Kun Hu

1.1k total citations
43 papers, 922 citations indexed

About

Kun Hu is a scholar working on Mechanical Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kun Hu has authored 43 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanical Engineering, 9 papers in Biomedical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kun Hu's work include Mineral Processing and Grinding (10 papers), Belt Conveyor Systems Engineering (6 papers) and Tribology and Wear Analysis (6 papers). Kun Hu is often cited by papers focused on Mineral Processing and Grinding (10 papers), Belt Conveyor Systems Engineering (6 papers) and Tribology and Wear Analysis (6 papers). Kun Hu collaborates with scholars based in China, United Kingdom and Hong Kong. Kun Hu's co-authors include Xian Guo Hu, Yu Xu, Fei Huang, Shulin Lü, Du Yuan, Shusen Wu, Shuang Wang, Yongcun Guo, Junsheng Liu and Cheng Han and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Kun Hu

37 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun Hu China	19	656	326	298	142	117	43	922
Xiaobo Ren Norway	22	1.1k 1.7×	378 1.2×	380 1.3×	57 0.4×	100 0.9×	80	1.6k
Zhiming Zhang China	18	662 1.0×	239 0.7×	138 0.5×	76 0.5×	230 2.0×	92	1.1k
Yao Sun China	24	371 0.6×	256 0.8×	143 0.5×	129 0.9×	203 1.7×	95	1.7k
Jinfeng Zhang China	17	565 0.9×	208 0.6×	287 1.0×	176 1.2×	241 2.1×	101	1.1k
Waheed Sami Abushanab Saudi Arabia	19	477 0.7×	398 1.2×	67 0.2×	98 0.7×	53 0.5×	32	833
Y. J. Chao United States	17	894 1.4×	329 1.0×	526 1.8×	83 0.6×	258 2.2×	56	1.4k
James Rouse United Kingdom	15	576 0.9×	169 0.5×	492 1.7×	55 0.4×	123 1.1×	67	900
Mohit Jain India	12	351 0.5×	117 0.4×	59 0.2×	123 0.9×	92 0.8×	32	605
Jianhui Li China	16	233 0.4×	143 0.4×	102 0.3×	65 0.5×	57 0.5×	58	673

Countries citing papers authored by Kun Hu

Since Specialization

Citations

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

Fields of papers citing papers by Kun Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Hu

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

Li, Jiali, Haijun Xing, Shulin Xue, et al.. (2025). Effects of alumina fibers on densification and thermal properties of BBSCA/Al2O3 low temperature co-fired ceramic composites prepared via aqueous tape casting. Ceramics International. 51(10). 12663–12672. 1 indexed citations

Wan, Xiaoqing, et al.. (2025). LFAH-Net: Laplacian frequency aware hierarchical network for hyperspectral image classification. Digital Signal Processing. 168. 105561–105561.

Wan, Xiaoqing, et al.. (2025). FS-CGNet: Frequency Spectral–Channel Fusion and Cross-Scale Global Aggregation Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–22.

Che, Jinxing, et al.. (2024). A synchronized multi-step wind speed prediction with adaptive features and parameters selection: Insights from an interaction model. Expert Systems with Applications. 255. 124764–124764. 7 indexed citations

Zhang, Lan, Jiali Li, Lin Chen, et al.. (2024). Thermal Sintering Matchability between Low‐Temperature Cofired Ceramic Substrate and Silver Pastes and the Effect of CuO on Silver Diffusion Inhibition. Advanced Engineering Materials. 26(7). 3 indexed citations

Li, Meng, et al.. (2024). Novel Fabrication Method for Pressure-Sensing Polymeric Optical Fiber (POF) Fabric with Non-Direct-Contact Conductive System. Applied Sciences. 14(6). 2284–2284. 1 indexed citations

Wang, Xi, et al.. (2023). Multi-scale coal and gangue detection in dense state based on improved Mask RCNN. Measurement. 221. 113467–113467. 20 indexed citations

Hu, Kun, et al.. (2023). Multi-scale split matching three-dimensional reconstruction method of surface microcracks on the silicon nitride bearing roller. Ceramics International. 50(3). 5624–5635. 3 indexed citations

Wang, Shuang, et al.. (2023). Dual-energy X-ray transmission identification method of multi-thickness coal and gangue based on SVM distance transformation. Fuel. 356. 129593–129593. 16 indexed citations

10.

Wang, Shuang, et al.. (2022). Shape selection recognition and scattering distribution prediction of adhesion targets in multi-scale dual-energy X-ray images of coal and gangue. International Journal of Coal Preparation and Utilization. 43(9). 1561–1582. 5 indexed citations

11.

Hu, Kun, et al.. (2022). Aging and tribological behavior of styrene butadiene rubber conveyor belts under combined seawater dry-wet conditions. Materials Research Express. 9(9). 95305–95305. 2 indexed citations

12.

Wang, Shuang, et al.. (2021). Dielectric and geometric feature extraction and recognition method of coal and gangue based on VMD-SVM. Powder Technology. 392. 241–250. 34 indexed citations

13.

Hu, Kun, Du Yuan, Shulin Lü, & Shusen Wu. (2018). Effects of nano-SiCp content on microstructure and mechanical properties of SiCp/A356 composites assisted with ultrasonic treatment. Transactions of Nonferrous Metals Society of China. 28(11). 2173–2180. 34 indexed citations

14.

Shi, Bin, et al.. (2018). Effects of carbon soot from the combustion of diesel fuels on the tribological properties of lubricating oil and diesel fuels. Industrial Lubrication and Tribology. 70(3). 532–537. 12 indexed citations

15.

Wang, Shuang, et al.. (2016). Optimizing the Pipe Diameter of the Pipe Belt Conveyor Based on Discrete Element Method. 3D Research. 7(1). 7 indexed citations

16.

Hu, Kun, et al.. (2011). Synergistic Effect of Nano-MoS2 and Anatase Nano-TiO2 on the Lubrication Properties of MoS2/TiO2 Nano-Clusters. Tribology Letters. 43(1). 77–87. 46 indexed citations

17.

Hu, Kun, Xian Guo Hu, Yu Xu, Fei Huang, & Junsheng Liu. (2010). The Effect of Morphology on the Tribological Properties of MoS2 in Liquid Paraffin. Tribology Letters. 40(1). 155–165. 138 indexed citations

18.

Hu, Kun, et al.. (2010). Synthesis and photocatalytic properties of nano-MoS2/kaolin composite. Chemical Engineering Journal. 162(2). 836–843. 35 indexed citations

19.

Hu, Kun, et al.. (2010). Synthesis of nano-MoS2/TiO2 composite and its catalytic degradation effect on methyl orange. Journal of Materials Science. 45(10). 2640–2648. 89 indexed citations

20.

Hu, Kun, et al.. (2007). Synthesis and Characterization of Nanosize Molybdenum Disulfide Particles by Quick Homogeneous Precipitation Method. Key engineering materials. 353-358. 2107–2110. 3 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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