Lemeng Wu

484 total citations · 1 hit paper
10 papers, 134 citations indexed

About

Lemeng Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Lemeng Wu has authored 10 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Networks and Communications and 2 papers in Signal Processing. Recurrent topics in Lemeng Wu's work include Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Vision and Imaging (2 papers). Lemeng Wu is often cited by papers focused on Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Vision and Imaging (2 papers). Lemeng Wu collaborates with scholars based in United States, China and Singapore. Lemeng Wu's co-authors include Dilin Wang, Vikas Chandra, Raghuraman Krishnamoorthi, Yunyang Xiong, Fanyi Xiao, Xiaoliang Dai, Chenchen Zhu, Xiaoyu Xiang, Forrest Iandola and Qixing Huang and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Lemeng Wu

9 papers receiving 133 citations

Hit Papers

align trajectories

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.

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

2024 74 citations Yunyang Xiong, Lemeng Wu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lemeng Wu United States	6	88	32	27	15	15	10	134
Wenhao Chai United States	11	142 1.6×	49 1.5×	16 0.6×	11 0.7×	13 0.9×	28	211
Kiana Ehsani United States	6	150 1.7×	69 2.2×	33 1.2×	9 0.6×	15 1.0×	13	200
Ruojin Cai United States	5	90 1.0×	28 0.9×	13 0.5×	15 1.0×	25 1.7×	9	128
Ilya A. Petrov Germany	4	178 2.0×	39 1.2×	52 1.9×	37 2.5×	9 0.6×	5	237
Yifan Zhou China	8	102 1.2×	24 0.8×	15 0.6×	7 0.5×	21 1.4×	18	166
Haozhi Cao Singapore	9	100 1.1×	73 2.3×	20 0.7×	14 0.9×	38 2.5×	20	191
Pierluigi Zama Ramirez Italy	9	146 1.7×	49 1.5×	9 0.3×	11 0.7×	33 2.2×	21	192
Chaoyang Wang China	10	127 1.4×	31 1.0×	7 0.3×	12 0.8×	30 2.0×	18	218
Fuwen Tan United States	7	173 2.0×	47 1.5×	14 0.5×	28 1.9×	19 1.3×	11	201

Countries citing papers authored by Lemeng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Lemeng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lemeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lemeng Wu. A scholar is included among the top collaborators of Lemeng Wu 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 Lemeng Wu. Lemeng Wu 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:

10 of 10 papers shown

1.

Zhou, Chong, Chenchen Zhu, Yunyang Xiong, et al.. (2025). EdgeTAM: On-Device Track Anything Model. 13832–13842.

2.

Gong, Chengyue, et al.. (2024). Layer Compression of Deep Networks with Straight Flows. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12181–12189. 1 indexed citations

3.

Zhang, Shujian, Lemeng Wu, Chengyue Gong, & Xingchao Liu. (2024). LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows. 3893–3905. 1 indexed citations

4.

Xiong, Yunyang, Lemeng Wu, Xiaoyu Xiang, et al.. (2024). EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. 16111–16121. 74 indexed citations breakdown →

5.

Wu, Lemeng, Meng Li, Yunyang Xiong, et al.. (2024). PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. 313–323. 2 indexed citations

6.

Wu, Lemeng, Chengyue Gong, Xingchao Liu, et al.. (2023). Fast Point Cloud Generation with Straight Flows. 9445–9454. 7 indexed citations

7.

Wu, Lemeng, Bo Liu, Peter Stone, & Qiang Liu. (2021). Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. arXiv (Cornell University). 33. 22373–22383. 8 indexed citations

8.

Wu, Lemeng, et al.. (2019). Splitting Steepest Descent for Growing Neural Architectures. Neural Information Processing Systems. 32. 10656–10666. 6 indexed citations

9.

Zhang, Zaiwei, et al.. (2019). Path-Invariant Map Networks. 11076–11086. 8 indexed citations

10.

Lin, Angela S., et al.. (2018). Generating Animated Videos of Human Activities from Natural Language Descriptions. 27 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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