Lv Xinyu | Artificial Intelligence | Best Researcher Award

Posted on by Innovator Awards

Best Researcher Award

Lv Xinyu
Qufu Normal University
Lv Xinyu
Affiliation Qufu Normal University
Country China
Scopus ID 58685612500
Documents 1
Citations 18
h-index 1
Subject Area Artificial Intelligence
Event International Innovator Awards
ORCID 0000-0002-2589-6486

Lv Xinyu is a researcher affiliated with Qufu Normal University in China whose indexed research profile is associated with the field of Artificial Intelligence. Available bibliographic information identifies one Scopus-indexed document, 18 citations, and an h-index of 1. These indicators provide a bibliometric snapshot of the research record represented in the supplied Scopus profile and should be interpreted in relation to publication history, field, career stage, and the coverage of the underlying database.[1]

Abstract

This article presents a structured academic profile of Lv Xinyu, affiliated with Qufu Normal University, China, in the subject area of Artificial Intelligence. The profile is based on the supplied researcher identifiers and bibliometric information, including a Scopus Author ID, publication count, citation count, h-index, and ORCID identifier. According to the supplied Scopus information, the profile contains one indexed document and 18 citations, with an h-index of 1. The article summarizes the available research profile, publication record, bibliometric indicators, potential research impact, and relevance to the International Innovator Awards while distinguishing documented information from broader academic interpretation.[2]

Keywords

Lv Xinyu; Qufu Normal University; Artificial Intelligence; Artificial Intelligence Research; Scopus; Bibliometrics; Research Impact; Academic Research; International Innovator Awards; ORCID.

Introduction

Artificial Intelligence is a broad research domain encompassing computational methods concerned with learning, reasoning, perception, language, optimization, intelligent systems, and the development of algorithms capable of performing tasks that traditionally require aspects of human intelligence. Research in this area is interdisciplinary and can involve computer science, mathematics, engineering, information science, cognitive science, and application-specific fields.[3]

Research Profile

Lv Xinyu is affiliated with Qufu Normal University in China. The supplied subject classification is Artificial Intelligence, establishing the primary disciplinary context for this profile. The researcher is additionally associated with an ORCID identifier, which provides a persistent digital identifier intended to distinguish researchers and connect their scholarly activities across systems.[1]

Research Contributions

The available bibliographic record establishes an indexed research contribution associated with Lv Xinyu and the Artificial Intelligence subject area. The presence of a Scopus-indexed document indicates that at least one scholarly publication is represented in the supplied author profile. However, a detailed assessment of the scientific contribution requires examination of the publication itself, including its research question, methodology, results, theoretical or practical contribution, and relationship to prior literature.[2]

Publications

The supplied Scopus profile records one document for Lv Xinyu. The specific publication title, journal or conference venue, publication year, authorship order, abstract, DOI, and complete bibliographic metadata were not supplied as part of the researcher input. Consequently, no publication-specific claim is made here beyond the existence of the indexed document represented in the supplied author record.[3]

Research Impact

The supplied bibliometric record reports 18 citations for one indexed document and an h-index of 1 Citation activity can provide one measurable indication of how frequently indexed scholarly work has been referenced by other publications, but citation counts alone do not establish the quality, originality, societal relevance, or practical value of research.[2]

Award Suitability

The supplied profile identifies Lv Xinyu in connection with the International Innovator Awards and the Best Researcher Award. The documented academic information provides identifiable research credentials, including an institutional affiliation, a Scopus Author ID, an indexed publication record, citation information, an h-index, and an ORCID identifier.[1]

Conclusion

Lv Xinyu is a researcher affiliated with Qufu Normal University, China, with a supplied subject-area classification in Artificial Intelligence. The available Scopus information records one document, 18 citations, and an h-index of 1, while the supplied ORCID identifier provides an additional persistent researcher identifier.[1]

References

  1. Elsevier. (2026). Scopus author details: Lv Xinyu, Author ID 58685612500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58685612500
  2. ORCID. (2026). Lv Xinyu ORCID record: 0000-0002-2589-6486. ORCID.
    https://orcid.org/0000-0002-2589-6486
  3. International Innovator Awards. (2026). International Innovator Awards official website.
    https://innovatorawards.org/

Assoc. Prof. Dr Rui Mao – Artificial intelligence – Best Researcher Award

Posted on by Innovator Awards

Assoc. Prof. Dr Rui Mao - Artificial intelligence - Best Researcher Award

Northwest A&F University - China

AUTHOR PROFILE 

SCOPUS 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Rui Mao’s academic journey began with a master’s degree from Xi’an JiaoTong University, where she developed a keen interest in the application of technology in agriculture. She then pursued a Ph.D. from Northwest A&F University, where her research focused on the intersection of machine learning, image processing, and agriculture. Her strong foundation in these fields allowed her to push the boundaries of innovation in precision agriculture, laying the groundwork for her future research endeavors.

PROFESSIONAL ENDEAVORS 🏫

As an Associate Professor at Northwest A&F University, Rui Mao has been a key figure in bridging the gap between computer science and agriculture. Her extensive academic career includes presiding over four key research and development programs in Shaanxi Province. Additionally, she has contributed to multiple consultancy and industry projects, providing expert guidance on the implementation of machine learning and image processing in real-world agricultural settings.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Rui’s research focuses on machine learning, image processing, and pattern recognition, with a primary emphasis on precision agriculture. Her projects have led to the development of innovative solutions for improving agricultural productivity and sustainability. By integrating advanced technologies, her research provides practical applications for improving crop Artificial intelligence management, pest control, and resource optimization. She is also pioneering work on digital agriculture through her collaborations and ongoing projects, which are poised to transform the agricultural industry.

ACCREDITATIONS AND RECOGNITION 🏅

Rui Mao’s work has earned her significant recognition in the scientific community. With a citation index of 128 and 12 publications in prestigious journals, her research has had a considerable impact on the fields of agriculture and technology. Her contributions to digital agriculture and image processing have positioned her as a leading figure in her field. Rui’s expertise is further Artificial intelligence acknowledged through her membership in esteemed professional bodies such as the China Computer Society and the China Association of Image Graphics.

IMPACT AND INFLUENCE 🌍

Rui’s influence extends beyond academia. As a senior member of the China Computer Society and an executive committee member of its Digital Agriculture Branch, she has shaped the Artificial intelligence direction of research in the application of computer science to agriculture. Her work has contributed to the development of smarter, more efficient agricultural practices, which are essential for meeting global food security challenges. Through her innovations, Rui has directly impacted the agricultural technology landscape in China and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Rui Mao’s future work promises to continue advancing the integration of machine learning and image processing in agriculture. Her ongoing research on digital agriculture and precision farming has the potential to revolutionize farming practices globally, ensuring more sustainable and efficient food production. As a passionate educator and researcher, Rui is poised to inspire future generations of scientists and innovators, further solidifying her legacy as a pioneer in agricultural technology and machine learning applications.

NOTABLE PUBLICATIONS 

  • Title: A Real-Time Lightweight Behavior Recognition Model for Multiple Dairy Goats
    Authors: Xiaobo Wang, Yufan Hu, Meili Wang, Mei Li, Wenxiao Zhao, Rui Mao
    Journal: Animals (2024-12)
    DOI: 10.3390/ani14243667
  • Title: An Integrated Gather-and-Distribute Mechanism and Attention-Enhanced Deformable Convolution Model for Pig Behavior Recognition
    Authors: Rui Mao, Dongzhen Shen, Ruiqi Wang, Yiming Cui, Yufan Hu, Mei Li, Meili Wang
    Journal: Animals (2024-04)
    DOI: 10.3390/ani14091316
  • Title: GSEYOLOX-s: An Improved Lightweight Network for Identifying the Severity of Wheat Fusarium Head Blight
    Authors: Rui Mao, Zhengchao Wang, Feilong Li, Jia Zhou, Yinbing Chen, Xiaoping Hu
    Journal: Agronomy (2023-01)
    DOI: 10.3390/agronomy13010242