Tu Bao Ho

2.7k total citations · 1 hit paper
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 Machine Learning in Bioinformatics (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 Machine Learning in Bioinformatics (8 papers). Tu Bao Ho collaborates with scholars based in Japan, Vietnam and United States. Tu Bao Ho's co-authors include Dinh Phung, Nevenka Dimitrova, Svetha Venkatesh, Chandan Karmakar, John Yearwood, Wei Luo, Sunil Gupta, Alistair Shilton, Santu Rana and Truyen Tran 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

81 papers receiving 1.5k citations

Hit Papers

Guidelines for Developing and Reporting Machine Learning ... 2016 2026 2019 2022 2016 200 400 600

Peers

Tu Bao Ho
Comparison fields: 5 of 172
  • Artificial Intelligence 543
  • Molecular Biology 274
  • Surgery 175
  • Computational Theory and Mathematics 167
  • Signal Processing 162
Replace Lucia Sacchi with:
Lucia Sacchi Italy
Shyam Visweswaran United States
Mario Stefanelli Italy
Guotong Xie China
Jianying Hu United States
Zhengxing Huang China
You Chen United States
Themis P. Exarchos Greece
Peter Lucas Netherlands
Stefania Montani Italy
Lucia Sacchi Italy View profile →
Citations per field, relative to Tu Bao Ho
Tu Bao Ho · 1×
Citations per year, relative to Tu Bao Ho
Tu Bao Ho · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 3
2 16
3
Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View breakdown →
695
4
Supervised dimension reduction with topic models
2
5 8
6
Augmented Mutual Information for Multi-word Extraction
11
7 1
8
PRICAI 2008 : trends in artificial intelligence : 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008 : proceedings
1
9 7
10 68
11 1
12
Temporal abstraction and data mining with visualization of laboratory data.
6
13
Kernel matrix evaluation
18
14 3
15 14
16 38
17
A User-Centered Visual Approach to Data Mining: The System D2MS
1
18
An Interactive-Graphic System for Decision Tree Induction
7
19
Information Retrieval Using Rough Sets
12
20
An Approach to Concept Formation Based on Formal Concept Analysis
30

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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