Xun Dong

416 total citations · 1 hit paper
8 papers, 288 citations indexed

About

Xun Dong is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Xun Dong has authored 8 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Mechanical Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Xun Dong's work include Machine Fault Diagnosis Techniques (5 papers), Fault Detection and Control Systems (3 papers) and Non-Destructive Testing Techniques (2 papers). Xun Dong is often cited by papers focused on Machine Fault Diagnosis Techniques (5 papers), Fault Detection and Control Systems (3 papers) and Non-Destructive Testing Techniques (2 papers). Xun Dong collaborates with scholars based in China and United States. Xun Dong's co-authors include Yuejian Chen, Gang Niu, Hongli Gao, Liang Guo, Andongzhe Duan, Zhichao You, Wenxin Wu, Yaoxiang Yu, Zhiqiang Chen and Hong‐Liang Song and has published in prestigious journals such as IEEE Access, IEEE Transactions on Instrumentation and Measurement and Measurement.

In The Last Decade

Xun Dong

8 papers receiving 279 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.

Motor Fault Diagnostics Based on Current Signatures: A Review

2023 117 citations Gang Niu, Xun Dong et al. IEEE Transactions on Instrumentation and Measurement profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xun Dong China	5	230	120	65	65	53	8	288
Ao Ding China	8	161 0.7×	99 0.8×	41 0.6×	67 1.0×	40 0.8×	18	267
Tarek Ameid Algeria	12	317 1.4×	126 1.1×	90 1.4×	183 2.8×	20 0.4×	22	405
Zhaoqian Wu China	10	167 0.7×	59 0.5×	33 0.5×	108 1.7×	27 0.5×	29	283
Dongzhen Lyu China	8	216 0.9×	100 0.8×	52 0.8×	86 1.3×	26 0.5×	19	325
Przemysław Pietrzak Poland	9	320 1.4×	143 1.2×	89 1.4×	168 2.6×	13 0.2×	14	392
Feiyu Lu China	11	239 1.0×	99 0.8×	62 1.0×	33 0.5×	61 1.2×	26	297
Marcelo Favoretto Castoldi Brazil	11	181 0.8×	56 0.5×	14 0.2×	212 3.3×	42 0.8×	47	346
Nadir Fergani Algeria	10	288 1.3×	149 1.2×	66 1.0×	111 1.7×	51 1.0×	21	387
X.J. Li China	3	378 1.6×	246 2.0×	162 2.5×	27 0.4×	25 0.5×	5	438
Zhongjun Yin China	7	219 1.0×	189 1.6×	92 1.4×	20 0.3×	24 0.5×	12	328

Countries citing papers authored by Xun Dong

Since Specialization

Citations

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

Fields of papers citing papers by Xun Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Dong. A scholar is included among the top collaborators of Xun Dong 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 Xun Dong. Xun Dong 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:

8 of 8 papers shown

1.

Niu, Gang, Xun Dong, & Yuejian Chen. (2023). Motor Fault Diagnostics Based on Current Signatures: A Review. IEEE Transactions on Instrumentation and Measurement. 72. 1–19. 117 indexed citations breakdown →

2.

Li, Changgen, et al.. (2021). A Transfer Learning Based Method for Incipient Fault Detection. 661–666. 3 indexed citations

3.

Chen, Zhiqiang, Liang Guo, Hongli Gao, et al.. (2021). A fault pulse extraction and feature enhancement method for bearing fault diagnosis. Measurement. 182. 109718–109718. 31 indexed citations

4.

Duan, Andongzhe, et al.. (2020). Deep Focus Parallel Convolutional Neural Network for Imbalanced Classification of Machinery Fault Diagnostics. IEEE Transactions on Instrumentation and Measurement. 69(11). 8680–8689. 86 indexed citations

5.

Dong, Xun, et al.. (2020). Deep Cost Adaptive Convolutional Network: A Classification Method for Imbalanced Mechanical Data. IEEE Access. 8. 71486–71496. 42 indexed citations

6.

Dong, Xun. (2020). Research and Design of Marine Trash Classification Robot Based on Color Recognition. IOP Conference Series Earth and Environmental Science. 514(3). 32043–32043. 3 indexed citations

7.

Song, Hong‐Liang, et al.. (2020). CNC Machine Tool Wear Monitoring Based on Densely Connected Convolutional Networks. 25. 36–41. 4 indexed citations

8.

Dong, Xun, et al.. (2020). Intelligent Evaluation of Crack detection with Laser Ultrasonic technique. IOP Conference Series Earth and Environmental Science. 514(2). 22014–22014. 2 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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