Xianying Feng | Agricultural Engineering & Farm Machinery | Innovative Research Award

Published on by Agri Scientist

Innovative Research Award

Xianying Feng
Shandong University

Xianying Feng
Affiliation Shandong University
Country China
Scopus ID 7403046874
Documents 114
Citations 844
h-index 13
Subject Area Agricultural Engineering & Farm Machinery
Event Agri Scientist Awards
ORCID 0000-0002-7614-3863

Xianying Feng, affiliated with Shandong University, has established a notable academic profile within the field of Agricultural Engineering and Farm Machinery. Through sustained scholarly contributions, publication activity, and citation performance, Feng has demonstrated engagement with research addressing agricultural mechanization, engineering innovation, and technological development. The Innovative Research Award recognizes researchers whose work contributes to scientific advancement, practical implementation, and academic excellence within their respective disciplines.[1]

Abstract

Xianying Feng’s academic record reflects sustained contributions to Agricultural Engineering and Farm Machinery research through peer-reviewed publications, interdisciplinary investigations, and applied engineering studies. With more than one hundred indexed documents and a measurable citation footprint, Feng’s work contributes to understanding agricultural technologies, machinery performance, operational efficiency, and sustainable farming systems. The Innovative Research Award acknowledges scholarly achievement, research productivity, and the broader influence of scientific outputs on academic and practical agricultural applications. The award evaluation considers publication quality, citation indicators, research relevance, and the capacity to advance technological innovation within agricultural engineering disciplines.[1][2]

Keywords

Agricultural Engineering, Farm Machinery, Mechanization, Precision Agriculture, Sustainable Farming, Research Innovation, Engineering Systems, Agricultural Technology.

Introduction

Agricultural engineering continues to play a critical role in enhancing productivity, sustainability, and operational effectiveness across modern farming systems. Researchers working within this field contribute to technological solutions that support efficient resource utilization and improved agricultural outcomes. The recognition of innovative research supports the advancement of scientific knowledge and encourages continued development of practical engineering applications within agriculture.[2]

Research Profile

Xianying Feng maintains an established scholarly profile characterized by indexed publications, citation activity, and ongoing engagement with agricultural engineering research. The author’s Scopus metrics indicate consistent academic participation and measurable research visibility. Such indicators provide evidence of sustained contributions to scientific literature and demonstrate scholarly influence within specialized research communities.[1]

Research Contributions

Research contributions attributed to Feng are associated with agricultural machinery systems, engineering optimization, mechanized operations, and technological innovation for agricultural production. These studies support broader objectives related to efficiency enhancement, performance evaluation, and sustainable agricultural practices. The integration of engineering methodologies with agricultural applications illustrates the interdisciplinary character of the research portfolio.[3]

Publications

The publication portfolio comprises more than one hundred indexed documents spanning agricultural engineering and related technological disciplines. The volume of publications, combined with citation activity, reflects continuing participation in scientific communication and dissemination. Publication records contribute substantially to the evaluation of research productivity and academic recognition.[1]

Research Impact

Research impact may be evaluated through citation metrics, scholarly engagement, and the practical relevance of scientific findings. Feng’s citation record demonstrates that published work has received attention within the academic community. Such indicators, while not the sole measure of quality, provide useful evidence regarding visibility, influence, and knowledge dissemination across research networks.[1][4]

Award Suitability

Based on available scholarly indicators, publication activity, citation performance, and disciplinary engagement, Xianying Feng demonstrates characteristics commonly associated with candidates considered for research recognition programs. The Innovative Research Award emphasizes originality, scientific contribution, academic influence, and professional commitment. Feng’s documented achievements align with several evaluation criteria generally employed in academic award assessments.[5]

Conclusion

Xianying Feng’s research profile reflects sustained scholarly productivity within Agricultural Engineering and Farm Machinery. Publication records, citation metrics, and research engagement indicate meaningful participation in advancing agricultural technologies and engineering applications. Recognition through the Innovative Research Award highlights the importance of continued innovation, scientific excellence, and knowledge generation within agricultural engineering and related interdisciplinary fields.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Xianying Feng, Author ID 7403046874. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7403046874
  2. Agriculture. (2026). Precision Fertilization of Maize Using Straight Grooved-Wheel Fertilizer Apparatus.
    https://doi.org/10.3390/agriculture16111217
  3. International Journal of Agricultural Engineering. (2026). A dynamically hybrid path planning and obstacle avoidance algorithm for mobile robots based on improved A-star and dynamic windows approach.
    https://doi.org/10.1016/j.rineng.2025.108924
  4. Xingchang Han, Xianying Feng, Yanfei Li, Yitian Sun and Qingsong Lei. (2026). Comparative Investigation on Flow Behavior and Energy Dissipation of a Novel Cylindrical Asteroid-Shaped Emitter and a Conventional Emitter.
    https://doi.org/10.3390/w18070868
  5. Agri Scientist Awards. (n.d.). Research excellence recognition and evaluation framework.
    https://agriscientist.org/

Xincheng Li | Agricultural Engineering | Best Researcher Award

Published on by Agri Scientist

Prof Xincheng Li |  Agricultural Engineering |  Best Researcher Award

Associate Professor at  College of Electrical and Mechanical Engineering，Qingdao Agricultural University, China

Xingcheng Li is a Research Assistant at the College of Electrical and Mechanical Engineering, Qingdao Agricultural University. His research focuses on agricultural information technology, sensor development, intelligent agricultural machinery control, and automation technology in livestock and poultry farming. He has published over 10 academic papers, secured 5 national invention patents, and led key research projects at both provincial and national levels. With experience in teaching and developing innovative solutions in agricultural engineering, Li contributes to advancing technological applications in agriculture.

 

Publication Profile

Academic and Professional Background:

Xingcheng Li is a Research Assistant at Qingdao Agricultural University, specializing in agricultural engineering and information technology. He has taught various courses at both undergraduate and graduate levels, including Principles and Applications of Sensors, Agricultural Sensing, and Operations Research. His primary research interests include agricultural information technology, sensor development, intelligent agricultural machinery control, and automation in livestock and poultry farming.

Research and Innovations:

Prof. Li has contributed significantly to the development of agricultural technologies. He has published over 10 research papers and secured 5 national invention patents. His ongoing research includes projects on livestock and poultry disease prevention, as well as participation in key national and provincial R&D programs. Notably, he has led the Shandong Province Agricultural Major Application Technology Innovation Project and the Natural Science Foundation of Shandong Province.

Research Areas:

  • Agricultural Engineering
  • Mechanical Engineering
  • Agricultural Machinery and Equipment Engineering
  • Agricultural Engineering and Information Technology

Publication Top Notes

  1. A seed-epidermis-feature-recognition-based lightweight peanut seed selection method for embedded systems
    Li, D., Huang, J., Li, X., Xu, P., Yun, Y.
    Measurement and Control (United Kingdom), 2024.
    This paper introduces a lightweight peanut seed selection method based on seed-epidermis feature recognition, suitable for embedded systems in agricultural automation.
  2. Optimization Design and Experiment of Automatic Leveling System for Orchard Operating Platform in Hilly and Mountainous Areas
    Shang, H., Li, X., Zhang, C., Hou, Y., Jia, M.
    INMATEH – Agricultural Engineering, 2024, 73(2), pp. 364–374.
    Focuses on optimizing the design and conducting experiments on an automatic leveling system for orchard platforms in challenging terrains.
  3. Domestic Conflicts and Trade Protectionism: Evidence from Tweets
    Kun, L., Xincheng, L., Ming, F.
    China Journal of Economics, 2022, 9(1), pp. 56–84.
    Analyzes the relationship between domestic conflicts and trade protectionism, based on Twitter data analysis.
  4. Grain Yield Data Collection and Service for Heterogeneous Platforms
    Zheng, L., Guo, X., Li, M., Chen, Y., Xiao, C.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(9), pp. 142–149.
    This work discusses systems for collecting and providing grain yield data across different agricultural platforms.
  5. Test and Optimization of Sampling Frequency for Yield Monitor System of Grain Combine Harvester
    Li, X., Li, M., Zheng, L., Wang, X., Sun, M.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2015, 46, pp. 74–78.
    Examines the optimization of sampling frequency for a grain yield monitor in combine harvesters.
  6. Modeling Algorithm for Yield Monitor System of Grain Combine Harvester
    Li, X., Sun, M., Li, M., Zhang, M., Wang, X.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(7), pp. 91–96.
    Proposes a modeling algorithm for improving the yield monitor system of grain combine harvesters.
  7. Development and Denoising Test of Grain Combine with Remote Yield Monitoring System
    Li, X., Li, M., Wang, X., Sun, M., Sun, H.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(2), pp. 1–8.
    This paper focuses on the development and testing of a grain combine equipped with a remote yield monitoring system.
  8. Structure Design and Signal Processing of a New Grain Flow Sensor
    Li, X., Li, M., Zheng, L., Yang, W., Sun, H.
    American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2014, pp. 4330–4336.
    Presents the design and signal processing methods for a new grain flow sensor.
  9. A Remote Monitoring System of Automatic Soil Sampler Based on ZigBee WSN
    Yang, W., Li, M., Zheng, L., Li, X., Zhang, M.
    American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2013, pp. 4023–4028.
    Describes a remote monitoring system for an automatic soil sampler based on ZigBee wireless sensor networks (WSN).
  10. A Remote Operating System of Grain Yield Monitor
    Li, X., Li, M., Zheng, L., Yang, W., Zhang, M.
    American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2013, pp. 4091–4096.
    Introduces a remote operating system for monitoring grain yield during harvesting.