Yu-Ling Hsueh

727 citations
38 papers · 492 · h-index 12

Impact in

    • Human Mobility and Location-Based Analysis
    • Transportation Planning and Optimization
    • Data Management and Algorithms

Papers in

Yu-Ling Hsueh

37 papers receiving 477 citations

Peers

Yu-Ling Hsueh
Comparison fields: 5 of 82
  • Transportation 132
  • Signal Processing 91
  • Building and Construction 94
  • Computer Science Applications 30
  • Artificial Intelligence 166
Replace Divya Bansal with:
Divya Bansal India
Menglin Li China
Ruobing Jiang China
Leon Stenneth United States
Zhen Tu China
Jeff Ban United States
Samuli Hemminki Finland
Faizan Ur Rehman Saudi Arabia
Paul Martin United States
Bo-Jhang Ho United States
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Citations per field
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Citations per year

Countries citing papers authored by Yu-Ling Hsueh

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Ling Hsueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Ling Hsueh. 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 Yu-Ling Hsueh. The network helps show where Yu-Ling Hsueh may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu-Ling Hsueh, 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 Yu-Ling Hsueh Line = papers co-authored together Yu-Ling Hsueh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 201773
3 201558
4 202149
5 202028
6 201721
7 201520
8 201712
9 202012
10 202111
11 201911
12 201611
13 20189
14 20128
15 20187
16 20147
17 20157
18 20166
19 20225
20 20175

About Yu-Ling Hsueh

Yu-Ling Hsueh is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Geography, Planning and Development, having authored 38 papers that have together received 492 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Geographic Information Systems Studies (6 papers), Privacy-Preserving Technologies in Data (5 papers), Advanced Database Systems and Queries (4 papers), Anomaly Detection Techniques and Applications (4 papers), Human Mobility and Location-Based Analysis (4 papers), Caching and Content Delivery (4 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Transportation (132 citations), Signal Processing (91 citations), Building and Construction (94 citations), Computer Science Applications (30 citations) and Artificial Intelligence (166 citations). Yu-Ling Hsueh has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Ren‐Hung Hwang, Yuting Chen, Wen‐Nung Lie, Jerry Chih‐Yuan Sun, Shih‐Jou Yu, Kuo‐Jen Hwang, Wang-Chien Lee, Ying Zhang, Chih-Wen Hsueh and Roger Zimmermann. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering, Journal of Network and Computer Applications, Medicine and IEEE Transactions on Services Computing.

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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