Lin Liu

12.5k citations
447 papers · 8.1k · 1 hit paper · h-index 42

Impact in

Papers in

Lin Liu

415 papers receiving 7.8k citations

Lin Liu's Hit Papers

The direction of causality between financial development and economic growth 2003 · 798 citations
7980+7+15Years since publication250500750

Peers

Lin Liu
Comparison fields: 5 of 212
  • Cancer Research 1.6k
  • Information Systems 1.3k
  • Artificial Intelligence 1.8k
  • Acoustics and Ultrasonics 40
  • Computer Science Applications 236
Replace Jianbo Yang with:
Jianbo Yang China
Ben Niu China
Vincent D. Blondel Belgium
Wei Chen China
Peter J. Bickel United States
Renaud Lambiotte United Kingdom
Qing Li China
Jianqiang Li China
Jean‐Loup Guillaume France
Yongdong Zhang China
Lin Liu relative to Jianbo Yang China Jianbo Yang's profile →
Citations per field
00.5×5.0×
Jianbo Yang · 1×
Citations per year

Countries citing papers authored by Lin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 447 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The direction of causality between financial development and economic growth
Hit paper breakdown →
2003798
2 2016252
3 2010240
4 2015186
5 2011163
6 2017162
7 2018145
8 2004143
9 2020122
10 2010120
11 2020112
12 2011110
13 2016107
14 2020101
15 201989
16 201785
17 201682
18 201681
19 201375
20 201471

About Lin Liu

Lin Liu is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Cancer Research and Computer Networks and Communications, having authored 447 papers that have together received 8.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (40 papers), Bayesian Modeling and Causal Inference (35 papers), Cancer-related molecular mechanisms research (33 papers), RNA Research and Splicing (29 papers), RNA modifications and cancer (26 papers), Advanced Software Engineering Methodologies (18 papers), Software Engineering Techniques and Practices (17 papers) and Advanced Causal Inference Techniques (16 papers). The work is most often cited by research in Cancer Research (1.6k citations), Information Systems (1.3k citations), Artificial Intelligence (1.8k citations), Acoustics and Ultrasonics (40 citations) and Computer Science Applications (236 citations). Lin Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiuyong Li, César Calderón, Thuc Duy Le, Kui Yu, Junpeng Zhang, Kim‐Kwang Raymond Choo, Yangjian Cai, Jixue Liu, Fei Wang and Lin Tang. Their work appears in journals such as BMC Bioinformatics, Optics Express, Bioinformatics, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data 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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