Chin‐Ling Chen

3.6k citations
213 papers · 2.4k · h-index 26

Impact in

Papers in

Chin‐Ling Chen

197 papers receiving 2.3k citations

Peers

Chin‐Ling Chen
Comparison fields: 5 of 129
  • Information Systems 1.2k
  • Computer Networks and Communications 1.1k
  • Media Technology 210
  • Artificial Intelligence 702
  • Computer Vision and Pattern Recognition 434
Replace Sohail Jabbar with:
Sohail Jabbar Pakistan
Uttam Ghosh United States
Shayla Islam Malaysia
Liang Tan China
Kai Fan China
Subhi R. M. Zeebaree Iraq
Saqib Hakak Canada
Hasan Ali Khattak Pakistan
Muhammad Bilal South Korea
Stathes Hadjiefthymiades Greece
Chin‐Ling Chen relative to Sohail Jabbar Pakistan Sohail Jabbar's profile →
Citations per field
00.5×1.5×2.3×
Sohail Jabbar · 1×
Citations per year

Countries citing papers authored by Chin‐Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Ling 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 Chin‐Ling Chen. The network helps show where Chin‐Ling Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201789
2 201187
3 202285
4 200982
5 202065
6 201158
7 201454
8 201750
9 202050
10 202248
11 201446
12 202240
13 202140
14 201939
15 200733
16 202131
17 201731
18 202231
19 202230
20 200430

About Chin‐Ling Chen

Chin‐Ling Chen is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 213 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (59 papers), User Authentication and Security Systems (45 papers), Blockchain Technology Applications and Security (44 papers), Cryptography and Data Security (38 papers), Advanced Steganography and Watermarking Techniques (21 papers), Internet Traffic Analysis and Secure E-voting (20 papers), Cloud Data Security Solutions (19 papers) and IoT and Edge/Fog Computing (17 papers). The work is most often cited by research in Information Systems (1.2k citations), Computer Networks and Communications (1.1k citations), Media Technology (210 citations), Artificial Intelligence (702 citations) and Computer Vision and Pattern Recognition (434 citations). Chin‐Ling Chen has collaborated with scholars based in Taiwan, China and Brunei. Frequent co-authors include Yong‐Yuan Deng, Cheng‐Chi Lee, Chun‐Ta Li, Wei Weng, Chih-Ming Wu, Woei-Jiunn Tsaur, Tzay-Farn Shih, Mueen Uddin, Jinn‐Ke Jan and Mao‐Lun Chiang. Their work appears in journals such as Sensors, Symmetry, IEEE Access, Applied Sciences and Sustainability.

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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