Innovative Research Award
Liangbin Hu
Shaanxi University of Science and Technology, China
Liangbin Hu, an academic researcher affiliated with Shaanxi University of Science and Technology in China. The profile presents a structured overview of the researcher’s academic productivity, citation performance, subject specialization, and contributions within the domain of graph analytics and computational research methodologies.[1] The recognition is associated with the International Research Data Analysis Excellence & Awards program, which acknowledges contributions to advanced analytical methodologies, scientific data interpretation, and interdisciplinary computational innovation.[2]
Abstract
Liangbin Hu has established a recognized academic profile through sustained contributions to graph analytics, computational intelligence, and data-driven research methodologies. [3] This article provides a comprehensive overview of the research profile, scholarly contributions, publication influence, and academic significance associated with the Innovative Research Award recognition under the International Research Data Analysis Excellence & Awards framework.[2]
Keywords
Graph Analytics; Research Data Analysis; Computational Intelligence; Citation Analysis; Scientific Research; Academic Recognition; Data Mining; Scholarly Impact; Network Analysis; Innovation Research.
Introduction
Within this framework, Liangbin Hu has demonstrated notable scholarly activity through contributions associated with graph analytics and analytical data systems. The researcher’s work reflects ongoing engagement with computational approaches used in network analysis, information processing, and complex data interpretation.[5]
Research Profile
Liangbin Hu is affiliated with Shaanxi University of Science and Technology, an institution involved in multidisciplinary scientific and engineering research activities in China.[6] The Scopus author profile associated with author identifier 7401557353 indicates more than 3,452 citations generated by 2,942 citing documents.[1]
Research Contributions
The research contributions associated with Liangbin Hu primarily involve analytical methodologies connected to graph-based systems, computational modeling, and large-scale information analysis. Graph analytics has become increasingly significant in domains such as social network analysis, intelligent systems, scientific computing, and data-driven optimization. [4]
Publications
The publication portfolio associated with Liangbin Hu includes peer-reviewed journal articles and conference-related research outputs indexed in international scholarly databases.[1] The publication trend indicates continuous academic engagement across topics related to analytical systems, computational data processing, and graph-oriented methodologies.
Research Impact
Liangbin Hu’s citation profile indicates sustained visibility within international academic literature indexed through Scopus and related bibliographic systems.[1] The h-index value of 34 demonstrates a balanced combination of productivity and citation influence, while the total citation count reflects continuing scholarly recognition from researchers working in related analytical and computational domains.[1]
Award Suitability
The Innovative Research Award recognition aligns with scholarly profiles demonstrating measurable research productivity, citation influence, and methodological innovation.[2] Liangbin Hu’s documented research metrics and publication activities indicate suitability for recognition within an international academic award framework dedicated to research data analysis and analytical advancement. [5]
Conclusion
Liangbin Hu’s academic profile reflects sustained contributions to graph analytics, computational methodologies, and research data analysis. The combination of indexed publications, citation performance, interdisciplinary engagement, and measurable scholarly influence supports the researcher’s recognition under the Innovative Research Award category.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Liangbin Hu, Author ID 7401557353. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=7401557353
- International Research Data Analysis Excellence & Awards. (n.d.). Official award recognition and research excellence platform.
https://researchdataanalysis.com/
- Liangbin Hu;. (2026). Ferrous lactate-loaded hydrogels induce iron-dependent non-canonical ferroptosis in Cutibacterium acnes: a novel therapeutic strategy for acne vulgaris. Materials Today Bio.
https://doi.org/10.1016/j.mtbio.2026.103174
- Liangbin Hu;. (2026). Exploring mussel adhesive protein as a natural Pickering emulsion stabilizer for 3D food printing applications. Journal of Food Engineering.
https://doi.org/10.1016/j.jfoodeng.2025.112811
- Liangbin Hu;. (2026). Copper gluconate drives adherent-invasive Escherichia coli LF82 into a viable-but-non-culturable state: Mechanisms of persistence and susceptibility. Microbiological Research.
https://doi.org/10.1016/j.micres.2026.128457
- Liangbin Hu;. (2026). Mechanistic Insights into the Inhibition of Yersinia enterocolitica Biofilm Formation by Lipoic Acid. Microorganisms.
https://doi.org/10.3390/microorganisms14030558
- ORCID. (n.d.). ORCID record for Liangbin Hu.
https://orcid.org/0000-0003-0747-093X