Zijun Que

556 total citations
13 papers, 447 citations indexed

About

Zijun Que is a scholar working on Control and Systems Engineering, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Zijun Que has authored 13 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 8 papers in Mechanical Engineering and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Zijun Que's work include Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (7 papers) and Reliability and Maintenance Optimization (5 papers). Zijun Que is often cited by papers focused on Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (7 papers) and Reliability and Maintenance Optimization (5 papers). Zijun Que collaborates with scholars based in China, United States and Hong Kong. Zijun Que's co-authors include Xiaohang Jin, Zhengguo Xu, Yi Sun, Yu Wang, Tommy W. S. Chow, Wei Qiao, Yi Xiong, Yi Sun‡, Ziqian Kong and Ziqi Wang and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Industry Applications.

In The Last Decade

Zijun Que

11 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zijun Que China 7 346 196 126 89 50 13 447
Emil Bjørlykhaug Norway 6 338 1.0× 105 0.5× 127 1.0× 81 0.9× 51 1.0× 8 462
Junqiang Liu China 9 242 0.7× 112 0.6× 89 0.7× 69 0.8× 35 0.7× 26 399
Chris Mechefske Canada 8 406 1.2× 169 0.9× 120 1.0× 58 0.7× 34 0.7× 11 506
Kamal Medjaher France 4 276 0.8× 122 0.6× 136 1.1× 70 0.8× 24 0.5× 8 385
Chengying Zhao China 13 339 1.0× 233 1.2× 101 0.8× 115 1.3× 56 1.1× 30 544
Omer F. Eker United Kingdom 12 247 0.7× 140 0.7× 96 0.8× 55 0.6× 41 0.8× 19 389
Seokgoo Kim South Korea 15 412 1.2× 284 1.4× 105 0.8× 124 1.4× 52 1.0× 29 626
Yizhen Peng China 10 467 1.3× 250 1.3× 235 1.9× 136 1.5× 47 0.9× 27 644
Emna Laajili France 2 241 0.7× 76 0.4× 114 0.9× 57 0.6× 29 0.6× 2 343
Racha Khelif France 4 249 0.7× 77 0.4× 122 1.0× 58 0.7× 30 0.6× 4 351

Countries citing papers authored by Zijun Que

Since Specialization
Citations

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

Fields of papers citing papers by Zijun Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zijun Que

This figure shows the co-authorship network connecting the top 25 collaborators of Zijun Que. A scholar is included among the top collaborators of Zijun Que 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 Zijun Que. Zijun Que is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kong, Ziqian, et al.. (2024). Remaining Useful Life Prediction of Radioisotope Thermoelectric Generator Using a Component-Level Mechanism-Based Nonlinear Additive Wiener Process. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 1 indexed citations
2.
3.
Que, Zijun, et al.. (2023). Remaining Useful Life Prediction Based on Incremental Learning. IEEE Transactions on Reliability. 73(2). 876–884. 7 indexed citations
4.
5.
Que, Zijun, Xiaohang Jin, & Zhengguo Xu. (2021). Remaining Useful Life Prediction for Bearings Based on a Gated Recurrent Unit. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 106 indexed citations
6.
Que, Zijun, et al.. (2020). Detecting Coal Pulverizing System Anomaly Using a Gated Recurrent Unit and Clustering. Sensors. 20(11). 3271–3271. 3 indexed citations
7.
Que, Zijun, et al.. (2020). Predicting Remaining Useful Life with Uncertainty Using Recurrent Neural Process. 291–296. 6 indexed citations
8.
Jin, Xiaohang, et al.. (2019). A Data-Driven Approach for Bearing Fault Prognostics. IEEE Transactions on Industry Applications. 55(4). 3394–3401. 67 indexed citations
9.
Jin, Xiaohang, Zijun Que, & Yi Sun‡. (2019). Development of Vibration-Based Health Indexes for Bearing Remaining Useful Life Prediction. 1–6. 2 indexed citations
10.
Que, Zijun & Zhengguo Xu. (2019). A Data-Driven Health Prognostics Approach for Steam Turbines Based on Xgboost and DTW. IEEE Access. 7. 93131–93138. 35 indexed citations
11.
Que, Zijun, Yi Xiong, & Zhengguo Xu. (2019). A Semi-supervised Approach for Steam Turbine Health Prognostics Based on GAN and PF. 1476–1480. 6 indexed citations
12.
Jin, Xiaohang, et al.. (2018). A Data-Driven Approach for Bearing Fault Prognostics. 56 57. 1–8. 25 indexed citations
13.
Jin, Xiaohang, Yi Sun, Zijun Que, Yu Wang, & Tommy W. S. Chow. (2016). Anomaly Detection and Fault Prognosis for Bearings. IEEE Transactions on Instrumentation and Measurement. 65(9). 2046–2054. 189 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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