Ran Liu

1.7k total citations
71 papers, 1.1k citations indexed

About

Ran Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ran Liu has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Ran Liu's work include Intelligent Tutoring Systems and Adaptive Learning (10 papers), Online Learning and Analytics (7 papers) and Machine Learning in Healthcare (6 papers). Ran Liu is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (10 papers), Online Learning and Analytics (7 papers) and Machine Learning in Healthcare (6 papers). Ran Liu collaborates with scholars based in China, United States and United Kingdom. Ran Liu's co-authors include Juanying Xie, Joseph Luttrell, Chaoyang Zhang, Kenneth R. Koedinger, Zhong Fan, Elizabeth A. McLaughlin, Yuepu Pu, Lihong Yin, Raimond L. Winslow and Joseph L. Greenstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Ran Liu

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ran Liu China 17 465 156 149 138 120 71 1.1k
Xiaoying Gao New Zealand 19 421 0.9× 239 1.5× 38 0.3× 81 0.6× 26 0.2× 93 1.4k
Fan Zhang China 20 201 0.4× 119 0.8× 227 1.5× 111 0.8× 59 0.5× 135 1.7k
Chaoyang Zhang China 19 427 0.9× 197 1.3× 65 0.4× 317 2.3× 20 0.2× 80 1.3k
Hongkai Wang China 17 147 0.3× 194 1.2× 81 0.5× 132 1.0× 33 0.3× 171 1.3k
Junaid Baber Pakistan 18 305 0.7× 75 0.5× 103 0.7× 232 1.7× 65 0.5× 52 1.3k
Tam T. Nguyen United States 15 103 0.2× 29 0.2× 37 0.2× 89 0.6× 38 0.3× 47 1.4k
Lichuan Liu United States 26 70 0.2× 39 0.3× 56 0.4× 31 0.2× 130 1.1× 109 2.1k
Tae‐Seong Kim South Korea 23 590 1.3× 369 2.4× 78 0.5× 555 4.0× 149 1.2× 92 2.3k
Antti Airola Finland 22 774 1.7× 60 0.4× 152 1.0× 95 0.7× 53 0.4× 84 2.1k
Kira Radinsky Israel 21 828 1.8× 20 0.1× 43 0.3× 112 0.8× 55 0.5× 61 1.5k

Countries citing papers authored by Ran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Liu. A scholar is included among the top collaborators of Ran 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 Ran Liu. Ran 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.
2.
Wang, Mingzhao, Ran Liu, Joseph Luttrell, Chaoyang Zhang, & Juanying Xie. (2025). Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset. Journal of Multidisciplinary Healthcare. Volume 18. 675–695. 2 indexed citations
3.
4.
Liu, Ran, Ming Liu, He Zhang, et al.. (2024). SumSurvey: An Abstractive Dataset of Scientific Survey Papers for Long Document Summarization. 9632–9651. 2 indexed citations
5.
6.
Wang, Yuang, Ran Liu, Bill Ling, et al.. (2023). Competition between C–C and C–H Bond Fluorination: A Continuum of Electron Transfer and Hydrogen Atom Transfer Mechanisms. Journal of the American Chemical Society. 145(41). 22442–22455. 13 indexed citations
7.
Liu, Ran, et al.. (2021). Prediction of Impending Septic Shock in Children With Sepsis. Critical Care Explorations. 3(6). e0442–e0442. 11 indexed citations
8.
Wang, Qi, Ran Liu, Mulin Chen, & Xuelong Li. (2021). Robust Rank-Constrained Sparse Learning: A Graph-Based Framework for Single View and Multiview Clustering. IEEE Transactions on Cybernetics. 52(10). 10228–10239. 23 indexed citations
9.
Kim, Han, Eric Sung, Ran Liu, et al.. (2021). Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series. Anaesthesia Critical Care & Pain Medicine. 41(1). 101015–101015. 11 indexed citations
10.
Liu, Ran, Joseph L. Greenstein, James C. Fackler, Melania M. Bembea, & Raimond L. Winslow. (2020). Spectral clustering of risk score trajectories stratifies sepsis patients by clinical outcome and interventions received. eLife. 9. 16 indexed citations
11.
Liu, Ran, Joseph L. Greenstein, Stephen J. Granite, et al.. (2019). Data-driven discovery of a novel sepsis pre-shock state predicts impending septic shock in the ICU. Scientific Reports. 9(1). 6145–6145. 60 indexed citations
12.
Liu, Ran, Kenneth R. Koedinger, John Stamper, & Philip I. Pavlik. (2017). Sharing and Reusing Data and Analytic Methods with LearnSphere.. Educational Data Mining. 2 indexed citations
13.
Fan, Zhong & Ran Liu. (2017). Investigation of machine learning based network traffic classification. 1–6. 64 indexed citations
14.
Liu, Ran, et al.. (2016). Biomarkers of atherosclerotic plaque vulnerability and their clinical significance. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Asselah, Tarik, Christophe Hézode, Neddie Zadeikis, et al.. (2016). ENDURANCE-4: Efficacy and Safety of ABT-493/ABT-530 Treatment in Patients with Chronic HCV Genotype 4, 5, or 6 Infection. Hepatology. 63. 7 indexed citations
16.
Liu, Ran, Jodi L. Davenport, & John Stamper. (2016). Beyond Log Files: Using Multi-Modal Data Streams towards Data-Driven KC Model Improvement.. Educational Data Mining. 436–441. 5 indexed citations
17.
Liu, Ran, et al.. (2015). Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning.. Educational Data Mining. 53–60. 6 indexed citations
18.
Liu, Ran, Elizabeth A. McLaughlin, & Kenneth R. Koedinger. (2014). Interpreting model discovery and testing generalization to a new dataset.. Educational Data Mining. 107–113. 17 indexed citations
19.
Liu, Ran, Xueyan Zhang, Yuepu Pu, et al.. (2010). Small-Sized Titanium Dioxide Nanoparticles Mediate Immune Toxicity in Rat Pulmonary Alveolar Macrophages <I>In Vivo</I>. Journal of Nanoscience and Nanotechnology. 10(8). 5161–5169. 70 indexed citations
20.
Liang, Geyu, et al.. (2009). Influence of Different Sizes of Titanium Dioxide Nanoparticles on Hepatic and Renal Functions in Rats with Correlation to Oxidative Stress. Journal of Toxicology and Environmental Health. 72(11-12). 740–745. 68 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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