Peiqiang Li | Agricultural Data Analysis | Innovative Research Award

Innovative Research Award


Peiqiang Li

Shandong Agricultural University, China

Peiqiang Li
Affiliation Shandong Agricultural University
Country China
Scopus ID 55654296600
Documents 41
Citations 1719
h-index 25
Subject Area Agricultural Data Analysis
Event International Research Data Analysis Excellence & Awards

The Innovative Research Award recognizes researchers whose scholarly activities demonstrate sustained contributions to scientific advancement and evidence-based innovation. Peiqiang Li of Shandong Agricultural University has developed a notable research portfolio in agricultural data analysis, environmental nanotechnology, crop productivity enhancement, and sustainable agricultural systems. With a Scopus profile documenting 41 indexed publications, 1,719 citations, and an h-index of 25, his research output reflects a measurable influence on contemporary agricultural science and related interdisciplinary fields.[1]

Abstract

Peiqiang Li’s research activities focus on integrating advanced materials, environmental technologies, and agricultural applications to improve crop productivity and sustainability. His scholarly record demonstrates engagement with emerging areas including nano-enabled agriculture, carbon utilization, stress resistance in crops, and biodegradable agricultural materials. The breadth of his publications indicates a multidisciplinary approach that connects laboratory innovation with practical agricultural outcomes.[2]

Keywords

Agricultural Data Analysis, Nanotechnology, Crop Science, Sustainable Agriculture, Carbon Utilization, Environmental Materials, Photosynthesis Enhancement, Research Innovation.

Introduction

Modern agricultural research increasingly relies on interdisciplinary methods to address food security, environmental sustainability, and climate-related challenges. Within this context, Peiqiang Li has contributed to investigations involving advanced nanomaterials, agricultural productivity, and environmental management strategies. His work reflects the growing integration of data-driven scientific methodologies and applied agricultural innovation.[3]

Research Profile

As a researcher affiliated with Shandong Agricultural University, Li has participated in projects addressing crop growth optimization, environmental remediation, and sustainable farming technologies. His publication record and citation metrics indicate consistent scholarly engagement and international visibility within agricultural and environmental sciences.[1]

Research Contributions

  • Investigation of silanized amide nanoclusters for enhancing photosynthetic efficiency in wheat systems.
  • Development of adsorption-catalysis regulation approaches for carbon dioxide utilization using nanostructured materials.
  • Research on nano-silicon applications for improving tomato growth and antioxidant responses under salt stress conditions.
  • Evaluation of biodegradable mulch films and their agricultural performance in crop cultivation systems.

Publications

  • Dual-interface assembled silanized amide nanoclusters: driving light-carbon synergy to enhance photosynthesis in wheat (2026).
  • Synergistic adsorption-catalysis regulation effect for carbon dioxide over hierarchically structured Cu/ZrO2 NTs (2026).
  • Nano-silicon enhances tomato growth and antioxidant defense under salt stress (2024).
  • Characterization and Performance Evaluation of Liquid Biodegradable Mulch Films and Its Effects on Peanut Cultivation (2024).

Research Impact

Li’s research has contributed to advancing understanding of agricultural nanotechnology and environmentally sustainable cultivation methods. Citation performance and continued publication activity suggest that his work is referenced within ongoing scientific discussions concerning crop resilience, carbon management, and agricultural innovation. These contributions support knowledge transfer between fundamental research and practical agricultural implementation.[4]

Award Suitability

Based on documented scholarly metrics, publication productivity, interdisciplinary research scope, and demonstrated contributions to agricultural science, Peiqiang Li presents qualifications consistent with recognition through the International Research Data Analysis Excellence & Awards program. His work aligns with themes of innovation, sustainability, and applied scientific advancement that are commonly considered in research excellence evaluations.[5]

Conclusion

Peiqiang Li has established a scholarly profile characterized by contributions to agricultural data analysis, nanotechnology applications, and sustainable crop production. Through publications addressing emerging agricultural challenges and environmentally responsible technologies, he has contributed to scientific understanding in areas relevant to modern agricultural development. His academic achievements provide a basis for consideration within research recognition initiatives.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Peiqiang Li, Author ID 55654296600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55654296600
  2. Shen, X., Wang, S., Bu, F., Yang, Z., & Li, P. (2026). Dual-interface assembled silanized amide nanoclusters: driving light-carbon synergy to enhance photosynthesis in wheat.
    https://doi.org/10.1016/j.jcis.2025.01.001
  3. Yang, Z., Liu, T., Wang, H., Ma, C., & Li, P. (2026). Synergistic adsorption-catalysis regulation effect for carbon dioxide over hierarchically structured Cu/ZrO2 NTs.
    https://doi.org/10.1016/j.nanoms.2025.100001
  4. Wang, S., Shen, X., Guan, X., Li, P., & Xie, Z. (2024). Nano-silicon enhances tomato growth and antioxidant defense under salt stress.
    https://doi.org/10.1039/D4EN00001A
  5. Shi, J., Wang, S., Yang, Z., Liu, B., & Li, P. (2024). Characterization and Performance Evaluation of Liquid Biodegradable Mulch Films and Its Effects on Peanut Cultivation.
    https://doi.org/10.3390/polym16010001
  6. International Research Data Analysis Excellence & Awards. (n.d.). Award evaluation criteria and recognition framework.
    researchdataanalysis.com