De-Jun Cheng

428 total citations
25 papers, 291 citations indexed

About

De-Jun Cheng is a scholar working on Mechanical Engineering, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, De-Jun Cheng has authored 25 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 9 papers in Control and Systems Engineering and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in De-Jun Cheng's work include Advanced machining processes and optimization (7 papers), Gear and Bearing Dynamics Analysis (6 papers) and Machine Fault Diagnosis Techniques (5 papers). De-Jun Cheng is often cited by papers focused on Advanced machining processes and optimization (7 papers), Gear and Bearing Dynamics Analysis (6 papers) and Machine Fault Diagnosis Techniques (5 papers). De-Jun Cheng collaborates with scholars based in China, South Korea and Singapore. De-Jun Cheng's co-authors include Shengwen Zhang, Su-Jin Kim, Kaili Zhou, Chun-Hong Park, Chunyan Zhang, Chunyan Zhang, Zhiying Sun, Zejian Li, Yufeng Wang and Zhan Wang and has published in prestigious journals such as The Journal of Organic Chemistry, Expert Systems with Applications and Sensors.

In The Last Decade

De-Jun Cheng

23 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De-Jun Cheng China 11 173 95 83 48 34 25 291
Baobao Qi China 8 247 1.4× 121 1.3× 56 0.7× 96 2.0× 28 0.8× 36 349
Marko Šimić Slovenia 10 163 0.9× 83 0.9× 91 1.1× 46 1.0× 32 0.9× 31 317
Mehmet Ali Güvenç Türkiye 8 169 1.0× 65 0.7× 57 0.7× 49 1.0× 18 0.5× 15 301
Yuekai Liu China 10 212 1.2× 172 1.8× 87 1.0× 51 1.1× 43 1.3× 11 346
Yunhan Kim South Korea 13 214 1.2× 267 2.8× 35 0.4× 65 1.4× 19 0.6× 15 377
Yunus Emre Karabacak Türkiye 9 208 1.2× 95 1.0× 26 0.3× 109 2.3× 23 0.7× 19 284
Hongdi Zhou China 11 222 1.3× 202 2.1× 80 1.0× 92 1.9× 12 0.4× 27 369
Jinyan Guo China 10 118 0.7× 113 1.2× 51 0.6× 58 1.2× 6 0.2× 43 269
K. F. Martin United Kingdom 8 249 1.4× 156 1.6× 47 0.6× 67 1.4× 30 0.9× 19 362
Miaoxin Chang China 8 153 0.9× 176 1.9× 30 0.4× 68 1.4× 8 0.2× 16 331

Countries citing papers authored by De-Jun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by De-Jun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De-Jun Cheng. 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 De-Jun Cheng. The network helps show where De-Jun Cheng may publish in the future.

Co-authorship network of co-authors of De-Jun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of De-Jun Cheng. A scholar is included among the top collaborators of De-Jun Cheng 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 De-Jun Cheng. De-Jun Cheng 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.
Zhang, Xiaoyuan, et al.. (2025). Augmented data-driven dynamic predictive maintenance strategy for multi-state system with RUL-maintenance level trade-off. Mechanical Systems and Signal Processing. 242. 113676–113676.
2.
Cheng, De-Jun, et al.. (2025). SDA-PVTDet: A spatial-cross dual attention pyramid vision transformer detector for casting defect detection in radiography images. Expert Systems with Applications. 269. 126385–126385. 3 indexed citations
3.
Yang, Dan, Ziyi Guo, Hui Zhang, et al.. (2025). Decarboxylative Alkylation of Morita–Baylis–Hillman Acetates with Aliphatic Acids via Photochemical Iron-Mediated Ligand-to-Metal Charge Transfer. The Journal of Organic Chemistry. 90(10). 3665–3672. 8 indexed citations
4.
Zhang, Hui, Dan Yang, Ziyi Guo, et al.. (2025). Visible light-mediated decarboxylative allylic alkylation of Morita–Baylis–Hillman acetates with unactivated aliphatic acids. Organic & Biomolecular Chemistry. 23(13). 3102–3106. 1 indexed citations
5.
Cheng, De-Jun, et al.. (2024). A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer. Computers in Industry. 162. 104138–104138. 6 indexed citations
6.
Li, Zejian, et al.. (2024). Multi-feature spaces cross adaption transfer learning-based bearings piece-wise remaining useful life prediction under unseen degradation data. Advanced Engineering Informatics. 60. 102413–102413. 14 indexed citations
7.
8.
Li, Zejian, et al.. (2024). A novel dual networks-guided self-assessment framework for bearings fault mode diagnosis considering early fault feature diversity. Expert Systems with Applications. 268. 126347–126347. 4 indexed citations
9.
Zhou, Kaili, et al.. (2023). Deep learning-based intelligent multilevel predictive maintenance framework considering comprehensive cost. Reliability Engineering & System Safety. 237. 109357–109357. 15 indexed citations
10.
Cheng, De-Jun, et al.. (2023). Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation. Knowledge-Based Systems. 266. 110391–110391. 37 indexed citations
11.
Zhang, Shengwen, et al.. (2022). A feature-based assembly information modeling method for complex products’ 3D assembly design. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 237(9). 1311–1325. 8 indexed citations
12.
Cheng, De-Jun, et al.. (2022). Analysis of friction fluctuations mechanism of a preloaded roller linear motion guide based on a new 5-DOF dynamic stiffness model. Measurement. 190. 110768–110768. 10 indexed citations
13.
Zhang, Shengwen, et al.. (2021). A technology of efficient configuration of a ship’s critical process equipment. International Journal of Computer Integrated Manufacturing. 34(12). 1370–1381. 4 indexed citations
14.
Cheng, De-Jun, et al.. (2021). Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling. Arabian Journal for Science and Engineering. 46(12). 12309–12330. 4 indexed citations
15.
Cheng, De-Jun, et al.. (2020). Investigation of the Frictional Behavior in a Roller Linear Motion Guide under Mixed EHL. Tribology Transactions. 63(3). 528–542. 12 indexed citations
16.
Cheng, De-Jun, et al.. (2020). A Digital Twin-Driven Approach for On-line Controlling Quality of Marine Diesel Engine Critical Parts. International Journal of Precision Engineering and Manufacturing. 21(10). 1821–1841. 36 indexed citations
17.
Cheng, De-Jun, et al.. (2018). A new approach for predicting wear overlap geometry in ball end finish milling. The International Journal of Advanced Manufacturing Technology. 98(9-12). 2677–2691. 5 indexed citations
18.
Cheng, De-Jun, et al.. (2017). Effect of frictional heat generation on the temperature distribution in roller linear motion rail surface. Journal of Mechanical Science and Technology. 31(3). 1477–1487. 11 indexed citations
19.
Byun, Jai‐Hyun, et al.. (2017). The Comparison of Response Surface and Discharge Energy Methods in Predicting MRR and Roughness of Sink EDM. Journal of The Korean Society of Manufacturing Technology Engineers. 26(5). 466–471. 1 indexed citations
20.
Cheng, De-Jun, et al.. (2014). Friction experiment of linear motion roller guide THK SRG25. International Journal of Precision Engineering and Manufacturing. 15(3). 545–551. 34 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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2026