I‐Hsien Ting

1.1k citations
78 papers · 530 indexed · h-index 12

I‐Hsien Ting

68 papers receiving 481 citations

Peers

I‐Hsien Ting
Comparison fields: 5 of 91
  • Health Information Management 79
  • Information Systems 177
  • Artificial Intelligence 200
  • Statistical and Nonlinear Physics 73
  • Information Systems and Management 39
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

The 25 scholars most cited alongside I‐Hsien Ting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with I‐Hsien Ting Line = papers co-authored together I‐Hsien Ting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20232
4 20232
5 20221
6 20222
7 20212
8 20195
9 20191
10 20181
11 20141
12 20134
13 20136
14 20111
15 20106
16
Finding unexpected navigation behaviour in clickstream data for website design improvement
20094
17 200813
18
Combining Ethnographic and Clickstream Data to Identify User Web Browsing Strategies
200622
19 20043
20 19950

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), Advanced Text Analysis Techniques (8 papers), Web Data Mining and Analysis (8 papers), Privacy, Security, and Data Protection (6 papers), Data Mining Algorithms and Applications (6 papers), Digital Marketing and Social Media (6 papers) and Recommender Systems and Techniques (6 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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