Yingxia Chen | Computer Science | Research Excellence Award

Dr.Yingxia Chen | Computer Science | Research Excellence Award 

Professor at Yangtze University | China 

Dr. Yingxia Chen is a respected academic and researcher in computer science with strong expertise in software engineering and intelligent computing. Dr. Yingxia Chen received advanced education in computer science and has developed a solid academic foundation that supports both teaching and research leadership. With extensive professional experience in higher education, Dr. Yingxia Chen has contributed actively to scholarly publishing and research supervision. Research interests include artificial intelligence, computer vision, pattern recognition, and deep learning. With 13 documents, 66 citations, and an h-index of 6, Dr. Yingxia Chen demonstrates sustained research impact and academic excellence.

Citation Metrics (Scopus)

80

60

40

20

0

Citations
66

Documents
13

h-index
6

Featured Publications

Mohd Khaled Shambour | Computer Science | Best Paper Award

Prof. Mohd Khaled Shambour | Computer Science | Best Paper Award  

Professor at Middle East University | Jordan

Prof. Mohd Khaled Shambour is an accomplished academic and researcher in the field of computer science, widely recognized for his contributions to intelligent systems and computational optimization. He holds advanced academic qualifications in computer science and intelligent system techniques and has gained extensive experience through senior academic and research roles within higher education and research institutions. His professional work reflects strong expertise in artificial intelligence, optimization techniques, metaheuristic algorithms, data science, scheduling, and timetabling, with a clear emphasis on solving complex real-world problems through innovative computational approaches. Prof. Mohd Khaled Shambour has produced a substantial body of high-impact scholarly work, authoring 40 research documents that have attracted 1,189 citations across 1,039 citing documents, resulting in an h-index of 16, underscoring both productivity and sustained research influence. His research is noted for methodological rigor, interdisciplinary relevance, and practical applicability, and he continues to contribute meaningfully to advancing knowledge, innovation, and academic excellence in computer science.

Citation Metrics (Verified)

1200

900

600

300

0

Citations
1,189

Documents
40

h-index
16

Featured Publications

Christopher Ekeocha | Machine Learning | Best Researcher Award

Mr. Christopher Ekeocha | Machine Learning | Best Researcher Award

Graduate Research Assistant, Africa Centre of Excellence in Future Energies and Electrochemical Systems (ACE-FUELS), Nigeria

🌍 Christopher Ikechukwu Ekeocha is a Nigerian researcher and assistant research fellow specializing in corrosion technology, environmental chemistry, and computational simulation for corrosion studies. With a robust academic background and experience in eco-friendly corrosion mitigation techniques, he has made significant contributions to his field through numerous publications and presentations at international conferences.

Profile

Google Scholar

Education

🎓 Christopher holds a Ph.D. in Corrosion Technology from the Africa Centre of Excellence in Future Energies and Electrochemical Systems (2024), an M.Sc. in Environmental Chemistry (2019), and a B.Tech. in Industrial Chemistry (2008), both from the Federal University of Technology, Owerri, Nigeria.

Experience

💼 As an Assistant Research Fellow at the National Mathematical Centre, Abuja, Christopher has been involved in various national and international academic initiatives, including serving as the Nigerian team leader for the International Chemistry Olympiad. His expertise spans research, teaching, and the development of national curricula.

Research Interest

🔬 Christopher’s research focuses on corrosion detection, eco-friendly mitigation techniques, computational simulations, and ecological risk assessments. He is particularly interested in developing predictive models for corrosion inhibitors and environmental pollution remediation using green materials.

Awards

🏆 Christopher has represented Nigeria internationally at the International Chemistry Olympiad and authored multiple Olympiad textbooks. His leadership in these initiatives has earned him recognition in the academic community.

Publications Top Notes

Ekeocha, C. I., et al. (2024). Data-Driven Machine Learning Models and Computational Simulation Techniques for Prediction of Anti-Corrosion Properties. Materials Today Communications. Link. Cited by 0.

Ekeocha, C.I., et al. (2024). Theoretical Study of Novel Antipyrine Derivatives as Promising Corrosion Inhibitors. Structural Chemistry. Link. Cited by 0.

Ekeocha, C.I., et al. (2023). Review of Forms of Corrosion and Mitigation Techniques: A Visual Guide. African Scientific Reports. Link. Cited by 0.

Ekeocha, C.I., et al. (2024). Synergism of Computational Simulation Technique and Data-Driven Machine Learning Algorithm. The Journal of Physical Chemistry (Revised manuscript submitted). Cited by 0.

Ekeocha, C.I., et al. (2024). Impact of Corrosion Scales on Carbon and Low Alloy Steel Corrosion. Portugaliae Electrochimica Acta (Accepted). Cited by 0.

Conclusion

Ekeocha’s innovative work in corrosion technology and eco-friendly materials, alongside his strong academic background and publication record, make him a strong contender for the Best Researcher Award. However, increasing international exposure and industry collaboration could further solidify his position.