Wei Lo

41 papers receiving 698 citations

Peers

Wei Lo
Comparison fields: 5 of 92
  • General Decision Sciences 46
  • Safety Research 126
  • Geophysics 197
  • Geology 73
  • Management Science and Operations Research 148
Replace John H. Williams with:
John H. Williams United States
Deming Zhou China
Hsiao‐Chi Chen Taiwan
J. Paul Gibson Ireland
Yusuf Sermet United States
Ajai K. Singh United States
Daniel P. Hampson China
Jingjiang Liu China
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Wei Lo relative to John H. Williams United States John H. Williams's profile →
Citations per field
00.5×10×20×31.5×
John H. Williams · 1×
Citations per year

Countries citing papers authored by Wei Lo

Since Specialization
Citations

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

Fields of papers citing papers by Wei Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999168
2 202289
3 200686
4 201564
5 200927
6 199623
7 199821
8 201118
9 202417
10 201017
11 201317
12 199916
13
Gaming Against Managers in Incentive Systems: Experimental Results with Chinese Students and Chinese Managers
199913
14 202111
15 202010
16 202210
17 201010
18 20219
19 20229
20 20108

About Wei Lo

Wei Lo is a scholar working on Geophysics, Strategy and Management, Management Science and Operations Research, Civil and Structural Engineering and Geology, having authored 44 papers that have together received 726 indexed citations. Recurring topics across this work include earthquake and tectonic studies (10 papers), Geological and Geochemical Analysis (9 papers), Geological and Geophysical Studies (5 papers), Construction Project Management and Performance (4 papers), Public-Private Partnership Projects (4 papers), High-pressure geophysics and materials (4 papers), Seismic Waves and Analysis (3 papers) and Landslides and related hazards (3 papers). The work is most often cited by research in General Decision Sciences (46 citations), Safety Research (126 citations), Geophysics (197 citations), Geology (73 citations) and Management Science and Operations Research (148 citations). Wei Lo has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include David J. Cooper, John H. Kagel, Hsueh-Yu Lu, Min-Ren Yan, Raymond J. Krizek, Ahmad Hadavi, Yuan‐Hsi Lee, Ahmad Almadhor, Gulshan Kumar and Kutub Thakur. Their work appears in journals such as Terrestrial Atmospheric and Oceanic Sciences, Geothermics, Journal of Construction Engineering and Management, Earth and Planetary Science Letters and Bulletin of Engineering Geology and the Environment.

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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