Te Xiao

2.3k citations
58 papers · 1.8k · h-index 24

Impact in

Papers in

Te Xiao

54 papers receiving 1.8k citations

Peers

Te Xiao
Comparison fields: 5 of 70
  • Safety, Risk, Reliability and Quality 880
  • Management, Monitoring, Policy and Law 860
  • Civil and Structural Engineering 1.1k
  • Statistics, Probability and Uncertainty 124
  • Atmospheric Science 258
Replace Ben Leshchinsky with:
Ben Leshchinsky United States
Tien H. Wu United States
Yat Fai Leung Hong Kong
Wenpei Wang China
Franck Bourrier France
Suzanne Lacasse Norway
Stavroula Fotopoulou Greece
Robin Chowdhury Australia
Michele Calvello Italy
Da Huang China
Te Xiao relative to Ben Leshchinsky United States Ben Leshchinsky's profile →
Citations per field
00.5×11.3×
Ben Leshchinsky · 1×
Citations per year

Countries citing papers authored by Te Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Te Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Te Xiao, 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 Te Xiao Line = papers co-authored together Te Xiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015212
2 2019150
3 2016120
4 2020115
5 201590
6 201887
7 201871
8 201664
9 201763
10 201661
11 202157
12 202256
13 201855
14 202350
15 201949
16 202148
17 202237
18 202234
19 202333
20 202129

About Te Xiao

Te Xiao is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality, Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Geotechnical Engineering and Analysis (31 papers), Landslides and related hazards (25 papers), Flood Risk Assessment and Management (12 papers), Dam Engineering and Safety (12 papers), Soil and Unsaturated Flow (10 papers), Geotechnical Engineering and Soil Stabilization (7 papers), Geotechnical Engineering and Underground Structures (6 papers) and Cryospheric studies and observations (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (880 citations), Management, Monitoring, Policy and Law (860 citations), Civil and Structural Engineering (1.1k citations), Statistics, Probability and Uncertainty (124 citations) and Atmospheric Science (258 citations). Te Xiao has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Limin Zhang, Dianqing Li, Zi-Jun Cao, Jian He, Chen Chen, Chuangbing Zhou, Hong Zhu, Kok‐Kwang Phoon, Haojie Wang and Dian-Qing Li. Their work appears in journals such as Engineering Geology, Computers and Geotechnics, Georisk Assessment and Management of Risk for Engineered Systems and Geohazards, Journal of Hydrology and Journal of Geotechnical and Geoenvironmental Engineering.

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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