Judith Y.T. Wang

41 total papers · 985 total citations
29 papers, 751 citations indexed

About

Judith Y.T. Wang is a scholar working on Transportation, Automotive Engineering and Economics and Econometrics. According to data from OpenAlex, Judith Y.T. Wang has authored 29 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Transportation, 14 papers in Automotive Engineering and 8 papers in Economics and Econometrics. Recurrent topics in Judith Y.T. Wang's work include Transportation Planning and Optimization (28 papers), Urban Transport and Accessibility (14 papers) and Transportation and Mobility Innovations (10 papers). Judith Y.T. Wang is often cited by papers focused on Transportation Planning and Optimization (28 papers), Urban Transport and Accessibility (14 papers) and Transportation and Mobility Innovations (10 papers). Judith Y.T. Wang collaborates with scholars based in United Kingdom, New Zealand and Hong Kong. Judith Y.T. Wang's co-authors include Matthias Ehrgott, Hai Yang, Robin Lindsey, Andrea Raith, Alexandros Nikitas, Chris Van Houtte, Anthony Chen, Kim N. Dirks, Abhishek Gupta and David Watling and has published in prestigious journals such as Transportation Research Part B Methodological, Computers & Operations Research and Transportation Research Part A Policy and Practice.

In The Last Decade

Judith Y.T. Wang

28 papers receiving 728 citations

Author Peers

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

Author Last Decade Papers Cites
Judith Y.T. Wang 606 250 205 166 75 29 751
Menno Yap 579 1.0× 380 1.5× 148 0.7× 62 0.4× 60 0.8× 29 740
Seungkyu Ryu 676 1.1× 225 0.9× 177 0.9× 277 1.7× 93 1.2× 44 820
Dániel Hörcher 501 0.8× 270 1.1× 149 0.7× 131 0.8× 111 1.5× 29 691
Yingyan Lou 508 0.8× 281 1.1× 214 1.0× 248 1.5× 84 1.1× 35 819
Maria Nadia Postorino 355 0.6× 183 0.7× 147 0.7× 104 0.6× 41 0.5× 62 796
Yi-Chang Chiu 471 0.8× 286 1.1× 217 1.1× 206 1.2× 74 1.0× 47 759
Antonio Gschwender 738 1.2× 362 1.4× 220 1.1× 106 0.6× 118 1.6× 30 839
Ta‐Yin Hu 586 1.0× 216 0.9× 317 1.5× 386 2.3× 40 0.5× 47 819
Shanjiang Zhu 693 1.1× 228 0.9× 212 1.0× 92 0.6× 86 1.1× 48 840
Stefano Carrese 417 0.7× 425 1.7× 270 1.3× 106 0.6× 36 0.5× 53 858

Countries citing papers authored by Judith Y.T. Wang

Since Specialization
Citations

This map shows the geographic impact of Judith Y.T. 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 Judith Y.T. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Y.T. Wang more than expected).

Fields of papers citing papers by Judith Y.T. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judith Y.T. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Judith Y.T. Wang. A scholar is included among the top collaborators of Judith Y.T. Wang 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 Judith Y.T. Wang. Judith Y.T. Wang 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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