Aida Mehrpajouh | Soil Physics | Best Researcher Award

Published on by Soil Scientist

Dr. Aida | Soil Physics | Best Researcher Award

Dr. Aida Mehrpajouh | HTW University of Applied Sciences Dresden | Germany

Dr. Aida Mehrpajouh’s research portfolio exemplifies a strong and evolving commitment to scientific excellence, marked by consistent productivity, academic integrity, and interdisciplinary relevance. She has contributed 5 well-recognized research documents, each representing a meaningful advancement in her area of expertise and showcasing her analytical depth and experimental precision. These publications collectively demonstrate her capacity to identify emerging research gaps and provide innovative solutions that bridge theoretical knowledge with applied outcomes. Her work has earned 108 citations drawn from 91 citing documents, a clear reflection of the recognition her studies have received from peers across related disciplines. This citation record highlights her ability to produce work that not only informs but also inspires subsequent investigations, contributing to the expansion of knowledge in her domain. With an h-index of 4, Dr. Mehrpajouh maintains a solid scholarly impact, where multiple papers continue to attract attention and engagement within the global research community. Her academic endeavors emphasize both innovation and reliability, often intersecting with environmental, technological, or societal aspects that underline the practical value of her findings. Collectively, her research achievements portray a profile of intellectual rigor, sustained academic contribution, and growing influence that continues to enrich and advance her field of study.

Profile:  Scopus 

Featured Publications

Ghasemzadeh, H., Mehrpajouh, A., & Pishvaei, M. (2022). Compressive strength of acrylic polymer-stabilized kaolinite clay modified with different additives. ACS Omega.

Hongtao Shi | Soil Physics | Best Researcher Award

Published on by Soil Scientist

Dr. Hongtao Shi | Soil Physics | Best Researcher Award

China University of Mining and Technology | China 

Hongtao Shi is a productive researcher in photogrammetry, remote sensing, and SAR-based soil moisture retrieval, with a strong record of contributions to agricultural monitoring and polarimetric decomposition techniques. His work spans high-resolution soil moisture estimation, multi-frequency and multi-incidence radar analysis, and time-series applications integrating passive and active remote sensing products. He has authored 31 peer-reviewed documents, which have collectively received 353 citations, as recorded across 333 citing documents. His current h-index is 10, reflecting both the influence and consistency of his research output within the scientific community. He has published in high-impact journals such as Remote Sensing of Environment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal of Hydrology, and Agricultural Water Management, addressing challenges in crop monitoring, radar scattering models, and novel polarimetric decomposition approaches. In addition to journal articles, he has delivered presentations at prestigious international conferences, including IGARSS and PolInSAR, where his work on SAR observation techniques and integration with microwave products has drawn recognition. His research has advanced methods for retrieving field-scale soil moisture and improving agricultural parameter estimation by leveraging L-band, quad-pol, and time-series SAR data, reinforcing his reputation as a specialist in SAR-based environmental remote sensing.

Profile:  Orcid 

Featured Publications

1. Zhao, J., Zhang, M., Zhou, Z., Wang, Z., Lang, F., Shi, H., & Zheng, N. (2025). CFFormer: A cross-fusion transformer framework for the semantic segmentation of multisource remote sensing images. IEEE Transactions on Geoscience and Remote Sensing.

2. Wang, Z., Zhao, L., Jiang, N., Sun, W., Yang, J., Shi, H., & Li, P. (2025). DMCF-Net: Dilated multiscale context fusion network for SAR flood detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

3. Shi, H., Wu, Q., Lu, Z., Zhao, J., Liu, W., Zhao, T., Zhu, L., Lang, F., & Zhao, L. (2025, November). Meter-level resolution surface soil moisture estimation over agricultural fields from time-series quad-pol SAR with constraints of coarse resolution CCI data products. Agricultural Water Management.

4. Qian, J., Yang, J., Sun, W., Zhao, L., Shi, L., Shi, H., Dang, C., & Dou, Q. (2025, July 14). Multi-layer and profile soil moisture estimation and uncertainty evaluation based on multi-frequency (Ka-, X-, C-, S-, and L-band) and quad-polarization airborne SAR data from synchronous observation experiment in Liao River Basin, China. Water.