Jiedi Sun

1.2k total citations · 1 hit paper
21 papers, 1.0k citations indexed

About

Jiedi Sun is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Jiedi Sun has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Civil and Structural Engineering, 10 papers in Control and Systems Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Jiedi Sun's work include Machine Fault Diagnosis Techniques (8 papers), Water Systems and Optimization (7 papers) and Structural Integrity and Reliability Analysis (5 papers). Jiedi Sun is often cited by papers focused on Machine Fault Diagnosis Techniques (8 papers), Water Systems and Optimization (7 papers) and Structural Integrity and Reliability Analysis (5 papers). Jiedi Sun collaborates with scholars based in China and United States. Jiedi Sun's co-authors include Jiangtao Wen, Changhong Yan, Qiyang Xiao, Fei Wang, Ying Zhang, Jian Li, Shijiu Jin, Rongrong Fu, Yuxia Li and Shengnan Yan and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Jiedi Sun

20 papers receiving 987 citations

Hit Papers

Intelligent Bearing Fault Diagnosis Method Combining Comp... 2017 2026 2020 2023 2017 100 200 300
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.

  1. Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning
    2017 344 citations Jiedi Sun, Changhong Yan 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 Career Trend Papers Cites
Jiedi Sun China 14 527 458 330 232 194 21 1.0k
Zahoor Ahmad South Korea 18 315 0.6× 310 0.7× 270 0.8× 158 0.7× 204 1.1× 44 788
Yongteng Zhong China 20 747 1.4× 684 1.5× 447 1.4× 556 2.4× 176 0.9× 51 1.4k
Shaohua Tian China 21 511 1.0× 623 1.4× 801 2.4× 471 2.0× 144 0.7× 68 1.7k
Gang Tang China 24 877 1.7× 572 1.2× 133 0.4× 310 1.3× 115 0.6× 72 1.4k
Xuejun Li China 21 801 1.5× 773 1.7× 229 0.7× 384 1.7× 133 0.7× 134 1.5k
Luigi Garibaldi Italy 20 782 1.5× 619 1.4× 978 3.0× 405 1.7× 61 0.3× 115 1.6k
Zhinong Jiang China 22 1.1k 2.1× 819 1.8× 190 0.6× 430 1.9× 76 0.4× 78 1.5k
Wenhua Du China 19 1.2k 2.3× 851 1.9× 202 0.6× 369 1.6× 49 0.3× 44 1.6k
Yue Hu China 18 798 1.5× 431 0.9× 278 0.8× 272 1.2× 42 0.2× 46 1.1k
Feiyun Xu China 17 458 0.9× 377 0.8× 297 0.9× 265 1.1× 45 0.2× 69 911

Countries citing papers authored by Jiedi Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jiedi Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiedi Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jiedi Sun. A scholar is included among the top collaborators of Jiedi Sun 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 Jiedi Sun. Jiedi Sun 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.
Sun, Jiedi, et al.. (2022). Leakage aperture identification of natural gas pipeline based on compressed acquisition and DSAE. Structural Health Monitoring. 22(4). 2856–2867. 4 indexed citations
3.
Sun, Jiedi, et al.. (2022). Multiple hierarchical compression for deep neural network toward intelligent bearing fault diagnosis. Engineering Applications of Artificial Intelligence. 116. 105498–105498. 35 indexed citations
4.
Sun, Jiedi, et al.. (2021). Bearing Fault Diagnosis Based on Multiple Transformation Domain Fusion and Improved Residual Dense Networks. IEEE Sensors Journal. 22(2). 1541–1551. 43 indexed citations
5.
Fu, Rongrong, et al.. (2019). Scaling Analysis of Phase Fluctuations of Brain Networks in Dynamic Constrained Object Manipulation. International Journal of Neural Systems. 30(2). 2050002–2050002. 15 indexed citations
6.
Xiao, Qiyang, et al.. (2018). Natural-gas pipeline leak location using variational mode decomposition analysis and cross-time–frequency spectrum. Measurement. 124. 163–172. 85 indexed citations
7.
Sun, Jiedi, Changhong Yan, & Jiangtao Wen. (2017). Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning. IEEE Transactions on Instrumentation and Measurement. 67(1). 185–195. 344 indexed citations breakdown →
8.
Sun, Jiedi, Zhitao Peng, & Jiangtao Wen. (2017). Leakage aperture recognition based on ensemble local mean decomposition and sparse representation for classification of natural gas pipeline. Measurement. 108. 91–100. 22 indexed citations
9.
Sun, Jiedi, Yang Yu, & Jiangtao Wen. (2017). Compressed-Sensing Reconstruction Based on Block Sparse Bayesian Learning in Bearing-Condition Monitoring. Sensors. 17(6). 1454–1454. 15 indexed citations
10.
Sun, Jiedi, et al.. (2016). The Frequency-dividing Multiple Matching and Subtraction Technology Based on Shearlet Transform. 78th EAGE Conference and Exhibition 2016. 1–3. 2 indexed citations
11.
12.
Sun, Jiedi, Qiyang Xiao, Jiangtao Wen, & Ying Zhang. (2015). Natural gas pipeline leak aperture identification and location based on local mean decomposition analysis. Measurement. 79. 147–157. 99 indexed citations
13.
Sun, Jiedi, Qiyang Xiao, Jiangtao Wen, & Ying Zhang. (2015). Natural gas leak location with K–L divergence-based adaptive selection of Ensemble Local Mean Decomposition components and high-order ambiguity function. Journal of Sound and Vibration. 347. 232–245. 33 indexed citations
14.
Sun, Jiedi, Yuxia Li, Jiangtao Wen, & Shengnan Yan. (2015). Novel mixing matrix estimation approach in underdetermined blind source separation. Neurocomputing. 173. 623–632. 42 indexed citations
15.
Sun, Jiedi, Qiyang Xiao, Jiangtao Wen, & Fei Wang. (2014). Natural gas pipeline small leakage feature extraction and recognition based on LMD envelope spectrum entropy and SVM. Measurement. 55. 434–443. 153 indexed citations
16.
17.
Wen, Jiangtao, et al.. (2012). A new binarization method for non-uniform illuminated document images. Pattern Recognition. 46(6). 1670–1690. 33 indexed citations
18.
Sun, Jiedi, Jinquan Zhang, & Xiaojun Wang. (2012). Multi-Sensor Data Fusion and Target Location in Pipeline Monitoring and a Pre-Warning System Based on Multi-Seismic Sensors. 961–974. 4 indexed citations
19.
Wen, Jiangtao & Jiedi Sun. (2010). Research on target localization method based on characteristic frequency of empirical mode decomposition. 26. V2–118. 4 indexed citations
20.

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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