, Ramin, Ming J. Zuo, & Jian Qu. (2011). Reliability and Availability Analysis of a Repairable $k$-out-of-$n:G$ System With $R$ Repairmen Subject to Shut-Off Rules. IEEE Transactions on Reliability. 60(3). 658–666. 45 indexed citations

17.

Qu, Jian & Ming J. Zuo. (2011). An LSSVR-based algorithm for online system condition prognostics. Expert Systems with Applications. 39(5). 6089–6102. 34 indexed citations

18.

Liu, Zhiliang, Ming J. Zuo, Jian Qu, & Hongbing Xu. (2011). Classification of gear damage levels in planetary gearboxes. 1–5. 12 indexed citations

19.

Qu, Jian & Ming J. Zuo. (2010). Support vector machine based data processing algorithm for wear degree classification of slurry pump systems. Measurement. 43(6). 781–791. 48 indexed citations

20.

Wang, Yu, et al.. (2008). A SVM classifier combined with PCA for ultrasonic crack size classification. Conference proceedings - Canadian Conference on Electrical and Computer Engineering. 1627–1630. 5 indexed citations

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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