Haonan Wang

151 total papers · 1.5k total citations
78 papers, 808 citations indexed

About

Haonan Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Haonan Wang has authored 78 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Haonan Wang's work include Soil Geostatistics and Mapping (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Topic Modeling (4 papers). Haonan Wang is often cited by papers focused on Soil Geostatistics and Mapping (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Topic Modeling (4 papers). Haonan Wang collaborates with scholars based in United States, China and Hong Kong. Haonan Wang's co-authors include J. S. Marron, Barry R. Noon, William H. Clements, Derek L. Sonderegger, Maria Giovanna Ranalli, Zhicong Lu, Roger Wattenhofer, Ye Wang, Peng Cao and Elizabeth Bullitt and has published in prestigious journals such as Journal of the American Statistical Association, Scientific Reports and Biometrics.

In The Last Decade

Haonan Wang

67 papers receiving 771 citations

Author Peers

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

Author Last Decade Papers Cites
Haonan Wang 183 104 68 67 65 78 808
Xu 229 1.3× 131 1.3× 40 0.6× 56 0.8× 74 1.1× 153 957
Du 103 0.6× 32 0.3× 39 0.6× 30 0.4× 68 1.0× 113 715
Ioan Dziţac 151 0.8× 32 0.3× 12 0.2× 19 0.3× 113 1.7× 44 924
Ergun Gide 259 1.4× 70 0.7× 39 0.6× 94 1.4× 158 2.4× 78 959
Javier de Andrés Suárez 169 0.9× 65 0.6× 50 0.7× 83 1.2× 68 1.0× 71 909
Seuk Wai Phoong 215 1.2× 150 1.4× 63 0.9× 103 1.5× 104 1.6× 45 921
Dayanand N. Naik 84 0.5× 31 0.3× 17 0.3× 15 0.2× 23 0.4× 40 873
Xinyu Sun 94 0.5× 162 1.6× 93 1.4× 53 0.8× 31 0.5× 68 1.0k
Andreas Weingessel 331 1.8× 42 0.4× 34 0.5× 4 0.1× 59 0.9× 23 989
Yunfeng Li 149 0.8× 45 0.4× 19 0.3× 14 0.2× 149 2.3× 48 755

Countries citing papers authored by Haonan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haonan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haonan Wang

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