Tianhao Wei

405 total citations
12 papers, 229 citations indexed

About

Tianhao Wei is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Tianhao Wei has authored 12 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Automotive Engineering. Recurrent topics in Tianhao Wei's work include Advanced Control Systems Optimization (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Fault Detection and Control Systems (2 papers). Tianhao Wei is often cited by papers focused on Advanced Control Systems Optimization (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Fault Detection and Control Systems (2 papers). Tianhao Wei collaborates with scholars based in United States and China. Tianhao Wei's co-authors include Yuan Xie, Liang Lin, Keze Wang, Guanbin Li, Changliu Liu, Rui Chen, Simin Liu, Tingting Hou, Yuexuan Wang and Keke Liu and has published in prestigious journals such as Frontiers in Public Health, Journal of Artificial Intelligence Research and IEEE Control Systems Letters.

In The Last Decade

Tianhao Wei

11 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tianhao Wei United States	7	145	50	42	22	16	12	229
Shaojie Wang China	9	188 1.3×	19 0.4×	43 1.0×	4 0.2×	23 1.4×	30	295
Nicholas Rhinehart United States	7	104 0.7×	35 0.7×	84 2.0×	31 1.4×	6 0.4×	17	166
Glen Chou United States	9	85 0.6×	54 1.1×	89 2.1×	35 1.6×	6 0.4×	17	188
Tu-Hoa Pham United States	4	41 0.3×	82 1.6×	42 1.0×	11 0.5×	11 0.7×	11	145
Branislav Sobota Slovakia	9	69 0.5×	30 0.6×	25 0.6×	15 0.7×	16 1.0×	64	203
Jiafei Duan United States	5	86 0.6×	35 0.7×	77 1.8×	8 0.4×	14 0.9×	7	205
T.S. Huang United States	7	140 1.0×	25 0.5×	100 2.4×	40 1.8×	5 0.3×	8	254
Samson Yu Singapore	4	83 0.6×	32 0.6×	69 1.6×	8 0.4×	14 0.9×	4	192
Shih-Yang Su Taiwan	6	219 1.5×	16 0.3×	44 1.0×	15 0.7×	6 0.4×	8	266
Hao Shao China	9	122 0.8×	11 0.2×	83 2.0×	5 0.2×	9 0.6×	24	236

Countries citing papers authored by Tianhao Wei

Since Specialization

Citations

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

Fields of papers citing papers by Tianhao Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianhao Wei

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Yang, Yujie, et al.. (2025). Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis. Journal of Artificial Intelligence Research. 83. 1 indexed citations

2.

Luo, Xusheng, et al.. (2025). Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods. ACM Transactions on Cyber-Physical Systems. 9(2). 1–26.

3.

Pandya, Ravi, Tianhao Wei, & Changliu Liu. (2024). Multimodal Safe Control for Human-Robot Interaction. 2672–2678. 1 indexed citations

4.

Chen, Rui, et al.. (2023). State-wise Safe Reinforcement Learning: A Survey. 6814–6822. 23 indexed citations

5.

Wei, Tianhao, Yifeng Du, Tingting Hou, et al.. (2023). Association between adverse oral conditions and cognitive impairment: A literature review. Frontiers in Public Health. 11. 1147026–1147026. 7 indexed citations

6.

Wei, Tianhao, et al.. (2023). Safety Index Synthesis via Sum-of-Squares Programming. 732–737. 11 indexed citations

7.

Wei, Tianhao, et al.. (2022). Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming. IEEE Control Systems Letters. 7. 1213–1218. 7 indexed citations

8.

Chen, Rui, et al.. (2022). A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 341. 8894–8901. 2 indexed citations

9.

Wei, Tianhao & Changliu Liu. (2019). Safe Control Algorithms Using Energy Functions: A Uni ed Framework, Benchmark, and New Directions. 238–243. 25 indexed citations

10.

Wei, Tianhao, et al.. (2019). AGen: Adaptable Generative Prediction Networks for Autonomous Driving. 281–286. 13 indexed citations

11.

Wang, Yuexuan, Zhaoquan Gu, Xiaolin Zheng, et al.. (2018). How Local Information Improves Rendezvous in Cognitive Radio Networks. 23. 1–9. 6 indexed citations

12.

Li, Guanbin, Yuan Xie, Tianhao Wei, Keze Wang, & Liang Lin. (2018). Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. 3243–3252. 133 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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