Guo Zeqiang | Artificial Intelligence | Best Researcher Award

Published on by Awards and Recognitions

Best Researcher Award

Guo Zeqiang
He Law School of Anhui Normal University

Guo Zeqiang
Affiliation he Law School of Anhui Normal University
Country China
Documents 20
Citations 211
h-index 9
Subject Area Artificial Intelligence
Event Research Awards and Recognitions

Guo Zeqiang is a researcher affiliated with He Law School of Anhui Normal University in China. His documented scholarly profile includes 20 research documents, 211 citations, and an h-index of 9. The profile is associated with research involving Artificial Intelligence, reflecting an interdisciplinary area in which computational methods and intelligent technologies increasingly intersect with academic and professional practice. [1]

Abstract

This article presents a concise academic profile of Guo Zeqiang in connection with the Best Researcher Award. Affiliated with the Law School of Anhui Normal University, Guo’s research profile is associated with Artificial Intelligence and includes 20 documented research documents, 211 citations, and an h-index of 9. These indicators provide a quantitative view of scholarly activity and visibility. [1]

Keywords

Guo Zeqiang; Best Researcher Award; Artificial Intelligence; academic research; scholarly publications; research impact; Anhui Normal University; China.

Introduction

Artificial Intelligence has become an important research domain spanning computing, law, social sciences, engineering, and other disciplines. Researchers working in this area contribute to the development, application, interpretation, and evaluation of intelligent technologies. Within this broader academic context, Guo Zeqiang’s profile records research activity connected with Artificial Intelligence. The available scholarly indicators offer a basis for describing the scale and citation visibility of this research record. [1]

Research Profile

The available profile identifies 20 documents and 211 citations, with an h-index of 9. Citation counts can provide evidence of how frequently published research has been referenced by subsequent scholarly work, while the h-index combines publication and citation dimensions into a single bibliometric measure. Such indicators should be interpreted alongside the researcher’s subject area, publication venues, authorship, and individual contributions. [1]

Research Contributions

Guo Zeqiang’s documented research activity is associated with Artificial Intelligence. The interdisciplinary nature of this field creates opportunities to examine intelligent systems through different academic perspectives. Research contributions in such settings may involve conceptual development, methodological analysis, technological applications, or evaluation of emerging approaches. The specific contribution of each publication should be assessed from the original scholarly record.

Publications

The available profile records 20 research documents. These publications form the documented basis for examining the researcher’s scholarly output and citation activity. A complete assessment of publication quality requires consideration of individual titles, journals or conferences, publication dates, research methods, co-authorship, and subsequent scholarly use. The public academic profile provides an additional source for reviewing listed works. [2]

Research Impact

The reported total of 211 citations and an h-index of 9 indicates measurable citation activity within the available scholarly record. Citation metrics are influenced by disciplinary norms, publication age, database coverage, collaboration patterns, and the size of the research community. Consequently, bibliometric indicators are most appropriately considered as quantitative evidence alongside qualitative examination of research contributions. [1]

Award Suitability

The Best Researcher Award profile for Guo Zeqiang is supported by the documented research record, affiliation, publication activity, citation count, and h-index presented above. These details provide objective information for consideration within the Research Awards and Recognitions framework. Award decisions may also involve criteria beyond bibliometric indicators, including research originality, relevance, methodological quality, and documented scholarly contributions.

Conclusion

Guo Zeqiang is affiliated with the Law School of Anhui Normal University in China and has a documented research profile associated with Artificial Intelligence. The reported record comprises 20 documents, 211 citations, and an h-index of 9. Together, these details provide a concise quantitative overview of scholarly activity and establish the academic context for the Best Researcher Award profile.

References

  1. Public scholarly profile information for Guo Zeqiang, including documented research documents, citations, and h-index.
    Google Scholar Profile
  2. Research Awards and Recognitions. Official Award Website.
    https://awardsandrecognitions.com/

Nayif Awad | Artificial Intelligence | Research Excellence Award

Published on by Awards and Recognitions

Research Excellence Award

Nayif Awad
Researcher Nayif Awad
Affiliation Sakhnin Academic College
Country Israel
Scopus ID 57195489188
Documents 10
Citations 78
h-index 4
Subject Area Artificial Intelligence
Event Research Awards and Recognitions
ORCID 0000-0002-4639-4784

Nayif Awad
Sakhnin Academic College

Nayif Awad is a researcher affiliated with Sakhnin Academic College, Israel, with a documented research profile in Artificial Intelligence. The supplied scholarly record reports 10 documents, 78 citations, and an h-index of 4. These bibliometric indicators provide a concise quantitative description of the research activity represented in the identified author profile.
[1]

Abstract

Nayif Awad is affiliated with Sakhnin Academic College in Israel and has a documented research profile associated with Artificial Intelligence. The supplied Scopus information records 10 documents, 78 citations, and an h-index of 4. These indicators provide a quantitative overview of publication activity and citation recognition within the identified scholarly record.[1]

Keywords

Nayif Awad; Artificial Intelligence; Research Excellence Award; research profile; bibliometrics; scholarly publications; citations; h-index; Sakhnin Academic College; Israel; research recognition.

Introduction

Artificial Intelligence is a broad interdisciplinary field involving computational approaches for learning, reasoning, prediction, automation, and intelligent information processing. Research in this area contributes to theoretical development, computational methods, technological applications, and interdisciplinary problem solving. Within this context, the supplied profile identifies Nayif Awad with Artificial Intelligence and Sakhnin Academic College in Israel.

Research Profile

The supplied Scopus author record identifies Nayif Awad through Author ID 57195489188. The profile contains 10 documents, 78 citations, and an h-index of 4. These values represent the bibliometric information supplied for this article and may change as databases are updated.[1]

Research Contributions

The supplied information places Awad’s research activity within Artificial Intelligence and documents a publication record represented by 10 Scopus documents. The available data establish the research area and bibliometric profile but do not provide sufficient details about individual methodologies, datasets, applications, or specific findings. Consequently, those aspects are not inferred in this article.

Publications

The supplied Scopus record reports 10 documents associated with the identified author profile. Individual publication titles, journals, publication dates, citation distributions, and DOI identifiers were not included in the supplied information. Therefore, no individual publication is attributed to the researcher without a corresponding verified bibliographic record.[1]

Research Impact

The supplied record reports 78 citations and an h-index of 4. Citation counts provide information about how frequently indexed scholarly publications have been cited, while the h-index combines publication and citation information into a single bibliometric indicator. Such measures should be interpreted in relation to discipline, publication period, database coverage, and citation practices.[1]

Award Suitability

The supplied academic profile is presented in connection with the Research Excellence Award under Research Awards and Recognitions. Relevant documented elements include the researcher’s institutional affiliation, Artificial Intelligence subject area, 10 recorded documents, 78 citations, and h-index of 4.[1]

Conclusion

Nayif Awad is associated with Sakhnin Academic College in Israel and has a documented research profile in Artificial Intelligence. The supplied scholarly information records 10 documents, 78 citations, and an h-index of 4. The ORCID and Scopus identifiers provide additional mechanisms for distinguishing and locating the researcher’s academic record.

References

  1. Elsevier. (n.d.). Scopus author details: Nayif Awad, Author ID 57195489188. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57195489188
  2. ORCID. (n.d.). Nayif Awad, ORCID iD 0000-0002-4639-4784.
    https://orcid.org/0000-0002-4639-4784
  3. Google Scholar. (n.d.). Nayif Awad, Google Scholar Profile.
    https://scholar.google.com/citations?user=j9J_iQEAAAAJ&hl=en&oi=sra
  4. Research Awards and Recognitions. (n.d.). Research Excellence Award and Recognition Website.
    https://awardsandrecognitions.com/

 

Jidan Huang | Artificial Intelligence | Innovative Research Award

Published on by Awards and Recognitions

Innovative Research Award

Jidan Huang

Donghua University, China

Jidan Huang
Affiliation Donghua University
Country China
Scopus ID 57193425191
Documents 10
Citations 36
h-index 4
Subject Area Artificial Intelligence
Event Research Awards and Recognitions
ORCID 0000-0003-2547-0212

Jidan Huang is a Chinese academic affiliated with Donghua University whose research combines artificial intelligence, tourism decision-making, logistics management, and multi-objective fuzzy evaluation. His scholarly activities focus on sustainability assessment, intelligent decision-support systems, and advanced multi-criteria evaluation methodologies applied across tourism, management, and operations research disciplines.[1]

Abstract

This article presents a concise academic overview of Jidan Huang, Associate Professor and Senior Experimentalist at Donghua University. His work spans artificial intelligence, tourism management, logistics decision-making, sustainability evaluation, and fuzzy multi-criteria analysis, emphasizing quantitative frameworks that support evidence-based planning and intelligent decision processes across interdisciplinary research environments.[1]

Keywords

Artificial Intelligence; Tourism Management; Multi-Criteria Decision-Making; Fuzzy TOPSIS; Sustainability Assessment; Green Logistics; Decision Support Systems; Cultural Heritage Tourism; Evaluation Systems; Operations Management.

Introduction

Jidan Huang earned a Bachelor of Engineering from Shanghai Maritime University, followed by a Master of Science in Mathematics and a Doctor of Philosophy in Management Science and Engineering from Donghua University. His interdisciplinary educational background supports research integrating mathematics, management science, artificial intelligence, and applied decision analytics.[2]

Research Profile

As Associate Professor at the Glorious Sun School of Business and Management, Donghua University, Huang supervises graduate students and conducts research in tourism decision-making, logistics optimization, artificial intelligence applications, and multi-objective fuzzy evaluation. He also serves as a peer reviewer for several systems science and operations research journals.[2]

Research Contributions

  • Development of three-interval TOPSIS and fuzzy evaluation methodologies.
  • Research on sustainable tourism assessment and optimization strategies.
  • Green logistics evaluation supporting carbon peaking and carbon neutrality goals.
  • Application of artificial intelligence and neural networks in recognition systems.
  • Multi-criteria decision-making frameworks for regional and industrial evaluation.

Publications

Jidan Huang’s publication record includes research on sustainability evaluation, tourism optimization, green logistics, fuzzy decision-making, and artificial intelligence. Representative studies demonstrate the application of TOPSIS, Delphi methods, fuzzy AHP, and convolutional neural networks to address complex evaluation and recognition problems across multiple sectors.[3][4][5][6]

  1. Integrating Life Cycle Assessment and TOPSIS for Product-Level Sustainability Evaluation of Automotive Vehicles.
  2. Evaluation and Development Path Optimization of Rural Low-Altitude Tourism Using a Triangular Fuzzy TOPSIS Approach.
  3. A Model Based on Delphi and Three-Interval TOPSIS: Sustainable Evaluation of Green Logistics Under the Goals of Carbon Peaking and Carbon Neutrality.
  4. Assessing the Sustainable Development of the Tourism Industry Based on Fuzzy AHP and Grey Relational TOPSIS.
  5. Recognition Method for Stone Carved Calligraphy Characters Based on a Convolutional Neural Network.

Research Impact

According to available author metrics, Jidan Huang has produced 10 indexed publications, accumulated 36 citations, and achieved an h-index of 4. His studies contribute to sustainability evaluation, intelligent decision-making, tourism development analysis, and logistics optimization through rigorous quantitative methodologies.[1]

Award Suitability

Jidan Huang’s combination of interdisciplinary research, scholarly publication, postgraduate supervision, and educational achievements supports recognition within research award programs. His contributions to artificial intelligence applications, sustainability assessment, and decision-support methodologies demonstrate continued engagement with contemporary academic and societal challenges.[2]

Conclusion

Jidan Huang maintains an active academic profile centered on artificial intelligence, tourism management, logistics decision-making, and fuzzy evaluation systems. His research outputs, teaching achievements, and methodological contributions highlight a sustained commitment to interdisciplinary scholarship and practical decision-support research.[1]

References

  1. Elsevier. (n.d.). Scopus Author Details: Jidan Huang, Author ID 57193425191. Scopus Author Profile. https://www.scopus.com/authid/detail.uri?authorId=57193425191
  2. Zheng, M., Chen, H., & Huang, J. (2026). Integrating Life Cycle Assessment and TOPSIS for Product-Level Sustainability Evaluation of Automotive Vehicles. Sustainability. DOI: https://doi.org/10.3390/su18115615
  3. Huang, J., Chen, Y., & Pan, W. (2026). Evaluation and Development Path Optimization of Rural Low-Altitude Tourism Using a Triangular Fuzzy TOPSIS Approach. Sustainability. DOI: https://doi.org/10.3390/su18115534
  4. Li, R., Huang, J., Dai, T., & Yang, Q. (2026). A Model Based on Delphi and Three-Interval TOPSIS: Sustainable Evaluation of Green Logistics Under the Goals of Carbon Peaking and Carbon Neutrality. Sustainability. DOI: https://doi.org/10.3390/su18041920
  5. Yang, Q., Huang, J., & Pan, W. (2026). Assessing the Sustainable Development of the Tourism Industry Based on Fuzzy AHP and Grey Relational TOPSIS. Sustainability. DOI: https://doi.org/10.3390/su17219799
  6. Huang, J., Cheng, G., Zhang, J., & Miao, W. (2022). Recognition Method for Stone Carved Calligraphy Characters Based on a Convolutional Neural Network. Neural Computing and Applications. https://link.springer.com/article/10.1007/s00521-022-08049-9

Yao Li | Artificial Intelligence | Best Researcher Award

Published on by Awards and Recognitions

Mr. Yao Li | Artificial Intelligence | Best Researcher Award

Mr. Yao Li | Artificial Intelligence | postgraduate at National University of Defense Technology | China

Mr. Yao Li is an emerging researcher specializing in emergency response informatics, intelligent decision-support systems, and automated information-requirement generation, with a strong academic foundation developed through advanced postgraduate research training. Mr. Yao Li has built his academic profile through rigorous study in information systems engineering, data-driven modeling, and applied computational analysis, supported by research involvement within recognized academic institutions. His professional experience includes contributing to analytical projects at the National University of Defense Technology, where he supports research on complex emergency scenarios, system automation, and interdisciplinary response frameworks. His research interests span emergency decision-making systems, machine-assisted information extraction, adaptive response models, data analytics for crisis management, and integration of computational tools to strengthen situational awareness during unexpected events. Mr. Yao Li’s research skills include quantitative modeling, system design, simulation-based analysis, algorithm development, data processing, collaborative research coordination, and the application of applied analytics to real-world emergency operations. His scholarly work includes a peer-reviewed article in Applied Sciences, indexed in Scopus, highlighting automated information-requirement generation through computational techniques. Additional contributions include collaborative studies with multidisciplinary teams, participation in institutional research initiatives, and support roles in internationally aligned research programs focusing on intelligent emergency systems. Throughout his academic journey, Mr. Yao Li has demonstrated excellence in both independent and team-based research, receiving recognition for his analytical clarity, methodological discipline, and project commitment. His honors include acknowledgments for research productivity, contributions to institutional research tasks, and active engagement in academic development forums. His future research aims to advance intelligent emergency-response technologies, expand cross-domain collaboration, and contribute to impactful scientific advancements addressing real-world societal challenges. Mr. Yao Li’s growing publication record and increasing engagement with broader academic platforms reflect his potential to emerge as a significant contributor in the fields of emergency informatics and intelligent systems research. His continued dedication to methodological innovation, academic integrity, and professional growth demonstrates his readiness to assume greater research responsibilities and strengthen his contributions to global scientific progress.

Academic Profile: ORCID

Featured Publications:

Li, Y., Guo, C., Lu, Z., Zhang, C., Gao, W., Liu, J., & Yang, J. (2025). Research on the automatic generation of information requirements for emergency response to unexpected events. Applied Sciences.