Li‐Ming Tseng

1.2k citations
28 papers · 816 · h-index 10

Impact in

Papers in

Li‐Ming Tseng

28 papers receiving 783 citations

Peers

Li‐Ming Tseng
Comparison fields: 5 of 32
  • Computer Networks and Communications 667
  • Computer Vision and Pattern Recognition 290
  • Signal Processing 119
  • Sociology and Political Science 450
  • Management Information Systems 47
Replace Li-Shen Juhn with:
Li-Shen Juhn Taiwan
Simon Sheu United States
José Oscar Fajardo Spain
Eirini Liotou Greece
E. Guttman United States
Won Ryu South Korea
Nino Vincenzo Verde Italy
Jacob Strauss United States
Rafał Stankiewicz Poland
N. Weiler Switzerland
Li‐Ming Tseng relative to Li-Shen Juhn Taiwan Li-Shen Juhn's profile →
Citations per field
00.5×1.5×2.5×
Li-Shen Juhn · 1×
Citations per year

Countries citing papers authored by Li‐Ming Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Ming Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Ming 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 Li‐Ming Tseng. The network helps show where Li‐Ming Tseng may publish in the future.

Co-authors

The 14 scholars most cited alongside Li‐Ming Tseng, 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 Li‐Ming Tseng Line = papers co-authored together Li‐Ming Tseng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997303
2 1998200
3 199778
4 199846
5 199939
6 200227
7 200727
8 199816
9 201611
10 200811
11 20059
12 20037
13 20047
14 20126
15 20045
16 20065
17 20093
18 20082
19 20022
20 20032

About Li‐Ming Tseng

Li‐Ming Tseng is a scholar working on Computer Networks and Communications, Sociology and Political Science, Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, having authored 28 papers that have together received 816 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (15 papers), Image and Video Quality Assessment (12 papers), Peer-to-Peer Network Technologies (12 papers), Caching and Content Delivery (8 papers), Video Coding and Compression Technologies (6 papers), Network Traffic and Congestion Control (4 papers), IPv6, Mobility, Handover, Networks, Security (3 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Computer Networks and Communications (667 citations), Computer Vision and Pattern Recognition (290 citations), Signal Processing (119 citations), Sociology and Political Science (450 citations) and Management Information Systems (47 citations). Li‐Ming Tseng has collaborated with scholars based in Taiwan, Russia and Canada. Frequent co-authors include Li-Shen Juhn, Hsiang‐Fu Yu, Yingnan Chen, Yiming Chen, Yiming Chen, Li‐Der Chou, Changhua Wu, Pin‐Han Ho, Hsiang‐Fu Yu and Shun-Yun Hu. Their work appears in journals such as IEEE Transactions on Broadcasting, Computer Communications, Internet Research, IEEE Transactions on Consumer Electronics and ACM Transactions on Internet Technology.

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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