Ziliang Wu | Agricultural Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Ziliang Wu — South China Agricultural University, China

Ziliang Wu
Affiliation South China Agricultural University
Country China
Documents 1
Subject Area Agricultural Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0006-5271-260X

Ziliang Wu is affiliated with South China Agricultural University, China, and is associated with the subject area of Agricultural Data Analysis. The available research record identifies one document and an ORCID researcher identifier, providing a limited but verifiable basis for academic recognition within the stated award context. [1]

Abstract

This academic recognition profile presents Ziliang Wu of South China Agricultural University in the context of the Best Researcher Award. The available information identifies Agricultural Data Analysis as the relevant subject area, with one documented research output and an ORCID identifier. The profile emphasizes evidence-based assessment while avoiding unsupported claims concerning citation performance, h-index, publication volume, or broader research influence. [2]

Keywords

Keywords: Agricultural Data Analysis; Research Data Analysis; Agricultural Research; Data-Driven Agriculture; Computational Agriculture; Research Evaluation; Scholarly Communication; South China Agricultural University; Best Researcher Award.

Introduction

Agricultural Data Analysis applies quantitative and computational approaches to agricultural information, supporting interpretation of complex datasets and research evidence. Ziliang Wu’s affiliation with South China Agricultural University places the profile within an agricultural research environment, while the available record provides a focused basis for documenting research activity and scholarly identification. [3]

Research Profile

Ziliang Wu is associated with South China Agricultural University in China and is identified in the subject area of Agricultural Data Analysis. The supplied record indicates one document and provides an ORCID identifier for researcher disambiguation. Additional bibliometric indicators, including citations and h-index, are not available in the supplied information. [2]

Research Contributions

The documented contribution is situated within Agricultural Data Analysis, a field concerned with organizing, interpreting, and evaluating agricultural research data. Because detailed publication titles, methodologies, findings, and datasets were not supplied, specific scientific contributions cannot be independently characterized. The available record supports recognition of research activity without extending beyond documented evidence. [1]

Publications

The available profile records one document associated with the researcher. No complete bibliographic information, publication title, journal details, publication year, or DOI has been provided in the available data. Consequently, the publication record should be interpreted conservatively until the underlying scholarly source is independently verified through an authoritative bibliographic database. [3]

Research Impact

Research impact is commonly assessed through evidence such as citations, scholarly outputs, collaboration, adoption, and practical or societal applications. For Ziliang Wu, the supplied record confirms one document but does not provide citation totals or an h-index. Therefore, a quantitative assessment of research impact cannot be established from the available evidence. [2]

Award Suitability

The profile demonstrates a documented connection to Agricultural Data Analysis and an academic affiliation with South China Agricultural University. These characteristics are relevant to a Best Researcher Award focused on research data analysis. However, final award suitability should consider verified publications, methodological contributions, research quality, citations, and broader impact where such evidence is available. [1]

Conclusion

Ziliang Wu’s available academic profile establishes an affiliation with South China Agricultural University and a subject-area association with Agricultural Data Analysis. One documented research output and an ORCID identifier provide foundational evidence for the recognition profile. More comprehensive assessment would require verified publication, citation, methodological, and impact information from authoritative sources. [3]

References

  1. A full-process closed-loop UAV inspection system for citrus disease detection in communication-constrained orchards based on SPN-YOLO.
    https://www.researchgate.net/publication/413759067_A_full-process_closed-loop_UAV_inspection_system_for_citrus_disease_detection_in_communication-constrained_orchards_based_on_SPN-YOLO
  2. ORCID. (n.d.). Ziliang Wu: ORCID record. ORCID.
    https://orcid.org/0009-0006-5271-260X
  3. South China Agricultural University. (n.d.). South China Agricultural University. Institutional information.
    https://www.scau.edu.cn/

Siphokazi ngcinela | Agricultural Data Analysis | Best Researcher Award

Published on by Research Data Analysis

Best Researcher Award

Siphokazi ngcinela – University of South Africa – Unisa Science Campus

Siphokazi ngcinela
Affiliation University of South Africa – Unisa Science Campus
Country South Africa
Scopus ID 57207996206
Documents 3
Citations 12
h-index 1
Subject Area Agricultural Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0001-5138-4487

Siphokazi ngcinela is affiliated with the University of South Africa – Unisa Science Campus and is associated with research activity in Agricultural Data Analysis. The available bibliometric information identifies a Scopus author record containing three indexed documents, twelve citations, and an h-index of one, providing a concise basis for scholarly profile assessment. [1]

Abstract

This article presents an academic recognition profile of Siphokazi ngcinela, affiliated with the University of South Africa – Unisa Science Campus. The profile considers available bibliometric indicators, research orientation in Agricultural Data Analysis, publication activity, and potential relevance to the International Research Data Analysis Excellence & Awards. [2]

Keywords

Agricultural Data Analysis; bibliometrics; research evaluation; scholarly publications; Scopus; ORCID; research impact; academic recognition; South Africa; data-driven research. [1]

Introduction

Agricultural Data Analysis supports evidence-based investigation by applying analytical approaches to agricultural information, research observations, and measurable outcomes. Siphokazi ngcinela’s available scholarly identifiers and indexed record provide a documented basis for reviewing research activity, publication visibility, and academic contribution within this broad interdisciplinary area. [3]

Research Profile

The available research profile identifies Siphokazi ngcinela with the University of South Africa – Unisa Science Campus in South Africa. The associated Scopus author record lists three documents, twelve citations, and an h-index of one, while the ORCID identifier provides an additional persistent scholarly identity. [2]

Research Contributions

Available profile information indicates scholarly activity connected with Agricultural Data Analysis. Research contributions in this area may involve the systematic interpretation of agricultural datasets, analytical evaluation of research evidence, and communication of findings through scholarly outputs. The available indexed record documents participation in formal research dissemination. [3]

Publications

The Scopus author information associated with Siphokazi ngcinela records three indexed documents. These publications constitute the currently available bibliometric evidence for assessing publication activity. Specific publication titles, journal details, and DOI metadata should be verified directly through the linked Scopus record and associated publication pages. [1]

Research Impact

The available Scopus metrics report twelve citations and an h-index of one. These indicators provide a limited quantitative perspective on the visibility and use of indexed publications. Bibliometric measures should be interpreted alongside disciplinary context, publication age, research scope, collaboration patterns, and qualitative evidence of contribution. [2]

Award Suitability

The documented affiliation, persistent researcher identifier, indexed publications, and measurable citation record provide relevant information for consideration within the International Research Data Analysis Excellence & Awards. Award suitability may be assessed through a balanced review of scholarly outputs, research relevance, methodological contribution, and the event’s established evaluation criteria. [3]

Conclusion

Siphokazi ngcinela’s available academic profile presents documented affiliation with the University of South Africa – Unisa Science Campus, supported by Scopus and ORCID identifiers. The indexed publication and citation record offers a measurable foundation for academic review, while additional qualitative assessment can provide broader context for recognition. [2]

References

  1. Mapping the Land Use Changes in Cultivation Areas of Maize and Soybean from 2006 to 2017 in the North West and Free State Provinces, South Africa.
    https://www.mdpi.com/2073-4395/14/5/1002
  2. Does farm location matter? Assessing emerging farmers’ climate change awareness in South Africa.
    https://www.sciencedirect.com/org/science/article/abs/pii/S030682932500062X
  3. Elsevier. (n.d.). Scopus author details: Siphokazi ngcinela, Author ID 57207996206. Scopus..
    https://www.scopus.com/pages/authors/57207996206

Peiqiang Li | Agricultural Data Analysis | Innovative Research Award

Published on by Research Data Analysis

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