Chen Lin

21 papers receiving 219 citations

Peers

Chen Lin
Comparison fields: 5 of 59
  • Software 22
  • Safety, Risk, Reliability and Quality 40
  • Bioengineering 23
  • Statistics, Probability and Uncertainty 27
  • Spectroscopy 51
Replace Lu Qian with:
Lu Qian China
Jinyong Wang China
Andreas Schulze Germany
Igor Ushakov Russia
Mike Barth Germany
Niels Jensen Denmark
Simon Foster United Kingdom
Marco Franke Germany
Kazuki Yoshizoe Japan
Zhexuan Song United States
Chen Lin relative to Lu Qian China Lu Qian's profile →
Citations per field
00.5×4.4×
Lu Qian · 1×
Citations per year

Countries citing papers authored by Chen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Chen Lin, 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 Chen Lin Line = papers co-authored together Chen Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200748
2 202125
3 201925
4 202122
5 202019
6 202014
7
A randomized controlled trial of a patient-accessible electronic medical record.
200313
8 200712
9 202311
10 20208
11 20067
12 20154
13 20114
14 20193
15 20103
16
An Enhanced NEH Method in Solving Permutation Flow Shop Problem
20072
17 20052
18
A Distributed Tree-Based Energy-Efficient Algorithm for Precise Data Gathering in Wireless Sensor Networks
20131
19
Cryptanalysis and improvement for two certificateless proxy signature schemes
20131
20
Virtual Private Network and Security of Information
20011

About Chen Lin

Chen Lin is a scholar working on Information Systems, Computer Networks and Communications, Civil and Structural Engineering, Molecular Biology and Artificial Intelligence, having authored 26 papers that have together received 226 indexed citations. Recurring topics across this work include Infrastructure Resilience and Vulnerability Analysis (4 papers), Information and Cyber Security (3 papers), Risk and Safety Analysis (2 papers), Cryptography and Data Security (2 papers), Molecular Sensors and Ion Detection (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Mobile Agent-Based Network Management (2 papers) and Optimization and Packing Problems (2 papers). The work is most often cited by research in Software (22 citations), Safety, Risk, Reliability and Quality (40 citations), Bioengineering (23 citations), Statistics, Probability and Uncertainty (27 citations) and Spectroscopy (51 citations). Chen Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Rui Peng, Hui Xiao, Dale G. Drueckhammer, Vladimir Simov, Gang Kou, Jianjun Guo, Yisha Xiang, Stephen E. Ross, Yu Huang and Beihong Jin. Their work appears in journals such as Reliability Engineering & System Safety, New Journal of Chemistry, The Journal of Organic Chemistry, Measurement and Journal of Mechanical Engineering.

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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