Long Yu

1.3k total citations · 1 hit paper
48 papers, 892 citations indexed

About

Long Yu is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Long Yu has authored 48 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanical Engineering, 13 papers in Industrial and Manufacturing Engineering and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Long Yu's work include Railway Engineering and Dynamics (14 papers), Electrical Contact Performance and Analysis (13 papers) and Railway Systems and Energy Efficiency (10 papers). Long Yu is often cited by papers focused on Railway Engineering and Dynamics (14 papers), Electrical Contact Performance and Analysis (13 papers) and Railway Systems and Energy Efficiency (10 papers). Long Yu collaborates with scholars based in China and United Kingdom. Long Yu's co-authors include Dongkai Zhang, Gaoqiang Kang, Shibin Gao, Shibin Gao, Xiaoguang Wei, Jian Xiao, Jian Wang, Lu Han, Muhammad Naveed Iqbal and Jian Xiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Long Yu

46 papers receiving 873 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.

Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning

2018 219 citations Gaoqiang Kang, Shibin Gao 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
Long Yu China	18	279	248	206	203	110	48	892
Jianwei Yang China	21	794 2.8×	150 0.6×	269 1.3×	103 0.5×	152 1.4×	125	1.5k
Wu Deng China	22	248 0.9×	114 0.5×	86 0.4×	175 0.9×	131 1.2×	57	1.3k
Ivan Jordanov United Kingdom	16	97 0.3×	115 0.5×	79 0.4×	124 0.6×	45 0.4×	53	706
Dengyu Xiao China	21	523 1.9×	112 0.5×	327 1.6×	50 0.2×	166 1.5×	47	1.3k
Erkan Ülker Türkiye	19	88 0.3×	173 0.7×	31 0.2×	197 1.0×	37 0.3×	51	872
Shubin Zheng China	13	282 1.0×	73 0.3×	152 0.7×	63 0.3×	133 1.2×	63	711
Guodong Sun China	14	239 0.9×	163 0.7×	51 0.2×	166 0.8×	115 1.0×	76	732
Zhibo Wan China	10	91 0.3×	158 0.6×	65 0.3×	138 0.7×	69 0.6×	17	581
Ping Yan China	18	98 0.4×	138 0.6×	18 0.1×	504 2.5×	44 0.4×	47	1.0k

Countries citing papers authored by Long Yu

Since Specialization

Citations

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

Fields of papers citing papers by Long Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Long Yu. A scholar is included among the top collaborators of Long Yu 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 Long Yu. Long Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Zhen, Qiang Chen, Qiping Chen, et al.. (2024). A Synergistic Effect of Remnant Cholesterol and C-Reactive Protein on Predicting the Severity of Coronary Artery Disease. Journal of Inflammation Research. Volume 17. 11291–11303. 2 indexed citations

Gao, Shibin, et al.. (2024). A Real-Time Siamese Network Based on Knowledge Distillation for Insulator Defect Detection of Overhead Contact Lines. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 2 indexed citations

Xiong, Shiqiang, et al.. (2024). Better performance of the APPLE score for the prediction of very early atrial fibrillation recurrence post-ablation. Hellenic Journal of Cardiology. 88. 36–48. 3 indexed citations

Quan, Wei, et al.. (2023). A Novel Arcing Detection Model of Pantograph–Catenary for High-Speed Train in Complex Scenes. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 13 indexed citations

Su, Hong, Yi Cao, Qiang Chen, et al.. (2023). The association between fibrinogen levels and severity of coronary artery disease and long-term prognosis following percutaneous coronary intervention in patients with type 2 diabetes mellitus. Frontiers in Endocrinology. 14. 1287855–1287855. 2 indexed citations

Luo, Yan, et al.. (2023). Acute and long-term outcomes of pulmonary vein isolation and left atrial substrate modification for non-paroxysmal atrial fibrillation: a non-randomized trial. Cardiovascular Diagnosis and Therapy. 13(6). 1056–1067.

Xiong, Shiqiang, Yan Luo, Qiang Chen, et al.. (2023). Adjustment of the GRACE score by the stress hyperglycemia ratio improves the prediction of long-term major adverse cardiac events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: A multicenter retrospective study. Diabetes Research and Clinical Practice. 198. 110601–110601. 10 indexed citations

Xiong, Shiqiang, Qiang Chen, Long Yu, et al.. (2023). Association of the triglyceride–glucose index with coronary artery disease complexity in patients with acute coronary syndrome. Cardiovascular Diabetology. 22(1). 56–56. 31 indexed citations

Tang, Yan, et al.. (2023). Including hemoglobin levels and female sex provide the additional predictive value of the APPLE score for atrial fibrillation recurrence post-catheter ablation. Hellenic Journal of Cardiology. 82. 54–65. 5 indexed citations

10.

Xiong, Shiqiang, Qiang Chen, Zhen Zhang, et al.. (2022). A synergistic effect of the triglyceride-glucose index and the residual SYNTAX score on the prediction of intermediate-term major adverse cardiac events in patients with type 2 diabetes mellitus undergoing percutaneous coronary intervention. Cardiovascular Diabetology. 21(1). 115–115. 22 indexed citations

11.

Xiong, Shiqiang, Qiang Chen, Jun Hou, et al.. (2022). Adjustment of the GRACE score by the triglyceride glucose index improves the prediction of clinical outcomes in patients with acute coronary syndrome undergoing percutaneous coronary intervention. Cardiovascular Diabetology. 21(1). 145–145. 26 indexed citations

12.

Wang, Jian, Shibin Gao, Long Yu, et al.. (2022). Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model. Reliability Engineering & System Safety. 231. 109016–109016. 27 indexed citations

13.

Gao, Shibin, et al.. (2021). Marginal frequent itemset mining for fault prevention of railway overhead contact system. ISA Transactions. 126. 276–287. 7 indexed citations

14.

Kang, Gaoqiang, et al.. (2019). Contact Wire Support Defect Detection Using Deep Bayesian Segmentation Neural Networks and Prior Geometric Knowledge. IEEE Access. 7. 173366–173376. 17 indexed citations

15.

Liu, Shiwang, Long Yu, & Dongkai Zhang. (2019). An Efficient Method for High-Speed Railway Dropper Fault Detection Based on Depthwise Separable Convolution. IEEE Access. 7. 135678–135688. 23 indexed citations

16.

Gao, Shibin, et al.. (2019). A Novel Fault Prevention Model for Metro Overhead Contact System. IEEE Access. 7. 91850–91859. 5 indexed citations

17.

Yu, Long, et al.. (2019). FHI: A Fault Intensity-based Hierarchical Association Analysis Model for Mining Fault Database of Railway OCS. 616–621. 3 indexed citations

18.

Kang, Gaoqiang, Shibin Gao, Long Yu, & Dongkai Zhang. (2018). Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning. IEEE Transactions on Instrumentation and Measurement. 68(8). 2679–2690. 219 indexed citations breakdown →

19.

Ma, Shaochun, et al.. (2016). Effect of Cane Stool Density and Stubble Height on Sugarcane Stubble Damage in Hawaii Fields. Transactions of the ASABE. 59(3). 813–820. 8 indexed citations

20.

Yu, Long, Jian Xiao, & Song Wang. (2008). Reduced-set vector-based interval type-2 fuzzy neural network. WSEAS Transactions on Computers archive. 7(10). 1574–1583. 1 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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