Tyne Liang

39 papers receiving 565 citations

Peers

Tyne Liang
Comparison fields: 5 of 55
  • Computational Theory and Mathematics 238
  • Information Systems 294
  • Computer Networks and Communications 228
  • Artificial Intelligence 267
  • Hardware and Architecture 54
Replace Michael Zohner with:
Michael Zohner Germany
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Amit Levy United States
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Citations per year

Countries citing papers authored by Tyne Liang

Since Specialization
Citations

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

Fields of papers citing papers by Tyne Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyne Liang. 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 Tyne Liang. The network helps show where Tyne Liang may publish in the future.

Co-authors

The 22 scholars most cited alongside Tyne Liang, 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 Tyne Liang Line = papers co-authored together Tyne Liang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200286
2 200770
3 200958
4 201050
5 200947
6
Efficient Mining of Temporal High Utility Itemsets from Data streams
200643
7 200842
8 201026
9
MINING TEMPORAL RARE UTILITY ITEMSETS IN LARGE DATABASES USING RELATIVE UTILITY THRESHOLDS
200820
10 200417
11
Pronominal and Sortal Anaphora Resolution for Biomedical Literature.
200416
12
Situated Poetry Learning Using Multimedia Resource Sharing Approach.
201316
13 200913
14 199612
15
Automatic Pronominal Anaphora Resolution in English Texts
200411
16 200810
17
A Folksonomy-based Guidance Mechanism for Context-aware Ubiquitous Learning: A Case Study of Chinese Scenic Poetry Appreciation Activities
20129
18 20088
19 20098
20 20076

About Tyne Liang

Tyne Liang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 42 papers that have together received 621 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (12 papers), Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers), Data Mining Algorithms and Applications (7 papers), Rough Sets and Fuzzy Logic (7 papers), Data Management and Algorithms (5 papers), Speech and dialogue systems (5 papers) and Advanced Graph Theory Research (5 papers). The work is most often cited by research in Computational Theory and Mathematics (238 citations), Information Systems (294 citations), Computer Networks and Communications (228 citations), Artificial Intelligence (267 citations) and Hardware and Architecture (54 citations). Tyne Liang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Vincent S. Tseng, Chun‐Jung Chu, Chunling Chen, Lih‐Hsing Hsu, Frank S. C. Tseng, Jimmy J.M. Tan, Chang‐Hsiung Tsai, Cheng‐Kuan Lin, Shian‐Shyong Tseng and Yu-Hsiang Lin. Their work appears in journals such as Educational Technology & Society, International journal of innovative computing, information & control, Information Processing & Management, Applied Mathematics and Computation and Mathematical and Computer Modelling.

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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