Cheng-Kun Yang

625 total citations
5 papers, 59 citations indexed

About

Cheng-Kun Yang is a scholar working on Computational Mechanics, Geology and Environmental Engineering. According to data from OpenAlex, Cheng-Kun Yang has authored 5 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 5 papers in Geology and 2 papers in Environmental Engineering. Recurrent topics in Cheng-Kun Yang's work include 3D Surveying and Cultural Heritage (5 papers), 3D Shape Modeling and Analysis (5 papers) and Remote Sensing and LiDAR Applications (2 papers). Cheng-Kun Yang is often cited by papers focused on 3D Surveying and Cultural Heritage (5 papers), 3D Shape Modeling and Analysis (5 papers) and Remote Sensing and LiDAR Applications (2 papers). Cheng-Kun Yang collaborates with scholars based in Taiwan and China. Cheng-Kun Yang's co-authors include Yen‐Yu Lin, Yung‐Yu Chuang and Jen‐Hui Chuang and has published in prestigious journals such as IEEE Transactions on Multimedia, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Cheng-Kun Yang

5 papers receiving 59 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng-Kun Yang Taiwan 4 42 40 36 16 5 5 59
Humam Alwassel Saudi Arabia 4 26 0.6× 18 0.5× 17 0.5× 27 1.7× 3 0.6× 4 52
Benjamin Eckart United States 3 30 0.7× 30 0.8× 17 0.5× 27 1.7× 6 1.2× 4 56
Tiago Cortinhal Sweden 4 12 0.3× 9 0.2× 15 0.4× 22 1.4× 2 0.4× 5 39
Matan Atzmon Israel 4 37 0.9× 12 0.3× 11 0.3× 22 1.4× 30 6.0× 5 56
Chaitra Desai India 6 8 0.2× 13 0.3× 11 0.3× 86 5.4× 5 1.0× 11 101
Abdullah Hamdi Saudi Arabia 5 18 0.4× 10 0.3× 6 0.2× 38 2.4× 15 3.0× 10 66
Lior Yariv Israel 4 56 1.3× 22 0.6× 9 0.3× 71 4.4× 70 14.0× 5 108
Christine Allen-Blanchette United States 3 32 0.8× 16 0.4× 3 0.1× 44 2.8× 7 1.4× 5 73
Rahul Goel India 3 16 0.4× 8 0.2× 5 0.1× 30 1.9× 18 3.6× 6 56
Zizhuang Wei China 2 7 0.2× 37 0.9× 7 0.2× 106 6.6× 12 2.4× 2 114

Countries citing papers authored by Cheng-Kun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Kun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Kun Yang. 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 Cheng-Kun Yang. The network helps show where Cheng-Kun Yang may publish in the future.

Co-authorship network of co-authors of Cheng-Kun Yang

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

All Works

5 of 5 papers shown
1.
Yang, Cheng-Kun, et al.. (2024). PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation. 3470–3479. 5 indexed citations
2.
Yang, Cheng-Kun, et al.. (2024). Unsupervised Point Cloud Co-Part Segmentation via Co-Attended Superpoint Generation and Aggregation. IEEE Transactions on Multimedia. 26. 7775–7786. 1 indexed citations
3.
Yang, Cheng-Kun, et al.. (2023). 2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision. 977–987. 8 indexed citations
4.
Yang, Cheng-Kun, et al.. (2022). An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11820–11829. 34 indexed citations
5.
Yang, Cheng-Kun, Yung‐Yu Chuang, & Yen‐Yu Lin. (2021). Unsupervised Point Cloud Object Co-segmentation by Co-contrastive Learning and Mutual Attention Sampling. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7315–7324. 11 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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