Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A novel gas turbine fault diagnosis method based on transfer learning with CNN
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).
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-authorship network of co-authors of Lin Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Lin Lin.
A scholar is included among the top collaborators of Lin Lin based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Lin Lin. Lin Lin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lin, Lin, et al.. (2025). FD-LLM: Large language model for fault diagnosis of complex equipment. Advanced Engineering Informatics. 65. 103208–103208.17 indexed citations breakdown →
Lin, Lin & Zhiying Chen. (2020). Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Rough Set Neural Networks and Vibration Signals. Diangong Jishu Xuebao. 35. 277–283.2 indexed citations
10.
Lin, Lin, et al.. (2019). Main safety issues in the processing and storage of peanut oil. Shipin anquan zhiliang jiance xuebao. 10(9). 2456–2461.1 indexed citations
11.
Lin, Lin, et al.. (2017). Conflict Detection Alarm Technology of UAV Using ADS-B. 32(6). 33–37.1 indexed citations
Lin, Lin. (2011). Study on acrylic copolymer emulsion for wood adhesives.
14.
Moudon, Anne Vernez, et al.. (2009). Risk of Pedestrian Injury and Fatality in Collisions with Motor Vehicles: An Ecological Study of State Routes and City Streets in King County, Washington. Transportation Research Board 88th Annual MeetingTransportation Research Board.2 indexed citations
15.
Lin, Lin & Mitsuo Gen. (2008). Auto-tuning Evolutionary Algorithm for a Capacitated QoS Model in Communication Network. 대한산업공학회 춘계공동학술대회 논문집. 2008. 1010–1013.
16.
Lin, Lin. (2008). The performance study on elastoplastic materials of expansion and contraction of bridge and culvert.1 indexed citations
17.
Lin, Lin. (2005). Research on profit distributive strategy of manufacturers and retailers in a supply chain. Journal of systems engineering.3 indexed citations
18.
Lin, Lin, et al.. (2004). Development Of A Braided Composite Drive Shaft with Captured End Fittings.
19.
Lin, Lin. (2004). Parameter estimation and data association for multitarget tracking. OpenCommons - UConn (University of Connecticut). 1(2202). 619–619.9 indexed citations
20.
Lin, Lin. (2002). The Sub-fuzzy-group and Normal Sub-fuzzy-group of Fuzzy Group.3 indexed citations
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.