Tu Bao Ho

179 total papers · 2.7k total citations
82 papers, 1.6k citations indexed

About

Tu Bao Ho is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Tu Bao Ho has authored 82 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 31 papers in Molecular Biology and 17 papers in Information Systems. Recurrent topics in Tu Bao Ho's work include Data Mining Algorithms and Applications (13 papers), Rough Sets and Fuzzy Logic (9 papers) and Topic Modeling (8 papers). Tu Bao Ho is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Rough Sets and Fuzzy Logic (9 papers) and Topic Modeling (8 papers). Tu Bao Ho collaborates with scholars based in Japan, Vietnam and United States. Tu Bao Ho's co-authors include Michael Berk, Dinh Phung, Santu Rana, John Yearwood, Truyen Tran, Chandan Karmakar, Alistair Shilton, Sunil Gupta, Svetha Venkatesh and Nevenka Dimitrova and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and Expert Systems with Applications.

In The Last Decade

Tu Bao Ho

80 papers receiving 1.5k citations

Hit Papers

Guidelines for Developing... 2016 2026 2019 2022 2016 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Tu Bao Ho 541 275 174 166 162 82 1.6k
Shyam Visweswaran 769 1.4× 503 1.8× 107 0.6× 75 0.5× 77 0.5× 129 2.0k
Manjit Kaur 562 1.0× 180 0.7× 84 0.5× 125 0.8× 112 0.7× 89 2.1k
Carlo Combi 864 1.6× 273 1.0× 76 0.4× 144 0.9× 456 2.8× 157 2.0k
Alfredo Vellido 932 1.7× 232 0.8× 60 0.3× 78 0.5× 175 1.1× 136 2.3k
Zhengxing Huang 893 1.7× 325 1.2× 53 0.3× 91 0.5× 74 0.5× 95 1.9k
Klaus-Peter Adlassnig 683 1.3× 272 1.0× 108 0.6× 182 1.1× 77 0.5× 86 1.4k
Guotong Xie 608 1.1× 233 0.8× 113 0.6× 125 0.8× 41 0.3× 172 1.8k
You Chen 613 1.1× 173 0.6× 106 0.6× 44 0.3× 98 0.6× 139 2.1k
Santu Rana 546 1.0× 87 0.3× 183 1.1× 230 1.4× 58 0.4× 84 2.1k
Prakash M. Nadkarni 927 1.7× 639 2.3× 66 0.4× 69 0.4× 61 0.4× 83 2.3k

Countries citing papers authored by Tu Bao Ho

Since Specialization
Citations

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

Fields of papers citing papers by Tu Bao Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tu Bao Ho. 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 Tu Bao Ho. The network helps show where Tu Bao Ho may publish in the future.

Co-authorship network of co-authors of Tu Bao Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Tu Bao Ho. A scholar is included among the top collaborators of Tu Bao Ho 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 Tu Bao Ho. Tu Bao Ho 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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