Vyshnavi Ramineni | Artificial Intelligence | Innovative Research Award

Posted on by The Scientist

Innovative Research Award

Vyshnavi Ramineni
Chosun University, South Korea

Vyshnavi Ramineni
Affiliation Chosun University
Country South Korea
Scopus ID 60007408300
Documents 4
Citations 1
h-index 1
Subject Area Artificial Intelligence
Event The Scientist Global Awards
ORCID 0009-0004-1123-2779

The Innovative Research Award recognizes researchers whose scholarly activities demonstrate emerging contributions to their respective disciplines through scientific publications, research engagement, and academic development. Vyshnavi Ramineni of Chosun University has established an early research profile within the field of Artificial Intelligence, contributing peer-reviewed publications indexed in Scopus while participating in contemporary computational research.[1] The award highlights the importance of encouraging promising investigators whose work supports continued scientific advancement and interdisciplinary innovation.[2]

Abstract

This article summarizes the academic profile of Vyshnavi Ramineni in relation to the Innovative Research Award presented through The Scientist Global Awards. The overview considers available bibliometric indicators, institutional affiliation, research specialization, and scholarly output indexed within Scopus. The article is intended as a neutral academic summary describing measurable research achievements and future scholarly potential.[1]

Keywords

Artificial Intelligence, Machine Learning, Computational Research, Scientific Publications, Research Innovation, Academic Recognition.

Introduction

Artificial Intelligence continues to expand across engineering, healthcare, manufacturing, education, and digital technologies, creating opportunities for emerging researchers to contribute novel computational methods and intelligent systems. Academic recognition programs acknowledge researchers who demonstrate measurable scholarly activity while supporting future scientific development through sustained research productivity.[2]

Research Profile

Vyshnavi Ramineni is affiliated with Chosun University in South Korea and conducts research within the domain of Artificial Intelligence. According to the available Scopus author profile, the researcher has published four indexed documents, received one citation, and currently holds an h-index of one. These bibliometric indicators represent the documented scholarly record available through the Scopus database at the time of preparation.[1]

Research Contributions

The research activities are associated with Artificial Intelligence and computational approaches that support the advancement of intelligent technologies. Published work contributes to the broader scientific literature by participating in peer-reviewed dissemination, thereby supporting collaboration, reproducibility, and continuing academic dialogue. Continued publication and interdisciplinary engagement may further strengthen future research visibility.[3]

Publications

Peer-reviewed research publications indexed in the Scopus database, research contributions within Artificial Intelligence and related computational topics, scholarly publications supporting academic communication and scientific dissemination, and research outputs contributing to international academic literature.[1]

Research Impact

Bibliometric indicators provide one perspective for evaluating scholarly influence through publications, citations, and citation-based metrics. Although the present citation record reflects an early stage of academic development, continued publication in internationally indexed journals may expand research visibility, collaboration opportunities, and scientific impact over time.[1]

Award Suitability

The Innovative Research Award emphasizes measurable scholarly engagement, emerging research potential, and participation in internationally recognized scientific publication. Based on the available bibliometric information, institutional affiliation, and documented research activity, the academic profile aligns with the objectives of recognizing developing researchers contributing to Artificial Intelligence through peer-reviewed scholarship.[2]

Conclusion

This academic profile presents a structured overview of Vyshnavi Ramineni’s documented scholarly achievements based on publicly available bibliometric information. Recognition through the Innovative Research Award reflects continued encouragement for scientific excellence, responsible research practice, and ongoing contributions to Artificial Intelligence research within the international academic community.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Vyshnavi Ramineni, Author ID 60007408300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60007408300
  2. The Scientist Global Awards. (n.d.). Innovative Research Award and Academic Recognition Program. https://thescientists.net/
  3. Digital Object Identifier Foundation. Example DOI resource relevant to digital scholarly publishing. https://doi.org/10.1109/5.771073

Nurhadhinah Nadiah Ridzuan | Artificial Intelligence | Research Excellence Award

Posted on by The Scientist

Ms. Nurhadhinah Nadiah Ridzuan | Artificial Intelligence | Research Excellence Award

Student | Universiti Brunei Darussalam | Brunei Darrussalam

Ms. Nurhadhinah Nadiah Ridzuan is a researcher at Universiti Brunei Darussalam specializing in artificial intelligence applications in the financial sector, with a strong focus on regulation, ethics, and governance. Her research examines the balance between technological innovation and responsible financial practices, particularly in FinTech ecosystems and regulatory sandboxes. She has authored multiple peer-reviewed publications, accumulating 141 citations, with an h-index of 3 and an i10-index of 2. Her highly cited 2024 work on AI, regulation, and ethical responsibility reflects significant scholarly impact. Ridzuan actively collaborates with international researchers across finance, digital governance, and Industry 4.0 studies. Her work contributes to policy-relevant insights that support ethical AI adoption, inclusive financial systems, and sustainable digital transformation in emerging and global financial markets.

Citation Metrics (Google Scholar)

141
100
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Citations

141

h-index

3

i10-index

2

Citations

h-index

i10-index

View Google Scholar Profile
 View Scopus Profile View ResearchGate Profile

Featured Publications


Modelling Individual Performance in Industry 4.0 with Artificial Intelligence and Organisational Strategies in the Financial Sector

– In Multi-Industry Digitalization and Technological Governance in the AI Era (2025). | Citations: 2


Exploratory Study of the FinTech Regulative Sandbox: Opportunities and Challenges

– In Promoting Inclusivity and Accessibility with FinTech (2026).

Yinfeng Yang | Artificial Intelligence | Research Excellence Award

Posted on by The Scientist

Assoc. Prof. Dr. Yinfeng Yang | Artificial Intelligence | Research Excellence Award

Deputy Director | School of Medical Informatics Engineering, Anhui University of Chinese Medicine | China

Dr. Yinfeng Yang is a distinguished researcher at Anhui University of Chinese Medicine, known for impactful contributions at the interface of traditional Chinese medicine, molecular pharmacology, and bioinformatics-driven disease mechanism analysis. His academic influence is demonstrated by 5,738 citations, 45 publications, and an h-index of 18, underscoring his growing global recognition in biomedical research. Dr. Yang’s work spans cancer biology, immunometabolism, and natural-product-based therapeutics, with recent studies exploring the clinicopathological relevance of BRCA1 in gastric cancer, mitochondrial pathways in rheumatoid arthritis, and angiogenesis-targeting mechanisms of Ginkgo biloba leaves. His research integrates advanced computational tools, systems pharmacology, and machine learning to decode complex biological networks and accelerate drug discovery particularly in ADMET prediction and precision therapeutic strategies. With more than 120 co-authors and interdisciplinary collaborations across oncology, pharmacology, and traditional medicine, Dr. Yang has built a broad scientific network that strengthens the translational potential of his findings. His publications in high-impact journals and open-access platforms contribute to global knowledge accessibility while supporting evidence-based modernization of traditional Chinese medicine. Dr. Yang’s work carries clear societal relevance, offering novel insights for developing safer, more effective treatments for chronic inflammatory diseases and gastrointestinal cancers. His sustained research output and increasing citation impact position him as a valuable contributor to global biomedical innovation and integrative medicine research.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Ru, J., Li, P., Wang, J., Zhou, W., Li, B., Huang, C., Li, P., Guo, Z., Tao, W., Yang, Y., … (2014). TCMSP: A database of systems pharmacology for drug discovery from herbal medicines. Journal of Cheminformatics, 6(1), 13. Cited by: 5,020

  2. Qian, S., Wei, Z., Yang, W., Huang, J., Yang, Y., & Wang, J. (2022). The role of BCL-2 family proteins in regulating apoptosis and cancer therapy. Frontiers in Oncology, 12, 985363. Cited by: 876

  3. Yang, Y., Li, Y., Wang, J., Sun, K., Tao, W., Wang, Z., Xiao, W., Pan, Y., Zhang, S., … (2017). Systematic investigation of Ginkgo biloba leaves for treating cardio-cerebrovascular diseases in an animal model. ACS Chemical Biology, 12(5), 1363–1372. Cited by: 99

  4. Li, Y., Gao, W., Li, F., Wang, J., Zhang, J., Yang, Y., Zhang, S., & Yang, L. (2013). An in silico exploration of the interaction mechanism of pyrazolo[1,5-a]pyrimidine-type CDK2 inhibitors. Molecular BioSystems, 9(9), 2266–2281. Cited by: 53

  5. Li, Y., Wang, J., Xiao, Y., Wang, Y., Chen, S., Yang, Y., Lu, A., & Zhang, S. (2015). A systems pharmacology approach to investigate the mechanisms of action of Semen Strychni and Tripterygium wilfordii Hook F for treatment of rheumatoid arthritis. Journal of Ethnopharmacology, 175, 301–314. Cited by: 51