Long Sun

33 papers receiving 224 citations

Peers

Long Sun
Comparison fields: 5 of 45
  • Safety, Risk, Reliability and Quality 133
  • Transportation 39
  • Social Psychology 88
  • Physical Therapy, Sports Therapy and Rehabilitation 18
  • Energy Engineering and Power Technology 9
Replace Linda Cosgrove with:
Linda Cosgrove United States
Prasannah Prabhakharan Australia
Mark G Solomon United States
Arianna Bichicchi Italy
Gautam Divekar United States
Elizabeth Crundall United Kingdom
Anabela Simões Portugal
Yutao Ba China
Julie Paxion France
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Long Sun relative to Linda Cosgrove United States Linda Cosgrove's profile →
Citations per field
00.5×10×20×28.5×
Linda Cosgrove · 1×
Citations per year

Countries citing papers authored by Long Sun

Since Specialization
Citations

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

Fields of papers citing papers by Long Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201937
2 202219
3 201918
4 202116
5 202214
6 201913
7 202011
8 202310
9 20218
10 20238
11 20248
12 20237
13 20217
14
Observability analysis of GPS/SINS ultra-tightly coupled system
20136
15 20216
16 20234
17 20244
18 20234
19 20224
20 20243

About Long Sun

Long Sun is a scholar working on Safety, Risk, Reliability and Quality, Social Psychology, Transportation, Control and Systems Engineering and Experimental and Cognitive Psychology, having authored 37 papers that have together received 226 indexed citations. Recurring topics across this work include Traffic and Road Safety (22 papers), Human-Automation Interaction and Safety (13 papers), Urban Transport and Accessibility (8 papers), Safety Warnings and Signage (6 papers), Sleep and Work-Related Fatigue (4 papers), Injury Epidemiology and Prevention (3 papers), Behavioral Health and Interventions (2 papers) and Microgrid Control and Optimization (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (133 citations), Transportation (39 citations), Social Psychology (88 citations), Physical Therapy, Sports Therapy and Rehabilitation (18 citations) and Energy Engineering and Power Technology (9 citations). Long Sun has collaborated with scholars based in China, Hong Kong and Yemen. Frequent co-authors include Ruosong Chang, Liang Cheng, Lei Ding, Yong Cheol Kang, Qi Zhang, Weiyu Bao, Sihui Wang, Peng Zhu, Shuang Chen and Jwu‐Sheng Hu. Their work appears in journals such as Transportation Research Part F Traffic Psychology and Behaviour, PLoS ONE, Heliyon, Journal of Safety Research and Neuroreport.

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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