Jui-Fa Chen

414 citations
24 papers · 284 · h-index 6

Impact in

Papers in

Jui-Fa Chen

19 papers receiving 262 citations

Peers

Jui-Fa Chen
Comparison fields: 5 of 50
  • Computer Networks and Communications 215
  • Computer Graphics and Computer-Aided Design 15
  • Signal Processing 24
  • Computer Vision and Pattern Recognition 40
  • Information Systems 40
Replace Indu Kashyap with:
Indu Kashyap India
Cullen Jennings United States
Deng Zhao China
R. Naresh India
Qazi Waqas Khan South Korea
Junqi Duan China
Sandra Siby Switzerland
Diana W. Dawoud United Arab Emirates
Shun-Yun Hu Taiwan
Jui-Fa Chen relative to Indu Kashyap India Indu Kashyap's profile →
Citations per field
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006204
2 202325
3 200710
4 20117
5 20057
6 20235
7 20103
8 20053
9 20113
10
An Efficient Approach to Holding a Virtual Conference
20013
11 20122
12 19982
13
Using the keyword in context segmentation method for collaborative design in a Chinese website.
20031
14
A Chinese Interactive Feedback System for An e-Learning Website
20051
15 20121
16
An XML World Wide Web Search Engine Using Approximate Structural Matching
20011
17
Development and Design of Problem Based Learning Game-Based Courseware.
20151
18 20221
19 20121
20 20001

About Jui-Fa Chen

Jui-Fa Chen is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Water Science and Technology, having authored 24 papers that have together received 284 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 (215 citations), Computer Graphics and Computer-Aided Design (15 citations), Signal Processing (24 citations), Computer Vision and Pattern Recognition (40 citations) and Information Systems (40 citations). Jui-Fa Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Tsuhan Chen, Shun-Yun Hu, Li‐Chiu Chang, Fi‐John Chang, Yuting Liao, Ching-Sheng Wang, Nan‐Chen Hsieh, Timothy K. Shih, Ying-Hong Wang and Yinghong Wang. Their work appears in journals such as Water, International Journal of Advancements in Computing Technology, IEEE Network, Information Sciences and Lecture notes in computer science.

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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