R. Bhushan Gopaluni

5.2k total citations · 1 hit paper
176 papers, 3.8k citations indexed

About

R. Bhushan Gopaluni is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, R. Bhushan Gopaluni has authored 176 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Control and Systems Engineering, 39 papers in Artificial Intelligence and 26 papers in Mechanical Engineering. Recurrent topics in R. Bhushan Gopaluni's work include Fault Detection and Control Systems (99 papers), Advanced Control Systems Optimization (58 papers) and Control Systems and Identification (46 papers). R. Bhushan Gopaluni is often cited by papers focused on Fault Detection and Control Systems (99 papers), Advanced Control Systems Optimization (58 papers) and Control Systems and Identification (46 papers). R. Bhushan Gopaluni collaborates with scholars based in Canada, United States and China. R. Bhushan Gopaluni's co-authors include Aditya Tulsyan, Sirish L. Shah, Philip D. Loewen, Richard D. Braatz, Michael G. Forbes, Rohit S. Patwardhan, Yankai Cao, Steven Spielberg, Nathan P. Lawrence and Lalo Magni and has published in prestigious journals such as Nature Communications, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

R. Bhushan Gopaluni

167 papers receiving 3.6k citations

Hit Papers

Data-driven capacity estimation of commercial lithium-ion... 2022 2026 2023 2024 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Bhushan Gopaluni Canada 30 2.0k 1.1k 988 603 410 176 3.8k
Achmad Widodo Indonesia 20 2.2k 1.1× 556 0.5× 361 0.4× 390 0.6× 1.2k 2.9× 106 3.4k
Qiang Miao China 37 3.6k 1.8× 1.8k 1.6× 2.0k 2.0× 511 0.8× 1.9k 4.6× 207 6.2k
Marcos E. Orchard Chile 35 2.4k 1.2× 1.3k 1.1× 1.3k 1.3× 406 0.7× 717 1.7× 179 4.2k
Abhinav Saxena United States 35 2.9k 1.5× 982 0.9× 919 0.9× 604 1.0× 992 2.4× 116 5.1k
Kang Li United Kingdom 40 1.5k 0.7× 3.5k 3.1× 2.5k 2.5× 1.1k 1.8× 563 1.4× 271 6.3k
Yu Peng China 31 1.5k 0.7× 2.2k 1.9× 2.1k 2.2× 526 0.9× 258 0.6× 197 4.4k
Zhiwen Chen China 32 2.2k 1.1× 819 0.7× 182 0.2× 545 0.9× 1.1k 2.6× 212 3.6k
Hazem Nounou Qatar 32 2.2k 1.1× 737 0.6× 143 0.1× 634 1.1× 740 1.8× 239 3.5k
Tao Peng China 26 1.5k 0.7× 1.3k 1.2× 149 0.2× 576 1.0× 613 1.5× 178 3.1k
S. Andrew Gadsden Canada 29 1.2k 0.6× 765 0.7× 552 0.6× 1.2k 2.0× 484 1.2× 234 3.5k

Countries citing papers authored by R. Bhushan Gopaluni

Since Specialization
Citations

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

Fields of papers citing papers by R. Bhushan Gopaluni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Bhushan Gopaluni. 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 R. Bhushan Gopaluni. The network helps show where R. Bhushan Gopaluni may publish in the future.

Co-authorship network of co-authors of R. Bhushan Gopaluni

This figure shows the co-authorship network connecting the top 25 collaborators of R. Bhushan Gopaluni. A scholar is included among the top collaborators of R. Bhushan Gopaluni 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 R. Bhushan Gopaluni. R. Bhushan Gopaluni 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.
Shah, Sirish L., et al.. (2025). Time series representation learning via cross-domain predictive and contextual contrasting: Application to fault detection. Engineering Applications of Artificial Intelligence. 154. 110914–110914. 2 indexed citations
2.
Cao, Liang, Jianping Su, Jack Saddler, et al.. (2024). Real-time tracking of renewable carbon content with AI-aided approaches during co-processing of biofeedstocks. Applied Energy. 360. 122815–122815. 6 indexed citations
3.
Hu, Wenkai, et al.. (2024). A multi-feature-based fault diagnosis method based on the weighted timeliness broad learning system. Process Safety and Environmental Protection. 183. 231–243. 14 indexed citations
4.
Xu, Yang, et al.. (2023). Evaluation of logistic regression and support vector machine approaches for XRF based particle sorting for a copper ore. Minerals Engineering. 192. 108003–108003. 32 indexed citations
5.
Wang, Yixiu, Jiangong Zhu, Liang Cao, R. Bhushan Gopaluni, & Yankai Cao. (2023). Long Short-Term Memory Network with Transfer Learning for Lithium-ion Battery Capacity Fade and Cycle Life Prediction. Applied Energy. 350. 121660–121660. 36 indexed citations
6.
Daoutidis, Pródromos, Jay H. Lee, Srinivas Rangarajan, et al.. (2023). Machine learning in process systems engineering: Challenges and opportunities. Computers & Chemical Engineering. 181. 108523–108523. 47 indexed citations
7.
Gopaluni, R. Bhushan, et al.. (2023). VR/MR systems integrated with heat transfer simulation for training of thermoforming: A multicriteria decision-making user study. Journal of Manufacturing Systems. 72. 338–359. 8 indexed citations
8.
Fang, Mengqi, et al.. (2023). Real-time process operation evaluation and model reliability assessment for chemi-thermomechanical pulping process. Control Engineering Practice. 138. 105598–105598.
9.
Wang, Jingyi, et al.. (2023). Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics. Computers & Chemical Engineering. 177. 108294–108294. 6 indexed citations
10.
Gopaluni, R. Bhushan, et al.. (2022). Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework. IEEE Transactions on Industrial Informatics. 19(2). 1436–1444. 15 indexed citations
11.
Wang, Jingyi, et al.. (2022). Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics. 2022 American Control Conference (ACC). 5217–5222. 15 indexed citations
12.
Wang, Kai, et al.. (2019). Data-Driven Dynamic Modeling and Online Monitoring for Multiphase and Multimode Batch Processes with Uneven Batch Durations. Industrial & Engineering Chemistry Research. 58(30). 13628–13641. 23 indexed citations
13.
Gopaluni, R. Bhushan, et al.. (2019). Development and Characterization of a Non-Intrusive Sensor to Measure Wear in Centrifugal Pumps. IEEE Sensors Journal. 19(18). 7906–7914. 1 indexed citations
14.
Krahn, Natalie, Michael Butler, Malcolm L. Kennard, et al.. (2019). Effects of cysteine, asparagine, or glutamine limitations in Chinese hamster ovary cell batch and fed‐batch cultures. Biotechnology Progress. 36(2). e2946–e2946. 17 indexed citations
15.
Lu, Qiugang, R. Bhushan Gopaluni, Philip D. Loewen, et al.. (2015). Detecting model-plant mismatch without external excitation. 4976–4981. 2 indexed citations
16.
Gopaluni, R. Bhushan, et al.. (2011). In Silico Design of Polymeric Antidote for Anticoagulant Fondaparinux. Journal of Medical and Biological Engineering. 31(2). 129–134.
17.
Sun, Lin, Ezra Kwok, R. Bhushan Gopaluni, & Omid Vahidi. (2011). A Feedback Glucose Control Strategy for Type II Diabetes Mellitus. 349–352. 2 indexed citations
18.
Prakash, J., R. Bhushan Gopaluni, Sachin C. Patwardhan, Shankar Narasimhan, & Sirish L. Shah. (2011). Nonlinear Bayesian state estimation: Review and recent trends. 450–455. 8 indexed citations
19.
Kwok, K.E., et al.. (2011). An algorithm for fault detection in stochastic non-linear state-space models using particle filters. 60–65. 2 indexed citations
20.
Mizumoto, Ikuro, R. Bhushan Gopaluni, Sirish L. Shah, & Zenta IWAI. (2002). Robust Adaptive Control for Strict-Feedback Nonlinear Systems with Non-parametric Uncertainties. Transactions of the Society of Instrument and Control Engineers. 38(12). 1069–1078. 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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