Kaibo Wang

2.8k total citations · 1 hit paper
111 papers, 2.1k citations indexed

About

Kaibo Wang is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Kaibo Wang has authored 111 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistics, Probability and Uncertainty, 31 papers in Control and Systems Engineering and 19 papers in Industrial and Manufacturing Engineering. Recurrent topics in Kaibo Wang's work include Advanced Statistical Process Monitoring (40 papers), Fault Detection and Control Systems (25 papers) and Advanced Statistical Methods and Models (13 papers). Kaibo Wang is often cited by papers focused on Advanced Statistical Process Monitoring (40 papers), Fault Detection and Control Systems (25 papers) and Advanced Statistical Methods and Models (13 papers). Kaibo Wang collaborates with scholars based in China, United States and Hong Kong. Kaibo Wang's co-authors include Fugee Tsung, Wei Jiang, Hongkai Jiang, Xiaoning Ding, Rubao Lee, Ke Zhao, Zhe Sun, Yaohui Lv, Arthur B. Yeh and Xiaodong Zhang and has published in prestigious journals such as Technometrics, Chemical Engineering Journal and Nano Energy.

In The Last Decade

Kaibo Wang

104 papers receiving 2.0k citations

Hit Papers

Joint distribution adaptation network with adversarial le... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaibo Wang China 26 633 543 474 363 349 111 2.1k
Nagi Gebraeel United States 35 801 1.3× 2.3k 4.2× 816 1.7× 109 0.3× 698 2.0× 85 4.6k
J.B. Dugan United States 37 2.0k 3.1× 615 1.1× 80 0.2× 654 1.8× 128 0.4× 151 4.6k
Soumaya Yacout Canada 23 218 0.3× 553 1.0× 385 0.8× 136 0.4× 112 0.3× 99 1.7k
Jun Yang China 31 1.0k 1.6× 394 0.7× 153 0.3× 137 0.4× 424 1.2× 135 2.5k
Lee J. Wells United States 16 183 0.3× 157 0.3× 139 0.3× 73 0.2× 69 0.2× 43 833
Mark Schwabacher United States 15 174 0.3× 780 1.4× 179 0.4× 283 0.8× 102 0.3× 45 1.8k
Xiao He China 37 235 0.4× 3.2k 5.9× 477 1.0× 1.5k 4.2× 77 0.2× 167 4.4k
Robert H. Storer United States 21 360 0.6× 1.3k 2.4× 767 1.6× 329 0.9× 21 0.1× 44 3.2k
Ningyun Lu China 33 413 0.7× 2.7k 4.9× 1.3k 2.7× 80 0.2× 49 0.1× 166 3.5k
Fan‐Tien Cheng Taiwan 32 242 0.4× 1.1k 2.0× 565 1.2× 211 0.6× 15 0.0× 202 3.0k

Countries citing papers authored by Kaibo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kaibo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaibo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaibo Wang. A scholar is included among the top collaborators of Kaibo Wang 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 Wang. Kaibo Wang 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
2.
Sun, Wei, et al.. (2025). Ship re-identification in foggy weather: A two-branch network with dynamic feature enhancement and dual attention. Engineering Applications of Artificial Intelligence. 143. 109974–109974.
3.
Song, Sijia, Yingying Lin, Peng Xue, et al.. (2025). Pilot-scale co-enrichment of beta-casein and whey protein from skim milk via ceramic membrane cold microfiltration. Applied Food Research. 5(1). 100942–100942.
4.
Wang, Kaibo, Xiufeng Xu, Yulin Li, et al.. (2025). Nitrile-functionalized covalent organic framework aerogels: dual-role components for high-performance lithium-sulfur batteries. Journal of Polymer Research. 32(10).
5.
Yang, Jinge, et al.. (2024). Construction of multi-transition metal sulphides and its superiority for degradation of carbamazepine by activation of peroxymonosulfate. Colloids and Surfaces A Physicochemical and Engineering Aspects. 704. 135444–135444. 3 indexed citations
6.
Zhang, Chen, et al.. (2024). Coupled Epidemic-Information Propagation With Stranding Mechanism on Multiplex Metapopulation Networks. IEEE Transactions on Computational Social Systems. 11(5). 6727–6744. 8 indexed citations
7.
Xu, Jun, et al.. (2024). Bayesian Online Change Detection of Multimode Processes With Application to Wind Turbines. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 2 indexed citations
8.
Wu, Hao, et al.. (2023). Modeling and monitoring multilayer attributed weighted directed networks via a generative model. IISE Transactions. 56(8). 902–914. 3 indexed citations
9.
Wang, Hao, Qiong Zhang, Kaibo Wang, & Xinwei Deng. (2020). A statistics-guided approach to dimensional quality characterization of free-form surfaces with an application to 3D printing. Quality Engineering. 32(4). 721–739. 1 indexed citations
10.
Yuan, Yuan, et al.. (2016). Spark-GPU: An accelerated in-memory data processing engine on clusters. IEEE Conference Proceedings. 2016. 283. 1 indexed citations
11.
Xie, Huiliang, et al.. (2014). Optimal setup adjustment and control of a process under ARMA disturbances. RePEc: Research Papers in Economics. 47(3). 230–244. 1 indexed citations
12.
Yeh, Arthur B., Bo Li, & Kaibo Wang. (2012). Monitoring multivariate process variability with individual observations via penalised likelihood estimation. International Journal of Production Research. 50(22). 6624–6638. 39 indexed citations
13.
Li, Bo, Kaibo Wang, & Arthur B. Yeh. (2012). Monitoring the covariance matrix via penalized likelihood estimation. IIE Transactions. 45(2). 132–146. 49 indexed citations
14.
Wang, Kaibo. (2011). Dependable Approach to Supporting Service Composition′s QoS. Journal of Chinese Computer Systems.
15.
Tsung, Fugee & Kaibo Wang. (2010). Adaptive Charting Techniques. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1 indexed citations
16.
Wang, Kaibo. (2010). SWOT analysis of army equipment knowledge management strategy. Information technology newsletter. 1 indexed citations
17.
Han, Dong, et al.. (2010). A NONLINEAR FILTER CONTROL CHART FOR DETECTING DYNAMIC CHANGES. Statistica Sinica. 20(3). 1077–1096. 4 indexed citations
18.
Lin, Jing & Kaibo Wang. (2010). Online parameter estimation and run-to-run process adjustment using categorical observations. International Journal of Production Research. 49(13). 4103–4117. 12 indexed citations
19.
Wang, Kaibo & Fugee Tsung. (2008). An Adaptive T 2 Chart for Monitoring Dynamic Systems. Journal of Quality Technology. 40(1). 109–123. 17 indexed citations
20.
Han, Dong, et al.. (2007). CUSUM and EWMA multi-charts for detecting a range of mean shifts. Statistica Sinica. 17(3). 1139–1164. 28 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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