Xiaodi Wang

78 total papers · 1.3k total citations
38 papers, 773 citations indexed

About

Xiaodi Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaodi Wang has authored 38 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaodi Wang's work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Blockchain Technology Applications and Security (3 papers). Xiaodi Wang is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Blockchain Technology Applications and Security (3 papers). Xiaodi Wang collaborates with scholars based in China, United States and United Kingdom. Xiaodi Wang's co-authors include Julia A. Kalow, Ying Xin, Shumin Han, Yunhao Wang, Shentong Mo, Ping Luo, Gang Zeng, Mingyu Ding, Jingdong Wang and Xiaokang Chen and has published in prestigious journals such as Chemical Reviews, Expert Systems with Applications and Organic Letters.

In The Last Decade

Xiaodi Wang

35 papers receiving 744 citations

Hit Papers

Molecular Characterizatio... 2021 2026 2022 2024 2021 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Xiaodi Wang 224 165 109 90 89 38 773
Zhijun Yang 93 0.4× 104 0.6× 109 1.0× 100 1.1× 185 2.1× 76 823
Yuanzhen Wang 126 0.6× 60 0.4× 97 0.9× 24 0.3× 121 1.4× 77 704
Guanchun Wang 99 0.4× 177 1.1× 164 1.5× 24 0.3× 93 1.0× 48 870
Yu Chen 323 1.4× 82 0.5× 63 0.6× 46 0.5× 80 0.9× 61 880
Yingying Ren 139 0.6× 27 0.2× 81 0.7× 93 1.0× 87 1.0× 75 808
Jian Zhang 143 0.6× 48 0.3× 247 2.3× 202 2.2× 76 0.9× 33 898
Mang Wang 129 0.6× 125 0.8× 171 1.6× 57 0.6× 105 1.2× 34 812
Yating Li 100 0.4× 54 0.3× 94 0.9× 38 0.4× 64 0.7× 76 891
Haotian Li 63 0.3× 155 0.9× 58 0.5× 32 0.4× 14 0.2× 82 764
Jialu Wang 102 0.5× 60 0.4× 143 1.3× 37 0.4× 15 0.2× 84 889

Countries citing papers authored by Xiaodi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodi Wang

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