| No. | Title | Details |
| 1. | Optimizing Wheat (Triticum aestivum) Water Productivity and NitrogenUse Efficiency in Sandy Soils Using Water Retention Polymers withImproved Nitrogen Fertilizers. | International Journal of Agriculture & BiologyISSN Print: 1560–8530; ISSN Online: 1814–9596 25–643/2026/35:350208 |
| 2. | Runoff simulation in the Upper Indus Basin using HEC-HMS and GIS-based modeling techniques. | Journal of Xi’an Shiyou University, Natural Sciences Edition, 68(9).https://doi.org/10.5281/zenodo.1722510(IF=0.95) |
| 3. | Improving wheat yield prediction with multi-source remote sensing data and machine learning in arid regions. | Remote Sensing, 17(5), 774.https://doi.org/10.3390/rs17050774(IF=4.2) |
| 4. | Spatial Forest Health Monitoring Using Geospatial Technique: A CaseStudy of Changa Manga Forest, Pakistan | Xi’an Shiyou University, Natural Sciences, 67.https://doi.org/10.5281/zenodo.13744041
(IF=0.95) |
| Book Chapters: | |
| 1. | Advances in geospatial modeling for flood risk assessment in changing climate. In Advances in Computational Intelligence for Climate Change Security and Sustainability | IGI Global. https://doi.org/10.4018/979-8-3693-9132-7.ch003 |
| 2. | AI in sustainable farming: Revolutionizing precision agriculture. In AI and Ecological Change for Sustainable Development (pp. 441–472) | IGI Global. https://doi.org/10.4018/979-8-3373-0680-3.ch015 |
| 3. | AI-driven solutions for water quality assessment. In AI and EcologicalChange for Sustainable Development (pp. 101–124). | IGI Global. https://doi.org/10.4018/979-8-3373-0680-3.ch004 |
| 4. | Role of crop water requirement and irrigation scheduling in sustainable agriculture. In Advancing Global Food Security with Agriculture 4.0 and 5.0. | IGI Global. https://doi.org/10.4018/979-8-3693-9964-4.ch011 |
| 5. | Remote sensing and precision agriculture: A sustainable future. In S. Kanga, S.K. Singh, K. Shevkani, V. Pathak, & B. Sajan (Eds.), Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives (pp. 75–103). | Springer Nature. https://doi.org/10.1007/978-3-031-63430-7_4 |
| 6. | Managing water resources forsustainable agricultural production. In S. Kanga, S.K. Singh, K. Shevkani, V. Pathak, & B. Sajan (Eds.), Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives (pp. 47–74). | Springer Nature. https://doi.org/10.1007/978-3-031-63430-7_3 |
| 7. | Climate change impacts on crop productivity and food security: An overview. In S. Kanga, S.K. Singh, K. Shevkani, V. Pathak, & B. Sajan (Eds.), Transforming Agricultural Management for a Sustainable Future. | Springer Nature. https://doi.org/10.1007/978-3-031-63430-7_8 |