Ruomu Tan

544 total citations
27 papers, 408 citations indexed

About

Ruomu Tan is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ruomu Tan has authored 27 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 13 papers in Mechanical Engineering and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ruomu Tan's work include Fault Detection and Control Systems (23 papers), Mineral Processing and Grinding (13 papers) and Advanced Statistical Process Monitoring (9 papers). Ruomu Tan is often cited by papers focused on Fault Detection and Control Systems (23 papers), Mineral Processing and Grinding (13 papers) and Advanced Statistical Process Monitoring (9 papers). Ruomu Tan collaborates with scholars based in United Kingdom, Poland and China. Ruomu Tan's co-authors include James R. Ottewill, Yi Zheng, Shaoyuan Li, Nina F. Thornhill, Yi Cao, Jerzy Baranowski, Biao Huang, Hariprasad Kodamana, Yujia Zhao and Sören Finster and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ruomu Tan

26 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruomu Tan United Kingdom	10	336	116	103	66	56	27	408
Lianfang Cai China	10	353 1.1×	180 1.6×	75 0.7×	54 0.8×	48 0.9×	24	424
Lamiaa M. Elshenawy Egypt	10	240 0.7×	121 1.0×	44 0.4×	63 1.0×	48 0.9×	15	304
Willy Wojsznis United States	13	333 1.0×	89 0.8×	47 0.5×	40 0.6×	51 0.9×	27	439
Siwei Lou China	12	261 0.8×	216 1.9×	24 0.2×	74 1.1×	42 0.8×	47	405
Jingxin Zhang China	11	281 0.8×	137 1.2×	17 0.2×	80 1.2×	63 1.1×	23	344
Ketan P. Detroja India	10	307 0.9×	82 0.7×	122 1.2×	34 0.5×	24 0.4×	41	393
Ramesh Kadali Canada	10	526 1.6×	86 0.7×	28 0.3×	50 0.8×	58 1.0×	22	587
Guoxi Sun China	6	472 1.4×	263 2.3×	47 0.5×	90 1.4×	23 0.4×	15	557
Feifan Shen China	13	349 1.0×	152 1.3×	25 0.2×	137 2.1×	36 0.6×	34	515
Feiya Lv China	8	270 0.8×	156 1.3×	24 0.2×	62 0.9×	27 0.5×	15	321

Countries citing papers authored by Ruomu Tan

Since Specialization

Citations

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

Fields of papers citing papers by Ruomu Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruomu Tan

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

All Works

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20 of 20 papers shown

Tan, Ruomu, et al.. (2024). Towards a benchmark dataset for large language models in the context of process automation. SHILAP Revista de lepidopterología. 13. 100186–100186. 1 indexed citations

Tan, Ruomu, et al.. (2024). Out of Bounds Anomaly Scores (OBAS) in Smart Failure Detection in Variable Frequency Drives. IEEE Transactions on Industry Applications. 60(5). 6988–7000. 1 indexed citations

Zhao, Shunyi, et al.. (2023). Robustification of Finite Impulse Response Filter for Nonlinear Systems With Model Uncertainties. IEEE Transactions on Instrumentation and Measurement. 72. 1–9. 1 indexed citations

Tan, Ruomu, et al.. (2023). Machine Learning Approaches for Phase Identification Using Process Variables in Batch Processes. Chemie Ingenieur Technik. 95(7). 989–1002. 2 indexed citations

Tan, Ruomu, et al.. (2023). Performance of Machine-Learning-Based Algorithms for Anomaly Detection in Variable Frequency Drives Using Temperature Signals. 317–323. 2 indexed citations

Beilina, Larisa, et al.. (2022). Change Point Detection for Process Data Analytics Applied to a Multiphase Flow Facility. Computer Modeling in Engineering & Sciences. 134(3). 1737–1759. 1 indexed citations

Malakuti, Somayeh, Sten Grüner, Sören Finster, et al.. (2021). Developing Industrial CPS: A Multi-Disciplinary Challenge. Sensors. 21(6). 1991–1991. 26 indexed citations

Schmidt, Benedikt, et al.. (2021). Efficient Process for Batch Analysis. Chemie Ingenieur Technik. 93(12). 1955–1967. 1 indexed citations

Tan, Ruomu, et al.. (2020). Anomaly Detection and Mode Identification in Multimode Processes Using the Field Kalman Filter. IEEE Transactions on Control Systems Technology. 29(5). 2192–2205. 17 indexed citations

10.

Tan, Ruomu, et al.. (2020). An on-line framework for monitoring nonlinear processes with multiple operating modes. Journal of Process Control. 89. 119–130. 24 indexed citations

11.

Tan, Ruomu, et al.. (2020). Data analytics approach for online produced fluid flow rate estimation in SAGD process. Computers & Chemical Engineering. 136. 106766–106766. 9 indexed citations

12.

Tan, Ruomu, et al.. (2019). Statistical Monitoring of Processes with Multiple Operating Modes. IFAC-PapersOnLine. 52(1). 635–642. 4 indexed citations

13.

Tan, Ruomu, James R. Ottewill, & Nina F. Thornhill. (2019). Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3670–3681. 29 indexed citations

14.

Tan, Ruomu, et al.. (2019). A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study. Journal of Process Control. 79. 41–55. 50 indexed citations

15.

Tan, Ruomu, et al.. (2018). Analytics of Heterogeneous Process Data: Multiphase Flow Facility Case Study. IFAC-PapersOnLine. 51(18). 363–368. 8 indexed citations

16.

Tan, Ruomu & Yi Cao. (2018). Deviation Contribution Plots of Multivariate Statistics. IEEE Transactions on Industrial Informatics. 15(2). 833–841. 16 indexed citations

17.

Tan, Ruomu & Yi Cao. (2017). Contribution plots based fault diagnosis of a multiphase flow facility with PCA-enhancec canonical variate analysis. 17. 1–6. 3 indexed citations

18.

Kodamana, Hariprasad, et al.. (2017). Robust soft sensor development using multi-rate measurements. IFAC-PapersOnLine. 50(1). 10190–10195. 6 indexed citations

19.

Tan, Ruomu. (2016). Data-driven Modelling for Process Identification with Flat-topped Gaussian Uncertainty. University of Alberta Library. 3 indexed citations

20.

Tan, Ruomu, Biao Huang, & Zukui Li. (2016). Estimation of Flat‐topped Gaussian distribution with application in system identification. Journal of Chemometrics. 30(12). 726–738. 3 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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