Ronghui Li | Transportations | Innovative Research Award

Innovative Research Award

Ronghui Li
Guangdong Ocean University, China

Ronghui Li
Affiliation Guangdong Ocean University
Country China
Scopus ID 12240711600
Documents 84
Citations 1,056
h-index 16
Subject Area Transportations
Event International Research Award and Honors
ORCID 0000-0003-4850-0138

Ronghui Li is a researcher affiliated with Guangdong Ocean University, China, whose scholarly profile is associated with the field of transportation and related research. The researcher profile supplied for this recognition article records 84 documents, 1,056 citations, and an h-index of 16 in Scopus. These bibliometric indicators provide a quantitative basis for considering research productivity, visibility, and influence within the relevant scholarly literature.[1]

Abstract

This academic recognition profile presents the research record of Ronghui Li of Guangdong Ocean University, China, in the transportation subject area. The profile identifies an established publication and citation record comprising 84 documents, 1,056 citations, and an h-index of 16 according to the supplied Scopus information.[1] Within transportation research, scholarly work contributes to understanding mobility systems, transport operations, infrastructure, logistics, network performance, and the application of analytical and technological approaches to transportation challenges. Research assessment commonly considers both measurable scholarly output and the broader relevance and influence of research contributions.[3]

The Innovative Research Award profile therefore considers research productivity, scholarly visibility, subject-area relevance, potential methodological contribution, and the applicability of research to contemporary transportation challenges. The information presented is intended as an academic recognition summary rather than an independent bibliometric audit.

Keywords

Keywords: Ronghui Li, Innovative Research Award, transportation research, transport systems, transport engineering, mobility research, Guangdong Ocean University, research impact, scholarly publications, research innovation.

Introduction

Transportation research encompasses the study of systems and technologies that enable the movement of people and goods while addressing efficiency, accessibility, safety, sustainability, resilience, and network performance. Contemporary transportation scholarship increasingly combines engineering, data analysis, modelling, optimization, information technologies, and interdisciplinary approaches to address complex mobility requirements.[3]

Ronghui Li’s research profile is associated with the transportation subject area at Guangdong Ocean University. The supplied bibliometric information indicates a sustained body of scholarly output and measurable citation activity. Such indicators can assist in describing research visibility, although citation counts and h-index values are best interpreted alongside the quality, originality, relevance, and practical significance of individual research contributions.[2]

Research Profile

The available profile records Ronghui Li with Scopus Author ID 12240711600 and ORCID identifier 0000-0003-4850-0138. ORCID provides a persistent identifier intended to distinguish researchers and connect scholarly contributions across systems.[2] The supplied Scopus record reports 84 documents, 1,056 citations, and an h-index of 16.

Bibliometric indicators provide useful descriptive evidence about scholarly activity, but they do not independently establish research quality. Responsible assessment generally benefits from combining quantitative indicators with qualitative examination of research originality, methodological soundness, contribution to knowledge, and relevance to the field.[4]

Research Contributions

Research in transportation can contribute across multiple interconnected dimensions, including transport network analysis, mobility planning, infrastructure performance, logistics, traffic operations, intelligent transportation systems, and data-supported decision-making. The significance of a transportation research contribution may be evaluated according to the problem addressed, methodological approach, empirical evidence, reproducibility, and applicability to real-world transport systems.

For an academic recognition assessment, the research record associated with Ronghui Li may therefore be considered in relation to:

  • Development or application of analytical approaches relevant to transportation systems.
  • Research addressing efficiency, performance, safety, sustainability, or resilience in transportation.
  • Scholarly contributions that support evidence-based transport planning and decision-making.
  • Interdisciplinary approaches connecting transportation with engineering, computing, data analysis, or related fields.
  • Research outputs demonstrating relevance to continuing developments in modern transport systems.

These dimensions provide a structured framework for considering innovation without treating a single bibliometric measure as a substitute for detailed scholarly evaluation.

Publications

The supplied profile records 84 scholarly documents associated with Ronghui Li. The publication record should be interpreted in conjunction with the researcher’s verified Scopus and ORCID profiles because publication metadata, author attribution, citation counts, and indexing status can change as databases are updated.[1] The publication portfolio may be further examined for recurring research themes, methodological development, collaboration patterns, journal quality, and contributions to transportation scholarship.

For independent verification of the publication record, readers should consult the researcher’s indexed author profile and persistent researcher identifier. The DOI system can additionally provide persistent links to individual scholarly publications when DOI identifiers are available.[5]

Research Impact

The supplied citation total of 1,056 and h-index of 16 indicate measurable scholarly visibility within the indexed literature. The h-index is a bibliometric indicator describing a combination of publication productivity and citation activity; it should nevertheless be interpreted in relation to disciplinary norms, career stage, publication chronology, and field-specific citation practices.[1]

In transportation research, impact may extend beyond citation performance to include contributions to transport planning, engineering practice, modelling methods, infrastructure management, intelligent mobility, logistics, sustainability, and policy-oriented analysis. Research impact is consequently best considered through multiple forms of evidence, including scholarly uptake, methodological influence, practical application, collaboration, and relevance to transportation challenges.

The broader significance of transportation research is reflected in the longstanding development of economic and engineering approaches to congestion, network capacity, travel behaviour, and transport-system performance. Foundational transportation scholarship demonstrates how analytical models can inform understanding of investment, demand, and congestion phenomena.[3]

Award Suitability

The Innovative Research Award is intended to recognize research activity demonstrating meaningful scholarly contribution, innovation, subject-area relevance, and potential influence. Based on the supplied profile information, Ronghui Li presents several characteristics relevant to an academic recognition assessment, including a documented transportation research affiliation, 84 indexed documents, 1,056 reported citations, and an h-index of 16.

A comprehensive award evaluation should consider the complete research record rather than bibliometric indicators alone. Relevant qualitative dimensions may include:

  • Originality and significance of the research questions addressed.
  • Methodological rigor and reliability of the reported findings.
  • Contribution to transportation knowledge and related disciplines.
  • Evidence of scholarly recognition and research visibility.
  • Potential or demonstrated relevance to transportation practice, technology, policy, or planning.

On the basis of the supplied academic profile, the researcher has a substantive publication and citation record that can support consideration for the Innovative Research Award. Final recognition decisions should remain subject to the award’s established review and verification procedures.

Conclusion

Ronghui Li of Guangdong Ocean University is presented in this academic recognition profile as a transportation researcher with a reported Scopus record of 84 documents, 1,056 citations, and an h-index of 16. The profile indicates sustained scholarly activity and measurable visibility within indexed research literature.[1]

The Innovative Research Award assessment can appropriately combine these quantitative indicators with examination of research originality, methodological quality, subject-area contribution, scholarly influence, and potential practical relevance. Such a balanced approach provides a more comprehensive basis for academic recognition than reliance on bibliometric metrics alone.

References

  1. Elsevier. (n.d.). Scopus author details: Ronghui Li, Author ID 12240711600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=12240711600
  2. ORCID. (n.d.). ORCID record: Ronghui Li. Open Researcher and Contributor ID.
    https://orcid.org/0000-0003-4850-0138
  3. DSTGT-Net: Inductive Dynamic Spatio-Temporal Graph Transformer for multi-vessel long-term trajectory prediction in high-density congested waterways. https://www.sciencedirect.com/science/article/pii/S0029801826023681?via%3Dihub
  4. Robust localization of drifting net cages for autonomous feeding by fusing camera and LiDAR. https://www.sciencedirect.com/science/article/pii/S0029801826020986?via%3Dihub
  5. Integrated ALOS and FXESO-enhanced NMPC for roll-constrained path following of twin-azimuth vessels. https://www.sciencedirect.com/science/article/pii/S0029801826017634?via%3Dihub

Josep Maria Salanova Grau | Transport | Best Researcher Award

Dr. Josep Maria Salanova Grau | Transport | Best Researcher Award

Principal Researcher at Hellenic Institute of Transport (HIT)/ Center for Research and Technology Hellas (CERTH), Greece

Dr. Selmi Kaouther is a dedicated academic and researcher in electronics and neural modeling with over a decade of teaching and leadership experience across Tunisia and Saudi Arabia. Her professional journey is characterized by a consistent pursuit of innovation in electronics and artificial intelligence, particularly in brain-inspired computing systems. Her academic grounding and research excellence are demonstrated through her scholarly contributions, international conference participations, and interdisciplinary engagements. With a solid background in higher education, she continues to contribute meaningfully to the advancement of computational neuroscience and chaos theory applications.

Profile

Google Scholar

Education 🎓

Dr. Selmi received her Doctorate in Electronics from the Faculty of Sciences, Monastir, in 2024. She previously earned a Master’s in Professional Radiocommunication from ISSAT Sousse in 2010, after completing her engineering diploma in teleinformatics from ISITCOM Hammam Sousse in 2011. Her foundational academic training began with a Maîtrise in Computer Science from ISSAT Sousse in 2007. These academic milestones laid the groundwork for her multidisciplinary contributions in computing, neural networks, and intelligent systems.

Experience 👩‍

Her professional career spans over 15 years, beginning as an instructor at the Sousse training center in 2006. She then taught at the University of Sousse until 2011 before joining Taibah University in Saudi Arabia. Between 2011 and 2020, she served not only as a lecturer but also as Head of the Department of Computer Science, demonstrating her leadership and academic administration capabilities. More recently, from 2022 to 2024, she served as a contractual teaching fellow and doctoral researcher at ISI Mahdia, Tunisia. She has taught a diverse range of subjects, including mobile networks, software engineering, cyber security, operating systems, C++/Java programming, cryptography, and intelligent systems.

Research Interests 🔬

Her research interests revolve around the intersection of artificial intelligence, nonlinear dynamics, and computational neuroscience. Specifically, she focuses on the development and application of neuron models with multiple dendrites, exploring their behavior through chaotic attractors. These systems are often used to simulate brain processes and epilepsy dynamics, with potential implications in biomedical and neurocomputational applications. Her work also includes cybersecurity, cloud computing, and AI-integrated system designs.

Awards 🏆

Dr. Selmi’s research excellence is evidenced by several notable publications. Among them is the 2024 Springer journal article in Cognitive Neurodynamics (IF: 3.8), titled “A new class of chaotic attractors using different activation functions in neuron with multi dendrites,” co-authored with Youcef Soufi and Kais Bouallegue, which has attracted considerable attention for its novel modeling approach. Another 2024 Scopus-indexed paper, “Electrical circuit approaches to modeling brain chaos: insights into neural dynamics,” published in IJECECS, explores circuit-based simulations of neural activity. Her 2023 article in Journal of Chemical Health Risks discusses the medical applications of multi-dendrite neurons. She has also contributed to the 2023 AIJR conference proceedings and the IJERCSE with her paper “Generation of Fractal Flower by Two Chaotic Attractors.” Her IEEE-indexed conference paper “Simulator of EEG Using Neural Networks with Neuron Contains Multi Dendrites” (CW 2023), and another IEEE-indexed paper from EECSI 2024, highlight her active engagement in international academic platforms. Additionally, her recent 2024 article in IJSSST introduces a novel chaotic system generated by integrating Chua circuits.

Top Noted Publications 📚

Title: A review of the modeling of taxi services
Authors: JM Salanova, M Estrada, G Aifadopoulou, E Mitsakis
Citations: 162
Index: Procedia-Social and Behavioral Sciences 20, 150-161
Year: 2011

Title: Defining and Evaluating Collaborative Urban Freight Transportation Systems
Authors: J Gonzalez-Feliu, JM Salanova
Citations: 108
Index: Procedia-Social and Behavioral Sciences 39, 172-183
Year: 2012

Title: Design and scenario assessment for collaborative logistics and freight transport systems
Authors: J Gonzalez-Feliu, J Morana, JMS Grau, TY Ma
Citations: 103
Index: International Journal of Transport Economics, 207-240
Year: 2013

Title: A Comparison of Machine Learning Methods for the Prediction of Traffic Speed in Urban Places
Authors: C Bratsas, K Koupidis, JM Salanova, K Giannakopoulos, A Kaloudis, …
Citations: 101
Index: Sustainability 12 (1), 142
Year: 2020

Title: A systematic assessment of the effects of extreme flash floods on transportation infrastructure and circulation: The example of the 2017 Mandra flood
Authors: M Diakakis, N Boufidis, JMS Grau, E Andreadakis, I Stamos
Citations: 93
Index: International Journal of Disaster Risk Reduction 47, 101542
Year: 2020

Conclusion

In conclusion, Dr. Selmi Kaouther stands out as a passionate academic with impactful contributions to neural modeling, artificial intelligence, and chaotic systems. Her interdisciplinary approach bridges electronics, informatics, and neuroscience, advancing theoretical understanding and practical applications. With a career marked by educational leadership, research innovation, and international engagement, she is a deserving nominee for recognition in academic and research excellence.