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Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

邮发代号 80-968

2019 Impact Factor: 1.68

Frontiers of Structural and Civil Engineering  2023, Vol. 17 Issue (1): 1-9   https://doi.org/10.1007/s11709-022-0929-7
  本期目录
Do civil engineering fronts emerge from interdisciplinary research?
Jie HE1,2, Junlan YAO3,4(), Xin CHEN4, Fang LIU1,2, Hehua ZHU1,2
1. College of Civil Engineering, Tongji University, Shanghai 200092, China
2. State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
3. School of Economics and Management, Tongji University, Shanghai 200092, China
4. Library, Tongji University, Shanghai 200092, China
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Abstract

Interdisciplinary research is considered a source of innovativeness and creativity, serving as a key mechanism for creating recombination necessary for the evolution of science systems. The aim of this study is to quantitatively establish the connection between interdisciplinary research and the research fronts that have recently emerged in civil engineering. The degree of interdisciplinarity of the research fronts was measured by developing metrics from bibliographic analyses. As indicated by the consistent increase in the metrics of interdisciplinarity over time, research fronts tend to emerge in studies with increasing diversity in the disciplines involved. The active disciplines involved in the fronts vary over time. The most active disciplines are no longer fundamental but those associated with energy, environment, and sustainable development, focusing on solutions to climate change and integrating intelligence technologies.

Key wordsinterdisciplinary research    research front    bibliographic analysis
收稿日期: 2022-09-05      出版日期: 2023-03-02
Corresponding Author(s): Junlan YAO   
作者简介:

Qingyong Zheng and Ya Gao contributed equally to this work.

 引用本文:   
. [J]. Frontiers of Structural and Civil Engineering, 2023, 17(1): 1-9.
Jie HE, Junlan YAO, Xin CHEN, Fang LIU, Hehua ZHU. Do civil engineering fronts emerge from interdisciplinary research?. Front. Struct. Civ. Eng., 2023, 17(1): 1-9.
 链接本文:  
https://academic.hep.com.cn/fsce/CN/10.1007/s11709-022-0929-7
https://academic.hep.com.cn/fsce/CN/Y2023/V17/I1/1
No.research frontyearcore papercitation
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4Built environment and occupant behavior2017343558
5Removal of heavy metals and other high-risk pollutants2017293895
6Reliability of civil engineering structures2017424685
7Material biological remodeling2017343281
8Mixed-pixel decomposition and spatiotemporal location big-data analysis20179512900
9Structural defect analysis2017301103
10Numerical simulation of fluid–structure interaction2017897900
11Lifecycle reliability of civil engineering structures and systems201821512709
12Ultrahigh-performance and smart cement-based composite materials2018648786
13Highway pavement renewable materials and pavement material rejuvenation2018271643
14Green vernacular architecture201831426136
15Artificial-intelligence-based architectural design methodology201810711303
16Intelligent control systems for building environment2018313809
17Migration and transformation mechanisms of microplastics in wastewater treatment201873513
18Fusion and processing of multilevel space-air-ground remote-sensing data201814124019
19Dynamic fusion of geographical spatiotemporal big data for smart cities2018527267
20Lifecycle safety of water-related engineering2018492495
21Mechanism and control of long-term performance evolution of structures2019724614
22Green building design method based on whole life cycle2019332965
23Nanomodification and fiber-reinforcement of cement-based materials2019755635
24Urban design and planning for reducing urban heat island effect201915417538
25Large-span bridge operational smart monitoring and inspection20191025070
26Lifecycle deformation prediction and control for urban and undersea tunnels20191136736
27Seismic analysis and safety evaluation of high dams under extreme earthquakes201932244
28Spatial-temporal fusion of multisource satellite remote-sensing images based on deep learning2019406157
29Refined prediction and rapid damage assessment of river basin floods2019363709
30Traffic-flow-modeling theory and methods for intelligent and connected vehicle (ICV) and humandriven vehicle (HDV) mixed traffic201918612498
31Smart city and smart basin integrated sensing based on geo-spatiotemporal big data2020361857
32Coupling response mechanisms of offshore engineering structures and seabed foundation systems under the actions of wind, waves, currents, and earthquakes2020402110
33Urban spatial analysis and optimization methods based on big data2020584891
34Ventilation theory for adaptive thermal comfort and indoor air quality202054429917
35Multiscale prediction of dynamic hazard evolution for underground engineering2020934409
36Nanoengineered concrete materials in civil engineering2020747700
37Urban planning and design to reduce urban heat island effect202018815366
38Performance evolution and durability design principles for materials and structures on highways and for track engineering2020563010
39Formation mechanisms and changing trends of extreme hydrologic events202023816753
40Catastrophic effects of deep energy exploitation and regulation of its mechanical behavior20201056509
41Ecoenvironmental effects of interbasin water transfer2021261213
42Resilience improvement of transportation infrastructure202129937
43Low-carbon long-life cement-based materials20218412655
44Development path of green building under background of carbon neutrality20211357601
45Water pollution control and remediation in drinking-water source areas2021462271
46Perception methods of spatiotemporal big data toward smart sustainable cities2021221472
47Earthquake-resilient structural systems2021242034
48Flow-induced vibration of flexible structures and antivibration measures202122801
49Geographic big-data knowledge graph construction202115628
50Disaster monitoring and mechanism analysis of bridge structure dynamic multiload coupled action2021712309
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