Keh‐Chin Chang

2.4k citations
162 papers · 1.8k indexed · h-index 24

Keh‐Chin Chang

155 papers receiving 1.7k citations

Peers

Keh‐Chin Chang
Comparison fields: 5 of 114
  • Computational Mechanics 808
  • Renewable Energy, Sustainability and the Environment 395
  • Aerospace Engineering 385
  • Mechanical Engineering 318
  • Artificial Intelligence 296
Replace Norberto Fueyo with:
Norberto Fueyo Spain
Beşi̇r Şahi̇n Türkiye
J.G. McGowan United States
Can Huang China
R. Lanzafame Italy
Marcin Sosnowski Poland
Ke Sun China
Mehmet Bilgili Türkiye
Paweł Ocłoń Poland
James F. Manwell United States
Keh‐Chin Chang relative to Norberto Fueyo Spain Norberto Fueyo's profile →
Citations per field
00.5×1.5×1.8×
Norberto Fueyo · 1×
Citations per year

Countries citing papers authored by Keh‐Chin Chang

Since Specialization
Citations

This map shows the geographic impact of Keh‐Chin Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keh‐Chin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keh‐Chin Chang more than expected).

Fields of papers citing papers by Keh‐Chin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keh‐Chin Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keh‐Chin Chang. The network helps show where Keh‐Chin Chang may publish in the future.

Co-authorship network of co-authors of Keh‐Chin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Keh‐Chin Chang. A scholar is included among the top collaborators of Keh‐Chin Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keh‐Chin Chang. Keh‐Chin Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 3
4 2
5 1
6 7
7
An application of data fusion techniques in quantitative operational risk management
6
8
Market analysis and trading strategies with Bayesian networks
2
9 7
10 2
11 40
12 2
13
Modeling a probabilistic ontology for Maritime Domain Awareness
27
14
A performance evaluation tool for multi-sensor classification systems
8
15 38
16 7
17
Eulerian-Lagrangian Simulation of Gas-Particle Flows
1
18
Revisiting numerical issues of stochastic Eulerian-Lagrangian models
1
19 0
20 7

About Keh‐Chin Chang

Keh‐Chin Chang is a scholar working on Computational Mechanics, Environmental Engineering and Renewable Energy, Sustainability and the Environment, having authored 162 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (52 papers), Solar Thermal and Photovoltaic Systems (34 papers) and Wind and Air Flow Studies (33 papers). The work is most often cited by research in Computational Mechanics (808 citations), Renewable Energy, Sustainability and the Environment (395 citations) and Environmental Engineering (292 citations). Keh‐Chin Chang has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Tuncer Cebeci, Kung-Ming Chung, K. Stewartson, Kathryn Blackmond Laskey, A.M. Wolsky, Paulo Costa, Edward Halawa, Wenjing Wu, Rommel N. Carvalho and J. H. Whitelaw. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Journal of Fluid Mechanics and Energy Policy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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