Xiangwei Kong

1.8k total citations
103 papers, 1.4k citations indexed

About

Xiangwei Kong is a scholar working on Mechanical Engineering, Materials Chemistry and Control and Systems Engineering. According to data from OpenAlex, Xiangwei Kong has authored 103 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Mechanical Engineering, 35 papers in Materials Chemistry and 31 papers in Control and Systems Engineering. Recurrent topics in Xiangwei Kong's work include Machine Fault Diagnosis Techniques (26 papers), Gear and Bearing Dynamics Analysis (14 papers) and Microstructure and Mechanical Properties of Steels (14 papers). Xiangwei Kong is often cited by papers focused on Machine Fault Diagnosis Techniques (26 papers), Gear and Bearing Dynamics Analysis (14 papers) and Microstructure and Mechanical Properties of Steels (14 papers). Xiangwei Kong collaborates with scholars based in China, India and United States. Xiangwei Kong's co-authors include Liangyun Lan, Chunlin Qiu, Olaf Engler, Ping Yang, Dewen Zhao, Yuanhua Lin, Mohd Talha, Xueyi Li, Zhiyong Hu and Yucong Ma and has published in prestigious journals such as Acta Materialia, Journal of Colloid and Interface Science and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiangwei Kong

94 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangwei Kong China 22 807 628 408 237 222 103 1.4k
Shuguang Liu China 20 360 0.4× 500 0.8× 158 0.4× 94 0.4× 172 0.8× 98 1.0k
Lap Mou Tam Macao 21 627 0.8× 202 0.3× 100 0.2× 90 0.4× 95 0.4× 86 1.1k
M. Vasudevan India 34 3.7k 4.5× 590 0.9× 841 2.1× 1.2k 5.0× 156 0.7× 210 4.1k
Yiming Huang China 24 1.2k 1.5× 164 0.3× 407 1.0× 34 0.1× 97 0.4× 79 1.5k
C.J. Bennett United Kingdom 23 860 1.1× 524 0.8× 426 1.0× 22 0.1× 84 0.4× 90 1.7k
Sehun Rhee South Korea 25 1.3k 1.6× 105 0.2× 264 0.6× 81 0.3× 83 0.4× 110 1.6k
Wojciech Macek Poland 27 1.1k 1.4× 310 0.5× 810 2.0× 102 0.4× 22 0.1× 96 1.6k
Mingming Wang China 23 595 0.7× 212 0.3× 167 0.4× 26 0.1× 407 1.8× 115 1.5k
Elineudo Pinho de Moura Brazil 18 441 0.5× 109 0.2× 230 0.6× 129 0.5× 132 0.6× 36 764
Jun Xiong China 30 3.0k 3.7× 248 0.4× 188 0.5× 58 0.2× 76 0.3× 96 3.3k

Countries citing papers authored by Xiangwei Kong

Since Specialization
Citations

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

Fields of papers citing papers by Xiangwei Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangwei Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangwei Kong. A scholar is included among the top collaborators of Xiangwei Kong 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 Xiangwei Kong. Xiangwei Kong 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.
Li, Xueyi, et al.. (2024). A fault diagnosis method with AT-ICNN based on a hybrid attention mechanism and improved convolutional layers. Applied Acoustics. 225. 110191–110191. 21 indexed citations
3.
Fan, Lin, K.R. Ansari, Hao Li, et al.. (2024). Two schiff base as corrosion inhibitors for N80 in 1.0 M HCl: Experimental and theoretical studies. Journal of the Indian Chemical Society. 101(11). 101316–101316. 4 indexed citations
4.
Qi, Haochen, et al.. (2024). FS-PTL: A unified few-shot partial transfer learning framework for partial cross-domain fault diagnosis under limited data scenarios. Knowledge-Based Systems. 305. 112658–112658. 7 indexed citations
5.
Li, Xueyi, et al.. (2024). Fusion innovation: Multi-scale dilated collaborative model of ConvNeXt and MSDA for fault diagnosis. Robotics and Autonomous Systems. 182. 104819–104819.
6.
7.
Jiang, Lili, Jiahao Yang, Chu Wu, et al.. (2024). Fabrication of a robust superhydrophobic coating exhibiting superior corrosion resistance via spray application technique. Colloids and Surfaces A Physicochemical and Engineering Aspects. 687. 133497–133497. 17 indexed citations
8.
Kong, Xiangwei, et al.. (2024). Reliability Estimation of Weibull Distribution with Zero-Failure Data. International Journal of Structural Stability and Dynamics. 25(14).
9.
Kong, Xiangwei, et al.. (2024). SAIT: Harnessing Sparse Annotations and Intrinsic Tasks for Semisupervised Aeroengine Defect Segmentation. IEEE Transactions on Industrial Informatics. 20(8). 10463–10472. 1 indexed citations
10.
Kong, Xiangwei, et al.. (2024). AeroClick: An advanced single-click interactive framework for aeroengine defect segmentation. Expert Systems with Applications. 257. 125093–125093. 2 indexed citations
11.
Kong, Xiangwei, et al.. (2024). Addressing Fine-Grained Lake Water Body Extraction: A Hybrid Approach Combining Vision Transformer and Geodesic Active Contour. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 8 indexed citations
12.
Kong, Xiangwei, et al.. (2024). Exercise‐induced changes in intramuscular total creatine concentration measured with 1H magnetic resonance spectroscopy: A pilot study. Physiological Reports. 12(15). e16171–e16171. 1 indexed citations
13.
Kong, Xiangwei, et al.. (2023). Progressively Learning Dynamic Level Set for Weakly Supervised Industrial Defect Segmentation. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 8 indexed citations
14.
Kong, Xiangwei, et al.. (2023). Experimental study on hydraulic fracture propagation behavior of horizontal well on multilayered rock. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 9(1). 3 indexed citations
15.
Kong, Xiangwei, et al.. (2023). WDLS: Deep Level Set Learning for Weakly Supervised Aeroengine Defect Segmentation. IEEE Transactions on Industrial Informatics. 20(1). 303–313. 18 indexed citations
16.
Kong, Xiangwei, et al.. (2023). Bi-level optimal configuration of shared energy storage for multi-energy microgrid system. IET conference proceedings.. 2023(19). 56–61. 1 indexed citations
17.
Cai, Jin, et al.. (2022). Mathematical Modeling of Sintering Air Leakage through Holes. Energies. 15(12). 4224–4224. 2 indexed citations
18.
Talha, Mohd, Yucong Ma, Yuanhua Lin, et al.. (2020). Corrosion performance of various deformed surfaces of implant steel for coronary stent applications: Effect of protein concentration. Colloids and Surfaces B Biointerfaces. 197. 111407–111407. 4 indexed citations
19.
Talha, Mohd, Yucong Ma, Yuanhua Lin, et al.. (2019). Corrosion performance of cold deformed austenitic stainless steels for biomedical applications. Corrosion Reviews. 37(4). 283–306. 20 indexed citations
20.
Lan, Liangyun, et al.. (2019). Dynamic fracture behavior of low carbon bainitic steel after different welding thermal cycles. Engineering Fracture Mechanics. 220. 106653–106653. 6 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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