Xin Wang | Artificial Intelligence in Statistics | Best Paper Award

Published on by Statistics

Ms. Xin Wang | Artificial Intelligence in Statistics | Best Paper Award

Chang’an University | China

Ms. Xin Wang is a dedicated researcher in transportation engineering with a strong interdisciplinary background in engineering and economics. She is currently pursuing her PhD in Engineering at the College of Transportation Engineering, Chang’an University, where she specializes in travel behaviour research, traffic network modelling, optimal network toll problems, and econometric modelling of transport costs and efficiency. She previously earned a Master of Economics degree in Regional Economics and a Bachelor of Economics degree in Finance from Xi’an International Studies University, establishing a solid academic foundation that connects transportation systems with economic analysis. Her professional background includes serving as an Account Manager at the Bank of China, working as a Teaching Assistant at Xi’an International Studies University, and completing an internship as a Lobby Manager at the Bank of China, roles that strengthened her analytical capability, communication skills, and leadership experience. Throughout her academic journey, she has received multiple honors, including several College First-class and Second-class academic scholarships in recognition of her outstanding performance. Xin Wang has also participated in numerous key research projects and academic meetings, such as the World Transportation Convention, the Intelligent Operation and Management Evaluation of the Hong Kong-Zhuhai-Macao Bridge, the Higher Education Discipline Innovation Project 111 on sustainable transportation development in Western China, a research project on a MaaS-based public transportation integrated travel platform in Xi’an, and a study on financing and lending challenges faced by small and medium-sized enterprises. Her scholarly contributions include publications in respected journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Transport Geography, and Special Zone Economy. She is proficient in SPSS, ArcGIS, Endnote, Origin, EViews, Python, Photoshop, and Microsoft Office applications, supporting her research excellence. Fluent in English and Chinese with basic knowledge of French, Xin Wang is supervised by Professor Wei Zhou and is affiliated with the College of Transportation Engineering at Chang’an University in Xi’an, China.

Citation Metrics (Scopus)

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Citations
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Documents
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h-index
3

Citations

Documents

h-index

View Scopus Profile

Featured Publication

Bahri Baran Kocak | Artificial Intelligence in Statistics | Big Data Analytics Award

Published on by Statistics

Dr. Bahri Baran Kocak | Artificial Intelligence in Statistics | Big Data Analytics Award

Dicle University | Turkey

Dr. Bahri Baran Kocak is a dedicated scholar in aviation management, serving as an Assistant Professor at Dicle University’s School of Civil Aviation, where he integrates teaching, research, and academic service with a strong interdisciplinary outlook. Holding a Ph.D. in Aviation Management from Anadolu University, his doctoral research focused on perceptual mapping of Turkish airline services on Twitter within the framework of positioning theory, reflecting his deep interest in digital consumer behavior and aviation analytics. His expertise spans AI techniques, multidimensional and time-series analysis, social media analytics, consumer behavior, psycholinguistics, and structural equation modeling, enabling him to produce research that blends methodological precision with practical relevance for the aviation industry. He has authored impactful journal articles on topics such as airline consumer engagement across platforms like Instagram and YouTube, consumer–brand relationships, web search behavior in airline markets, and deep learning-based airport demand forecasting using Google Trends. His book chapters further demonstrate his breadth, including studies on emoji engagement in airline social media communication and the role of big data in aviation innovation. Across his scholarly contributions, Kocak has consistently examined the intersection of digital behavior, marketing analytics, and aviation management, contributing valuable insights to both academic and industry audiences. According to available academic indexing sources, he has produced 3 documents, accumulated approximately 26 citations, and holds an h-index of 3, reflecting growing recognition of his work within the research community. His academic profile demonstrates a clear commitment to advancing knowledge in aviation management, digital analytics, and consumer engagement, supported by a strong analytical skill set and an expanding body of scholarly output.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Kocak, B. B. (2025). Utilizing online-centered big data in the airline industry. In Book chapter.

Koçak, B. B. (2025). How to use GenAI as a rater in marketing: A comprehensive GenAI-based content coding framework. Yönetim Bilimleri Dergisi.

KOÇAK, B. B. (2023). Comparison of artificial intelligence techniques for the UK air passenger short-term demand forecasting: A destination insight study. Journal of Aviation.

Koçak, B. B. (2021). Fly “With us”! Impact of consumer–brand relationship on consumer engagement: An empirical investigation on Turkish airline Instagram pages. Tüketici ve Tüketim Araştırmaları Dergisi, 13(2), 253–282.

Koçak, B. B. (2022). More than a thousand words!: Emoji engagement on Turkish airline Instagram pages. In Cases on developing effective research plans for communications and media studies.

Kocak, B. B., & Atalik, O. (2019). Perceptual maps of Turkish airline services for different periods using supervised machine learning approach and multidimensional scaling. International Journal of Sustainable Aviation.