Man Li

85 papers receiving 620 citations

Peers

Man Li
Comparison fields: 5 of 122
  • Transportation 77
  • Statistics, Probability and Uncertainty 60
  • Building and Construction 91
  • Safety, Risk, Reliability and Quality 57
  • Radiological and Ultrasound Technology 31
Replace Lu Gao with:
Lu Gao United States
Michel‐Alexandre Cardin Singapore
Glenn Baxter Thailand
Jasenka Rakas United States
William A. Young United States
Mansour Rahimi United States
Yicun Chen China
Amir Abbas Rassafi Iran
Jing Xin China
Man Li relative to Lu Gao United States Lu Gao's profile →
Citations per field
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Lu Gao · 1×
Citations per year

Countries citing papers authored by Man Li

Since Specialization
Citations

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

Fields of papers citing papers by Man Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202144
2 201344
3 202241
4 202232
5 200929
6 201526
7 202025
8 201624
9 202318
10 202217
11 201217
12 202015
13 201114
14 202213
15 200913
16 202213
17 201713
18 202112
19 202210
20 201210

About Man Li

Man Li is a scholar working on Transportation, Control and Systems Engineering, Building and Construction, Safety, Risk, Reliability and Quality and Sociology and Political Science, having authored 100 papers that have together received 647 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (14 papers), Traffic Prediction and Management Techniques (10 papers), Human Mobility and Location-Based Analysis (8 papers), Risk and Safety Analysis (7 papers), Occupational Health and Safety Research (6 papers), Product Development and Customization (4 papers), Evaluation Methods in Various Fields (4 papers) and Traffic and Road Safety (4 papers). The work is most often cited by research in Transportation (77 citations), Statistics, Probability and Uncertainty (60 citations), Building and Construction (91 citations), Safety, Risk, Reliability and Quality (57 citations) and Radiological and Ultrasound Technology (31 citations). Man Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Limin Jia, Yanhui Wang, Eric Friginal, Sara Cushing Weigle, Chao Ma, Libing Wu, Xiaochuan Shi, Dan Wu, Yu Zhu and Min Wang. Their work appears in journals such as Alexandria Engineering Journal, Electronics, IEEE Access, International Journal of Environmental Research and Public Health and Physica A Statistical Mechanics and its Applications.

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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