Kaibo Liu

3.1k total citations · 1 hit paper
74 papers, 2.1k citations indexed

About

Kaibo Liu is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Kaibo Liu has authored 74 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Control and Systems Engineering, 23 papers in Statistics, Probability and Uncertainty and 21 papers in Artificial Intelligence. Recurrent topics in Kaibo Liu's work include Fault Detection and Control Systems (30 papers), Reliability and Maintenance Optimization (18 papers) and Advanced Statistical Process Monitoring (16 papers). Kaibo Liu is often cited by papers focused on Fault Detection and Control Systems (30 papers), Reliability and Maintenance Optimization (18 papers) and Advanced Statistical Process Monitoring (16 papers). Kaibo Liu collaborates with scholars based in United States, China and Hong Kong. Kaibo Liu's co-authors include Changyue Song, Jianjun Shi, Xi Zhang, Nagi Gebraeel, Xiaochen Xian, Abdallah Chehade, Shuai Huang, Lili Chen, Di Wang and Honghan Ye and has published in prestigious journals such as Technometrics, Environmental Health Perspectives and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Kaibo Liu

70 papers receiving 2.1k citations

Hit Papers

A Data-Level Fusion Model for Developing Composite Health... 2013 2026 2017 2021 2013 50 100 150 200 250
What are hit papers?

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.

  1. A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis
    2013 252 citations Kaibo Liu, Jianjun Shi et al. IEEE Transactions on Automation Science and Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaibo Liu United States 24 989 629 440 351 238 74 2.1k
Fadel M. Megahed United States 24 206 0.2× 100 0.2× 464 1.1× 274 0.8× 98 0.4× 71 2.1k
Enrique López Droguett United States 30 1.0k 1.1× 526 0.8× 732 1.7× 433 1.2× 716 3.0× 163 3.3k
Neil Eklund United States 17 1.1k 1.1× 482 0.8× 144 0.3× 330 0.9× 281 1.2× 53 2.1k
Jun Yang China 31 394 0.4× 1.4k 2.2× 1.0k 2.4× 138 0.4× 153 0.6× 135 2.5k
Marcantonio Catelani Italy 30 646 0.7× 411 0.7× 325 0.7× 269 0.8× 258 1.1× 217 2.6k
Shuai Huang United States 20 228 0.2× 140 0.2× 99 0.2× 460 1.3× 71 0.3× 110 1.6k
Debiao Meng China 27 219 0.2× 284 0.5× 989 2.2× 166 0.5× 405 1.7× 70 2.0k
Lorenzo Ciani Italy 30 567 0.6× 476 0.8× 356 0.8× 284 0.8× 252 1.1× 206 2.6k
Xiyuan Peng China 27 945 1.0× 466 0.7× 81 0.2× 609 1.7× 136 0.6× 227 2.7k
Ming Jin United States 27 770 0.8× 40 0.1× 78 0.2× 355 1.0× 134 0.6× 83 2.5k

Countries citing papers authored by Kaibo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kaibo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaibo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaibo Liu. A scholar is included among the top collaborators of Kaibo 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 Kaibo Liu. Kaibo 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, Kaibo, et al.. (2025). Online Monitoring of High-Dimensional Data Streams With Deep Q-Network. IEEE Transactions on Automation Science and Engineering. 22. 12606–12620. 1 indexed citations
2.
Ye, Honghan, et al.. (2024). Online Monitoring of Heterogeneous Partially Observable Data Streams Based on Q-Learning. IEEE Transactions on Automation Science and Engineering. 22. 4802–4817. 2 indexed citations
3.
Liu, Kaibo, et al.. (2024). An Integrated Uncertainty Quantification Model for Longitudinal and Time-to-Event Data. IEEE Transactions on Automation Science and Engineering. 22. 5863–5876. 3 indexed citations
4.
Sun, Jinwen, Shiyu Zhou, Dharmaraj Veeramani, & Kaibo Liu. (2024). Prediction of Condition Monitoring Signals Using Scalable Pairwise Gaussian Processes and Bayesian Model Averaging. IEEE Transactions on Automation Science and Engineering. 22. 2746–2757. 1 indexed citations
5.
Li, Jia, Ge Li, Yunfei Zhao, et al.. (2024). DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. 3603–3614. 15 indexed citations
6.
Zhang, Jiahui, et al.. (2024). Self-Starting Monitoring and Dynamic Sampling of High-Dimensional Data Streams. IEEE Transactions on Automation Science and Engineering. 22. 7897–7911.
7.
Liu, Kaibo, et al.. (2023). Instance Selection via Voronoi Neighbors for Binary Classification Tasks. IEEE Transactions on Knowledge and Data Engineering. 36(8). 3921–3933.
8.
Ye, Honghan, et al.. (2023). Online monitoring of high-dimensional asynchronous and heterogeneous data streams for shifts in location and scale. International Journal of Production Research. 62(3). 720–736. 9 indexed citations
9.
Cheng, Fan‐Tien, Chia‐Yen Lee, Min‐Hsiung Hung, et al.. (2022). Special Issue on Automation Analytics Beyond Industry 4.0: From Hybrid Strategy to Zero-Defect Manufacturing. IEEE Transactions on Automation Science and Engineering. 19(3). 1472–1476. 5 indexed citations
10.
Cheng, Jing-Ru C., et al.. (2021). An adaptive sensor selection framework for multisensor prognostics. Journal of Quality Technology. 53(5). 566–585. 9 indexed citations
11.
Liu, Kaibo, et al.. (2021). Transfer learning of memory kernels for transferable coarse-graining of polymer dynamics. Soft Matter. 17(24). 5864–5877. 18 indexed citations
12.
Song, Changyue, Kaibo Liu, & Xi Zhang. (2021). Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks. Journal of Machine Learning Research. 22(190). 1–45. 2 indexed citations
13.
Wang, Di, Fangyu Li, & Kaibo Liu. (2021). Modeling and monitoring of a multivariate spatio-temporal network system. IISE Transactions. 55(4). 331–347. 11 indexed citations
14.
Ma, Mingbo, Liang Huang, Hao Xiong, et al.. (2018). STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency. arXiv (Cornell University). 11 indexed citations
15.
Chehade, Abdallah, Changyue Song, Kaibo Liu, Abhinav Saxena, & Xi Zhang. (2018). A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes. Journal of Quality Technology. 50(2). 150–165. 65 indexed citations
16.
Rich, David Q., Kaibo Liu, Jinliang Zhang, et al.. (2015). Differences in Birth Weight Associated with the 2008 Beijing Olympics Air Pollution Reduction: Results from a Natural Experiment. Environmental Health Perspectives. 123(9). 880–887. 137 indexed citations
17.
Jin, Ran & Kaibo Liu. (2012). Multimode variation modeling and process monitoring for serial-parallel multistage manufacturing processes. IIE Transactions. 45(6). 617–629. 24 indexed citations
18.
Liu, Kaibo & Jianjun Shi. (2012). Objective-oriented optimal sensor allocation strategy for process monitoring and diagnosis by multivariate analysis in a Bayesian network. IIE Transactions. 45(6). 630–643. 27 indexed citations
19.
Liu, Kaibo. (2008). Distribution of Rh type of antigen of unpaid blood donors in Shaoguan area. Zhongguo redai yixue. 1 indexed citations
20.
Liu, Kaibo. (2008). Distribution of ABO,Rh,MN,P and Jk~(a-b-) Blood Groups in Population in Shao guan Prefecture,Guangdong Province,China. Zhongguo shengwuzhipinxue zazhi. 1 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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