Lewei Lu

5.6k total citations · 4 hit papers
19 papers, 1.3k citations indexed

About

Lewei Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Lewei Lu has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Lewei Lu's work include Advanced Neural Network Applications (7 papers), Advanced Vision and Imaging (4 papers) and Multimodal Machine Learning Applications (4 papers). Lewei Lu is often cited by papers focused on Advanced Neural Network Applications (7 papers), Advanced Vision and Imaging (4 papers) and Multimodal Machine Learning Applications (4 papers). Lewei Lu collaborates with scholars based in China, Hong Kong and Singapore. Lewei Lu's co-authors include Jifeng Dai, Xizhou Zhu, Yu Qiao, Xiaogang Wang, Hongsheng Li, Zhiqi Li, Wenhai Wang, Tong Lü, Zhe Chen and Zhenhang Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and The HKU Scholars Hub (University of Hong Kong).

In The Last Decade

Lewei Lu

14 papers receiving 1.3k citations

Hit Papers

InternImage: Exploring Large-Scale Vision Foundation Mode... 2023 2026 2024 2025 2023 2023 2023 2024 100 200 300 400
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. InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
    2023 479 citations Wenhai Wang, Jifeng Dai et al. profile →
  2. Planning-oriented Autonomous Driving
    2023 349 citations Yihan Hu, Li Chen et al. profile →
  3. BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
    2023 147 citations Chenyu Yang, Yuntao Chen et al. The HKU Scholars Hub (University of Hong Kong) profile →
  4. Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
    2024 66 citations Yuwen Xiong, Zhiqi Li 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
Lewei Lu China 9 881 328 203 195 116 19 1.3k
Fabian Timm Germany 8 690 0.8× 238 0.7× 204 1.0× 194 1.0× 105 0.9× 12 1.2k
Di Feng Germany 10 738 0.8× 325 1.0× 275 1.4× 267 1.4× 86 0.7× 10 1.3k
Claudius Gläser Germany 10 619 0.7× 257 0.8× 256 1.3× 249 1.3× 84 0.7× 31 1.1k
Heinz Hertlein United Kingdom 3 553 0.6× 221 0.7× 191 0.9× 185 0.9× 77 0.7× 5 875
Senthil Yogamani France 18 693 0.8× 183 0.6× 189 0.9× 232 1.2× 85 0.7× 61 1.0k
Xinjing Cheng China 10 859 1.0× 278 0.8× 222 1.1× 251 1.3× 179 1.5× 12 1.2k
Wenqi Xian United States 5 1.3k 1.4× 468 1.4× 335 1.7× 135 0.7× 106 0.9× 9 1.6k
Fangchen Liu United States 8 1.1k 1.2× 491 1.5× 336 1.7× 119 0.6× 93 0.8× 24 1.5k
Zhijian Liu United States 14 817 0.9× 334 1.0× 150 0.7× 275 1.4× 44 0.4× 25 1.2k
Vashisht Madhavan United States 3 1.1k 1.2× 521 1.6× 337 1.7× 109 0.6× 93 0.8× 3 1.4k

Countries citing papers authored by Lewei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lewei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lewei Lu

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

All Works

19 of 19 papers shown
1.
2.
Chen, Zhe, Wei‐Yun Wang, S. Ye, et al.. (2025). Docopilot: Improving Multimodal Models for Document-Level Understanding. 4026–4037.
3.
Shao, Jie, Xizhou Zhu, Zhaokai Wang, et al.. (2025). SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding. 29767–29779.
4.
5.
Tao, Chenxin, Xizhou Zhu, Chenyu Zhang, et al.. (2025). HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. 14559–14569.
6.
Tian, Hao, Junjun He, Xiaolong Zhu, et al.. (2024). Mini-InternVL: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance. SHILAP Revista de lepidopterología. 2(1). 6 indexed citations
7.
Luo, Zhipeng, Gongjie Zhang, Changqing Zhou, et al.. (2024). Modeling Continuous Motion for 3D Point Cloud Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4026–4034. 3 indexed citations
8.
Jin, Sheng, et al.. (2024). Weakly Supervised Monocular 3D Detection with a Single-View Image. 10508–10518. 1 indexed citations
9.
Qiu, Han, Jiaxing Huang, Peng Gao, et al.. (2024). Masked AutoDecoder is Effective Multi-Task Vision Generalist. 14152–14161. 1 indexed citations
10.
Xiong, Yuwen, Zhiqi Li, Yuntao Chen, et al.. (2024). Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. 5652–5661. 66 indexed citations breakdown →
11.
Tong, Wenwen, Chonghao Sima, Tai Wang, et al.. (2023). Scene as Occupancy. The HKU Scholars Hub (University of Hong Kong). 8372–8381. 47 indexed citations
12.
Lu, Lewei. (2023). Observation and feature measurements of cloud and haze in exoplanet atmosphere based on transmission spectra. Highlights in Science Engineering and Technology. 38. 90–96. 1 indexed citations
13.
Hu, Yihan, Li Chen, Keyu Li, et al.. (2023). Planning-oriented Autonomous Driving. 17853–17862. 349 indexed citations breakdown →
14.
Yang, Chenyu, Yuntao Chen, Hao Tian, et al.. (2023). BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. The HKU Scholars Hub (University of Hong Kong). 17830–17839. 147 indexed citations breakdown →
15.
Wang, Wenhai, Jifeng Dai, Zhe Chen, et al.. (2023). InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. 14408–14419. 479 indexed citations breakdown →
16.
Zeng, Jia, Li Chen, Hanming Deng, et al.. (2023). Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection. The HKU Scholars Hub (University of Hong Kong). 992–1001. 9 indexed citations
17.
Su, Weijie, Xizhou Zhu, Chenxin Tao, et al.. (2023). Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. 15888–15899. 28 indexed citations
18.
Liu, Rui, Hanming Deng, Xiaoyu Shi, et al.. (2021). FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14020–14029. 97 indexed citations
19.
Su, Weijie, Xizhou Zhu, Yue Cao, et al.. (2020). VL-BERT: Pre-training of Generic Visual-Linguistic Representations. International Conference on Learning Representations. 112 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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