Vincent S. Tseng

2.4k citations
41 papers · 1.5k indexed · 1 hit paper · h-index 21
Topics
Data Management and Algorithms (17 papers)Data Mining Algorithms and Applications (10 papers)Human Mobility and Location-Based Analysis (9 papers)

In The Last Decade

Vincent S. Tseng

41 papers receiving 1.5k citations

Hit Papers

SPMF: a Java open-source pattern mining library2014202620182022201450100150200250

Peers

Vincent S. Tseng
Comparison fields: 5 of 111
  • Signal Processing 582
  • Information Systems 515
  • Transportation 460
  • Artificial Intelligence 368
  • Computer Vision and Pattern Recognition 348
Replace Mohamed Sarwat with:
Mohamed Sarwat United States
Jagan Sankaranarayanan United States
Peng Han China
Kyriakos Mouratidis Singapore
Aris Gkoulalas-Divanis Greece
Christos Doulkeridis Greece
Byron Choi Hong Kong
Yaron Kanza United States
Tieyun Qian China
Vincent S. Tseng relative to Mohamed Sarwat United States Mohamed Sarwat's profile →
Citations per field
00.5×1.5×
Mohamed Sarwat · 1×
Citations per year

Countries citing papers authored by Vincent S. Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Vincent S. Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent S. Tseng. 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 Vincent S. Tseng. The network helps show where Vincent S. Tseng may publish in the future.

Co-authorship network of co-authors of Vincent S. Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent S. Tseng. A scholar is included among the top collaborators of Vincent S. Tseng 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 Vincent S. Tseng. Vincent S. Tseng 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
1 60
2
SPMF: a Java open-source pattern mining librarybreakdown →
277
3 42
4
Demographic Prediction Based on User's Mobile Behaviors
36
5 26
6 4
7 40
8 65
9 40
10 15
11 25
12 25
13 4
14 23
15 25
16 23
17 1
18 4
19 76
20 2

About Vincent S. Tseng

Vincent S. Tseng is a scholar working on Signal Processing, Transportation and Geography, Planning and Development, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (17 papers), Data Mining Algorithms and Applications (10 papers) and Human Mobility and Location-Based Analysis (9 papers). The work is most often cited by research in Transportation (460 citations), Signal Processing (582 citations) and Geography, Planning and Development (132 citations). Vincent S. Tseng has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Josh Jia-Ching Ying, Wang-Chien Lee, Eric Hsueh-Chan Lu, Kawuu W. Lin, Philip S. Yu, Ja-Hwung Su, Ted Gueniche, Antonio Gomariz, Chengwei Wu and Philippe Fournier‐Viger. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Journal of Proteome Research.

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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