Guan Pang

2.1k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Guan Pang is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Guan Pang has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Environmental Engineering and 5 papers in Aerospace Engineering. Recurrent topics in Guan Pang's work include 3D Surveying and Cultural Heritage (5 papers), Remote Sensing and LiDAR Applications (5 papers) and Robotics and Sensor-Based Localization (5 papers). Guan Pang is often cited by papers focused on 3D Surveying and Cultural Heritage (5 papers), Remote Sensing and LiDAR Applications (5 papers) and Robotics and Sensor-Based Localization (5 papers). Guan Pang collaborates with scholars based in United States, Israel and Netherlands. Guan Pang's co-authors include Saikat Basu, Jing Huang, İlke Demir, Ramesh Raskar, Devis Tuia, Krzysztof Koperski, Ulrich Neumann, Suriya Singh, C. V. Jawahar and Manohar Paluri and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEICE Transactions on Information and Systems and arXiv (Cornell University).

In The Last Decade

Guan Pang

14 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

2018 759 citations İlke Demir, Krzysztof Koperski et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guan Pang United States	9	557	512	502	433	127	14	1.1k
İlke Demir United States	11	417 0.7×	734 1.4×	368 0.7×	372 0.9×	104 0.8×	21	1.3k
Beril Sırmaçek Netherlands	17	560 1.0×	528 1.0×	553 1.1×	663 1.5×	156 1.2×	64	1.4k
Jaewook Jung Canada	10	317 0.6×	369 0.7×	582 1.2×	326 0.8×	114 0.9×	16	1.0k
David M. McKeown United States	13	370 0.7×	533 1.0×	368 0.7×	336 0.8×	69 0.5×	45	1.1k
Taejung Kim South Korea	19	587 1.1×	393 0.8×	394 0.8×	242 0.6×	107 0.8×	127	1.2k
Dilong Li China	17	217 0.4×	271 0.5×	378 0.8×	240 0.6×	85 0.7×	37	779
Cem Ünsalan Türkiye	20	588 1.1×	578 1.1×	504 1.0×	933 2.2×	303 2.4×	86	1.6k
U. Breitkopf Germany	5	207 0.4×	274 0.5×	424 0.8×	224 0.5×	107 0.8×	9	725
Franz Kurz Germany	15	209 0.4×	451 0.9×	245 0.5×	224 0.5×	75 0.6×	72	843
Gellért Máttyus Canada	11	413 0.7×	789 1.5×	381 0.8×	243 0.6×	48 0.4×	14	1.2k

Countries citing papers authored by Guan Pang

Since Specialization

Citations

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

Fields of papers citing papers by Guan Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guan Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Guan Pang. A scholar is included among the top collaborators of Guan Pang 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 Guan Pang. Guan Pang 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:

14 of 14 papers shown

1.

Jiang, Jindong, Di Liu, Licheng Yu, et al.. (2024). Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. 7496–7506. 1 indexed citations

2.

Krishnan, Praveen, et al.. (2023). TextStyleBrush: Transfer of Text Aesthetics From a Single Example. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 9122–9134. 21 indexed citations

3.

Huang, Jing, Guan Pang, Kevin J Liang, et al.. (2021). A Multiplexed Network for End-to-End, Multilingual OCR. 4545–4555. 24 indexed citations

4.

Demir, İlke, Guan Pang, & Jing Huang. (2019). A Computer Vision Perspective on Analyzing and Synthesizing Geospatial Data. 353. 4807–4810. 1 indexed citations

5.

Singh, Suriya, et al.. (2019). Improved Road Connectivity by Joint Learning of Orientation and Segmentation. PolyPublie (École Polytechnique de Montréal). 10377–10385. 159 indexed citations

6.

Singh, Suriya, Guan Pang, Lorenzo Torresani, et al.. (2018). Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery.. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 102. 29 indexed citations

7.

Demir, İlke, Krzysztof Koperski, Guan Pang, et al.. (2018). DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images. arXiv (Cornell University). 172–17209. 759 indexed citations breakdown →

8.

Pang, Guan & Ulrich Neumann. (2016). 3D point cloud object detection with multi-view convolutional neural network. 585–590. 46 indexed citations

9.

Pang, Guan & Ulrich Neumann. (2015). Fast and Robust Multi-view 3D Object Recognition in Point Clouds. 171–179. 18 indexed citations

10.

Pang, Guan, et al.. (2015). Automatic 3D Industrial Point Cloud Classification and Modeling. SPE Western Regional Meeting. 2 indexed citations

11.

Pang, Guan, et al.. (2015). Automatic 3D industrial point cloud modeling and recognition. 22–25. 24 indexed citations

12.

Pang, Guan & Ulrich Neumann. (2013). Training-Based Object Recognition in Cluttered 3D Point Clouds. 87–94. 29 indexed citations

13.

Pang, Guan & Ulrich Neumann. (2013). The Gixel array descriptor (GAD) for multimodal image matching. 497–504. 5 indexed citations

14.

Pang, Guan, Guijin Wang, & Xinggang Lin. (2010). Real-Time Human Detection Using Hierarchical HOG Matrices. IEICE Transactions on Information and Systems. E93-D(3). 658–661. 1 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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