Henry Tan
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Computational Theory and Mathematics
- Co-authors
- Fedja HadzicMicah SherrTharam S. DillonElizabeth ChangChris WacekKevin BauerWenchao ZhouLing Feng
- Topics
- Data Mining Algorithms and Applications (8 papers)Advanced Database Systems and Queries (7 papers)Rough Sets and Fuzzy Logic (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM Transactions on Knowledge Discovery from DataFundamenta Informaticae
- Partner nations
- AustraliaUnited StatesSingapore
In The Last Decade
Henry Tan
16 papers receiving 160 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 99
- Information Systems 81
- Computer Networks and Communications 77
- Signal Processing 52
- Computational Theory and Mathematics 32
Countries citing papers authored by Henry Tan
This map shows the geographic impact of Henry Tan'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 Henry Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry Tan more than expected).
Fields of papers citing papers by Henry Tan
This network shows the impact of papers produced by Henry Tan. 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 Henry Tan. The network helps show where Henry Tan may publish in the future.
Co-authorship network of co-authors of Henry Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Henry Tan. A scholar is included among the top collaborators of Henry Tan 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 Henry Tan. Henry Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | An Empirical Evaluation of Relay Selection in Tor. | 36 |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | Tree model guided candidate generation for mining frequent subtrees from XML | 21 |
| 11 | State of the art of data mining of tree structured information | 3 |
| 12 | 2 | |
| 13 | 20 | |
| 14 | 13 | |
| 15 | 10 | |
| 16 | 6 | |
| 17 | 5 |
About Henry Tan
Henry Tan is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing, having authored 17 papers that have together received 166 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Advanced Database Systems and Queries (7 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Signal Processing (52 citations), Information Systems (81 citations) and Computer Networks and Communications (77 citations). Henry Tan has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Fedja Hadzic, Micah Sherr, Tharam S. Dillon, Elizabeth Chang, Chris Wacek, Kevin Bauer, Tharam S. Dillon, Wenchao Zhou, Ling Feng and Ling Feng. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Transactions on Knowledge Discovery from Data and Fundamenta Informaticae.
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.