Dingfu Zhou

3.8k total citations · 2 hit papers
57 papers, 2.1k citations indexed

About

Dingfu Zhou is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Dingfu Zhou has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 11 papers in Computational Mechanics. Recurrent topics in Dingfu Zhou's work include Advanced Neural Network Applications (14 papers), Robotics and Sensor-Based Localization (13 papers) and Advanced Vision and Imaging (11 papers). Dingfu Zhou is often cited by papers focused on Advanced Neural Network Applications (14 papers), Robotics and Sensor-Based Localization (13 papers) and Advanced Vision and Imaging (11 papers). Dingfu Zhou collaborates with scholars based in China, Australia and United States. Dingfu Zhou's co-authors include Ruigang Yang, Yuchao Dai, Jin Fang, Xibin Song, Junbo Yin, Peng Wang, Xinyu Huang, Xinjing Cheng, Qichuan Geng and Hongdong Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Brain Research and IEEE Transactions on Image Processing.

In The Last Decade

Dingfu Zhou

47 papers receiving 2.1k citations

Hit Papers

The ApolloScape Open Dataset for Autonomous Driving and I... 2019 2026 2021 2023 2019 2019 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. The ApolloScape Open Dataset for Autonomous Driving and Its Application
    2019 383 citations Xinyu Huang, Peng Wang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. IoU Loss for 2D/3D Object Detection
    2019 297 citations Dingfu Zhou, Jin Fang 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
Dingfu Zhou China 22 1.5k 667 364 276 246 57 2.1k
Jiajun Deng China 18 1.4k 0.9× 628 0.9× 193 0.5× 249 0.9× 82 0.3× 62 1.9k
Ángel D. Sappa Spain 26 1.9k 1.3× 698 1.0× 292 0.8× 168 0.6× 512 2.1× 154 2.7k
Yassine Ruichek France 27 1.6k 1.0× 437 0.7× 248 0.7× 174 0.6× 393 1.6× 176 2.6k
Xinge Zhu China 21 2.1k 1.4× 838 1.3× 462 1.3× 476 1.7× 173 0.7× 42 2.9k
Philipp Krähenbühl United States 18 3.8k 2.5× 726 1.1× 283 0.8× 210 0.8× 345 1.4× 25 4.4k
Jana Košecká United States 32 3.2k 2.1× 2.1k 3.1× 392 1.1× 233 0.8× 266 1.1× 101 4.1k
Frank Moosmann Germany 11 961 0.6× 717 1.1× 283 0.8× 366 1.3× 110 0.4× 14 1.5k

Countries citing papers authored by Dingfu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Dingfu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingfu Zhou

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

All Works

20 of 20 papers shown
1.
Shi, Yue, Xiong Luo, Lei Tang, et al.. (2025). Real-time synchronous detection of wind and aerosol using a coherent lidar. Chinese Optics Letters. 23(1). 11203–11203.
2.
Yu, Zhan, Yi Wei, Sheng Yuan, et al.. (2025). Single-pixel three-dimensional imaging based on 2D compressed sensing algorithm. Optics Express. 33(5). 10442–10442.
3.
4.
5.
Fang, Jin, Dingfu Zhou, Jingjing Zhao, et al.. (2024). LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection. 14822–14829. 10 indexed citations
6.
7.
Shen, Zhelun, Xibin Song, Yuchao Dai, et al.. (2023). Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14301–14320. 20 indexed citations
8.
Zhou, Dingfu, et al.. (2022). DiT-SLAM: Real-Time Dense Visual-Inertial SLAM with Implicit Depth Representation and Tightly-Coupled Graph Optimization. Sensors. 22(9). 3389–3389. 5 indexed citations
9.
Chen, Yong, Xiaofeng Li, Yong Jiang, et al.. (2022). Simultaneous detection of multiple gaseous pollutants using multi-wavelength differential absorption LIDAR. Optics Communications. 518. 128359–128359. 11 indexed citations
10.
Fang, Jin, Dingfu Zhou, Xibin Song, & Liangjun Zhang. (2021). MapFusion: A General Framework for 3D Object Detection with HDMaps. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3406–3413. 14 indexed citations
11.
Zhou, Dingfu, et al.. (2021). AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15621–15630. 90 indexed citations
12.
Zhou, Dingfu, Jin Fang, Xibin Song, et al.. (2019). IoU Loss for 2D/3D Object Detection. 85–94. 297 indexed citations breakdown →
13.
Zhou, Dingfu, Yuchao Dai, & Hongdong Li. (2019). Ground-Plane-Based Absolute Scale Estimation for Monocular Visual Odometry. IEEE Transactions on Intelligent Transportation Systems. 21(2). 791–802. 45 indexed citations
14.
Huang, Xinyu, Xinjing Cheng, Qichuan Geng, et al.. (2018). The ApolloScape Dataset for Autonomous Driving. arXiv (Cornell University). 1067–10676. 112 indexed citations
15.
Zhou, Dingfu, et al.. (2018). Image encryption using exclusive-OR with DNA complementary rules and double random phase encoding. Physics Letters A. 383(9). 915–922. 44 indexed citations
16.
Fang, Jin, Feilong Yan, Feihu Zhang, et al.. (2018). Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows.. arXiv (Cornell University). 20 indexed citations
17.
Zhou, Dingfu, Yuchao Dai, & Hongdong Li. (2016). Reliable scale estimation and correction for monocular Visual Odometry. 490–495. 30 indexed citations
18.
Yang, Guojing, et al.. (2016). Full-thickness cartilage-based posterior femoral condylar offset. Influence on knee flexion after posterior-stabilized total knee arthroplasty. Orthopaedics & Traumatology Surgery & Research. 102(4). 441–446. 14 indexed citations
19.
Gao, Yong, Yun Zhao, Yang Liu, et al.. (2014). Treadmill exercise promotes angiogenesis in the ischemic penumbra of rat brains through caveolin-1/VEGF signaling pathways. Brain Research. 1585. 83–90. 62 indexed citations
20.
Yuan, Sheng, et al.. (2007). Simultaneous transmission for an encrypted image and a double random-phase encryption key. Applied Optics. 46(18). 3747–3747. 19 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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