Stephen Law

9.6k citations
265 papers · 7.7k · 1 hit paper · h-index 48

Impact in

Papers in

Stephen Law

247 papers receiving 7.2k citations

Stephen Law's Hit Papers

Seasonal Arctic sea ice forecasting with probabilistic deep learning 2021 · 166 citations
1660+1+3Years since publication50100150

Peers

Stephen Law
Comparison fields: 5 of 158
  • Civil and Structural Engineering 6.1k
  • Statistics, Probability and Uncertainty 843
  • Mechanics of Materials 2.6k
  • Mechanical Engineering 2.2k
  • General Engineering 42
Replace Jun Li with:
Jun Li China
Yi‐Qing Ni Hong Kong
Ka‐Veng Yuen Macao
Eleni Chatzi Switzerland
B. F. Spencer United States
Jerome P. Lynch United States
Oral Büyüköztürk United States
Onur Avcı United States
Jinsong Huang Australia
Khalid M. Mosalam United States
Stephen Law relative to Jun Li China Jun Li's profile →
Citations per field
00.5×3.2×
Jun Li · 1×
Citations per year

Countries citing papers authored by Stephen Law

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 265 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998315
2 2000277
3 2005211
4 2000173
5 2007170
6
Seasonal Arctic sea ice forecasting with probabilistic deep learning
Hit paper breakdown →
2021166
7 2000141
8 2015140
9 2003133
10 2019129
11 2006126
12 2004124
13 2012121
14 2010112
15 2005111
16 2004108
17 2010104
18 2001103
19 2007103
20 2004102

About Stephen Law

Stephen Law is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Mechanical Engineering, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 265 papers that have together received 7.7k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (146 papers), Ultrasonics and Acoustic Wave Propagation (67 papers), Structural Engineering and Vibration Analysis (41 papers), Probabilistic and Robust Engineering Design (34 papers), Railway Engineering and Dynamics (21 papers), Non-Destructive Testing Techniques (20 papers), Vibration and Dynamic Analysis (18 papers) and Infrastructure Maintenance and Monitoring (17 papers). The work is most often cited by research in Civil and Structural Engineering (6.1k citations), Statistics, Probability and Uncertainty (843 citations), Mechanics of Materials (2.6k citations), Mechanical Engineering (2.2k citations) and General Engineering (42 citations). Stephen Law has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Xinqun Zhu, Zhiyu Shi, Lu Zhang, Zhong-Rong Lu, Jun Li, Di Wu, Shaoqing Wu, J.Q. Bu, Siu‐Lai Chan and Tommy H.T. Chan. Their work appears in journals such as Journal of Sound and Vibration, Mechanical Systems and Signal Processing, Journal of Engineering Mechanics, Engineering Structures and Journal of Applied Mechanics.

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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