Kaige Tan

486 total citations
21 papers, 286 citations indexed

About

Kaige Tan is a scholar working on Control and Systems Engineering, Automotive Engineering and Biomedical Engineering. According to data from OpenAlex, Kaige Tan has authored 21 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Automotive Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Kaige Tan's work include Soft Robotics and Applications (4 papers), Electric and Hybrid Vehicle Technologies (3 papers) and Electric Vehicles and Infrastructure (3 papers). Kaige Tan is often cited by papers focused on Soft Robotics and Applications (4 papers), Electric and Hybrid Vehicle Technologies (3 papers) and Electric Vehicles and Infrastructure (3 papers). Kaige Tan collaborates with scholars based in Sweden, China and Austria. Kaige Tan's co-authors include Lei Feng, Martin Törngren, Muhammad Rusyadi Ramli, György Dán, Franz Wotawa, Mihai Nica, Jianbo Tao, Qinglei Ji, Per Runeson and Stefan Persson and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Information Sciences.

In The Last Decade

Kaige Tan

17 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaige Tan Sweden 8 105 81 52 42 42 21 286
Lúcio F. Vismari Brazil 9 100 1.0× 70 0.9× 18 0.3× 60 1.4× 41 1.0× 24 320
Jidong Lv China 10 47 0.4× 50 0.6× 39 0.8× 29 0.7× 77 1.8× 53 352
Cheng Chang China 11 166 1.6× 100 1.2× 45 0.9× 42 1.0× 53 1.3× 26 353
Liping Lu China 9 67 0.6× 61 0.8× 35 0.7× 16 0.4× 65 1.5× 42 245
Henry Alexander Ignatious United Arab Emirates 6 100 1.0× 41 0.5× 41 0.8× 47 1.1× 73 1.7× 12 249
Xuanpeng Zhao United States 8 165 1.6× 137 1.7× 58 1.1× 30 0.7× 82 2.0× 14 364
Xinyu Jiao China 8 163 1.6× 92 1.1× 13 0.3× 44 1.0× 60 1.4× 17 289
Bassam Alrifaee Germany 11 155 1.5× 172 2.1× 77 1.5× 40 1.0× 68 1.6× 46 352
Arnav Vaibhav Malawade United States 10 97 0.9× 35 0.4× 27 0.5× 82 2.0× 65 1.5× 14 273

Countries citing papers authored by Kaige Tan

Since Specialization
Citations

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

Fields of papers citing papers by Kaige Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaige Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Kaige Tan. A scholar is included among the top collaborators of Kaige 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 Kaige Tan. Kaige Tan 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.
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Tan, Kaige, et al.. (2024). Optimal gait design for a soft quadruped robot via multi-fidelity Bayesian optimization. Applied Soft Computing. 169. 112568–112568. 3 indexed citations
3.
Tan, Kaige, Qinglei Ji, Lei Feng, & Martin Törngren. (2023). Edge-Enabled Adaptive Shape Estimation of 3-D Printed Soft Actuators With Gaussian Processes and Unscented Kalman Filters. IEEE Transactions on Industrial Electronics. 71(3). 3044–3054. 5 indexed citations
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Tan, Kaige, et al.. (2023). Reducing the Learning Time of Reinforcement Learning for the Supervisory Control of Discrete Event Systems. IEEE Access. 11. 59840–59853. 5 indexed citations
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Tan, Kaige, et al.. (2023). A model-based deep reinforcement learning approach to the nonblocking coordination of modular supervisors of discrete event systems. Information Sciences. 630. 305–321. 7 indexed citations
8.
Tan, Kaige, et al.. (2023). Computationally Efficient Energy Management for a Parallel Hybrid Electric Vehicle Using Adaptive Dynamic Programming. IEEE Transactions on Intelligent Vehicles. 9(2). 4085–4099. 17 indexed citations
9.
Tan, Kaige, Qinglei Ji, Lei Feng, & Martin Törngren. (2022). Shape Estimation of a 3D Printed Soft Sensor Using Multi-Hypothesis Extended Kalman Filter. IEEE Robotics and Automation Letters. 7(3). 8383–8390. 7 indexed citations
10.
Tao, Jianbo, Kaige Tan, Martin Törngren, et al.. (2022). Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study. IEEE Transactions on Software Engineering. 49(3). 991–1026. 94 indexed citations
11.
Tan, Kaige, Lei Feng, György Dán, & Martin Törngren. (2022). Decentralized Convex Optimization for Joint Task Offloading and Resource Allocation of Vehicular Edge Computing Systems. IEEE Transactions on Vehicular Technology. 71(12). 13226–13241. 36 indexed citations
12.
Törngren, Martin, Rafia Inam, Lei Feng, et al.. (2022). Edge Computing for Cyber-physical Systems: A Systematic Mapping Study Emphasizing Trustworthiness. ACM Transactions on Cyber-Physical Systems. 6(3). 1–28. 31 indexed citations
13.
Tan, Kaige, et al.. (2022). Critical scenario identification for realistic testing of autonomous driving systems. Software Quality Journal. 31(2). 441–469. 19 indexed citations
14.
Zhu, Wenyao, et al.. (2022). A Low-Complexity and High-Performance Energy Management Strategy of a Hybrid Electric Vehicle by Model Approximation. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 455–462. 2 indexed citations
15.
Ji, Qinglei, Kaige Tan, George Andrikopoulos, et al.. (2022). Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning. Robotics and Computer-Integrated Manufacturing. 78. 102382–102382. 30 indexed citations
16.
Tan, Kaige, et al.. (2021). An Industrial Workbench for Test Scenario Identification for Autonomous Driving Software. Lund University Publications (Lund University). 81–82. 6 indexed citations
17.
Tao, Jianbo, Kaige Tan, Martin Törngren, et al.. (2021). Finding critical scenarios for automated driving systems : The data extraction form. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
18.
Tan, Kaige. (2019). Building verification database and extracting critical scenarios for self-driving car testing on virtual platform. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
19.
Cheng, Xiaogang, Bin Yang, Kaige Tan, et al.. (2019). A Contactless Measuring Method of Skin Temperature based on the Skin Sensitivity Index and Deep Learning. Applied Sciences. 9(7). 1375–1375. 20 indexed citations
20.
Tan, Kaige, et al.. (2016). Open source hardware and software platform for robotics and artificial intelligence applications. IOP Conference Series Materials Science and Engineering. 114. 12142–12142. 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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