Innovative Research Award
Yingbo Wu
Chongqing University, China
Yingbo Wu is a researcher affiliated with Chongqing University, China, whose documented scholarly profile is associated with artificial intelligence and machine learning.These indicators provide a bibliometric view of research productivity and scholarly influence and are considered alongside the subject relevance and documented research contributions when assessing suitability for an innovative research recognition. [1]
Abstract
The Innovative Research Award recognition profile for Yingbo Wu highlights documented scholarly activity in artificial intelligence and machine learning.[1] The profile is situated within the broader development of computational methods that support intelligent systems, data-driven modelling, automated decision-making, and machine learning applications.
Keywords
Artificial intelligence; machine learning; intelligent systems; computational research; data-driven methods; algorithmic innovation; scholarly impact; research productivity; Chongqing University; Innovative Research Award.
Introduction
Artificial intelligence and machine learning have become important research areas across computer science, engineering, information systems, and interdisciplinary scientific applications. Research in these fields commonly addresses the development of computational models, learning algorithms, intelligent decision systems, pattern recognition approaches, and methods for extracting useful information from complex datasets. The scholarly record of an individual researcher can therefore be considered through both qualitative subject alignment and quantitative indicators of research activity.
Yingbo Wu is affiliated with Chongqing University in China and is identified in the supplied academic information with a research focus on artificial intelligence and machine learning. The Scopus author record supplied for this profile identifies 65 documents, 905 citations, and an h-index of 16. [1] These bibliometric measures provide a standardized basis for describing the scale and citation visibility of the documented research output.
Research Profile
Wu’s research profile is positioned within artificial intelligence and machine learning, a field characterized by the design and evaluation of computational systems capable of learning from data, recognizing patterns, supporting prediction, and performing tasks that traditionally require aspects of human reasoning. Within this broad discipline, research contributions may span theoretical models, algorithm development, system architecture, computational optimization, and application-oriented machine learning.
- Affiliation: Chongqing University.
- Primary subject area: Artificial Intelligence and Machine Learning.
Research Contributions
The supplied research classification places Wu’s scholarly activity within artificial intelligence and machine learning. This area encompasses research intended to improve the ability of computational systems to learn from structured or unstructured information and to perform analytical or predictive tasks. Such work can contribute to the broader development of intelligent computational methods and their application across scientific and engineering domains.
From an academic recognition perspective, the documented profile is relevant to innovation-oriented assessment because artificial intelligence and machine learning are strongly dependent on methodological development, computational experimentation, model evaluation, and the translation of research findings into practical or scientific applications. The available bibliometric record provides supporting evidence of continued scholarly dissemination and citation visibility. [1]
Publications
The supplied Scopus profile identifies 65 indexed documents associated with the researcher. [1] These indexed outputs form the bibliometric basis for evaluating publication activity in the context of this recognition profile. Because a complete publication list was not supplied as part of the source data, individual publication titles are not reproduced here to avoid attributing works without direct verification.
Publication indexing and citation data can provide useful evidence of scholarly dissemination. Scopus is a bibliographic and citation database widely used for tracking research publications and citation relationships, while DOI identifiers provide persistent links to individual scholarly works when available. [2] [5]
Research Impact
The supplied metrics indicate 905 citations across 65 documents and an h-index of 16. [1] In bibliometric terms, the h-index represents a threshold relationship between publication count and citation count, while total citations provide an aggregate measure of how frequently the indexed publications have been cited.
Within artificial intelligence and machine learning, research impact may be reflected through scholarly citations, methodological reuse, integration into subsequent studies, and application in computational or interdisciplinary settings. A balanced assessment therefore considers quantitative indicators together with the substance and relevance of the underlying research outputs.
Award Suitability
The available evidence supports consideration of Yingbo Wu for an Innovative Research Award within the New Scientists Awards framework. The principal documented factors are the researcher’s alignment with artificial intelligence and machine learning, an indexed publication record of 65 documents, 905 recorded citations, and an h-index of 16. [1]
Award suitability should be understood as an academic recognition assessment based on the available research record. The quantitative indicators establish a documented level of scholarly activity and citation visibility, while the subject-area alignment connects the profile with a rapidly developing field of scientific and technological research. Final recognition remains dependent on the applicable evaluation procedures of the New Scientists Awards.
Conclusion
Yingbo Wu’s documented academic profile at Chongqing University is associated with artificial intelligence and machine learning and includes 65 indexed documents, 905 citations, and an h-index of 16 according to the supplied Scopus information. [1] The combination of sustained publication activity, citation visibility, and relevance to a major contemporary research discipline provides a substantive basis for consideration within an innovative research recognition context.
The profile should be interpreted using the cited academic sources and current author records, with bibliometric indicators serving as supporting evidence rather than as a substitute for detailed peer evaluation of individual research contributions.
External Links
References
- Elsevier. (n.d.). Scopus author details: Yingbo Wu, Author ID 36976321800. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=36976321800
- Elsevier. (n.d.). Scopus: Abstract and citation database. Elsevier.
https://www.scopus.com/
- ORCID. (n.d.). Yingbo Wu — ORCID record. ORCID.
https://orcid.org/0000-0002-6180-8762
- New Scientists Awards. (n.d.). New Scientists Awards — Official Website.
https://newscientists.net/
- Crossref. (n.d.). DOI Handbook and DOI metadata services. Crossref.
https://doi.org/