Lue Fan

718 total citations
12 papers, 291 citations indexed

About

Lue Fan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Lue Fan has authored 12 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 2 papers in Computational Mechanics. Recurrent topics in Lue Fan's work include Advanced Neural Network Applications (5 papers), Robotics and Sensor-Based Localization (5 papers) and Video Surveillance and Tracking Methods (3 papers). Lue Fan is often cited by papers focused on Advanced Neural Network Applications (5 papers), Robotics and Sensor-Based Localization (5 papers) and Video Surveillance and Tracking Methods (3 papers). Lue Fan collaborates with scholars based in China, India and Hong Kong. Lue Fan's co-authors include Zhaoxiang Zhang, Naiyan Wang, Wang Feng, Yuntao Chen, Yuqi Wang, Zhaoxiang Zhang, Xingyu Liao, Hongxin Li, Yuqi Wang and Jiawei He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Fusion and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Lue Fan

9 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lue Fan China	7	219	114	46	45	42	12	291
Tai Wang China	6	172 0.8×	88 0.8×	52 1.1×	38 0.8×	49 1.2×	9	240
Liang Xie China	5	313 1.4×	179 1.6×	44 1.0×	57 1.3×	60 1.4×	11	363
Jean Lahoud United Arab Emirates	4	169 0.8×	87 0.8×	38 0.8×	28 0.6×	34 0.8×	8	236
Lucas Nunes Germany	10	202 0.9×	155 1.4×	48 1.0×	49 1.1×	111 2.6×	19	318
Haiyue Wei China	7	183 0.8×	97 0.9×	17 0.4×	43 1.0×	26 0.6×	8	268
Armin Mustafa United Kingdom	6	219 1.0×	62 0.5×	40 0.9×	46 1.0×	26 0.6×	19	277
Anna Vorontsova United States	4	153 0.7×	97 0.9×	30 0.7×	21 0.5×	31 0.7×	8	209
Maximilian Jaritz France	4	309 1.4×	99 0.9×	50 1.1×	17 0.4×	66 1.6×	4	379
Rohit Mohan India	8	166 0.8×	46 0.4×	34 0.7×	23 0.5×	50 1.2×	24	257
Biao Gao China	6	170 0.8×	89 0.8×	90 2.0×	48 1.1×	115 2.7×	9	296

Countries citing papers authored by Lue Fan

Since Specialization

Citations

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

Fields of papers citing papers by Lue Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lue Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Lue Fan. A scholar is included among the top collaborators of Lue Fan 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 Lue Fan. Lue Fan 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.

Han, Xiaofeng, Zheng Qing Fu, Lue Fan, et al.. (2025). Multimodal fusion and vision–language models: A survey for robot vision. Information Fusion. 126. 103652–103652. 2 indexed citations

2.

Fan, Lue, et al.. (2025). FreeSim: Toward Free-viewpoint Camera Simulation in Driving Scenes. 12004–12014. 1 indexed citations

3.

Zhou, Jingqiu, Lue Fan, Xuesong Chen, et al.. (2025). GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance. Proceedings of the AAAI Conference on Artificial Intelligence. 39(10). 10788–10796.

4.

Li, Yingyan, Lue Fan, Yang Liu, et al.. (2024). Fully Sparse Fusion for 3D Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7217–7231. 18 indexed citations

5.

Wang, Yuqi, Jiawei He, Lue Fan, et al.. (2024). Driving Into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving. 14749–14759. 27 indexed citations

6.

Wang, Yuqi, Yuntao Chen, Xingyu Liao, Lue Fan, & Zhaoxiang Zhang. (2024). PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation. 17158–17168. 29 indexed citations

7.

Fan, Lue, Wang Feng, Naiyan Wang, & Zhaoxiang Zhang. (2024). FSD V2: Improving Fully Sparse 3D Object Detection With Virtual Voxels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 1279–1292. 11 indexed citations

8.

Fan, Lue, et al.. (2024). Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection. 81489–81509.

9.

Fan, Lue, et al.. (2023). Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection. 19763–19772. 17 indexed citations

10.

Fan, Lue, et al.. (2023). Super Sparse 3D Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 12490–12505. 23 indexed citations

11.

Fan, Lue, et al.. (2022). Fully Sparse 3D Object Detection. 351–363.

12.

Fan, Lue, et al.. (2021). RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2898–2907. 163 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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