Chong Di

576 total citations
54 papers, 391 citations indexed

About

Chong Di is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Chong Di has authored 54 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 39 papers in Control and Systems Engineering and 21 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Chong Di's work include Electric Motor Design and Analysis (44 papers), Magnetic Bearings and Levitation Dynamics (33 papers) and Magnetic Properties and Applications (21 papers). Chong Di is often cited by papers focused on Electric Motor Design and Analysis (44 papers), Magnetic Bearings and Levitation Dynamics (33 papers) and Magnetic Properties and Applications (21 papers). Chong Di collaborates with scholars based in China, Finland and United States. Chong Di's co-authors include Xiaohua Bao, Juha Pyrhönen, Ilya Petrov, Lang Wang, Hanfeng Wang, Qiang Lv, Yigang He, Jiaqing Li, Jiahao Chen and Pia Lindh and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Chong Di

47 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chong Di China 11 307 270 142 142 31 54 391
H. Kapeller Austria 8 236 0.8× 184 0.7× 166 1.2× 130 0.9× 18 0.6× 22 346
Yuguang Sun China 14 465 1.5× 433 1.6× 107 0.8× 244 1.7× 23 0.7× 36 546
Y. Demir Türkiye 11 501 1.6× 295 1.1× 90 0.6× 182 1.3× 16 0.5× 30 537
Zezhi Xing China 12 231 0.8× 205 0.8× 68 0.5× 114 0.8× 18 0.6× 32 286
D.J. Gritter United States 10 366 1.2× 247 0.9× 104 0.7× 77 0.5× 23 0.7× 10 461
Ebrahim Amiri United States 13 563 1.8× 389 1.4× 109 0.8× 197 1.4× 13 0.4× 76 599
Mitja Nemec Slovenia 11 470 1.5× 302 1.1× 96 0.7× 72 0.5× 31 1.0× 48 572
Byeong-Hwa Lee South Korea 9 345 1.1× 195 0.7× 133 0.9× 180 1.3× 16 0.5× 21 378
Vigneshwaran Gurusamy United States 9 200 0.7× 221 0.8× 105 0.7× 72 0.5× 30 1.0× 10 327
Jangho Yun South Korea 13 345 1.1× 381 1.4× 208 1.5× 90 0.6× 47 1.5× 30 512

Countries citing papers authored by Chong Di

Since Specialization
Citations

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

Fields of papers citing papers by Chong Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chong Di

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Di. A scholar is included among the top collaborators of Chong Di 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 Chong Di. Chong Di 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.
2.
Di, Chong, et al.. (2024). A Comprehensive Study of a Universal Non-Parametric Mesh Magnetic Reluctance Network Model for Radial Interior Permanent Magnet Synchronous Machines. IEEE Transactions on Energy Conversion. 40(1). 623–641. 1 indexed citations
3.
Di, Chong, et al.. (2024). A Novel Asymmetric Interior Permanent Magnet Machine with Auxiliary Flux Barriers. IEEJ Transactions on Electrical and Electronic Engineering. 19(7). 1263–1274.
4.
Di, Chong, et al.. (2023). Axis-Shifted Machines With Hybrid Rotors Considering Forward and Reverse Operations. IEEE Transactions on Magnetics. 59(11). 1–6. 1 indexed citations
5.
Di, Chong, Xiaohua Bao, & Wei Jiang. (2023). Performance Prediction of a Ferrite-Assisted Synchronous Reluctance Machine Considering Different Control Strategies Using Open-Source Finite Element Analysis. IEEE Transactions on Magnetics. 59(11). 1–5. 2 indexed citations
6.
Di, Chong & Xiaohua Bao. (2023). A FEA-Based Fast AC Steady-State Algorithm for a Voltage-Driven PMSM by a Novel Voltage-Flux-Driven Model. IEEE Transactions on Industrial Electronics. 71(4). 3935–3943. 2 indexed citations
7.
Di, Chong, et al.. (2023). 2D FEM Based Fast Approach to Predict Electromagnetic Performances of a Variable-Speed FMaSynRM Considering Skewing Effects. Journal of Electrical Engineering and Technology. 19(1). 373–383.
8.
Di, Chong, et al.. (2022). An Efficient Air-Gap Flux Density Analysis Method for the Design of Induction Machines. IEEE Transactions on Magnetics. 58(8). 1–6. 3 indexed citations
9.
Di, Chong, et al.. (2022). Iron Losses Model for Induction Machines Considering the Influence of Rotational Iron Losses. IEEE Transactions on Energy Conversion. 38(2). 971–981. 7 indexed citations
10.
Kurvinen, Emil, Chong Di, Ilya Petrov, et al.. (2021). Design and Manufacturing of a Modular Low-Voltage Multimegawatt High-Speed Solid-Rotor Induction Motor. IEEE Transactions on Industry Applications. 57(6). 6903–6912. 20 indexed citations
11.
Di, Chong, et al.. (2021). Adaptive Suppression of Mode Mixing in CEEMD Based on Genetic Algorithm for Motor Bearing Fault Diagnosis. IEEE Transactions on Magnetics. 58(2). 1–6. 31 indexed citations
12.
Li, Jiaxin, Chong Di, & Xiaohua Bao. (2021). Efficiency Improvement for Submersible Motors by Optimizing the Ratio of Diameter to Shaft Length. IEEE Transactions on Magnetics. 58(2). 1–6. 4 indexed citations
13.
Lindh, Pia, et al.. (2021). Compact Electrohydraulic Energy Converter for Off-Road Machines. 1–5. 1 indexed citations
14.
Chen, Guowei, et al.. (2021). Calculation and Optimization of Thermal Stress in Induction Motor with Double-Skewed Rotor. 2021 24th International Conference on Electrical Machines and Systems (ICEMS). 1445–1449. 2 indexed citations
15.
Di, Chong. (2020). Modeling and Analysis of a High-Speed Solid-Rotor Induction Machine. LUTPub (LUT University). 7 indexed citations
16.
Lindh, Pia, Paula Immonen, Chong Di, Michele Degano, & Juha Pyrhönen. (2019). Solid-Rotor Material Selection for Squirrel-Cage High-Speed Solid-Rotor Induction Machine. Repository@Nottingham (University of Nottingham). 1357–1361. 4 indexed citations
17.
Di, Chong, Ilya Petrov, Juha Pyrhönen, & Jiahao Chen. (2019). Accelerating the Time-Stepping Finite-Element Analysis of Induction Machines in Transient-Magnetic Solutions. IEEE Access. 7. 122251–122260. 14 indexed citations
18.
Di, Chong, et al.. (2018). A Novel Computational Method of Skewing Leakage Reactance for a Doubly Skewed Rotor Induction Motor. IEEE Transactions on Energy Conversion. 33(4). 2174–2182. 5 indexed citations
19.
Xu, Wei, Xiaohua Bao, Chong Di, Lang Wang, & Yuanyang Chen. (2017). Optimal Angle Combination for Improving Electromagnetic Torque in Induction Motor With Double-Skewed Rotor. IEEE Transactions on Magnetics. 53(11). 1–5. 6 indexed citations
20.
Wang, Hanfeng, et al.. (2015). Detection of eccentricity fault using slot leakage flux monitoring. 2188–2193. 4 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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