Nenglun Chen

479 total citations
10 papers, 249 citations indexed

About

Nenglun Chen is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Nenglun Chen has authored 10 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 2 papers in Aerospace Engineering. Recurrent topics in Nenglun Chen's work include 3D Shape Modeling and Analysis (4 papers), Advanced Vision and Imaging (3 papers) and Human Pose and Action Recognition (3 papers). Nenglun Chen is often cited by papers focused on 3D Shape Modeling and Analysis (4 papers), Advanced Vision and Imaging (3 papers) and Human Pose and Action Recognition (3 papers). Nenglun Chen collaborates with scholars based in Hong Kong, China and United States. Nenglun Chen's co-authors include Wenping Wang, Changjian Li, Zhiming Cui, Dinggang Shen, Runnan Chen, Yuanfeng Zhou, Lingjie Liu, Cheng Lin, Yi‐King Choi and Yuan Liu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, ACM Transactions on Graphics and Neurocomputing.

In The Last Decade

Nenglun Chen

10 papers receiving 245 citations

Peers

Nenglun Chen

CVPR

OS

CM

RNMI

AI

Runnan Chen China

Mingquan Zhou China

Andrea Valsecchi Spain

Thomas Albrecht Switzerland

Biwen Lei China

Yujie Zhang China

Alexander Ladikos Germany

Qing Yu China

J. Graham United Kingdom

Johannes Keustermans Belgium

Runnan Chen China

Nenglun Chen

78 ×0.8

CVPR

99 ×1.1

OS

30 ×0.4

CM

28 ×0.6

RNMI

30 ×0.8

AI

Citations per year, relative to Nenglun Chen Nenglun Chen (= 1×) peers Runnan Chen

Countries citing papers authored by Nenglun Chen

Since Specialization

Citations

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

Fields of papers citing papers by Nenglun Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nenglun Chen

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

All Works

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10 of 10 papers shown

1.

Chen, Nenglun, Lei Chu, Hao Pan, Yan Lu, & Wenping Wang. (2022). Self-Supervised Image Representation Learning with Geometric Set Consistency. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19270–19280. 7 indexed citations

2.

Zhang, Congyi, Lei Yang, Nenglun Chen, et al.. (2022). CreatureShop: Interactive 3D Character Modeling and Texturing From a Single Color Drawing. IEEE Transactions on Visualization and Computer Graphics. 29(12). 4874–4890. 5 indexed citations

3.

Lin, Cheng, Changjian Li, Yuan Liu, et al.. (2021). Point2Skeleton: Learning Skeletal Representations from Point Clouds. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4275–4284. 39 indexed citations

4.

Ma, Yuexin, et al.. (2021). Semi-supervised anatomical landmark detection via shape-regulated self-training. Neurocomputing. 471. 335–345. 17 indexed citations

5.

Cui, Zhiming, Changjian Li, Nenglun Chen, et al.. (2021). Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation. IEEE Transactions on Medical Imaging. 40(12). 3604–3616. 28 indexed citations

6.

Chen, Runnan, Wenzhe Wang, Nenglun Chen, et al.. (2021). PR-Net: Preference Reasoning for Personalized Video Highlight Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7960–7969. 8 indexed citations

7.

Cui, Zhiming, Changjian Li, Nenglun Chen, et al.. (2020). TSegNet: An efficient and accurate tooth segmentation network on 3D dental model. Medical Image Analysis. 69. 101949–101949. 105 indexed citations

8.

Chen, Nenglun, Lingjie Liu, Zhiming Cui, et al.. (2020). Unsupervised Learning of Intrinsic Structural Representation Points. The HKU Scholars Hub (University of Hong Kong). 9118–9127. 28 indexed citations

9.

Wang, Peng, Lingjie Liu, Nenglun Chen, et al.. (2020). Vid2Curve. ACM Transactions on Graphics. 39(4). 6 indexed citations

10.

Liu, Lingjie, Nenglun Chen, Duygu Ceylan, et al.. (2018). C urve F usion. ACM Transactions on Graphics. 37(6). 1–12. 6 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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