Xiaoli Lu

25 papers receiving 451 citations

Peers

Xiaoli Lu
Comparison fields: 5 of 98
  • Emergency Medical Services 66
  • Public Administration 36
  • Communication 39
  • Sociology and Political Science 241
  • Modeling and Simulation 17
Replace Ibrahim Mohamed Shaluf with:
Ibrahim Mohamed Shaluf Malaysia
Bandana Kar United States
Henrik Tehler Sweden
Erik Auf der Heide United States
Marjorie Greene United States
Mihoko Sakurai Japan
Raj Prasanna New Zealand
Jonathan A. McElderry United States
Katsuya Yamori Japan
Joanne Stevenson New Zealand
Xiaoli Lu relative to Ibrahim Mohamed Shaluf Malaysia Ibrahim Mohamed Shaluf's profile →
Citations per field
00.5×5.1×
Ibrahim Mohamed Shaluf · 1×
Citations per year

Countries citing papers authored by Xiaoli Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Xiaoli Lu, 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 Xiaoli Lu Line = papers co-authored together Xiaoli Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016123
2 201670
3 202042
4 202231
5 201831
6 201728
7 201923
8 201916
9 202112
10 201411
11 201710
12 20049
13 20179
14 20108
15 20237
16 20207
17 20006
18 20095
19 20034
20 20043

About Xiaoli Lu

Xiaoli Lu is a scholar working on Sociology and Political Science, Artificial Intelligence, Oceanography, Management Science and Operations Research and Aerospace Engineering, having authored 28 papers that have together received 461 indexed citations. Recurring topics across this work include Disaster Management and Resilience (8 papers), Metaheuristic Optimization Algorithms Research (5 papers), Disaster Response and Management (4 papers), Radar Systems and Signal Processing (4 papers), Public Policy and Administration Research (3 papers), Underwater Acoustics Research (3 papers), Safety and Risk Management (2 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Emergency Medical Services (66 citations), Public Administration (36 citations), Communication (39 citations), Sociology and Political Science (241 citations) and Modeling and Simulation (17 citations). Xiaoli Lu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ziqiang Han, Lan Xue, Jubo Yan, Weijie Wang, R.L. Kirlin, A.M. Ponsford, Bing Zhou, Bing Xue, Zhenmin Ding and Jian Wang. Their work appears in journals such as Natural Hazards, Engineering Applications of Artificial Intelligence, Canadian Journal of Plant Pathology, Disasters and Swarm and Evolutionary Computation.

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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