Linlin Chen

578 citations
14 papers · 398 · h-index 9

Impact in

Papers in

Linlin Chen

13 papers receiving 389 citations

Peers

Linlin Chen
Comparison fields: 5 of 54
  • Artificial Intelligence 276
  • Computer Graphics and Computer-Aided Design 29
  • Computer Science Applications 33
  • Information Systems 115
  • Signal Processing 55
Replace Vinod Anupam with:
Vinod Anupam United States
Dongyeop Kang United States
Andreas Henrich Germany
Bruno Bouzy France
Louis Feng United States
Steve Rabin United States
Mary Campione
Jamie Hayes United Kingdom
Rakesh Chandra Balabantaray India
Xavier Bonnaire Chile
Linlin Chen relative to Vinod Anupam United States Vinod Anupam's profile →
Citations per field
00.5×20×40×55×
Vinod Anupam · 1×
Citations per year

Countries citing papers authored by Linlin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Linlin 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 Linlin Chen Line = papers co-authored together Linlin Chen links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201674
2 201769
3 201750
4 199348
5 201839
6 201639
7 201832
8 201917
9 202015
10 20197
11 19974
12 20183
13 20201
14 19960

About Linlin Chen

Linlin Chen is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 14 papers that have together received 398 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (3 papers), Privacy, Security, and Data Protection (3 papers), Computational Geometry and Mesh Generation (3 papers), Ethics and Social Impacts of AI (2 papers), Blockchain Technology Applications and Security (2 papers), Speech Recognition and Synthesis (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Artificial Intelligence (276 citations), Computer Graphics and Computer-Aided Design (29 citations), Computer Science Applications (33 citations), Information Systems (115 citations) and Signal Processing (55 citations). Linlin Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jianwei Qian, Xiang‐Yang Li, Taeho Jung, Chunhong Zhang, Jiahui Hou, Junze Han, Shuo‐Yan Chou, Tony C. Woo, Wenchao Huang and Yu Wang. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Graphics, IEEE Journal on Selected Areas in Communications, The Visual Computer and Computer-Aided Design.

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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