Dalong Du

4.5k total citations
16 papers, 606 citations indexed

About

Dalong Du is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Automotive Engineering. According to data from OpenAlex, Dalong Du has authored 16 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Graphics and Computer-Aided Design and 3 papers in Automotive Engineering. Recurrent topics in Dalong Du's work include Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Neural Network Applications (4 papers). Dalong Du is often cited by papers focused on Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Neural Network Applications (4 papers). Dalong Du collaborates with scholars based in China, United Kingdom and United States. Dalong Du's co-authors include Zheng Zhu, Guan Huang, Xinze Chen, Xingang Wang, Jiwen Lu, Yunpeng Zhang, Yanwei Li, Lingxi Xie, Yun Ye and Jie Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Radiation Oncology*Biology*Physics and Journal of Physics Conference Series.

In The Last Decade

Dalong Du

14 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dalong Du China 9 511 91 87 67 51 16 606
Anton Konushin Russia 13 446 0.9× 77 0.8× 43 0.5× 98 1.5× 56 1.1× 63 640
Wenzhao Zheng China 12 483 0.9× 199 2.2× 33 0.4× 82 1.2× 58 1.1× 31 640
Peiyun Hu United States 10 699 1.4× 215 2.4× 84 1.0× 115 1.7× 30 0.6× 14 864
Benjamin Höferlin Germany 11 774 1.5× 165 1.8× 73 0.8× 56 0.8× 42 0.8× 19 880
Roberto J. López-Sastre Spain 14 351 0.7× 64 0.7× 24 0.3× 70 1.0× 63 1.2× 41 458
Peng Chang China 12 290 0.6× 69 0.8× 80 0.9× 119 1.8× 14 0.3× 29 463
R. Lengagne France 8 596 1.2× 144 1.6× 31 0.4× 97 1.4× 40 0.8× 14 676
Dehui Kong China 13 586 1.1× 269 3.0× 59 0.7× 21 0.3× 71 1.4× 91 732
Holger Caesar Netherlands 7 772 1.5× 324 3.6× 33 0.4× 106 1.6× 40 0.8× 19 948

Countries citing papers authored by Dalong Du

Since Specialization
Citations

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

Fields of papers citing papers by Dalong Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalong Du

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

All Works

16 of 16 papers shown
1.
2.
Chang, Yi‐Fan, Junjie Huang, Xiaofeng Wang, et al.. (2025). Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection. 6802–6811.
3.
Du, Dalong, et al.. (2025). Design of a machine learning driven helicopter noise suppression system. Journal of Physics Conference Series. 2955(1). 12014–12014. 1 indexed citations
4.
Lu, Hao, et al.. (2025). Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering. Proceedings of the AAAI Conference on Artificial Intelligence. 39(6). 5811–5819. 1 indexed citations
5.
Wang, Guangming, et al.. (2024). 3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-Labelling. 15173–15183. 3 indexed citations
6.
Liu, Jiuming, Guangming Wang, Weicai Ye, et al.. (2024). DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement. 15109–15119. 10 indexed citations
7.
Wang, Ziwei, Yunpeng Zhang, Borui Zhang, et al.. (2024). LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-Based 3D Semantic Occupancy Prediction. 9806–9815. 4 indexed citations
8.
Zhang, Yunpeng, Zheng Zhu, & Dalong Du. (2023). OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction. 9399–9409. 79 indexed citations
9.
Wang, Xiaofeng, Zheng Zhu, Wenbo Xu, et al.. (2023). OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception. 17804–17813. 65 indexed citations
10.
Zhu, Zheng, Guan Huang, Jiankang Deng, et al.. (2022). WebFace260M: A Benchmark for Million-Scale Deep Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2627–2644. 33 indexed citations
11.
Zhang, Yunpeng, Wenzhao Zheng, Zheng Zhu, et al.. (2022). Dimension Embeddings for Monocular 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1579–1588. 13 indexed citations
12.
Shen, Shuai, Wanhua Li, Zheng Zhu, et al.. (2021). Structure-Aware Face Clustering on a Large-Scale Graph with 107Nodes. 9081–9090. 16 indexed citations
13.
Zhu, Zheng, Guan Huang, Jiankang Deng, et al.. (2021). WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition. Spiral (Imperial College London). 10487–10497. 148 indexed citations
14.
Han, Chu, et al.. (2020). Comparative Clinical Evaluation Of Deep-Learning-Based Algorithms In Auto-Segmentation Of Organs-At-Risk For Head And Neck Cancers. International Journal of Radiation Oncology*Biology*Physics. 108(3). e817–e817. 1 indexed citations
15.
Li, Yanwei, Xinze Chen, Zheng Zhu, et al.. (2019). Attention-Guided Unified Network for Panoptic Segmentation. 7019–7028. 182 indexed citations
16.
Zhu, Zheng, Guan Huang, Wei Zou, Dalong Du, & Chang Huang. (2017). UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking. 50 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