Fengtao Wang

848 total citations
68 papers, 552 citations indexed

About

Fengtao Wang is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Fengtao Wang has authored 68 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Mechanical Engineering, 14 papers in Control and Systems Engineering and 9 papers in Mechanics of Materials. Recurrent topics in Fengtao Wang's work include Gear and Bearing Dynamics Analysis (32 papers), Tribology and Lubrication Engineering (32 papers) and Additive Manufacturing Materials and Processes (18 papers). Fengtao Wang is often cited by papers focused on Gear and Bearing Dynamics Analysis (32 papers), Tribology and Lubrication Engineering (32 papers) and Additive Manufacturing Materials and Processes (18 papers). Fengtao Wang collaborates with scholars based in China, United States and Israel. Fengtao Wang's co-authors include Minqing Jing, Heng Liu, Jianping Wang, Weiwei Liu, Xingyu Liang, Shitong Peng, Hanru Liu, Lanlan Zhai, Caixia Zhang and Hongwei Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and IEEE Access.

In The Last Decade

Fengtao Wang

61 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fengtao Wang China	13	457	130	108	52	37	68	552
Kim Berglund Sweden	11	255 0.6×	66 0.5×	197 1.8×	61 1.2×	16 0.4×	32	355
Bernd Sauer Germany	16	779 1.7×	135 1.0×	452 4.2×	49 0.9×	59 1.6×	84	941
K. P. Lijesh India	16	510 1.1×	131 1.0×	290 2.7×	80 1.5×	25 0.7×	52	656
Daniel Play France	15	379 0.8×	69 0.5×	282 2.6×	100 1.9×	59 1.6×	37	519
Nan Hou China	8	287 0.6×	64 0.5×	105 1.0×	10 0.2×	26 0.7×	21	363
Zhongwei Yin China	9	261 0.6×	40 0.3×	164 1.5×	14 0.3×	25 0.7×	21	374
Z.Y. Xiang China	14	358 0.8×	53 0.4×	215 2.0×	303 5.8×	28 0.8×	27	469
Jae‐Seung Cheon South Korea	10	209 0.5×	58 0.4×	145 1.3×	198 3.8×	11 0.3×	18	406
Fang Jia China	13	170 0.4×	46 0.4×	27 0.3×	45 0.9×	48 1.3×	44	360

Countries citing papers authored by Fengtao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Fengtao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengtao Wang

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

Peng, Shitong, et al.. (2025). Prediction of 3D temperature field through single 2D temperature data based on transfer learning-based PINN model in laser-based directed energy deposition. Journal of Manufacturing Processes. 138. 140–156. 13 indexed citations

Liao, Zuwei, Ze Wang, Weiwei Liu, et al.. (2025). Physics-informed Fourier-Gaussian-Laplacian neural network for temperature field reconstruction and accurate prediction in laser wire additive manufacturing. Journal of Manufacturing Processes. 157. 871–900.

Li, Shilin, et al.. (2025). Corrosive wear behavior of a new medium manganese steel compared to 316L stainless steel in 3.5% NaCl solution. 3(1). 2 indexed citations

Liu, Weiwei, Jianrong Song, Wanyang Li, et al.. (2024). Structure and properties study of in-situ TiC reinforced 316L materials prepared by laser melting deposition based on Ti3SiC2 decomposition. Ceramics International. 50(22). 48448–48461. 5 indexed citations

Peng, Shitong, Tao Li, Fengtao Wang, et al.. (2024). Integration of improved meta-heuristic and machine learning for optimizing energy efficiency in additive manufacturing process. Energy. 306. 132518–132518. 6 indexed citations

Liang, Xingyu, et al.. (2024). The acoustic-vibration characteristics of cylindrical roller bearings with raceway failures: Simulation and experiment. Measurement. 234. 114918–114918. 4 indexed citations

Peng, Shitong, et al.. (2024). A review on physics-informed machine learning for monitoring metal additive manufacturing process. SHILAP Revista de lepidopterología. 5 indexed citations

Liang, Xingyu, et al.. (2024). Kinetic model and behavior interference analysis for the gear-rotor-bearing coupled system with semi-flexible body element. Mechanical Systems and Signal Processing. 221. 111720–111720. 4 indexed citations

Liu, Weiwei, Huanqiang Liu, Wanyang Li, et al.. (2024). Investigation of molten pool geometry and flow field based on powder-scale modeling in laser directed energy deposition. The International Journal of Advanced Manufacturing Technology. 134(9-10). 4253–4270. 2 indexed citations

10.

Liang, Xingyu, et al.. (2023). Dynamic behavior analysis for cages in gear-bearing system with spalling failure on tooth surface. Engineering Failure Analysis. 154. 107657–107657. 8 indexed citations

11.

Liang, Xingyu, et al.. (2023). Investigation on stability and slip characteristic of the cage in cylindrical roller bearing with localized failure on raceways. Mechanical Systems and Signal Processing. 199. 110469–110469. 16 indexed citations

12.

Liang, Xingyu, et al.. (2023). Dynamic modeling and vibration analysis for the gear-rotor-bearing system with localized failures. Mechanical Systems and Signal Processing. 200. 110551–110551. 32 indexed citations

13.

Wang, Jianping, et al.. (2022). Flow characteristic analysis of a herringbone groove thrust bearing with shaft misalignment. Industrial Lubrication and Tribology. 75(1). 67–73. 4 indexed citations

14.

Wang, Fengtao, et al.. (2022). Defect Diagnosis of Gear-Shaft Bearing System Based on the OWF-TSCNN Composed of Wavelet Time-Frequency Map and FFT Spectrum 1. Shock and Vibration. 2022. 1–14. 4 indexed citations

15.

Wang, Fengtao, et al.. (2022). Vibration Responses of the Bearing-Rotor-Gear System with the Misaligned Rotor. Machines. 10(4). 267–267. 7 indexed citations

16.

Wang, Fengtao, et al.. (2022). In-situ formed graded microstructure and mechanical property of selective laser melted 15–5 PH stainless steel. Materials Science and Engineering A. 847. 143340–143340. 16 indexed citations

17.

Wang, Fengtao, et al.. (2022). Flow Mechanisms and Lubrication Performance of Water-Lubricated Thrust Bearings with Herringbone Grooves. Lubricants. 10(8). 182–182. 8 indexed citations

18.

Wang, Jianping, et al.. (2021). Vibration characteristics of the gear shaft-bearing system with compound defects under variable operating conditions. Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics. 236(1). 113–129. 9 indexed citations

19.

Li, Hui, et al.. (2020). Effect of cage-pocket wear on the dynamic characteristics of ball bearing. Industrial Lubrication and Tribology. 72(7). 905–912. 9 indexed citations

20.

Li, Hui, et al.. (2020). On the dynamic characteristics of ball bearing with cage broken. Industrial Lubrication and Tribology. 72(7). 881–886. 13 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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