Chengjin Qin

4.0k total citations
104 papers, 3.1k citations indexed

About

Chengjin Qin is a scholar working on Mechanical Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Chengjin Qin has authored 104 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Mechanical Engineering, 39 papers in Control and Systems Engineering and 37 papers in Civil and Structural Engineering. Recurrent topics in Chengjin Qin's work include Tunneling and Rock Mechanics (29 papers), Advanced machining processes and optimization (27 papers) and Machine Fault Diagnosis Techniques (27 papers). Chengjin Qin is often cited by papers focused on Tunneling and Rock Mechanics (29 papers), Advanced machining processes and optimization (27 papers) and Machine Fault Diagnosis Techniques (27 papers). Chengjin Qin collaborates with scholars based in China, Australia and Germany. Chengjin Qin's co-authors include Chengliang Liu, Jianfeng Tao, Dengyu Xiao, Yanrui Jin, Yixiang Huang, Honggan Yu, Haotian Shi, Chengliang Liu, Liqun Zhao and Haoren Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Chengjin Qin

97 papers receiving 3.0k citations

Peers

Chengjin Qin
Chengjin Qin
Citations per year, relative to Chengjin Qin Chengjin Qin (= 1×) peers Jianfeng Tao

Countries citing papers authored by Chengjin Qin

Since Specialization
Citations

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

Fields of papers citing papers by Chengjin Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjin Qin

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

All Works

20 of 20 papers shown
1.
Qin, Chengjin, et al.. (2026). A Novel Shield Machine Main Bearing Health Evaluation Approach Based on Two-Stage Signal Decomposition. IEEE Transactions on Industrial Informatics. 22(3). 1635–1646. 3 indexed citations
3.
Qin, Chengjin, et al.. (2026). Generalized envelope nonlinear Gini index-gram guided two-stage chirp mode decomposition for shield machine main bearing fault diagnosis. Advanced Engineering Informatics. 71. 104354–104354. 2 indexed citations
4.
Wang, Shijie, et al.. (2024). A digital twin framework for anomaly detection in industrial robot system based on multiple physics-informed hybrid convolutional autoencoder. Journal of Manufacturing Systems. 77. 798–809. 6 indexed citations
5.
Ou, Li, et al.. (2024). A novel multi-channel CNN-LSTM and transformer-based network for diesel engine misfire diagnosis under different noise conditions. Science China Technological Sciences. 67(9). 2965–2967. 4 indexed citations
6.
Qin, Chengjin, et al.. (2024). Geological type recognition for shield machine using a semi-supervised variational auto-encoder-based adversarial method. Tunnelling and Underground Space Technology. 156. 106258–106258. 14 indexed citations
7.
Liu, Yunqing, Chengjin Qin, Yuanyuan Tian, et al.. (2024). Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data. IEEE Transactions on Instrumentation and Measurement. 73. 1–17. 1 indexed citations
8.
Qin, Chengjin, et al.. (2024). A novel decomposition and hybrid transfer learning-based method for multi-step cutterhead torque prediction of shield machine. Mechanical Systems and Signal Processing. 214. 111362–111362. 6 indexed citations
9.
Qin, Chengjin, et al.. (2024). Towards complex multi-component pulse signal with strong noise: Deconvolution and time–frequency assisted mode decomposition. Mechanical Systems and Signal Processing. 212. 111274–111274. 8 indexed citations
10.
Qin, Chengjin, et al.. (2024). A real-time multi-head mixed attention mechanism-based prediction method for tunnel boring machine disc cutter wear. Science China Technological Sciences. 68(1). 11 indexed citations
12.
Yu, Honggan, Hao Sun, Jianfeng Tao, et al.. (2023). A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction. Automation in Construction. 147. 104734–104734. 53 indexed citations
13.
Qin, Chengjin, et al.. (2023). Towards precise complex AM-FM signals decomposition under strong noise conditions: A novel two-level chirp mode decomposition approach. Mechanical Systems and Signal Processing. 200. 110602–110602. 9 indexed citations
14.
Qin, Chengjin, et al.. (2023). MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines. Expert Systems with Applications. 238. 121797–121797. 12 indexed citations
15.
Xia, Pengcheng, Yixiang Huang, Chengjin Qin, et al.. (2023). Adaptive Feature Utilization With Separate Gating Mechanism and Global Temporal Convolutional Network for Remaining Useful Life Prediction. IEEE Sensors Journal. 23(18). 21408–21420. 17 indexed citations
16.
Wang, Danning, et al.. (2022). Detection of Green Asparagus Using Improved Mask R-CNN for Automatic Harvesting. Sensors. 22(23). 9270–9270. 8 indexed citations
17.
Tao, Jianfeng, et al.. (2022). A Roller State-Based Fault Diagnosis Method for Tunnel Boring Machine Main Bearing Using Two-Stream CNN With Multichannel Detrending Inputs. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 17 indexed citations
18.
Jin, Yanrui, Chengjin Qin, Jinlei Liu, et al.. (2021). A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 19 indexed citations
19.
Jin, Yanrui, Jinlei Liu, Yunqing Liu, et al.. (2021). A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 42 indexed citations
20.
Shi, Haotian, Haoren Wang, Chengjin Qin, Liqun Zhao, & Chengliang Liu. (2019). An incremental learning system for atrial fibrillation detection based on transfer learning and active learning. Computer Methods and Programs in Biomedicine. 187. 105219–105219. 55 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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