Ling-Yin Wei

586 total citations
14 papers, 405 citations indexed

About

Ling-Yin Wei is a scholar working on Signal Processing, Information Systems and Transportation. According to data from OpenAlex, Ling-Yin Wei has authored 14 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 6 papers in Information Systems and 6 papers in Transportation. Recurrent topics in Ling-Yin Wei's work include Data Management and Algorithms (12 papers), Geographic Information Systems Studies (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Ling-Yin Wei is often cited by papers focused on Data Management and Algorithms (12 papers), Geographic Information Systems Studies (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Ling-Yin Wei collaborates with scholars based in Taiwan, United States and China. Ling-Yin Wei's co-authors include Wen-Chih Peng, Yu Zheng, Wen-Chih Peng, Wang-Chien Lee, Man-Kwan Shan, Markus Schneider, Ting‐Wei Lin, Mi-Yen Yeh, Yu-Ming Chang and Junli Lu and has published in prestigious journals such as Expert Systems with Applications, Pervasive and Mobile Computing and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Ling-Yin Wei

14 papers receiving 390 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ling-Yin Wei Taiwan 8 273 263 93 88 82 14 405
Bart Moelans Belgium 8 215 0.8× 276 1.0× 47 0.5× 43 0.5× 137 1.7× 9 384
Kexin Xie Australia 9 161 0.6× 257 1.0× 64 0.7× 33 0.4× 111 1.4× 17 394
Zhengxin Ma China 6 250 0.9× 179 0.7× 131 1.4× 28 0.3× 53 0.6× 6 403
Jose Macedo Switzerland 3 210 0.8× 329 1.3× 43 0.5× 36 0.4× 166 2.0× 3 446
Elias Frentzos Greece 10 132 0.5× 431 1.6× 63 0.7× 37 0.4× 111 1.4× 15 497
Mohamed Ali United States 12 69 0.3× 222 0.8× 108 1.2× 49 0.6× 57 0.7× 40 384
Andy Yuan Xue Australia 5 220 0.8× 147 0.6× 18 0.2× 109 1.2× 33 0.4× 6 322
Huiqi Hu China 7 74 0.3× 107 0.4× 58 0.6× 43 0.5× 32 0.4× 37 291
Victor Teixeira de Almeida Germany 9 67 0.2× 309 1.2× 91 1.0× 35 0.4× 111 1.4× 13 393
Igor Timko Denmark 7 44 0.2× 208 0.8× 52 0.6× 26 0.3× 63 0.8× 13 244

Countries citing papers authored by Ling-Yin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ling-Yin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling-Yin Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Ling-Yin Wei. A scholar is included among the top collaborators of Ling-Yin Wei 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 Ling-Yin Wei. Ling-Yin Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Lu, Junli, Ling-Yin Wei, & Mi-Yen Yeh. (2014). Influence maximization in a social network in the presence of multiple influences and acceptances. 230–236. 2 indexed citations
2.
Wei, Ling-Yin, Wen-Chih Peng, & Wang-Chien Lee. (2013). Exploring pattern-aware travel routes for trajectory search. ACM Transactions on Intelligent Systems and Technology. 4(3). 1–25. 21 indexed citations
3.
Wei, Ling-Yin, et al.. (2013). Discovering Point-of-Interest Signatures Based on Group Features from Geo-social Networking Data. 2. 182–187. 2 indexed citations
4.
Wei, Ling-Yin, et al.. (2013). Discovering pattern-aware routes from trajectories. Distributed and Parallel Databases. 33(2). 201–226. 7 indexed citations
5.
Wei, Ling-Yin, et al.. (2013). Indexing spatial data in cloud data managements. Pervasive and Mobile Computing. 15. 48–61. 26 indexed citations
6.
Wei, Ling-Yin, Yu Zheng, & Wen-Chih Peng. (2012). Constructing popular routes from uncertain trajectories. 195–203. 241 indexed citations
7.
Wei, Ling-Yin, et al.. (2012). Key Formulation Schemes for Spatial Index in Cloud Data Managements. 19. 21–26. 19 indexed citations
8.
Wei, Ling-Yin, et al.. (2011). Discovering personalized routes from trajectories. 33–40. 37 indexed citations
9.
Wei, Ling-Yin, et al.. (2011). Route Discovery from Mining Uncertain Trajectories. 22 indexed citations
10.
Shan, Man-Kwan & Ling-Yin Wei. (2010). Algorithms for discovery of spatial co-orientation patterns from images☆. Expert Systems with Applications. 37(8). 5795–5802. 4 indexed citations
11.
Wei, Ling-Yin, et al.. (2010). PATS: A Framework of Pattern-Aware Trajectory Search. 372–377. 15 indexed citations
12.
Chang, Yu-Ming, et al.. (2009). Exploring GPS Data for Traffic Status Estimation. 369–370. 4 indexed citations
13.
Wei, Ling-Yin & Man-Kwan Shan. (2006). Mining Spatial Co-orientation Patterns for Analyzing Portfolios of Spatial Cognitive Development. 26. 699–701. 2 indexed citations
14.
Wei, Ling-Yin & Man-Kwan Shan. (2006). Efficient Mining of Spatial Co-orientation Patterns from Image Databases. 2982–2987. 3 indexed citations

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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