Ming‐Fang Chang

1.2k total citations
27 papers, 846 citations indexed

About

Ming‐Fang Chang is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming‐Fang Chang has authored 27 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 3 papers in Safety, Risk, Reliability and Quality and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming‐Fang Chang's work include Geotechnical Engineering and Soil Mechanics (19 papers), Geotechnical and construction materials studies (11 papers) and Geotechnical Engineering and Underground Structures (9 papers). Ming‐Fang Chang is often cited by papers focused on Geotechnical Engineering and Soil Mechanics (19 papers), Geotechnical and construction materials studies (11 papers) and Geotechnical Engineering and Underground Structures (9 papers). Ming‐Fang Chang collaborates with scholars based in Singapore, United States and Australia. Ming‐Fang Chang's co-authors include Laifa Cao, C. I. Teh, Hong‐Hu Zhu, Myint Win Bo, V. Choa, Cee Ing Teh, Jian Chu, Ing Hieng Wong, Arul Arulrajah and Bengt B. Broms and has published in prestigious journals such as Géotechnique, Journal of Geotechnical and Geoenvironmental Engineering and Canadian Geotechnical Journal.

In The Last Decade

Ming‐Fang Chang

27 papers receiving 791 citations

Peers

Ming‐Fang Chang
Comparison fields: 5 of 48
  • Civil and Structural Engineering 781
  • Safety, Risk, Reliability and Quality 236
  • Mechanics of Materials 70
  • Management, Monitoring, Policy and Law 44
  • Ocean Engineering 43
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Citations per field, relative to Ming‐Fang Chang
Ming‐Fang Chang · 1×
Citations per year, relative to Ming‐Fang Chang
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Countries citing papers authored by Ming‐Fang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Fang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Fang 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 Ming‐Fang Chang. The network helps show where Ming‐Fang Chang may publish in the future.

Co-authorship network of co-authors of Ming‐Fang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Fang Chang. A scholar is included among the top collaborators of Ming‐Fang 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 Ming‐Fang Chang. Ming‐Fang 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
# Work Indexed citations
1 3
2 2
3 7
4 21
5 73
6 2
7 102
8 2
9 55
10 12
11 31
12 20
13 174
14 39
15 3
16 42
17 16
18 22
19 23
20
STATIC AND SEISMIC LATERAL EARTH PRESSURES ON RIGID RETAINING STRUCTURES
14

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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