I‐Hsien Ting

1.1k citations
78 papers · 530 indexed · h-index 12
Topics
Complex Network Analysis Techniques (15 papers)Privacy-Preserving Technologies in Data (9 papers)Advanced Text Analysis Techniques (8 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Business ResearchExpert Systems with Applications

In The Last Decade

I‐Hsien Ting

68 papers receiving 481 citations

Peers

I‐Hsien Ting
Comparison fields: 5 of 91
  • Artificial Intelligence 200
  • Information Systems 177
  • Sociology and Political Science 111
  • Health Information Management 79
  • Statistical and Nonlinear Physics 73
Replace Noboru Sonehara with:
Noboru Sonehara Japan
Ramanathan Narayanan United States
Juan A. Recio-Garcí­a Spain
Jiexun Li United States
Shourya Roy India
Eleanna Kafeza Greece
Saeedeh Momtazi Iran
Tyrone Grandison United States
Haggai Roitman Israel
I‐Hsien Ting relative to Noboru Sonehara Japan Noboru Sonehara's profile →
Citations per field
00.5×2.8×
Noboru Sonehara · 1×
Citations per year

Countries citing papers authored by I‐Hsien Ting

Since Specialization
Citations

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

Fields of papers citing papers by I‐Hsien Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Hsien Ting. 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 I‐Hsien Ting. The network helps show where I‐Hsien Ting may publish in the future.

Co-authorship network of co-authors of I‐Hsien Ting

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Hsien Ting. A scholar is included among the top collaborators of I‐Hsien Ting 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 I‐Hsien Ting. I‐Hsien Ting 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
#WorkIndexed citations
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Finding unexpected navigation behaviour in clickstream data for website design improvement
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Combining Ethnographic and Clickstream Data to Identify User Web Browsing Strategies
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About I‐Hsien Ting

I‐Hsien Ting is a scholar working on Statistical and Nonlinear Physics, Communication and Information Systems, having authored 78 papers that have together received 530 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Privacy-Preserving Technologies in Data (9 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Health Information Management (79 citations), Information Systems (177 citations) and Artificial Intelligence (200 citations). I‐Hsien Ting has collaborated with scholars based in Taiwan, United Kingdom and Indonesia. Frequent co-authors include Moloud Abdar, Resul Daş, Mariam Zomorodi‐Moghadam, Hui‐Ju Wu, Lorna Uden, Chris Kimble, Kaiyu Wang, Daniel Kudenko⋆, Shyue-Liang Wang and Juan M. Corchado. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Expert Systems with Applications.

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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