Ziang Xiao

68 total papers · 1.0k total citations
30 papers, 434 citations indexed

About

Ziang Xiao is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ziang Xiao has authored 30 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Automotive Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ziang Xiao's work include Spatial Cognition and Navigation (7 papers), AI in Service Interactions (5 papers) and Topic Modeling (5 papers). Ziang Xiao is often cited by papers focused on Spatial Cognition and Navigation (7 papers), AI in Service Interactions (5 papers) and Topic Modeling (5 papers). Ziang Xiao collaborates with scholars based in United States, South Korea and China. Ziang Xiao's co-authors include Michelle X. Zhou, Karrie Karahalios, Q. Vera Liao, Wenxi Chen, Wai‐Tat Fu, Huahai Yang, Gloria Mark, Q. Vera Liao, Kevin Hamilton and Kristen Vaccaro and has published in prestigious journals such as IEEE Access, ACM Transactions on Computer-Human Interaction and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Ziang Xiao

26 papers receiving 421 citations

Author Peers

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

Author Last Decade Papers Cites
Ziang Xiao 228 109 51 51 51 30 434
Zhiyuan Lin 143 0.6× 142 1.3× 67 1.3× 45 0.9× 27 0.5× 20 419
Stephan Diederich 232 1.0× 107 1.0× 47 0.9× 48 0.9× 57 1.1× 21 408
Bhuva Narayan 159 0.7× 122 1.1× 42 0.8× 46 0.9× 37 0.7× 53 475
Janghee Cho 171 0.8× 101 0.9× 34 0.7× 27 0.5× 82 1.6× 16 368
Danaë Metaxa 121 0.5× 185 1.7× 35 0.7× 65 1.3× 68 1.3× 25 445
Nava Tintarev 169 0.7× 149 1.4× 19 0.4× 27 0.5× 34 0.7× 46 475
Sebastian Hobert 314 1.4× 83 0.8× 29 0.6× 20 0.4× 35 0.7× 35 478
Radhika Garg 176 0.8× 108 1.0× 43 0.8× 15 0.3× 151 3.0× 32 446
Ruotong Wang 224 1.0× 93 0.9× 12 0.2× 24 0.5× 64 1.3× 17 480
Daniel Kluver 177 0.8× 89 0.8× 16 0.3× 39 0.8× 103 2.0× 14 430

Countries citing papers authored by Ziang Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Ziang Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziang Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ziang Xiao. A scholar is included among the top collaborators of Ziang Xiao 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 Ziang Xiao. Ziang Xiao 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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