Li Wan

90 total papers · 999 total citations
47 papers, 638 citations indexed

About

Li Wan is a scholar working on Transportation, Economics and Econometrics and Media Technology. According to data from OpenAlex, Li Wan has authored 47 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Transportation, 9 papers in Economics and Econometrics and 7 papers in Media Technology. Recurrent topics in Li Wan's work include Transportation Planning and Optimization (9 papers), Urban Transport and Accessibility (8 papers) and Regional Economics and Spatial Analysis (7 papers). Li Wan is often cited by papers focused on Transportation Planning and Optimization (9 papers), Urban Transport and Accessibility (8 papers) and Regional Economics and Spatial Analysis (7 papers). Li Wan collaborates with scholars based in United Kingdom, China and Hong Kong. Li Wan's co-authors include Jennifer Schooling, Timea Nochta, Ajith Kumar Parlikad, Edward Ng, Ying Jin, Junqing Tang, Guido Orzes, Guido Nassimbeni, Liang Wang and Marco Sartor and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Business Research.

In The Last Decade

Li Wan

42 papers receiving 621 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Li Wan 152 131 125 100 95 47 638
Harish Kumar 233 1.5× 72 0.5× 145 1.2× 40 0.4× 107 1.1× 26 599
Manoj Kumar Singh 222 1.5× 78 0.6× 140 1.1× 31 0.3× 100 1.1× 25 618
Silvia Blasi 79 0.5× 55 0.4× 53 0.4× 30 0.3× 70 0.7× 21 661
C. González 48 0.3× 71 0.5× 30 0.2× 60 0.6× 66 0.7× 30 775
Maria-Lluïsa Marsal-Llacuna 430 2.8× 94 0.7× 251 2.0× 16 0.2× 180 1.9× 14 764
Marco Tregua 252 1.7× 34 0.3× 140 1.1× 20 0.2× 179 1.9× 40 719
Anastasia Panori 304 2.0× 70 0.5× 216 1.7× 17 0.2× 138 1.5× 27 738
Andrea Ganzaroli 77 0.5× 40 0.3× 62 0.5× 19 0.2× 151 1.6× 43 736
Christina Kakderi 366 2.4× 75 0.6× 244 2.0× 18 0.2× 154 1.6× 21 731
Thomas J. Lampoltshammer 244 1.6× 32 0.2× 120 1.0× 22 0.2× 111 1.2× 52 673

Countries citing papers authored by Li Wan

Since Specialization
Citations

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

Fields of papers citing papers by Li Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Li Wan. A scholar is included among the top collaborators of Li Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li Wan. Li Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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