Yi Du

848 total citations · 1 hit paper
24 papers, 707 citations indexed

About

Yi Du is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Yi Du has authored 24 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 9 papers in Electrical and Electronic Engineering and 8 papers in Information Systems. Recurrent topics in Yi Du's work include Advanced Computational Techniques and Applications (8 papers), Advanced Decision-Making Techniques (8 papers) and Fault Detection and Control Systems (6 papers). Yi Du is often cited by papers focused on Advanced Computational Techniques and Applications (8 papers), Advanced Decision-Making Techniques (8 papers) and Fault Detection and Control Systems (6 papers). Yi Du collaborates with scholars based in China, United States and France. Yi Du's co-authors include T.G. Habetler, Pinjia Zhang, Bin Lü, Hong Tang, Hong‐Liang Dai, Jie Dang, J. Rhett Mayor, Saeid Haghbin, José Restrepo and Ronald G. Harley and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Industry Applications.

In The Last Decade

Yi Du

23 papers receiving 673 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors

2010 580 citations Pinjia Zhang, Yi Du et al. IEEE Transactions on Industry Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi Du China	7	564	353	261	128	71	24	707
Jeevanand Seshadrinath India	14	704 1.2×	297 0.8×	379 1.5×	150 1.2×	63 0.9×	43	856
Erik Leandro Bonaldi Brazil	13	443 0.8×	292 0.8×	280 1.1×	130 1.0×	54 0.8×	59	654
M. Dalva Norway	8	557 1.0×	395 1.1×	333 1.3×	128 1.0×	95 1.3×	15	760
R.A. Koegl United States	7	727 1.3×	437 1.2×	331 1.3×	144 1.1×	106 1.5×	8	801
Moosa Moghimi Haji Canada	11	426 0.8×	188 0.5×	239 0.9×	98 0.8×	39 0.5×	22	543
Sivakumar Nadarajan Singapore	13	466 0.8×	196 0.6×	301 1.2×	65 0.5×	64 0.9×	42	632
Ioannis Tsoumas Greece	13	434 0.8×	225 0.6×	236 0.9×	97 0.8×	78 1.1×	46	590
Erik Etien France	12	452 0.8×	259 0.7×	270 1.0×	75 0.6×	21 0.3×	37	672
J. Stein United States	10	789 1.4×	494 1.4×	342 1.3×	170 1.3×	126 1.8×	23	924
Marcin Wolkiewicz Poland	16	719 1.3×	365 1.0×	341 1.3×	212 1.7×	68 1.0×	54	840

Countries citing papers authored by Yi Du

Since Specialization

Citations

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

Fields of papers citing papers by Yi Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Du

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Du. A scholar is included among the top collaborators of Yi Du 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 Yi Du. Yi Du 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

1.

Du, Yi, et al.. (2026). Carbon quantum dot-enhanced stimulus-responsive hydrogels for smart food packaging: Sensing, preservation, and AI-enabled predictive quality management. Food Packaging and Shelf Life. 53. 101701–101701.

2.

Tang, Hong, Hong‐Liang Dai, & Yi Du. (2021). Bearing Fault Detection for Doubly fed Induction Generator Based on Stator Current. IEEE Transactions on Industrial Electronics. 69(5). 5267–5276. 10 indexed citations

3.

Du, Yi, et al.. (2021). Probability box theory-based uncertain power flow calculation for power system with wind power. International Journal of Emerging Electric Power Systems. 22(2). 243–253. 5 indexed citations

4.

Tang, Hong, Hong‐Liang Dai, & Yi Du. (2020). Tapered Roller Bearing Failure Diagnosis Based on Improved Probability Box Model. IEEE Access. 8. 151452–151464. 4 indexed citations

5.

Tang, Hong, et al.. (2020). Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM. IEEE Access. 8. 170872–170882. 17 indexed citations

6.

Liu, Ying, et al.. (2020). Bearing Data Model of Correlation Probability Box Based on New G-Copula Function. IEEE Access. 8. 224565–224577. 2 indexed citations

7.

Peng, Tao, et al.. (2019). Mechanical Fault Diagnosis of High Voltage Disconnector Based on Motor Current Detection. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). 48. 1726–1729. 9 indexed citations

8.

Tang, Hong, Yi Du, & Hong‐Liang Dai. (2019). Rolling element bearing diagnosis based on probability box theory. Applied Mathematical Modelling. 80. 944–960. 20 indexed citations

9.

Tang, Hong, et al.. (2017). An improved probability box discretization method for mechanical fault diagnosis. 31. 11011–11016. 2 indexed citations

10.

Tang, Hong, et al.. (2017). Compound fault diagnosis based on probability box theory. 3. 336–341. 3 indexed citations

11.

Chen, Ke, Daozhuo Jiang, Yi Du, Fan Yu, & Yang Zhou. (2014). Parameter Designing of the DC Hybrid Circuit Breaker. 706–709. 2 indexed citations

12.

Du, Yi, et al.. (2014). P-Box Theory and SVM Methods with Application in Pattern Recognition. Applied Mechanics and Materials. 651-653. 472–475. 2 indexed citations

13.

Du, Yi, et al.. (2014). A Probability Box Modeling Method of Dimensionless Mechanical Fault Features in Time Domain. Advances in intelligent systems research. 1 indexed citations

14.

Du, Yi, et al.. (2014). Fault Diagnosis of Power Transformer based on Probability-box Theory. Advances in intelligent systems research. 3 indexed citations

15.

Dang, Jie, Saeid Haghbin, Yi Du, et al.. (2013). Electromagnetic design considerations for a 50,000 rpm 1kW Switched Reluctance Machine using a flux bridge. Chalmers Research (Chalmers University of Technology). 325–331. 25 indexed citations

16.

Zhang, Pinjia, Yi Du, T.G. Habetler, & Bin Lü. (2010). A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors. IEEE Transactions on Industry Applications. 47(1). 34–46. 580 indexed citations breakdown →

17.

Du, Yi, Pinjia Zhang, Zhi Gao, & T.G. Habetler. (2009). Assessment of available methods for estimating rotor temperatures of induction motor. 1340–1345. 3 indexed citations

18.

Du, Yi, Pinjia Zhang, Zhi Gao, & T.G. Habetler. (2009). A novel cooling condition monitoring method for induction motors based on particle swarm optimization. 2321–2325. 1 indexed citations

19.

Du, Yi, et al.. (2008). The application of information fusion in fault diagnosis and equipment monitoring. 36. 126–130. 2 indexed citations

20.

Du, Yi. (2001). Concept Partition Based on Cloud and Its Application to Mining Association Rules. 12 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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