Jui-Fa Chen

414 citations
21 papers · 257 · h-index 6

Impact in

Papers in

Jui-Fa Chen

16 papers receiving 239 citations

Peers

Jui-Fa Chen
Comparison fields: 5 of 45
  • Computer Networks and Communications 198
  • Computer Graphics and Computer-Aided Design 15
  • Signal Processing 23
  • Computer Vision and Pattern Recognition 37
  • Information Systems 34
Replace Carsten Buschmann with:
Carsten Buschmann Germany
Cullen Jennings United States
Mario Döller Germany
Shun-Yun Hu Taiwan
Sivadi Balakrishna India
Deng Zhao China
Shiju Sathyadevan India
Qazi Waqas Khan South Korea
Tricha Anjali India
Jui-Fa Chen relative to Carsten Buschmann Germany Carsten Buschmann's profile →
Citations per field
00.5×
Carsten Buschmann · 1×
Citations per year

Countries citing papers authored by Jui-Fa Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jui-Fa Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui-Fa Chen. 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 Jui-Fa Chen. The network helps show where Jui-Fa Chen may publish in the future.

Co-authors

The 18 scholars most cited alongside Jui-Fa Chen, 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 Jui-Fa Chen Line = papers co-authored together Jui-Fa Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006187
2 202322
3 200710
4 20117
5 20057
6 20235
7 20103
8
An Efficient Approach to Holding a Virtual Conference
20013
9 20122
10 20052
11 19982
12 20121
13
An XML World Wide Web Search Engine Using Approximate Structural Matching
20011
14
Development and Design of Problem Based Learning Game-Based Courseware.
20151
15 20221
16 20001
17 20031
18
Intelligent Infection Surveillance System to assist the Control of Healthcare-Associated Infections
20161
19
Using the keyword in context segmentation method for collaborative design in a Chinese website.
20030
20 20020

About Jui-Fa Chen

Jui-Fa Chen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 21 papers that have together received 257 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (5 papers), Flood Risk Assessment and Management (3 papers), Hydrological Forecasting Using AI (3 papers), Caching and Content Delivery (3 papers), Wireless Communication Networks Research (2 papers), Context-Aware Activity Recognition Systems (2 papers), Multimedia Communication and Technology (2 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Computer Networks and Communications (198 citations), Computer Graphics and Computer-Aided Design (15 citations), Signal Processing (23 citations), Computer Vision and Pattern Recognition (37 citations) and Information Systems (34 citations). Jui-Fa Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Tsuhan Chen, Shun-Yun Hu, Fi‐John Chang, Li‐Chiu Chang, Yuting Liao, Kuo‐Feng Huang, Jason C. Hung, Wen‐Chen Hu, Ting-Wei Chang and Jiung-Yao Huang. Their work appears in journals such as Water, IEEE Network, International Journal of Advancements in Computing Technology, Information Sciences and Journal of Communications.

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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