Yifeng Lu

857 total citations · 1 hit paper
6 papers, 316 citations indexed

About

Yifeng Lu is a scholar working on Computer Vision and Pattern Recognition, Surgery and Computer Networks and Communications. According to data from OpenAlex, Yifeng Lu has authored 6 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Surgery and 1 paper in Computer Networks and Communications. Recurrent topics in Yifeng Lu's work include Peer-to-Peer Network Technologies (1 paper), Orthopedic Surgery and Rehabilitation (1 paper) and Bone fractures and treatments (1 paper). Yifeng Lu is often cited by papers focused on Peer-to-Peer Network Technologies (1 paper), Orthopedic Surgery and Rehabilitation (1 paper) and Bone fractures and treatments (1 paper). Yifeng Lu collaborates with scholars based in China and United States. Yifeng Lu's co-authors include Quoc V. Le, Denny Zhou, Alan Yuille, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Yingwei Li, Junyang Shen and Adams Wei Yu and has published in prestigious journals such as BMC Surgery, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Computer Engineering and Applications Journal.

In The Last Decade

Yifeng Lu

5 papers receiving 303 citations

Hit Papers

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D O... 2022 2026 2023 2024 2022 100 200 300
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. DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
    2022 301 citations Yingwei Li, Adams Wei Yu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Yifeng Lu
Ben Caine United States
Daiyi Peng United States
Guoxin Zhang China
Jianhui Liu China
Dibet Garcia Gonzalez Portugal
Inwook Shim South Korea
Qingqiu Huang China
Jae Shin Yoon United States
Zizhang Wu China
Ben Caine United States
Yifeng Lu
Citations per year, relative to Yifeng Lu Yifeng Lu (= 1×) peers Ben Caine

Countries citing papers authored by Yifeng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yifeng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yifeng Lu

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

All Works

6 of 6 papers shown
1.
2.
Dong, Xuanyi, et al.. (2023). DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. 69798–69818.
3.
Wei, Jerry, Le Hou, Andrew K. Lampinen, et al.. (2023). Symbol tuning improves in-context learning in language models. 968–979. 11 indexed citations
4.
Lu, Yifeng, et al.. (2022). An Ultra-wideband Power Amplifier Designed with Gain Flatness and Small Size. 1–2. 1 indexed citations
5.
Li, Yingwei, Adams Wei Yu, Tianjian Meng, et al.. (2022). DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17161–17170. 301 indexed citations breakdown →
6.
Lu, Yifeng. (2009). Research combination of UPnP and STUN for NAT traversal. Computer Engineering and Applications Journal. 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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2026