Longlong An | Agricultural | Best Researcher Award

Best Researcher Award

Longlong An
Affiliation Sichuan Agricultural University
Country China
Scopus ID 58974993300
Documents 6
Citations 38
h-index 3
Subject Area Agricultural
Event International Research Awards
ORCID 0009-0005-7159-9676

Longlong An is a researcher affiliated with Sichuan Agricultural University, China. His research profile is represented in the Scopus database under Author  and is associated with the Agricultural subject area. According to the supplied research profile, he has 6 indexed documents, 38 citations, and an h-index of 3. These indicators provide a bibliometric overview of his documented research activity. [1]

Abstract

Longlong An is a researcher affiliated with Sichuan Agricultural University in China whose documented scholarly profile is associated with the Agricultural subject area. The supplied bibliometric record identifies Scopus Author  and reports 6 documents, 38 citations, and an h-index of 3. His ORCID identifier providing a persistent researcher identifier for distinguishing his scholarly record. These indicators collectively describe an emerging research profile with measurable publication activity and citation visibility. The Best Researcher Award recognition is considered within the context of documented research output, institutional affiliation, subject-area relevance, and available scholarly identifiers. [1] [2]

Keywords

Longlong An; Agricultural research; Sichuan Agricultural University; China; Scopus; ORCID; bibliometric profile; research output; citations; h-index; scholarly communication. [2]

Introduction

Researcher recognition commonly considers documented scholarly activity, institutional affiliation, publication output, citation records, and the relevance of research to a defined academic field. Bibliometric databases can provide structured information that assists in describing publication and citation patterns, although such indicators should be interpreted alongside qualitative evidence. [3]

Research Profile

The available research profile records 6 documents and 38 citations, with an h-index of 3. These figures indicate a measurable body of indexed scholarly output and citation activity. Citation indicators are dynamic and may change as additional publications are indexed or existing publications receive further citations. [1]

Research Contributions

Longlong An’s documented contribution is represented through his indexed scholarly publications and their associated citation activity. The available record establishes a research presence within the Agricultural subject area, while the limited profile information supplied for this article does not provide sufficient detail to attribute specific discoveries, methods, datasets, or individual research findings. Accordingly, the profile is described using verifiable bibliometric and institutional information rather than unsupported claims about particular scientific outcomes.[1] [2]

Publications

The supplied profile reports 6 documents indexed under the researcher’s Scopus author record. Because individual publication titles, journals, publication years, and DOI identifiers were not provided in the source information for this article, specific publications are not listed here. This approach avoids assigning publications to the researcher without sufficient bibliographic verification. The Scopus author profile should be consulted for the current indexed publication record. [1]

Research Impact

The available bibliometric record reports 38 citations and an h-index of 3 across 6 documents. Citation counts provide one quantitative indication of scholarly visibility, while the h-index combines publication and citation information into a single measure. These metrics should not be treated as complete measures of research quality because citation practices vary among disciplines, publication types, and research communities. [1]

Award Suitability

The Best Researcher Award profile is based on the documented research information supplied for Longlong An, including institutional affiliation, Agricultural subject classification, indexed documents, citations, h-index, and persistent researcher identification. These elements provide a concise academic basis for presenting the researcher within the International Research Awards context. [4]

Conclusion

Longlong An is an Agricultural researcher affiliated with Sichuan Agricultural University in China. His supplied scholarly profile records 6 documents, 38 citations, and an h-index of 3 under Scopus Author ID 58974993300. His ORCID identifier provides an additional persistent mechanism for researcher identification. These records establish a documented academic profile suitable for presentation in connection with the Best Researcher Award under the International Research Awards. [5]

References

  1. Elsevier. (n.d.). Scopus author details: Longlong An, Author ID 58974993300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58974993300
  2. ORCID. (n.d.). Longlong An — ORCID record. ORCID.
    https://orcid.org/0009-0005-7159-9676
  3. An, L., Zheng, Z., He, S., Li, T., Zhang, X., Wang, Y., & Yu, H. (2025). Tracking dissolved organic carbon changes in agricultural runoff from rainstorms during maize (Zea mays L.) growth stages employing optical and molecular techniques. Journal of Hydrology.
    https://doi.org/10.1016/j.jhydrol.2025.133942
  4. International Research Awards. (n.d.). Official award website.
    https://researchawards.net/
  5. An, L., He, S., Song, X., Zheng, Z., Li, T., & Han, L. (2026). Long-term fertilization regimes mitigate dissolved organic matter leaching and alter its chemodiversity in agricultural soil leachate. Water Research.
    https://doi.org/10.1016/j.watres.2026.125762

Ayman El Sabagh | Agricultural | Research Excellence Award

Research Excellence Award

Ayman El Sabagh is an agricultural researcher affiliated with Siirt Universitesi, Turkey. His research profile is represented in Scopus by Author  and in ORCID by the identifier . This academic recognition page summarizes his documented research profile, scholarly contributions, publication record, research impact, and suitability for the International Research Awards.

              Ayman El Sabagh
Affiliation Siirt Universitesi
Country Turkey
Scopus ID 57208279209
Documents 347
Citations 9,407
h-index 50
Subject Area Agricultural
Event International Research Awards
ORCID 0000-0002-4241-192X

Abstract

Ayman El Sabagh is an agricultural researcher affiliated with Siirt Universitesi in Turkey, with a documented Scopus profile identified by Author  The supplied scholarly record reports 347 documents, 9,407 citations, and an h-index of 50. His ORCID identifier provides an additional persistent record for researcher identification and scholarly attribution. These indicators provide a quantitative basis for describing his research activity and visibility within indexed scholarly literature. The Research Excellence Award profile recognizes this documented academic record in the context of the International Research Awards, while maintaining a distinction between bibliometric evidence and broader qualitative assessment of research significance, collaboration, innovation, and societal relevance.

Keywords

Ayman El Sabagh; agricultural research; Siirt Universitesi; Turkey; Scopus; ORCID; research excellence; scholarly publications; citation impact; h-index; agricultural sciences; International Research Awards.[1]

Introduction

Research excellence in agricultural sciences can be evaluated through scholarly productivity, citation patterns, sustained publication activity, and identifiable research contributions. Bibliometric indicators provide measurable evidence of academic visibility, although they should be interpreted alongside disciplinary context and qualitative assessment. El Sabagh’s supplied Scopus metrics provide the principal quantitative basis for this profile. [1]

Research Profile

The researcher is affiliated with Siirt Universitesi in Turkey and is identified in Scopus through Author. The supplied record contains 347 documents, 9,407 citations, and an h-index of 50, indicating an established indexed publication presence. ORCID identifier provides persistent researcher identification. [1] [2]

Research Contributions

El Sabagh’s documented academic profile is situated within agricultural research. The reported publication volume demonstrates sustained scholarly activity, while the citation count indicates that the indexed body of work has received substantial scholarly attention. A complete qualitative assessment of individual contributions requires examination of specific publications, methodologies, collaborations, and research outcomes. [1]

Publications

The supplied Scopus record reports 347 indexed documents associated with Author. This publication count indicates a substantial scholarly output within the indexed literature. Individual article titles, journals, publication years, co-authors, and DOI identifiers were not supplied for this profile; therefore, no specific publication or DOI is attributed without independent bibliographic verification. [5]

Research Impact

The reported 9,407 citations and h-index of 50 provide quantitative indicators of scholarly visibility and citation activity associated with the supplied Scopus profile. Such metrics can assist comparative assessment within research evaluation, but they do not independently establish practical, societal, or scientific impact. Interpretation should therefore consider disciplinary and publication-context differences. [4]

Award Suitability

Based on the supplied academic indicators, El Sabagh presents a substantial research profile relevant to consideration for a research excellence category. The reported document count, citation count, and h-index demonstrate sustained indexed scholarly activity. Final award eligibility or selection should remain subject to the International Research Awards’ official criteria and independent review procedures. [3]

Conclusion

Ayman El Sabagh’s supplied academic profile reflects substantial indexed research activity in agricultural sciences. His Scopus record reports 347 documents, 9,407 citations, and an h-index of 50, while ORCID provides persistent researcher identification. These indicators support consideration within a research excellence framework, subject to appropriate qualitative and institutional evaluation. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Ayman El Sabagh, Author ID 57208279209. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57208279209
  2. ORCID. (n.d.). Ayman El Sabagh: ORCID record 0000-0002-4241-192X. ORCID.
    https://orcid.org/0000-0002-4241-192X
  3. International Research Awards. (n.d.). International Research Awards.
    https://researchawards.net/
  4. Habib-ur-Rahman, M., Ahmad, A., Raza, A., Hasnain, M. U., Alharby, H. F., Alzahrani, Y. M., Bamagoos, A. A., Hakeem, K. R., Ahmad, S., Nasim, W., Ali, S., Mansour, F., & EL Sabagh, A. (2022). Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia. Frontiers in Plant Science, 13, 925548.
    https://doi.org/10.3389/fpls.2022.925548
  5. EL Sabagh, A., Islam, M. S., Skalicky, M., Ali Raza, M., Singh, K., Anwar Hossain, M., Hossain, A., Mahboob, W., Iqbal, M. A., Ratnasekera, D., Singhal, R. K., Ahmed, S., Kumari, A., Wasaya, A., Sytar, O., Brestic, M., ÇIG, F., Erman, M., Habib Ur Rahman, M., Ullah, N., & Arshad, A. (2021). Salinity stress in wheat (Triticum aestivum L.) in the changing climate: Adaptation and management strategies. Frontiers in Agronomy, 3, 661932.
    https://doi.org/10.3389/fagro.2021.661932

Md. Yeamin Hossain | Agricultural | Excellence in Research Award

Best Researcher Award

               Md. Yeamin Hossain
Affiliation University of Rajshahi
Country Bangladesh
Scopus ID 16042589800
Documents 203
Citations 3,914
h-index 33
Subject Area Agricultural
Event International Research Awards
ORCID 0000-0002-8183-7296

Md. Yeamin Hossain is an agricultural researcher affiliated with the University of Rajshahi in Bangladesh. His supplied Scopus profile records 203 documents, 3,914 citations, and an h-index of 33, providing bibliometric indicators of sustained scholarly activity and research visibility. These indicators may support consideration for the Best Researcher Award when evaluated alongside publication quality, originality, disciplinary relevance, and broader research contributions. [1]

Abstract

Md. Yeamin Hossain, affiliated with the University of Rajshahi, Bangladesh, is represented within the agricultural research field through a documented scholarly profile indexed by Scopus. The supplied profile reports 203 scholarly documents, 3,914 citations, and an h-index of 33. These bibliometric indicators provide a quantitative overview of publication activity and citation visibility within indexed scholarly literature. The Best Researcher Award profile considers these indicators as part of an academic recognition framework while recognizing that research quality, originality, methodological rigor, and disciplinary contribution should also be considered. [1]

Keywords

Md. Yeamin Hossain; Agricultural Research; Best Researcher Award; University of Rajshahi; Scopus; citation impact; h-index; research productivity; scholarly publications; agricultural sciences; International Research Awards. [1]

Introduction

Research recognition in agricultural science commonly considers scholarly productivity, publication quality, citation visibility, disciplinary relevance, collaboration, and the significance of research findings. Bibliometric databases such as Scopus provide standardized indicators that can assist in describing aspects of a researcher’s scholarly record. [1]

Research Profile

Md. Yeamin Hossain is affiliated with the University of Rajshahi in Bangladesh and is represented in Scopus under Author ID 16042589800. The supplied profile records 203 documents, 3,914 citations, and an h-index of 33. These figures indicate a substantial indexed publication record and measurable citation-based visibility in the scholarly literature. [1]

Research Contributions

The supplied bibliometric profile indicates an established body of scholarly output in the agricultural research domain. The reported 203 documents demonstrate sustained publication activity, while the citation count of 3,914 indicates that the indexed research outputs have received considerable citation attention. [3]

Publications

The supplied Scopus record identifies 203 documents associated with Md. Yeamin Hossain. The available input does not provide a complete publication bibliography, individual article titles, journal details, publication dates, or verified DOI identifiers. Accordingly, individual publications are not attributed in this section without corresponding bibliographic evidence. [1]

Research Impact

The reported citation count of 3,914 and h-index of 33 provide quantitative measures of scholarly visibility. The h-index combines aspects of publication productivity and citation performance and is frequently used as one indicator of research impact. However, bibliometric indicators can vary according to discipline, database coverage, publication age, and citation practices, and should therefore be interpreted within appropriate academic context. [2]

Award Suitability

The documented research profile of Md. Yeamin Hossain is relevant to consideration for the Best Researcher Award through its stated agricultural subject area, substantial indexed publication record, citation count, and h-index. The reported 203 documents and 3,914 citations provide quantitative evidence of scholarly productivity and visibility within the indexed research literature. [4]

Conclusion

Md. Yeamin Hossain’s supplied Scopus profile presents a documented research record associated with agricultural science and the University of Rajshahi in Bangladesh. The profile reports 203 documents, 3,914 citations, and an h-index of 33, providing measurable indicators of scholarly productivity and citation visibility. These data establish a quantitative foundation for consideration for the Best Researcher Award, while comprehensive evaluation should also address the quality, originality, significance, and broader contribution of the research record. [5]

References

  1. Elsevier. (n.d.). Scopus author details: Md. Yeamin Hossain, Author ID 16042589800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=16042589800
  2. ORCID. (n.d.). ORCID record: Md. Yeamin Hossain, 0000-0002-8183-7296. ORCID.
    https://orcid.org/0000-0002-8183-7296
  3. International Research Awards. (n.d.). International Research Awards.
    https://researchawards.net/
  4. Hossain, M. Y., Ahmed, Z. F., Leunda, P. M., Jasmine, S., Oscoz, J., Miranda, R., & Ohtomi, J. (2006). Condition, length–weight and length–length relationships of the Asian striped catfish Mystus vittatus (Bloch, 1794) (Siluriformes: Bagridae) in the Mathabhanga River, southwestern Bangladesh. Journal of Applied Ichthyology.
    https://doi.org/10.1111/j.1439-0426.2006.00803.x
  5. Hossain, M. Y., Ahmed, Z. F., Leunda, P. M., Roksanul Islam, A. K. M., Jasmine, S., Oscoz, J., Miranda, R., & Ohtomi, J. (2006). Length–weight and length–length relationships of some small indigenous fish species from the Mathabhanga River, southwestern Bangladesh. Journal of Applied Ichthyology.
    https://doi.org/10.1111/j.1439-0426.2006.00801.x

 

Xiao Sun | Agricultural and Biological Sciences | Research Excellence Award

Assoc Prof Dr. Xiao Sun | Agricultural and Biological Sciences | Research Excellence Award

Chuzhou University | China

Dr. Xiao Sun, Ph.D., is an accomplished Associate Professor in the College of Biological and Food Engineering at Chuzhou University, specializing in poultry science, meat quality evaluation, agricultural product processing, and intelligent equipment development. Trained in Agricultural Electrification and Automation at Nanjing Agricultural University, Dr. Sun completed his Ph.D. with joint doctoral training in Poultry Science at the University of Arkansas, USA, where he gained extensive international research experience and established long-term academic collaborations. His research addresses critical industry challenges, particularly woody breast myopathy in broilers, focusing on its formation mechanisms, quality deterioration, and practical solutions for detection, grading, and processing optimization. Dr. Sun’s work is distinguished by the integration of machine vision, image analysis, spectroscopy, sensor technologies, neural networks, and intelligent systems to develop non-destructive detection and grading technologies for poultry meat quality. His research has significantly advanced understanding of how myofibrillar protein structure, processing conditions, and storage factors influence meat quality attributes, enabling improved quality control and waste reduction across poultry processing chains. As a principal investigator, he has led multiple competitive research projects funded by provincial authorities, universities, and industry partners, emphasizing translational outcomes and real-world application in slaughtering and processing environments. A prolific innovator, Dr. Sun holds multiple authorized Chinese invention patents, international patents, and software copyrights, including landmark systems for detecting woody breast conditions and intelligent grading of poultry carcasses. His patented technologies have strong potential for industrial deployment, reflecting his commitment to bridging academic research with commercial and societal impact. Dr. Sun has published over 30 peer-reviewed articles in leading international journals such as Poultry Science, LWT – Food Science and Technology, Foods, and the Journal of Food Science, contributing foundational and applied insights into poultry meat quality and processing science. His contributions have been recognized through numerous honors, including national science and technology awards, the Young Scientist Program Award of the World’s Poultry Science Association, and prestigious institutional titles. Through sustained research excellence, innovation, and education, Dr. Sun continues to shape the future of intelligent poultry processing and food engineering.

Citation Metrics (Scopus)

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Citations
194

Documents
25

h-index
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