Songping He

866 total citations
37 papers, 652 citations indexed

About

Songping He is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Songping He has authored 37 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 11 papers in Industrial and Manufacturing Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Songping He's work include Advanced machining processes and optimization (22 papers), Advanced Measurement and Metrology Techniques (9 papers) and Manufacturing Process and Optimization (7 papers). Songping He is often cited by papers focused on Advanced machining processes and optimization (22 papers), Advanced Measurement and Metrology Techniques (9 papers) and Manufacturing Process and Optimization (7 papers). Songping He collaborates with scholars based in China, United Kingdom and Taiwan. Songping He's co-authors include Hongqi Liu, Xinyong Mao, Kai Li, Bin Li, Bo Luo, Fangyu Peng, Bin Li, Bin Li, Fuqiang Zhong and Bo Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Pattern Recognition.

In The Last Decade

Songping He

30 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songping He China 16 483 229 157 136 91 37 652
Xinyong Mao China 20 958 2.0× 335 1.5× 259 1.6× 299 2.2× 158 1.7× 75 1.1k
Zhichao You China 11 351 0.7× 159 0.7× 141 0.9× 90 0.7× 136 1.5× 28 647
Jiao Li China 15 437 0.9× 152 0.7× 274 1.7× 172 1.3× 75 0.8× 63 725
Brian Surgenor Canada 17 238 0.5× 163 0.7× 127 0.8× 94 0.7× 308 3.4× 89 755
Nagayoshi Kasashima Japan 11 363 0.8× 88 0.4× 114 0.7× 99 0.7× 178 2.0× 31 548
Pascal Ray France 16 776 1.6× 288 1.3× 170 1.1× 454 3.3× 322 3.5× 37 1.0k
Guang Yu China 16 493 1.0× 193 0.8× 110 0.7× 325 2.4× 423 4.6× 48 835
Jintao Lai China 13 309 0.6× 59 0.3× 154 1.0× 48 0.4× 173 1.9× 51 702

Countries citing papers authored by Songping He

Since Specialization
Citations

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

Fields of papers citing papers by Songping He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songping He

This figure shows the co-authorship network connecting the top 25 collaborators of Songping He. A scholar is included among the top collaborators of Songping He 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 Songping He. Songping He 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
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Zhu, Qiu‐Ning, Hongqi Liu, Chenyu Bao, et al.. (2024). Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios. Advanced Engineering Informatics. 61. 102445–102445. 14 indexed citations
4.
He, Songping, Yi Zou, Bin Li, et al.. (2024). An image inpainting-based data augmentation method for improved sclerosed glomerular identification performance with the segmentation model EfficientNetB3-Unet. Scientific Reports. 14(1). 1033–1033. 3 indexed citations
5.
Zhang, Lei, et al.. (2024). Adaptive digital twin for multi-variety production: a knowledge model-driven modeling approach with process information digital model interaction support. The International Journal of Advanced Manufacturing Technology. 133(9-10). 4501–4523.
6.
He, Songping, et al.. (2024). A novel method to predict white blood cells after kidney transplantation based on machine learning. Digital Health. 10. 599931819–599931819. 1 indexed citations
7.
Liu, Hongqi, Xinyong Mao, Qiu‐Ning Zhu, et al.. (2024). Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting. The International Journal of Advanced Manufacturing Technology. 131(12). 6115–6135. 2 indexed citations
8.
Mao, Xinyong, Tao Ma, Songping He, et al.. (2023). A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics. Advanced Engineering Informatics. 57. 102106–102106. 36 indexed citations
9.
Li, Weiye, Songping He, Xinyong Mao, et al.. (2023). Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment. Journal of Manufacturing Systems. 67. 424–438. 16 indexed citations
10.
He, Songping, et al.. (2022). Research on the Modelling and Development of Flexibility in Production System Design Phase Driven by Digital Twins. Applied Sciences. 12(5). 2537–2537. 6 indexed citations
11.
Li, Bin, et al.. (2022). A novel method for machine tool structure condition monitoring based on knowledge graph. The International Journal of Advanced Manufacturing Technology. 120(1-2). 563–582. 12 indexed citations
12.
Li, Kai, et al.. (2022). A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS. Advanced Engineering Informatics. 55. 101850–101850. 4 indexed citations
13.
Niu, Shuanlong, et al.. (2021). Defect attention template generation cycleGAN for weakly supervised surface defect segmentation. Pattern Recognition. 123. 108396–108396. 21 indexed citations
14.
Li, Kai, Songping He, Hongqi Liu, et al.. (2019). Bayesian uncertainty quantification and propagation for prediction of milling stability lobe. Mechanical Systems and Signal Processing. 138. 106532–106532. 45 indexed citations
15.
Li, Kai, Songping He, Bo Luo, Bin Li, & Hongqi Liu. (2019). Chatter stability in ultra-precision fly cutting considering tool wear effect. The International Journal of Advanced Manufacturing Technology. 103(1-4). 1067–1078. 4 indexed citations
16.
Jiang, Xuchu, et al.. (2018). New approach based on operational strain modal analysis to identify dynamical properties of the high-speed reciprocating operation mechanism. Journal of low frequency noise, vibration and active control. 38(3-4). 1345–1362. 4 indexed citations
17.
Jiang, Xuchu, Bin Li, Songping He, Xinyong Mao, & Wei Jiang. (2018). Research on dynamics of sorting arms with high frequency reciprocating motion. Journal of Vibroengineering. 20(6). 2379–2392.
18.
He, Songping, et al.. (2015). A new approach based on modal mass distribution matrix to identify weak components of machine tool structure. The International Journal of Advanced Manufacturing Technology. 83(1-4). 193–203. 12 indexed citations
19.
Liu, Hongqi, et al.. (2015). A method of measuring tool tip vibration in turning operations. The International Journal of Advanced Manufacturing Technology. 85(5-8). 1325–1337. 25 indexed citations
20.
Tan, Bo, Xinyong Mao, Hongqi Liu, et al.. (2014). A thermal error model for large machine tools that considers environmental thermal hysteresis effects. International Journal of Machine Tools and Manufacture. 82-83. 11–20. 60 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xinyong Mao Breakdown of academic impact, for papers by Zhichao You Breakdown of academic impact, for papers by Jiao Li Breakdown of academic impact, for papers by Brian Surgenor Breakdown of academic impact, for papers by Nagayoshi Kasashima Breakdown of academic impact, for papers by Pascal Ray Breakdown of academic impact, for papers by Guang Yu Breakdown of academic impact, for papers by Jintao Lai
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