Lin Liu

12.5k total citations · 1 hit paper
447 papers, 8.1k citations indexed

About

Lin Liu is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Lin Liu has authored 447 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Artificial Intelligence, 100 papers in Molecular Biology and 95 papers in Information Systems. Recurrent topics in Lin Liu's work include MicroRNA in disease regulation (40 papers), Bayesian Modeling and Causal Inference (35 papers) and Cancer-related molecular mechanisms research (33 papers). Lin Liu is often cited by papers focused on MicroRNA in disease regulation (40 papers), Bayesian Modeling and Causal Inference (35 papers) and Cancer-related molecular mechanisms research (33 papers). Lin Liu collaborates with scholars based in China, Australia and United States. Lin Liu's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lin Liu

415 papers receiving 7.8k citations

Hit Papers

The direction of causality between financial development ... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lin Liu China 42 2.3k 1.8k 1.6k 1.3k 805 447 8.1k
Jianbo Yang China 69 3.9k 1.7× 3.4k 1.9× 1.1k 0.7× 1.1k 0.9× 448 0.6× 633 21.0k
Wei Chen China 48 2.5k 1.1× 4.2k 2.3× 285 0.2× 2.3k 1.8× 620 0.8× 439 21.1k
Renaud Lambiotte United Kingdom 41 2.9k 1.2× 3.1k 1.7× 208 0.1× 1.4k 1.1× 1.1k 1.3× 150 19.6k
Jianqiang Li China 55 2.6k 1.1× 2.7k 1.5× 1.4k 0.9× 1.0k 0.8× 174 0.2× 495 11.8k
Zan Huang China 50 2.6k 1.1× 1.6k 0.9× 609 0.4× 1.5k 1.2× 229 0.3× 197 8.5k
Hao Zhang China 49 2.4k 1.0× 1.2k 0.7× 901 0.6× 356 0.3× 101 0.1× 489 8.6k
Vincent D. Blondel Belgium 43 2.6k 1.1× 3.6k 2.0× 205 0.1× 1.5k 1.2× 966 1.2× 150 21.9k
Ben Niu China 72 1.7k 0.7× 3.6k 2.0× 311 0.2× 741 0.6× 144 0.2× 1.1k 23.1k
Barry Smith United States 55 7.1k 3.0× 6.3k 3.5× 333 0.2× 1.0k 0.8× 301 0.4× 507 16.0k
Hawoong Jeong South Korea 40 4.3k 1.8× 1.2k 0.7× 103 0.1× 888 0.7× 976 1.2× 122 14.4k

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-authorship network of co-authors of Lin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Liu. A scholar is included among the top collaborators of Lin Liu 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 Liu. Lin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Lin, et al.. (2025). Dependency-based anomaly detection: A general framework and comprehensive evaluation. Expert Systems with Applications. 297. 129249–129249.
3.
Li, Junjie, Lin Peng, Daobin Zhou, et al.. (2024). Footprint family of China's coal-based synthetic natural gas industry. Energy. 312. 133560–133560. 3 indexed citations
4.
Cheng, Debo, et al.. (2024). Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11480–11488. 2 indexed citations
6.
Ye, Chen, Huifang Yang, Yifan Chen, et al.. (2024). Adopting Generative AI with Precaution in Dentistry: A Review and Reflection. 244–256. 1 indexed citations
7.
Yu, Kui, et al.. (2024). FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12235–12243. 3 indexed citations
8.
Liu, Liang, et al.. (2024). Defend against adversarial attacks in malware detection through attack space management. Computers & Security. 141. 103841–103841. 4 indexed citations
10.
Hao, Yong, et al.. (2023). Layered fully distributed formation-containment tracking control for multiple unmanned surface vehicles. Ocean Engineering. 270. 113658–113658. 21 indexed citations
11.
Yu, Kui, et al.. (2023). Feature Selection for Efficient Local-to-global Bayesian Network Structure Learning. ACM Transactions on Knowledge Discovery from Data. 18(2). 1–27. 5 indexed citations
12.
Kovanović, Vitomir, et al.. (2022). Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study. Computers and Education Artificial Intelligence. 3. 100051–100051. 25 indexed citations
13.
Pham, Vu, Lin Liu, Cameron P. Bracken, et al.. (2021). pDriver : a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinformatics. 37(19). 3285–3292. 9 indexed citations
14.
Pham, Vu, et al.. (2020). A pseudotemporal causality approach to identifying miRNA–mRNA interactions during biological processes. Bioinformatics. 37(6). 807–814. 2 indexed citations
15.
Pham, Vu, Lin Liu, Cameron P. Bracken, et al.. (2020). DriverGroup : a novel method for identifying driver gene groups. Bioinformatics. 36(Supplement_2). i583–i591. 5 indexed citations
16.
Pham, Vu, Xiaomei Li, Buu Truong, et al.. (2020). The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings in Bioinformatics. 22(3). 11 indexed citations
17.
Liu, Lin, et al.. (2019). A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs. 2565–2571. 15 indexed citations
18.
Zhang, Junpeng, Thuc Duy Le, Lin Liu, Jianfeng He, & Jiuyong Li. (2015). Identifying miRNA synergistic regulatory networks in heterogeneous human data via network motifs. Molecular BioSystems. 12(2). 454–463. 6 indexed citations
19.
20.
Liu, Lin. (1994). Exploration of spatial flow patterns using projection pursuit methods and dynamic visualization. OhioLink ETD Center (Ohio Library and Information Network). 2 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.

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