D. Yung

25 papers receiving 528 citations

Peers

D. Yung
Comparison fields: 5 of 79
  • Safety, Risk, Reliability and Quality 207
  • Statistics, Probability and Uncertainty 69
  • Ocean Engineering 143
  • Computational Mechanics 137
  • Water Science and Technology 89
Replace Chi Keung Man with:
Chi Keung Man United Kingdom
Hui Zhu China
Mario D. Carelli United States
Inchul Kim South Korea
Thinh X. Ho Vietnam
Zhipeng Zhang China
D.T. Ingersoll United States
Louis A. Gritzo United States
Laltu Chandra India
Guoming Chen China
D. Yung relative to Chi Keung Man United Kingdom Chi Keung Man's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Yung

Since Specialization
Citations

This map shows the geographic impact of D. Yung'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 D. Yung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Yung more than expected).

Fields of papers citing papers by D. Yung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Yung. 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 D. Yung. The network helps show where D. Yung may publish in the future.

Co-authors

The 18 scholars most cited alongside D. Yung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Yung Line = papers co-authored together D. Yung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980111
2 197289
3 197955
4 200840
5 199233
6 197329
7
Principles of Fire Risk Assessment in Buildings
200929
8 197328
9 199727
10 198224
11 200217
12 199417
13 199215
14 199014
15 200512
16 199110
17 199510
18
A DESCRIPTION OF THE PROBABILISTIC AND DETERMINISTIC MODELLING USED IN FIRECAM
19999
19 20078
20 19948

About D. Yung

D. Yung is a scholar working on Safety, Risk, Reliability and Quality, Ocean Engineering, Environmental Engineering, Mechanical Engineering and Civil and Structural Engineering, having authored 26 papers that have together received 604 indexed citations. Recurring topics across this work include Fire dynamics and safety research (16 papers), Wind and Air Flow Studies (9 papers), Evacuation and Crowd Dynamics (9 papers), Heat Transfer and Boiling Studies (3 papers), Fire effects on concrete materials (2 papers), Fire effects on ecosystems (2 papers), Heat Transfer and Optimization (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Safety, Risk, Reliability and Quality (207 citations), Statistics, Probability and Uncertainty (69 citations), Ocean Engineering (143 citations), Computational Mechanics (137 citations) and Water Science and Technology (89 citations). D. Yung has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include J. J. Lorenz, Ronald F. Probstein, E. N. Ganić, Ain A. Sonin, George Hadjisophocleous, V. Beck, Guylène Proulx, Noureddine Bénichou, Robert A. Davis and Akihiko Hokugo. Their work appears in journals such as Journal of Heat Transfer, The Journal of Physical Chemistry, Fire Technology, Communications of the ACM and Desalination.

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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