18 citations as recorded by crossref.

1. Optimization of Subway Advertising Based on Neural Networks L. Sun et al.
2. A novel method based on improved SFLA for IP information extraction from TEM signals R. Li et al.
3. Inversion of self‐potential source based on particle swarm optimization Y. Luo et al.
4. Quasi-2D inversion of surface large fixed-loop transient electromagnetic sounding data F. Li et al.
5. Inversion of Vertical Electrical Sounding Data Based on PSO-BP Neural Network Y. Wang et al.
6. A Neural Network-Based Hybrid Framework for Least-Squares Inversion of Transient Electromagnetic Data M. Asif et al.
7. Using Wavelet Packet Denoising and a Regularized ELM Algorithm Based on the LOO Approach for Transient Electromagnetic Inversion R. Li et al.
8. Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data M. Asif et al.
9. Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion R. Li et al.
10. Analysis on stable imaging and inverse algorithm for artificial source EM data X. Luan et al.
11. Effect of Data Pre-Processing on the Performance of Neural Networks for 1-D Transient Electromagnetic Forward Modeling M. Asif et al.
12. An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion R. Li et al.
13. Enhanced Whale Optimization Algorithm for Improved Transient Electromagnetic Inversion in the Presence of Induced Polarization Effects R. Li et al.
14. A successful inversion of magnetic anomalies related to 2D dyke-models by a particle swarm scheme K. Essa et al.
15. Data Science and Machine Learning in Geo-Electromagnetics: A Review Q. Huang et al.
16. Transient Electromagnetic Nonlinear Inversion Method Based On Improved Bat Algorithm R. Li et al.
17. optIFnet: A Capacitive Antenna Dipole Indention-Flexure Predictive Model Optimized Using Hybrid Lichtenberg Algorithm and Neural Network M. Enriquez et al.
18. Transient Electromagnetic Inversion: An ICDE-Trained Kernel Principal Component OSELM Approach R. Li et al.