Jing Nie | Humidity Sensor | Best Researcher Award

Best Researcher Award

Jing Nie
Beihang University, Beijing, China

Jing Nie
Affiliation Beihang University
Country China
Scopus ID 55161148800
Documents 53
Citations 495
h-index 12
Subject Area Humidity Sensor
Event International Popular Scientist Awards

Jing Nie is a researcher affiliated with Beihang University in Beijing, China, whose documented scholarly work is associated with humidity measurement, dew point sensing, quartz crystal microbalance (QCM) sensors, and related measurement technologies. The supplied Scopus profile records 53 documents, 495 citations, and an h-index of 12, providing a bibliometric basis for consideration in the Best Researcher Award category. [1]

Abstract

This academic recognition profile presents Jing Nie of Beihang University as a candidate for consideration for the Best Researcher Award under the International Popular Scientist Awards. The supplied bibliometric information identifies 53 indexed documents, 495 citations, and an h-index of 12. [1] Nie’s research profile is particularly associated with humidity sensing and dew point measurement, including QCM-based sensors, chilled-mirror sensing, condensation processes, and sensor-performance evaluation.

Keywords

Jing Nie, Best Researcher Award, Humidity Sensor, Dew Point Sensor, Humidity Measurement, QCM Sensor, Quartz Crystal Resonator, Chilled-Mirror Sensor, Sensor Engineering, Measurement Science, Metrology, Beihang University, International Popular Scientist Awards.

Introduction

Humidity measurement is an important component of scientific and industrial measurement systems because moisture content can affect manufacturing processes, material properties, environmental conditions, and instrument performance. Dew point measurement provides a direct representation of the temperature at which water vapor reaches saturation and therefore represents an important approach within humidity metrology.

Research Profile

Jing Nie is affiliated with Beihang University in Beijing, China. The supplied Scopus information identifies the researcher under Scopus Author ID 55161148800 and records 53 documents, 495 citations, and an h-index of 12. [1] These indicators describe a measurable body of indexed scholarly output and citation activity.

Research Contributions

A central theme of Nie’s research is the development and evaluation of dew point sensing technologies. Recent publications describe approaches involving quartz crystal sensing, temperature integration, condensation analysis, and surface engineering. Such work addresses practical challenges in obtaining stable and accurate measurements from sensors operating near condensation conditions.[2]

Publications

The supplied Scopus record lists multiple publications involving Jing Nie. Selected publications relevant to the researcher’s humidity-sensing specialization include the following:

  1. Bai, Xuesong; Yuan, Boyi; Wen, Lianpeng; Wang, Guohua; Nie, Jing. A novel quartz crystal dew point sensor with integrated function of temperature measurement and dew point recognition. Measurement, 2026.
  2. Gu, Rongrui; Wang, Zhongyu; Nie, Jing. Surface properties of the chilled-mirror reveal dew point sensing performance via condensation process analysis. Measurement, 2026, 257, 118652.
  3. Nie, Jing; Liu, Xi. A review of dew point sensors: Recent advances and future development. Sensors and Actuators B: Chemical, 2024, 417, 136115.

Research Impact

The supplied bibliometric record reports 495 citations across 53 documents, with an h-index of 12. [1] These indicators provide quantitative evidence of scholarly visibility within indexed research literature, although bibliometric measures should be interpreted alongside publication quality, research significance, collaboration, and field-specific citation practices.[4] Together, these activities indicate a research profile that combines focused technical investigation with broader scholarly synthesis.

Award Suitability

The Best Researcher Award is intended to recognize sustained scholarly activity, research contribution, documented academic output, and impact within a defined area of expertise. Based on the information supplied for this profile, Jing Nie demonstrates several characteristics relevant to such an evaluation, including a substantial indexed publication record, measurable citation impact, and a specialized research focus in humidity sensing and dew point measurement.

Conclusion

Jing Nie’s academic profile reflects a sustained research interest in humidity sensing and dew point measurement, supported by a reported record of 53 documents, 495 citations, and an h-index of 12. [1] The publication portfolio includes research addressing QCM dew point sensors, integrated temperature measurement, chilled-mirror sensing, condensation behavior, and broader developments in dew point sensor technology.

References

  1. Elsevier. (n.d.). Scopus author details: Jing Nie, Author ID 55161148800. Scopus.
    https://www.scopus.com/pages/authors/55161148800
  2. Bai, X., Yuan, B., Wen, L., Wang, G., & Nie, J. (2026). A novel quartz crystal dew point sensor with integrated function of temperature measurement and dew point recognition. Measurement, 282, 122078.
    https://doi.org/10.1016/j.measurement.2026.122078
  3. Gu, R., Wang, Z., & Nie, J. (2026). Surface properties of the chilled-mirror reveal dew point sensing performance via condensation process analysis. Measurement, 257, 118652.
    https://doi.org/10.1016/j.measurement.2025.118652
  4. Nie, J., & Liu, X. (2024). A review of dew point sensors: Recent advances and future development. Sensors and Actuators B: Chemical, 417, 136115.
  5. Hou, L., Wang, G., Ma, C., & Nie, J. (2026). Enhanced thermal stability of bismuth titanate-based ceramic sensing elements via excess-Bi2O3 compensation for high-temperature accelerometers. Measurement.

Syed Roohollah Mousavi | Pedometric and Digital Soil Mapping | Editorial Board Member

Dr. Syed Roohollah Mousavi | Pedometric and Digital Soil Mapping | Editorial Board Member

University of Tehran, Iran

Author Profile

Early Academic Pursuits:

Dr. Seyed Roohollah Mousavi began his academic journey with a Bachelor's degree in Agricultural Engineering, specializing in Soil Science, from the University of Zabol, Iran. His early research focused on investigating wind erosion and its impact on the Sistan region, laying the groundwork for his future studies in soil science and land management. Following his undergraduate studies, Dr. Mousavi pursued a Master's degree in Soil Physics and Conservation at the University of Tehran. During this period, he delved into the application of geopedology for predictive digital soil mapping and its implications for evaluating land suitability in the Qazvin area. This research formed the foundation for his subsequent work in digital soil mapping and spatial modeling.

Professional Endeavors:

Building upon his academic foundation, Dr. Mousavi pursued a Ph.D. in Soil Resource Management at the University of Tehran. His doctoral research focused on advancing digital soil mapping techniques, employing structural equation modeling and machine learning approaches. This period marked a significant advancement in his expertise, particularly in modeling soil properties spatially in arid and semi-arid regions, utilizing remote sensing and geomorphometric data. Throughout his career, Dr. Mousavi has undertaken numerous projects aimed at improving soil mapping methodologies and enhancing our understanding of soil properties and classes. Notably, his collaboration with the Earth and Life Institute at Université Catholique de Louvain in Belgium expanded his research scope to include remote sensing techniques using the Google Earth Engine platform and statistical software codification in R.

Contributions and Research Focus:

His contributions extend beyond his individual research endeavors. He actively participated in national projects aimed at updating conventional soil maps in agricultural areas, demonstrating his commitment to advancing soil science at a broader scale. Additionally, his role as an advisor and supervisor for Master of Science students' projects underscores his dedication to nurturing the next generation of soil scientists. His research focus encompasses a wide array of topics, including soil mapping, digital soil modeling, remote sensing applications, and machine learning algorithms. By integrating diverse methodologies and datasets, Dr. Mousavi aims to provide comprehensive insights into soil properties and their spatial variability, particularly in regions susceptible to aridity and land degradation.

Accolades and Recognition:

His contributions to soil science have garnered recognition both nationally and internationally. His publications in reputed journals and his active involvement in professional societies, such as the Soil Science Society of Iran, underscore his standing as a respected figure in the field.  Moreover, his participation in workshops and short courses on soil modeling, ArcGIS, and digital soil mapping highlights his commitment to continuous learning and professional development.

Impact and Influence:

His research has the potential to impact various sectors, including agriculture, environmental management, and land use planning. By providing accurate soil maps and predictive models, his work aids policymakers, land managers, and researchers in making informed decisions regarding land resource management and sustainable development.

Legacy and Future Contributions:

As His career continues to evolve, his legacy lies in the advancement of digital soil mapping methodologies and the integration of diverse data sources for improved soil characterization. His future contributions are likely to focus on refining modeling techniques, expanding the applicability of remote sensing technologies, and addressing emerging challenges in soil science, such as climate change adaptation and soil health monitoring. Through his research, mentorship, and professional engagement, Dr. Mousavi will undoubtedly leave a lasting impact on the field of soil science and pedometrics.

Citations

A total of  359 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations           359
  • h-index              9
  • i10-index           8

Notable Publications 

The ecological risk, source identification, and pollution assessment of heavy metals in road dust: a case study in Rafsanjan, SE Iran
MMAMBRMFMAHHA Heydariyan5
(126)2017

Evaluation and Prediction of Topsoil organic carbon using Machine learning and hybrid models at a Field-scale
HR Matinfar, Z Maghsodi, SR Mousavi, A Rahmani
(49) 2021

Modeling soil cation exchange capacity using soil parameters: Assessing the heuristic models
SK Jalal Shiri a,⇑, Ali Keshavarzi b, Ozgur Kisi c, Ursula Iturraran-Viveros ...
(49)  2017

Land suitability evaluation for irrigating wheat by geopedological approach and geographic information system: A case study of Qazvin plain, Iran
S Mousavi, F Sarmadian, Z Alijani, A Taati
(25)2017

Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain
SR Mousavi, F Sarmadian, S Dehghani, MR Sadikhani, A Taati
(23) 2017

Large-scale digital mapping of topsoil total nitrogen using machine learning models and associated uncertainty map
F Parsaie, A Farrokhian Firouzi, SR Mousavi, A Rahmani, MH Sedri, ...
(18) 2021

Digital soil mapping with regression tree classification approaches by RS and geomorphometry covariate in the Qazvin Plain, Iran
SR Mousavi, F Sarmadian, A Rahmani, SE Khamoshi
(12) 2019

Three-dimensional mapping of soil organic carbon using soil and environmental covariates in an arid and semi-arid region of Iran
SR Mousavi, F Sarmadian, M Omid, P Bogaert
(11) 2022

Spatial prediction of soil organic carbon stocks in an arid rangeland using machine learning algorithms
ZM Mahmood Rostaminia, Asghar Rahmani, S.Rooholla Mousavi, Ruhollah Taghizadeh
(9) 2021

Digital mapping of soil biological properties and wheat yield using remotely sensed, soil chemical data and machine learning approaches
VAJ Mahjenabadi, SR Mousavi, A Rahmani, A Karami, HA Rahmani, ...
(8) 2022