Archives December 2025

Ir. Dr. YM Tang Recognized as a 2025 ScholarGPS Highly Ranked Scholar

We are pleased to announce that Ir. Dr. YM Tang, our principal investigator of the RIVRT research team, has been recognized as a 2025 ScholarGPS Highly Ranked Scholar – Prior Five Years, placing him among the top 0.05% of scholars worldwide across all fields.

This distinction is conferred by ScholarGPS, a globally recognized scholarly analytics platform that evaluates academic performance using artificial intelligence, data mining, and large-scale citation analysis covering over 30 million scholars, 200 million publications, and 3 billion citations worldwide.

About the Recognition

According to the official ScholarGPS announcement, this recognition reflects:

  • Exceptional research productivity
  • High scholarly impact
  • Outstanding quality of academic contributions

Dr. Tang’s ranking is based on his scholarly accomplishments over the most recent five-year period, evaluated across all fields of scholarly endeavor. His overall global position is ranked at approximately #4,300 worldwide, an achievement that highlights sustained research excellence and international impact.

ScholarGPS Methodology

ScholarGPS rankings are derived from comprehensive bibliometric indicators, including publication volume, citation impact, and h-index–based metrics, analyzed at multiple levels such as overall, field, discipline, and specialty. The platform provides an objective, data-driven assessment of scholarly influence and visibility.

Certificate and Recognition

An official 2025 ScholarGPS Highly Ranked Scholar certificate has been issued, formally recognizing Dr. Tang’s achievement. The certificate highlights his inclusion in the top 0.05% of scholars globally, underscoring the significance of this honor.

This recognition further demonstrates the global research standing of the RIVRT team and reflects our commitment to producing high-impact, internationally visible research across interdisciplinary domains. Dr. Tang’s achievement contributes to strengthening RIVRT’s academic reputation and reinforces our role in advancing research excellence.

We extend our warm congratulations to Dr. Tang on this outstanding achievement.

Ir. Dr. YM Tang’s Research Featured on MDPI WeChat: Cold Chain Logistics and Customer Satisfaction in Fresh E-Commerce

We are pleased to share that a research article co-authored by Ir. Dr. Yuk Ming Tang has been featured on MDPI’s official public WeChat channel, reaching a wide audience of scholars and industry practitioners in electronic commerce and logistics.

Featured Article

How Does Cold Chain Logistics Service Quality Affect Customer Satisfaction in Fresh E-Commerce?
(Published in Journal of Theoretical and Applied Electronic Commerce Research, MDPI)

Research Background

With the rapid adoption of mobile internet and smart devices, online purchasing of fresh food has become part of daily life for many consumers—especially following the COVID-19 pandemic. However, fresh products are highly perishable and sensitive to temperature, time, and handling conditions, making cold chain logistics a critical factor shaping customer experience.

Traditional logistics service quality (LSQ) models are largely developed for B2B or general merchandise contexts and are not fully applicable to fresh e-commerce. This study directly addresses that gap by proposing a customer-oriented LSQ evaluation framework tailored specifically to fresh food e-commerce.

Research Focus and Methodology

The study investigates a key research question:
Which dimensions of cold chain logistics service quality most significantly influence customer satisfaction in fresh e-commerce?

To answer this, the research team conducted a systematic empirical study involving:

  • Literature review and dimension development, integrating SERVQUAL theory with fresh product logistics characteristics
  • Expert evaluation, with logistics professionals reviewing and refining the measurement scale
  • Survey-based data collection, yielding 222 valid responses
  • Statistical analysis, including exploratory factor analysis and reliability and validity testing

Key Findings

The final logistics service quality model identifies four core dimensions comprising 19 measurement items:

  1. Reliability – delivery accuracy, timeliness, and information correctness
  2. Freshness – sensory quality and professional handling upon arrival
  3. Convenience – flexibility of ordering, delivery time options, and packaging usability
  4. Personnel Contact Quality – responsiveness, professionalism, and service attitude

Among these, convenience emerged as the most influential factor affecting customer satisfaction, followed by reliability, freshness, and personnel contact quality. The findings highlight that modern consumers value not only product freshness, but also how conveniently and flexibly products are delivered.

Visibility and Impact

The article’s feature on MDPI’s WeChat platform significantly enhances its visibility among Chinese-speaking academic and industry communities, reinforcing RIVRT’s commitment to impactful, practice-oriented research that bridges theory and real-world application.

We encourage colleagues, partners, and readers to share the WeChat article within their professional networks to further increase its reach and impact.

Scan the QR Code on the left to read the full article in English

Wang, L.; Tang, Y.-M.; Chau, K.-Y.; Zheng, X. Empirical Research of Cold-Chain Logistics Service Quality in Fresh Product E-Commerce. J. Theor. Appl. Electron. Commer. Res. 2024, 19, 2543-2556.

📲 Read the full WeChat feature here:
https://mp.weixin.qq.com/s/7JZ44S9tlSliHZRcAdKcoA

Ir. Dr. YM Tang Showcases Research at 2025 China High-Tech Fair in Guangzhou (高校科技成果交易會)

We are proud to announce that our Principal Investigator, Ir. Dr. Yuk Ming Tang, participated in the 2025 University Science and Technology Achievements Fair (高校科技成果交易會) held in Guangzhou from December 15 to 17, 2025. The event was co-hosted by the Guangdong Provincial Government and the Ministry of Education, and brought together over 600 universities and more than 3,000 technology projects from across China.

As part of this national initiative to transform academic research into industrial value, Dr. Tang represented RIVRT and The Hong Kong Polytechnic University in the Guangdong-Hong Kong-Macao Greater Bay Area Regional Technology Transfer Center. He presented RIVRT’s latest research projects in virtual reality, digital twin, and AI applications, engaging with enterprise representatives, policymakers, and fellow researchers to explore collaborative innovation opportunities.

During the plenary session, key national and provincial leaders such as Guangdong Party Secretary Huang Kunming and Minister of Education Huai Jinpeng emphasized the importance of integrating technological innovation with industrial development, and encouraged closer university-industry partnerships. Dr. Tang’s participation aligned with this mission, showcasing how RIVRT’s research directly supports the development of “New Productive Forces” (新質生產力) through actionable innovation and interdisciplinary collaboration.

📸 A gallery of Dr. Tang’s participation, including exhibition booth photos and technology showcases, is available here:

Ir. Dr. YM Tang Presenting at the Conference
Ir. Dr. YM Tang Presenting at the Conference
Ir. Dr. YM Tang Presenting at the Conference
2025 高校科技成果交易會
2025 高校科技成果交易會會場
2025 高校科技成果交易會會場

Congratulations on Winning the Gold Medal at AEII 2025 for Intelligent Driving Training & Evaluation System

We are proud to announce that the RIVRT research team has been awarded the Gold Medal at the Asia Exhibition of Innovations and Inventions (AEII) 2025, held in Hong Kong from 4–5 December 2025. The award was granted by an international jury in recognition of our project:

“Intelligent Driving Training and Evaluation System for Heavy-Duty Trucks.”

About the Award

AEII is a well-established international innovation exhibition that brings together cutting-edge inventions from universities, research institutes, and industry worldwide. All submissions are rigorously evaluated by an international jury panel based on technological novelty, practical impact, and innovation potential. Receiving the Gold Medal represents the highest level of recognition at the exhibition.

The official medal certificate, issued by Inventions Hong Kong, confirms that the project was examined and unanimously selected for the Gold Award by the jury.

About the Award-Winning Project

The Intelligent Driving Training and Evaluation System for Heavy-Duty Trucks addresses critical challenges in commercial vehicle driver training, road safety, and operational efficiency. The system integrates:

  • Artificial Intelligence (AI)–based driving behavior analysis
  • Data-driven evaluation models for objective driver performance assessment
  • Simulation and intelligent feedback mechanisms to enhance training effectiveness
  • Decision-support tools for instructors and fleet operators

By focusing on heavy-duty trucks, the system targets a sector with high safety risks and significant economic and environmental impact. The proposed solution supports safer driving practices, standardized training, and improved evaluation accuracy, contributing to smarter transportation and sustainable logistics.

Gold Award Certificate of AEII
Prof. Fu and Celia
AEII Exhibition Booth Setup
AEII Exhibition Booth Setup

Exhibition Participation

During AEII 2025, members of the RIVRT team participated on-site at Booth 1D-B49, presenting the system to international judges, researchers, industry professionals, and the public. The exhibition provided valuable opportunities for technical exchange, feedback, and potential industry collaboration.

Project Team

The project was developed by The Hong Kong Polytechnic University, with the lead by:

  • Prof. FU Xiaowen
  • Ir. Dr. TANG Yuk Ming

Their leadership and interdisciplinary collaboration were instrumental in translating research outcomes into a practical and impactful innovation.

Looking Forward

This Gold Medal recognition reinforces RIVRT’s commitment to applied research, industry-relevant innovation, and real-world impact. We will continue advancing intelligent transportation technologies and strengthening collaborations with academia, industry, and policymakers.

We sincerely thank the AEII organizers, international jury members, and all supporters who contributed to this achievement.