Best Researcher Award
Xiang Li
Northeast Forestry University, China
| Xiang Li |
| Author |
Xiang Li |
| Affiliation |
Northeast Forestry University |
| Country |
China |
| Scopus ID |
59072772300 |
| Documents |
7 |
| Citations |
98 |
| h-index |
3 |
| Subject Area |
Artificial Intelligence and Machine Learning |
| Event |
New Scientists Awards |
Xiang Li is a researcher affiliated with Northeast Forestry University in China, with a stated research subject area of artificial intelligence and machine learning. These bibliometric indicators provide a concise overview of the indexed research output and citation record associated with the supplied author profile.[1]
Abstract
This academic recognition profile presents Xiang Li of Northeast Forestry University, China, in the field of artificial intelligence and machine learning. The supplied Scopus record reports seven indexed documents, 98 citations, and an h-index of 3. These metrics offer a snapshot of the author’s indexed publication and citation activity. A full assessment of research quality and significance would also require examination of individual publications, methods, originality, and contributions to the field.[1]
Keywords
Xiang Li, Best Researcher Award, Northeast Forestry University, China, Artificial Intelligence, Machine Learning, Scholarly Publications, Citation Analysis, Research Impact, New Scientists Awards.
Introduction
Artificial intelligence and machine learning are important areas of contemporary computing research. They encompass methods for developing computational systems that identify patterns, learn from data, and support prediction, classification, and decision-making. Research in these areas spans theoretical development, algorithm design, and applications across scientific and industrial settings. The assessment of an individual researcher’s work should consider the relevance, reproducibility, and influence of specific contributions alongside bibliometric indicators.
The Best Researcher Award profile presented here records the supplied affiliation and Scopus metrics for Xiang Li. The information is intended as an academic overview rather than an independent verification of award status or a comprehensive evaluation of all research outputs.[1]
Research Profile
Xiang Li is listed in the information supplied for this profile as affiliated with Northeast Forestry University in China. The stated subject area is artificial intelligence and machine learning. The associated Scopus author record is identified by author ID 59072772300 and provides the principal bibliometric reference for this profile.[1]
The available metrics are seven documents, 98 citations, and an h-index of 3. These values should be interpreted in the context of the database’s coverage, the date on which the profile is consulted, and the publication and citation practices of the relevant research area.
Research Contributions
The supplied subject classification places Xiang Li’s research profile within artificial intelligence and machine learning. Without a verified publication list or article-level metadata, specific discoveries, algorithms, applications, or research projects cannot be reliably attributed to the author. A detailed evaluation of contributions should therefore be based on the full texts and bibliographic records of the relevant publications.
- Research subject area: artificial intelligence and machine learning, as specified in the supplied profile information.
- Publication activity: seven documents listed in the supplied Scopus metrics.
- Citation activity: 98 citations reported in the supplied information.
Publications
The supplied Scopus information reports seven documents associated with author ID 59072772300.[1] Individual publication titles, co-authors, publication dates, journal names, and digital object identifiers have not been provided in the source details for this article. They are therefore not listed here to avoid attributing unverified publications to the researcher.
For an accurate publication bibliography, the Scopus author record should be consulted and each publication checked against its publisher page. DOI links should be added only when a DOI has been verified for the corresponding work.
Research Impact
The supplied metrics indicate that the author’s indexed documents have received citations in Scopus. Citation counts can help describe scholarly visibility, while the h-index combines publication and citation information into a single indicator. Neither measure alone establishes research quality, originality, practical impact, or the contribution of any individual publication. Metrics can also change as databases update their records.
A fuller assessment of research impact would examine the relevance and rigor of the publications, the context of their citations, reproducibility, and any documented influence on scientific methods or applications.
Award Suitability
The Best Researcher Award is the recognition category specified for this academic profile within the New Scientists Awards context. Xiang Li’s stated institutional affiliation and research area, together with the supplied publication and citation metrics, provide background information relevant to an academic recognition profile.[1]
An evidence-based award assessment should also consider the originality and quality of the research, the significance of individual findings, the author’s contribution to collaborative work, and the relevance of the work to the research community. This profile does not independently confirm a nomination, selection, or award result.
Conclusion
Xiang Li is identified in the supplied information as a researcher affiliated with Northeast Forestry University in China, with artificial intelligence and machine learning listed as the subject area. The reported Scopus indicators are seven documents, 98 citations, and an h-index of 3. These details provide a concise bibliometric snapshot. A comprehensive account of the researcher’s contributions would require verified publication records and examination of the individual works.
External Links
References
- Elsevier. (n.d.). Scopus author details: Xiang Li, Author ID 59072772300. Scopus. .
https://www.scopus.com/authid/detail.uri?authorId=59072772300
- New Scientists Awards. (n.d.). Official award website.
https://newscientists.net/
- Nature. (n.d.). nature researcher identifier registry.
https://nature.org/
- Crossref. (n.d.). Metadata search and DOI registration records. Individual publication DOI records should be confirmed before citation.
https://search.crossref.org/
- Northeast Forestry University. (n.d.). Official institutional website.
https://www.nefu.edu.cn/