Tingwei Ji

774 total citations · 1 hit paper
32 papers, 569 citations indexed

About

Tingwei Ji is a scholar working on Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Tingwei Ji has authored 32 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 16 papers in Aerospace Engineering and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Tingwei Ji's work include Fluid Dynamics and Turbulent Flows (18 papers), Model Reduction and Neural Networks (13 papers) and Fluid Dynamics and Vibration Analysis (7 papers). Tingwei Ji is often cited by papers focused on Fluid Dynamics and Turbulent Flows (18 papers), Model Reduction and Neural Networks (13 papers) and Fluid Dynamics and Vibration Analysis (7 papers). Tingwei Ji collaborates with scholars based in China and United States. Tingwei Ji's co-authors include Yao Zheng, Xinshuai Zhang, Zaoxu Zhu, Fangfang Xie, Fangfang Xie, Fan Jin, Yao Zheng, Hongjie Zhou, Xianwen Huang and Xing Hua Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and International Journal of Hydrogen Energy.

In The Last Decade

Tingwei Ji

28 papers receiving 563 citations

Hit Papers

Multi-fidelity deep neural network surrogate model for ae... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingwei Ji China 11 313 224 216 80 80 32 569
Marcus Meyer Germany 11 228 0.7× 126 0.6× 211 1.0× 81 1.0× 162 2.0× 70 505
M. Damodaran Singapore 11 386 1.2× 315 1.4× 204 0.9× 67 0.8× 177 2.2× 51 694
C. B. Allen United Kingdom 11 544 1.7× 114 0.5× 238 1.1× 111 1.4× 110 1.4× 13 680
Jean‐Christophe Jouhaud France 15 367 1.2× 113 0.5× 263 1.2× 85 1.1× 135 1.7× 25 609
Mathieu Couplet France 8 216 0.7× 245 1.1× 119 0.6× 54 0.7× 213 2.7× 13 492
Marc Montagnac France 11 335 1.1× 104 0.5× 197 0.9× 131 1.6× 125 1.6× 23 564
Daniel J. Poole United Kingdom 15 467 1.5× 142 0.6× 205 0.9× 248 3.1× 158 2.0× 53 727
Mengwu Guo Netherlands 11 213 0.7× 477 2.1× 123 0.6× 73 0.9× 279 3.5× 22 746
Zaoxu Zhu China 6 112 0.4× 97 0.4× 94 0.4× 75 0.9× 73 0.9× 10 332
Andrew Wynn United Kingdom 16 419 1.3× 189 0.8× 377 1.7× 29 0.4× 77 1.0× 68 867

Countries citing papers authored by Tingwei Ji

Since Specialization
Citations

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

Fields of papers citing papers by Tingwei Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingwei Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Tingwei Ji. A scholar is included among the top collaborators of Tingwei Ji 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 Tingwei Ji. Tingwei Ji 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.
Ji, Tingwei, et al.. (2025). Mimic biological flapping motion for a two-dimensional wing by reinforcement learning. Bioinspiration & Biomimetics. 20(3). 36011–36011.
2.
Ji, Tingwei, et al.. (2025). Multidisciplinary design optimization for hydrogen fuel cell-battery hybrid systems: Integrating hybridization degree into UAV conceptual design. International Journal of Hydrogen Energy. 201. 152324–152324. 1 indexed citations
3.
Wang, Yu‐Chao, et al.. (2025). Prediction of Aerothermal Heating: From Numerical Simulations to Machine Learning Models. SHILAP Revista de lepidopterología. 3. 1 indexed citations
4.
Xie, Fangfang, et al.. (2025). Human-in-the-loop reinforcement learning for dynamic soaring: A trajectory planning and control integrated system. Engineering Applications of Artificial Intelligence. 157. 111219–111219. 1 indexed citations
5.
Ji, Tingwei, et al.. (2025). Physics-based discovery of governing equations from scarce and noisy data. Physical review. E. 111(6). 65314–65314.
6.
Xie, Fangfang, et al.. (2024). Multi-fidelity Bayesian neural networks for aerodynamic data fusion with heterogeneous uncertainties. Computer Methods in Applied Mechanics and Engineering. 435. 117666–117666. 4 indexed citations
7.
Xie, Fangfang, et al.. (2024). Energy-harvest for orographic soaring in the monsoon climate. Aerospace Science and Technology. 158. 109896–109896. 1 indexed citations
8.
Ji, Tingwei, et al.. (2024). Learning active flow control strategies of a swept wing by intelligent wind tunnel. Theoretical and Applied Mechanics Letters. 14(5). 100543–100543. 1 indexed citations
10.
Lu, Yufeng, et al.. (2024). An Online Data-Driven Method for Accurate Detection of Thermal Updrafts Using SINDy. Aerospace. 11(10). 858–858.
11.
Xie, Fangfang, et al.. (2024). A general integration kernel formulation for immersed boundary method. Physics of Fluids. 36(2). 1 indexed citations
12.
Xie, Fangfang, Tingwei Ji, Xinshuai Zhang, et al.. (2023). Deep Reinforcement Learning: A New Beacon for Intelligent Active Flow Control. 1. 11 indexed citations
13.
Xie, Fangfang, et al.. (2023). Fixed-Wing UAV Formation Path Planning Based on Formation Control: Theory and Application. Aerospace. 11(1). 1–1. 5 indexed citations
14.
Zhang, Xinshuai, et al.. (2023). Parametric unsteady flow modeling by using meta learning. Engineering Applications of Artificial Intelligence. 121. 105978–105978. 5 indexed citations
15.
Xie, Fangfang, et al.. (2022). Bioinspired dynamic soaring simulation system with distributed pressure sensors. Bioinspiration & Biomimetics. 17(3). 36010–36010. 4 indexed citations
16.
Ji, Tingwei, et al.. (2022). Unsteady flow prediction from sparse measurements by compressed sensing reduced order modeling. Computer Methods in Applied Mechanics and Engineering. 393. 114800–114800. 44 indexed citations
17.
Xie, Fangfang, et al.. (2020). Multifidelity kinematic parameter optimization of a flapping airfoil. Physical review. E. 101(1). 13107–13107. 21 indexed citations
18.
Zhang, Xinshuai, Fangfang Xie, Tingwei Ji, Zaoxu Zhu, & Yao Zheng. (2020). Multi-fidelity deep neural network surrogate model for aerodynamic shape optimization. Computer Methods in Applied Mechanics and Engineering. 373. 113485–113485. 245 indexed citations breakdown →
19.
Xie, Fangfang, et al.. (2019). Propulsion performance of a two-dimensional flapping airfoil with wake map and dynamic mode decomposition analysis. Physical review. E. 99(6). 63109–63109. 23 indexed citations
20.
Cao, Hao, Tingwei Ji, Qin Lan, et al.. (2019). [Establishment of rat model of cardiorenal syndrome by transabdominal subtotal nephrectomy].. PubMed. 99(6). 447–452. 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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