Lin Lin

2.2k citations
115 papers · 1.6k indexed · 1 hit paper · h-index 21

Impact in

Papers in

Lin Lin

105 papers receiving 1.5k citations

Hit Papers

Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines 2024 · 74 citations
74202420262025204060

Peers

Lin Lin
Comparison fields: 5 of 121
  • Management Science and Operations Research 443
  • Control and Systems Engineering 654
  • Statistics and Probability 127
  • Medical Laboratory Technology 23
  • Safety, Risk, Reliability and Quality 125
Replace Piero P. Bonissone with:
Piero P. Bonissone United States
Kuo-Ping Lin Taiwan
Shing I. Chang United States
Long Zhao United States
Genbao Zhang China
Pratyush Sen United Kingdom
Soumaya Yacout Canada
Lin Lin China
Tarıq Samad United States
James P. Ignizio United States
Lin Lin relative to Piero P. Bonissone United States Piero P. Bonissone's profile →
Citations per field
00.5×9.4×
Piero P. Bonissone · 1×
Citations per year

Countries citing papers authored by Lin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20246
4 20240
5 202429
6 20247
7 20246
8 20243
9 202412
10 20235
11 202339
12 20231
13 20235
14 20232
15 20232
16 202113
17 202017
18 20191
19
Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks.
20162
20
Methodology for implementing Petri Nets with UML
20041

About Lin Lin

Lin Lin is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Artificial Intelligence, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering, having authored 115 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (24 papers), Fault Detection and Control Systems (21 papers), Anomaly Detection Techniques and Applications (12 papers), Neural Networks and Applications (10 papers), Engineering Diagnostics and Reliability (8 papers), Advanced Graph Neural Networks (7 papers), Advanced Measurement and Detection Methods (6 papers) and Reliability and Maintenance Optimization (6 papers). The work is most often cited by research in Management Science and Operations Research (443 citations), Control and Systems Engineering (654 citations), Statistics and Probability (127 citations), Medical Laboratory Technology (23 citations) and Safety, Risk, Reliability and Quality (125 citations). Lin Lin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shisheng Zhong, Zun-Quan Xia, Xue-hai Yuan, Song Fu, Minghang Zhao, Xiaolong Xie, Fang Wang, Xuyun Fu, Feng Guo and Bin Luo. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Knowledge-Based Systems, Expert Systems with Applications, Measurement and Reliability Engineering & System Safety.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026