Best Researcher Award
Fanglong Yao
Institute of Aerospace Information Innovation, Chinese Academy of Sciences, China
Fanglong Yao is a researcher affiliated with the Institute of Aerospace Information Innovation, Chinese Academy of Sciences, China. His research profile is associated with the subject area of unmanned aerial vehicles (UAVs), a field involving the design, navigation, control, sensing, and application of uncrewed aircraft systems. His reported Scopus-indexed research metrics include 26 documents, 708 citations, and an h-index of 14. These figures provide a bibliometric snapshot of his indexed research output and citation impact; they may change as publication and citation records are updated. [1] [2]
Abstract
This article presents an academic recognition profile of Fanglong Yao, affiliated with the Institute of Aerospace Information Innovation, Chinese Academy of Sciences, China. His stated research subject is unmanned aerial vehicles, a multidisciplinary area that combines aerospace engineering, information technologies, sensing, navigation, and autonomous systems. The supplied bibliometric data report 26 documents, 708 citations, and an h-index of 14 in Scopus. These indicators summarize aspects of indexed research output and citation activity but do not, by themselves, establish the quality, originality, or practical significance of individual contributions. [1] [2]
Keywords
Fanglong Yao; unmanned aerial vehicles; UAV research; aerospace information technology; autonomous systems; research impact; bibliometrics; Scopus; academic recognition; Best Researcher Award.
Introduction
Unmanned aerial vehicles are aircraft designed to operate without an onboard human pilot. Their development and application involve multiple disciplines, including aerodynamics, flight control, navigation, computer vision, remote sensing, communication systems, and autonomous decision-making. UAV research supports applications such as environmental monitoring, surveying, infrastructure inspection, disaster assessment, and geospatial data acquisition. The specific capabilities and applications of a UAV system depend on its design, operating environment, sensors, and supporting software. [3] [4]
Research Profile
Fanglong Yao is associated with the Institute of Aerospace Information Innovation, Chinese Academy of Sciences, in China. The institutional affiliation provides context for the research profile, while the supplied subject classification places his record within the broader UAV research landscape. Verification of his current appointment, specific laboratory, academic rank, and research responsibilities should be based on current institutional information.
Research Contributions
Unmanned aerial vehicle research addresses technical challenges associated with reliable flight, autonomous operation, environmental perception, and the collection or transmission of data. Depending on the specific research program, contributions in this area may involve improvements to flight-control algorithms, path planning, sensor integration, image processing, navigation, communication, or the interpretation of aerial observations. These topics describe the wider discipline and should not be treated as verified descriptions of Fanglong Yao’s individual research outputs without supporting publications.
A rigorous assessment of a researcher’s contributions should examine original publications, stated research questions, methodological design, experimental validation, reproducibility, and the relationship between reported results and prior work. Where a study proposes a new UAV method or system, its contribution may be assessed through appropriate comparisons, transparent performance measures, and evidence that the proposed approach works under the conditions described by the authors. [3] [4]
Publications
The supplied Scopus profile data indicate 26 documents associated with the researcher. This figure is a reported bibliometric value rather than an independently audited publication inventory. The Scopus Author Profile is the appropriate starting point for reviewing indexed records, publication titles, co-authors, source titles, and available citation information. [1]
A complete publication section should identify individual works using their verified bibliographic metadata. Where available, a publication entry should include the authors, article title, journal or conference, year, volume and issue, page range or article number, and DOI. DOI links can help readers locate publisher records and confirm bibliographic details. No individual publication titles or DOIs were supplied for this profile, so none are attributed to Fanglong Yao here.
Research Impact
The supplied bibliometric indicators for Fanglong Yao are 708 citations and an h-index of 14, alongside 26 documents. Citation counts can indicate the extent to which publications are cited within indexed scholarly literature, while the h-index combines publication productivity and citation frequency into a single measure. Each metric captures only part of a researcher’s academic record and depends on the coverage, indexing practices, and update schedule of the database used. [1] [2]
Award Suitability
The Best Researcher Award recognizes academic research activity and may be assessed through a combination of scholarly output, research originality, documented contributions, publication quality, citation evidence, and relevance to the award’s stated criteria. Fanglong Yao’s supplied profile provides an institutional affiliation, a stated subject area, persistent researcher identifiers, and bibliometric figures that may serve as initial material for an evaluation.[5]
Conclusion
Fanglong Yao’s supplied research profile identifies an affiliation with the Institute of Aerospace Information Innovation, Chinese Academy of Sciences, China, and a subject area of unmanned aerial vehicles. The provided bibliometric snapshot reports 26 documents, 708 citations, and an h-index of 14. These indicators offer a concise overview of the indexed research record but require verification and should be interpreted alongside the substance and quality of the underlying work.
External Links
References
- Elsevier. (n.d.). Scopus author details: Fanglong Yao, Author ID 57217525937. Scopus. Researcher profile and indexed publication records.
https://www.scopus.com/authid/detail.uri?authorId=57217525937
- Y Liu, F Yao, et al. (2026). AeroVerse-SkyNav: Neuroscience-inspired unified vision-language-action model for UAV embodied navigation in open urban environments.
https://www.sciencedirect.com/science/article/pii/S0031320326021254
- Colomina, I., & Molina, P. (2014). Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing.
https://doi.org/10.1016/j.isprsjprs.2014.02.013
- Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., & Guizani, M. (2019). Unmanned aerial vehicles: A survey on civil applications and key research challenges.
https://doi.org/10.1109/ACCESS.2019.2909530
- P Wang, H Hu, B Tong, Z Zhang, F Yao, et al. (2024). RingMoGPT: A Unified Remote Sensing Foundation Model for Vision, Language, and Grounded Tasks.
https://ieeexplore.ieee.org/abstract/document/10777289/