Innovative Research Award
Yingjie Chang — Chang’an University, China
| Yingjie Chang | |
|---|---|
| Affiliation | Chang’an University |
| Country | China |
| Scopus ID | 57211653957 |
| Documents | 25 |
| Citations | 274 |
| h-index | 10 |
| Subject Area | Fluid Dynamics |
| Event | Cryogenicist Global Awards |
| ORCID | 0000-0003-3332-6034 |
Yingjie Chang is a researcher whose documented academic profile centers on fluid dynamics, multiphase flow, heat transfer, and related engineering systems. The ORCID record identifies doctoral education in the State Key Laboratory of Multiphase Flow in Power Engineering. [1]
Contents
Abstract
Chang’s documented research includes experimental and modeling studies of gas–liquid two-phase flows, pipeline-riser systems, flow-pattern identification, severe slugging, and heat-transfer phenomena. His ORCID record also documents peer-review and editorial activities, providing evidence of continuing scholarly engagement. [2]
Keywords
Fluid Dynamics; Multiphase Flow; Gas–Liquid Flow; Pipeline-Riser Systems; Severe Slugging; Heat Transfer; Flow Regimes; Experimental Fluid Mechanics; Computational Modeling; Engineering Thermophysics.
Introduction
The research profile presents a sustained focus on complex flow behavior in engineering systems, particularly where gas and liquid phases interact under varying pressure and geometric conditions. Published studies address both experimental characterization and predictive approaches to multiphase transport. [3]
Research Profile
The available record places Chang within fluid dynamics and energy-related engineering research. His education includes doctoral work at Xi’an Jiaotong University and joint doctoral study at Otto-von-Guericke University Magdeburg, while his professional record includes Chang’an University and editorial service for Scientific Reports. [1]
Research Contributions
Representative work examines severe slugging, gas–liquid flow transitions, void-fraction prediction, stratified flow, hydraulic jumps, and condensation. Recent publications additionally address flow cutoff characteristics, heat-exchanger optimization, and nonlinear multiphysics modeling of ice accretion. [4]
Publications
Yingjie Chang’s publication record demonstrates a sustained research focus on fluid dynamics, gas–liquid multiphase flow, pipeline-riser systems, and related transport phenomena. His documented works include studies of severe slugging, flow-pattern identification, void-fraction prediction, and high-pressure multiphase systems. [3]
Research Impact
The supplied researcher information reports 25 documents, 274 citations, and an h-index of 10. The ORCID record independently lists 21 works and identifies Scopus as a source for several records, while documented review activity covers multiple engineering journals. [5]
Award Suitability
For the Innovative Research Award associated with the Cryogenicist Global Awards, Chang’s documented strengths include fluid-dynamics research, multiphase-flow experimentation, predictive modeling, and engineering heat-transfer studies. These areas provide a substantive research basis for consideration within a technically focused recognition framework. [1]
Conclusion
Yingjie Chang’s documented academic record reflects research activity concentrated on fluid dynamics and multiphase engineering phenomena, supported by peer-reviewed publications and scholarly service. The available evidence establishes a profile relevant to an innovation-oriented research recognition. [2]
External Links
References
- ORCID. (n.d.). Yingjie Chang, ORCID iD 0000-0003-3332-6034.
https://orcid.org/0000-0003-3332-6034 - Elsevier. (n.d.). Scopus author details: Yingjie Chang, Author ID 57211653957. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57211653957 - Chang, Y., et al. (2026). Flow cutoff characteristics of gas–liquid two-phase flow in the pipeline–riser system. Physics of Fluids. .
https://doi.org/10.1063/5.0336349 - Yang, X., et al. (2026). Research on Adjoint Shape Optimization of Shell-And-Tube Heat Exchangers in Petroleum Transportation Systems. Processes.
https://doi.org/10.3390/pr14040647 - Chang, Y., et al. (2024). Hydrodynamics and shape reconstruction of single rising air bubbles in water using high-speed tomographic particle tracking velocimetry and 3D geometric reconstruction. Experiments in Fluids.
https://doi.org/10.1007/s00348-023-03746-0