Tang‐Tat Ng

1.8k citations
52 papers · 1.5k indexed · h-index 22

Tang‐Tat Ng

52 papers receiving 1.5k citations

Peers

Tang‐Tat Ng
Comparison fields: 5 of 68
  • Civil and Structural Engineering 1.1k
  • Management, Monitoring, Policy and Law 584
  • Computational Mechanics 734
  • Mechanics of Materials 330
  • Ocean Engineering 110
Replace Katalin Bagi with:
Katalin Bagi Hungary
J. Kozicki Poland
John M. Ting United States
Kazuyoshi IWASHITA Japan
Émilien Azéma France
Sacha Emam Australia
Junichi Konishi Japan
Wei‐Hai Yuan China
Tongming Qu China
Youjun Ning China
Tang‐Tat Ng relative to Katalin Bagi Hungary Katalin Bagi's profile →
Citations per field
00.5×1.5×
Katalin Bagi · 1×
Citations per year

Countries citing papers authored by Tang‐Tat Ng

Since Specialization
Citations

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

Fields of papers citing papers by Tang‐Tat Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tang‐Tat Ng. 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 Tang‐Tat Ng. The network helps show where Tang‐Tat Ng may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Tang‐Tat Ng, 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 Tang‐Tat Ng Line = papers co-authored together Tang‐Tat Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 20201
3 20191
4 20192
5 201945
6 201753
7 201743
8 201717
9 20171
10 201628
11 20159
12 20147
13 201412
14 201415
15 200911
16 20051
17
MRI Studies of Direct Shear Tests on Round Particles
19966
18 199622
19 1994115
20
Numerical Undrained Cyclic Loading Simulations Using the Discrete Element Method
19911

About Tang‐Tat Ng

Tang‐Tat Ng is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Computational Mechanics, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Geotechnical Engineering and Soil Mechanics (29 papers), Granular flow and fluidized beds (20 papers), Landslides and related hazards (19 papers), Geotechnical Engineering and Underground Structures (14 papers), Geotechnical Engineering and Soil Stabilization (7 papers), Geophysical Methods and Applications (6 papers), Rock Mechanics and Modeling (5 papers) and Structural Analysis and Optimization (4 papers). The work is most often cited by research in Civil and Structural Engineering (1.1k citations), Management, Monitoring, Policy and Law (584 citations) and Computational Mechanics (734 citations). Tang‐Tat Ng has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Xiaoshan Lin, Gang Ma, Wei Zhou, Xiaolin Chang, Ricardo Dobry, Wei Zhou, Xing Ma, Wei Wu, Changming Wang and Yonggang Cheng. Their work appears in journals such as Journal of Engineering Mechanics, Powder Technology, International Journal for Numerical and Analytical Methods in Geomechanics, Computers and Geotechnics and International Journal of Solids and Structures.

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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