Kailai Wang

1.8k citations
62 papers · 1.3k · h-index 19

Impact in

    • Urban Transport and Accessibility
    • Transportation Planning and Optimization
    • Human Mobility and Location-Based Analysis
    • Transportation and Mobility Innovations

Papers in

Kailai Wang

57 papers receiving 1.3k citations

Peers

Kailai Wang
Comparison fields: 5 of 103
  • Transportation 973
  • Automotive Engineering 442
  • Building and Construction 312
  • Marketing 129
  • Safety, Risk, Reliability and Quality 104
Replace William Riggs with:
William Riggs United States
Yanjie Ji China
Tobias Kuhnimhof Germany
Till Koglin Sweden
Jinhyun Hong United Kingdom
Efthimios Bakogiannis Greece
Anne Brown United States
Sicheng Wang United States
Keunhyun Park United States
Jan Scheurer Australia
Kailai Wang relative to William Riggs United States William Riggs's profile →
Citations per field
00.5×4.2×
William Riggs · 1×
Citations per year

Countries citing papers authored by Kailai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kailai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018149
2 2022122
3 2019115
4 202292
5 202272
6 202069
7 202269
8 202163
9 201956
10 201944
11 201835
12 202332
13 202231
14 202131
15 201522
16 202421
17 202121
18 202220
19 201618
20 202017

About Kailai Wang

Kailai Wang is a scholar working on Transportation, Building and Construction, Automotive Engineering, Safety, Risk, Reliability and Quality and Genetics, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Urban Transport and Accessibility (32 papers), Transportation Planning and Optimization (20 papers), Transportation and Mobility Innovations (12 papers), Traffic and Road Safety (8 papers), Urban and Freight Transport Logistics (7 papers), Genetic diversity and population structure (6 papers), Genomics and Phylogenetic Studies (4 papers) and Consumer Retail Behavior Studies (4 papers). The work is most often cited by research in Transportation (973 citations), Automotive Engineering (442 citations), Building and Construction (312 citations), Marketing (129 citations) and Safety, Risk, Reliability and Quality (104 citations). Kailai Wang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Gulsah Akar, Yu-Jen Chen, Long Cheng, Frank Witlox, Yong‐Sung Lee, Tanhua Jin, Giovanni Circella, Jie Huang, Jonas De Vos and Xiaodong Qian. Their work appears in journals such as Transportation Research Part A Policy and Practice, Travel Behaviour and Society, Cities, Journal of Transport Geography and Transportation Research Part F Traffic Psychology and Behaviour.

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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