Yu‐Fang Chung

1.8k citations
84 papers · 1.3k · h-index 19

Impact in

Papers in

Yu‐Fang Chung

81 papers receiving 1.2k citations

Peers

Yu‐Fang Chung
Comparison fields: 5 of 123
  • Computer Networks and Communications 579
  • Information Systems 555
  • Artificial Intelligence 501
  • Health Information Management 51
  • Signal Processing 125
Replace Chien-Lung Hsu with:
Chien-Lung Hsu Taiwan
Marwan Ali Albahar Saudi Arabia
A.K. Majumdar India
Jafar Habibi Iran
Qutaibah Malluhi Qatar
Adeel Anjum Pakistan
Bernhard Bauer Germany
Soumya Sen India
Fan Jiang China
William Cheng‐Chung Chu Taiwan
Yu‐Fang Chung relative to Chien-Lung Hsu Taiwan Chien-Lung Hsu's profile →
Citations per field
00.5×
Chien-Lung Hsu · 1×
Citations per year

Countries citing papers authored by Yu‐Fang Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Fang Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Fang Chung. 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 Yu‐Fang Chung. The network helps show where Yu‐Fang Chung may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu‐Fang Chung, 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 Yu‐Fang Chung Line = papers co-authored together Yu‐Fang Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010206
2 2003126
3 2016105
4 201364
5 200743
6 200739
7 201139
8 201035
9 201935
10 200728
11 201326
12 201026
13 201324
14 200224
15 200424
16 200821
17 201719
18 202119
19 201318
20 201117

About Yu‐Fang Chung

Yu‐Fang Chung is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cryptography and Data Security (33 papers), Cryptography and Residue Arithmetic (17 papers), Advanced Authentication Protocols Security (9 papers), Access Control and Trust (9 papers), Cloud Data Security Solutions (9 papers), Mobile Agent-Based Network Management (8 papers), Chaos-based Image/Signal Encryption (7 papers) and Coding theory and cryptography (5 papers). The work is most often cited by research in Computer Networks and Communications (579 citations), Information Systems (555 citations), Artificial Intelligence (501 citations), Health Information Management (51 citations) and Signal Processing (125 citations). Yu‐Fang Chung has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tzer‐Shyong Chen, Feipei Lai, Zhen-Yu Wu, Hung‐Chang Lee, Yueh‐Chun Lee, Chia‐Hui Liu, Tzer‐Long Chen, A.-P. Tsou, Yuan-Chii G. Lee and Sheng‐De Wang. Their work appears in journals such as Journal of Medical Systems, Computer Standards & Interfaces, Expert Systems with Applications, Information Sciences and Telemedicine Journal and e-Health.

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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