Wei Zhan

4.0k total citations · 1 hit paper
64 papers, 2.3k citations indexed

About

Wei Zhan is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Wei Zhan has authored 64 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 30 papers in Automotive Engineering and 18 papers in Control and Systems Engineering. Recurrent topics in Wei Zhan's work include Autonomous Vehicle Technology and Safety (26 papers), Robotics and Sensor-Based Localization (11 papers) and Advanced Neural Network Applications (10 papers). Wei Zhan is often cited by papers focused on Autonomous Vehicle Technology and Safety (26 papers), Robotics and Sensor-Based Localization (11 papers) and Advanced Neural Network Applications (10 papers). Wei Zhan collaborates with scholars based in United States, China and Hong Kong. Wei Zhan's co-authors include Masayoshi Tomizuka, Chenfeng Xu, Liting Sun, Tao Kong, Peize Sun, Rufeng Zhang, Zehuan Yuan, Ping Luo, Changhu Wang and Yi Jiang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Engineering Journal and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Wei Zhan

55 papers receiving 2.2k citations

Hit Papers

Sparse R-CNN: End-to-End Object Detection with Learnable ... 2021 2026 2022 2024 2021 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
    2021 933 citations Peize Sun, Rufeng Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Zhan United States 20 1.3k 782 500 438 402 64 2.3k
J. Marius Zöllner Germany 24 993 0.8× 1.1k 1.4× 409 0.8× 605 1.4× 320 0.8× 177 2.2k
Jianwei Gong China 25 916 0.7× 1.3k 1.7× 270 0.5× 717 1.6× 213 0.5× 164 2.3k
Martin Lauer Germany 22 938 0.7× 583 0.7× 339 0.7× 278 0.6× 635 1.6× 96 2.2k
Huijing Zhao China 28 1.5k 1.2× 767 1.0× 503 1.0× 370 0.8× 548 1.4× 128 2.6k
David Fernández Llorca Spain 31 1.4k 1.1× 1.2k 1.5× 379 0.8× 293 0.7× 363 0.9× 120 2.9k
Yunfeng Ai China 19 563 0.4× 627 0.8× 238 0.5× 489 1.1× 217 0.5× 77 1.8k
Hong Wang China 25 654 0.5× 1.1k 1.4× 243 0.5× 440 1.0× 421 1.0× 154 2.3k
Jianru Xue China 27 2.3k 1.9× 769 1.0× 899 1.8× 229 0.5× 378 0.9× 157 3.1k
Xinyu Zhang China 25 1.0k 0.8× 370 0.5× 243 0.5× 160 0.4× 431 1.1× 120 1.9k
Hongkai Yu United States 22 1.3k 1.0× 383 0.5× 438 0.9× 131 0.3× 196 0.5× 85 1.9k

Countries citing papers authored by Wei Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Zhan. A scholar is included among the top collaborators of Wei Zhan 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 Wei Zhan. Wei Zhan 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.
Zhan, Wei, et al.. (2026). Long term hydrogen storage of low-V BCC-type alloys with co-introduction of Mo and Y. Chemical Engineering Journal. 528. 172572–172572.
2.
3.
Zhan, Wei, et al.. (2025). A novel 3-DOF parallel mechanism for efficient wool harvesting: design, modeling analysis and experimental implementation. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 47(3).
4.
5.
Yu, M. Y., et al.. (2025). Application of data encryption technology in computer network security. Procedia Computer Science. 261. 1187–1193.
6.
Hang, Peng, et al.. (2025). Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning. IEEE Robotics and Automation Letters. 10(5). 4292–4299. 3 indexed citations
7.
Zhan, Wei, et al.. (2024). Efficient Reinforcement Learning of Task Planners for Robotic Palletization Through Iterative Action Masking Learning. IEEE Robotics and Automation Letters. 9(11). 9303–9310. 4 indexed citations
8.
Tang, Chen, et al.. (2024). Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. IEEE Transactions on Control Systems Technology. 33(4). 1301–1316. 1 indexed citations
9.
Zhan, Wei, et al.. (2024). An improved multipath mitigation method using central hemispherical cell in precise point positioning. Advances in Space Research. 75(3). 2721–2738.
10.
Huang, Zhiyu, Chen Tang, Chen Lv, Masayoshi Tomizuka, & Wei Zhan. (2024). Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. IEEE Robotics and Automation Letters. 9(8). 7023–7030. 7 indexed citations
11.
12.
Weaver, Catherine, et al.. (2024). BeTAIL: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay. IEEE Robotics and Automation Letters. 9(8). 7302–7309. 1 indexed citations
13.
Tang, Chen, et al.. (2023). Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. IEEE Robotics and Automation Letters. 8(9). 5432–5439. 4 indexed citations
14.
Sun, Peize, Rufeng Zhang, Yi Jiang, et al.. (2023). Sparse R-CNN: An End-to-End Framework for Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15650–15664. 53 indexed citations
15.
Zhang, Zhetao, et al.. (2023). Real-time multipath mitigation based on spatiotemporal correlations in BDS precise point positioning. GPS Solutions. 28(1). 8 indexed citations
16.
17.
Feng, Di, Zining Wang, Yiyang Zhou, et al.. (2021). Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection. IEEE Transactions on Intelligent Transportation Systems. 23(8). 9981–9994. 17 indexed citations
18.
Jia, Xiaosong, Liting Sun, Hang Zhao, Masayoshi Tomizuka, & Wei Zhan. (2021). Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views. 10 indexed citations
19.
Sun, Peize, Rufeng Zhang, Yi Jiang, et al.. (2021). Sparse R-CNN: End-to-End Object Detection with Learnable Proposals. 14449–14458. 933 indexed citations breakdown →
20.
Zhan, Wei, et al.. (2011). Dynamic Design of High-Speed Planar Cam with Oscillating Follower. Advanced materials research. 308-310. 1845–1849. 2 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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