Shengbo Guo

20 total papers · 471 total citations
8 papers, 227 citations indexed

About

Shengbo Guo is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Shengbo Guo has authored 8 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Signal Processing. Recurrent topics in Shengbo Guo's work include Information Retrieval and Search Behavior (2 papers), Data Management and Algorithms (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Shengbo Guo is often cited by papers focused on Information Retrieval and Search Behavior (2 papers), Data Management and Algorithms (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Shengbo Guo collaborates with scholars based in United States, France and Australia. Shengbo Guo's co-authors include Scott Sanner, Edwin V. Bonilla, David B. Dunson, Gary Chen, Cédric Archambeau, Yingjian Wang, Piyush Rai, Lawrence Carin, Onno Zoeter and Guillaume Bouchard and has published in prestigious journals such as Machine Learning, ANU Open Research (Australian National University) and Neural Information Processing Systems.

In The Last Decade

Shengbo Guo

8 papers receiving 217 citations

Author Peers

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

Author Last Decade Papers Cites
Shengbo Guo 124 60 55 40 30 8 227
Abhay Harpale 165 1.3× 95 1.6× 168 3.1× 40 1.0× 29 1.0× 7 314
Ankan Saha 139 1.1× 34 0.6× 6 0.1× 31 0.8× 49 1.6× 14 214
Hyokun Yun 92 0.7× 53 0.9× 10 0.2× 59 1.5× 14 0.5× 7 162
Ravi Kumar 124 1.0× 35 0.6× 7 0.1× 28 0.7× 47 1.6× 8 249
David Lugato 108 0.9× 44 0.7× 66 1.2× 64 1.6× 12 0.4× 15 319
Niannan Xue 47 0.4× 54 0.9× 12 0.2× 193 4.8× 55 1.8× 10 271
Tasuku Soma 57 0.5× 12 0.2× 20 0.4× 8 0.2× 13 0.4× 15 163
Anand Louis 97 0.8× 10 0.2× 15 0.3× 37 0.9× 8 0.3× 16 197
Huasha Zhao 105 0.8× 52 0.9× 14 0.3× 47 1.2× 2 0.1× 12 170
Yi Wen 175 1.4× 22 0.4× 7 0.1× 151 3.8× 4 0.1× 8 241

Countries citing papers authored by Shengbo Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shengbo Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengbo Guo

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