Ping Tan

14.1k total citations · 4 hit papers
138 papers, 6.8k citations indexed

About

Ping Tan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Ping Tan has authored 138 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Vision and Pattern Recognition, 31 papers in Aerospace Engineering and 27 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Ping Tan's work include Advanced Vision and Imaging (87 papers), Robotics and Sensor-Based Localization (29 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Ping Tan is often cited by papers focused on Advanced Vision and Imaging (87 papers), Robotics and Sensor-Based Localization (29 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Ping Tan collaborates with scholars based in China, Canada and Singapore. Ping Tan's co-authors include Siyu Zhu, Danping Zou, Long Quan, Lu Yuan, Zhaopeng Cui, Zuozhuo Dai, Shuaicheng Liu, Xiaodong Gu, Boxin Shi and Ming‐Ming Cheng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Food Chemistry and IEEE Transactions on Image Processing.

In The Last Decade

Ping Tan

135 papers receiving 6.6k citations

Hit Papers

Cascade Cost Volume for H... 2009 2026 2014 2020 2020 2009 2021 2022 100 200 300 400 500
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. Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
    2020 505 citations Xiaodong Gu, Zhiwen Fan et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  2. Sketch2Photo
    2009 411 citations Ping Tan et al. profile →
  3. CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
    2021 204 citations Lizhe Liu, Siyu Zhu et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
  4. Neural Window Fully-connected CRFs for Monocular Depth Estimation
    2022 173 citations Siyu Zhu, Ping Tan et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ping Tan 5.7k 1.3k 1.2k 934 745 138 6.8k
Sing Bing Kang 9.3k 1.6× 1.5k 1.2× 1.8k 1.5× 2.3k 2.5× 631 0.8× 178 10.8k
Long Quan 6.6k 1.1× 2.6k 2.0× 1.1k 0.9× 1.2k 1.3× 1.3k 1.7× 359 10.5k
Jan‐Michael Frahm 6.7k 1.2× 3.9k 3.0× 967 0.8× 543 0.6× 1.6k 2.2× 124 8.5k
Jaesik Park 3.2k 0.6× 1.1k 0.9× 540 0.4× 739 0.8× 968 1.3× 58 4.3k
Chi–Keung Tang 6.1k 1.1× 532 0.4× 1.0k 0.9× 1.1k 1.2× 307 0.4× 122 7.0k
Gabriel Brostow 4.4k 0.8× 900 0.7× 610 0.5× 952 1.0× 291 0.4× 85 5.4k
Yu‐Kun Lai 4.3k 0.8× 750 0.6× 1.7k 1.4× 210 0.2× 810 1.1× 293 7.0k
Cewu Lu 4.7k 0.8× 496 0.4× 485 0.4× 829 0.9× 607 0.8× 134 6.7k
Srinivasa G. Narasimhan 7.1k 1.2× 428 0.3× 913 0.7× 3.3k 3.6× 228 0.3× 139 8.5k
Jianxiong Xiao 7.7k 1.3× 2.4k 1.8× 866 0.7× 707 0.8× 2.4k 3.2× 42 11.0k

Countries citing papers authored by Ping Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Tan. A scholar is included among the top collaborators of Ping Tan 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 Ping Tan. Ping Tan 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.
Wu, Jin, Yilong Zhu, Yuhua Qi, et al.. (2025). AM-Align: Globally Optimal Estimation of Accelerometer–Magnetometer Misalignment. IEEE Transactions on Instrumentation and Measurement. 74. 1–10.
2.
Wu, Jin, et al.. (2025). MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework. IEEE Robotics and Automation Letters. 10(5). 4228–4235. 2 indexed citations
3.
Zhang, Guoyun, et al.. (2025). A Unified Self-Supervised Learning Framework for Hyperspectral Image Classification. IEEE Access. 13. 49874–49890. 2 indexed citations
4.
Zhao, Lin, et al.. (2025). A leader-follower contrastive learning framework for imbalanced multimodal remote sensing image classification. International Journal of Remote Sensing. 46(13). 5034–5061.
5.
Liu, Shuaicheng, et al.. (2024). Minimum Latency Deep Online Video Stabilization and Its Extensions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 1238–1249. 1 indexed citations
6.
Shi, Mingyi, et al.. (2024). Taming Diffusion Probabilistic Models for Character Control. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–10. 4 indexed citations
7.
Tan, Ping, Yuhui Chen, Tao Liu, et al.. (2024). Deep learning assisted logic gates for real-time identification of natural tetracycline antibiotics. Food Chemistry. 454. 139705–139705. 10 indexed citations
8.
Liu, Xiangyue, Xue Han, Kunming Luo, Ping Tan, & Yi Li. (2024). GenN2N: Generative NeRF2NeRF Translation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5105–5114. 2 indexed citations
9.
Liu, Zhao‐Qing, et al.. (2023). A Train Identification Method Based on Sparse Point Clouds Scan Dataset. 58. 5532–5536. 1 indexed citations
10.
Zheng, Yuanjie, Tongtong Che, Sujuan Hou, et al.. (2022). Image Matting With Deep Gaussian Process. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 8879–8893. 13 indexed citations
11.
Cheng, Jian, et al.. (2022). Efficient Virtual View Selection for 3D Hand Pose Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 419–426. 21 indexed citations
12.
Liu, Wei, Yuzhe Qin, Fanbo Xiang, et al.. (2021). OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation. IEEE Robotics and Automation Letters. 7(1). 486–493. 33 indexed citations
13.
Liu, Lizhe, et al.. (2021). CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3753–3762. 204 indexed citations breakdown →
14.
Gu, Xiaodong, Zhiwen Fan, Siyu Zhu, et al.. (2020). Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2492–2501. 505 indexed citations breakdown →
15.
Dai, Zuozhuo, Mingqiang Chen, Xiaodong Gu, Siyu Zhu, & Ping Tan. (2019). Batch DropBlock Network for Person Re-Identification and Beyond. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3690–3700. 172 indexed citations
16.
Tang, Chengzhou & Ping Tan. (2018). BA-Net: Dense Bundle Adjustment Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 69 indexed citations
17.
Tang, Chengzhou, et al.. (2017). GlobalSLAM: Initialization-robust Monocular Visual SLAM.. arXiv (Cornell University). 3 indexed citations
18.
Li, Lei, Zhe Huang, Changqing Zou, et al.. (2016). Model-driven sketch reconstruction with structure-oriented retrieval. CityU Scholars. 1–4. 8 indexed citations
19.
Tan, Ping, Stephen Lin, & Long Quan. (2006). Resolution-Enhanced Photometric Stereo. Lecture notes in computer science. 3953. 58–71. 9 indexed citations
20.
Tan, Ping, Stephen Lin, Long Quan, Baining Guo, & Heung‐Yeung Shum. (2005). Multiresolution reflectance filtering. 111–116. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sing Bing Kang Breakdown of academic impact, for papers by Long Quan Breakdown of academic impact, for papers by Jan‐Michael Frahm Breakdown of academic impact, for papers by Jaesik Park Breakdown of academic impact, for papers by Chi–Keung Tang Breakdown of academic impact, for papers by Gabriel Brostow Breakdown of academic impact, for papers by Yu‐Kun Lai Breakdown of academic impact, for papers by Cewu Lu Breakdown of academic impact, for papers by Srinivasa G. Narasimhan Breakdown of academic impact, for papers by Jianxiong Xiao
Rankless by CCL
2026