Kangle Deng

891 total citations · 1 hit paper
5 papers, 509 citations indexed

About

Kangle Deng is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Kangle Deng has authored 5 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Graphics and Computer-Aided Design and 1 paper in Signal Processing. Recurrent topics in Kangle Deng's work include Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Vision and Imaging (3 papers) and Computer Graphics and Visualization Techniques (2 papers). Kangle Deng is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Vision and Imaging (3 papers) and Computer Graphics and Visualization Techniques (2 papers). Kangle Deng collaborates with scholars based in United States and China. Kangle Deng's co-authors include Jun-Yan Zhu, Deva Ramanan, Andrew Liu, Xin Huang, Yuxin Peng, Gengshan Yang and Aayush Bansal and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Kangle Deng

5 papers receiving 491 citations

Hit Papers

align trajectories

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.

Depth-supervised NeRF: Fewer Views and Faster Training for Free

2022 459 citations Kangle Deng, Andrew Liu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kangle Deng United States	4	425	243	152	90	45	5	509
Michael Niemeyer United States	8	491 1.2×	322 1.3×	285 1.9×	69 0.8×	43 1.0×	14	629
Noha Radwan United States	3	323 0.8×	194 0.8×	124 0.8×	63 0.7×	34 0.8×	10	382
Fanbo Xiang United States	5	448 1.1×	296 1.2×	203 1.3×	62 0.7×	35 0.8×	9	541
Anpei Chen China	8	612 1.4×	366 1.5×	285 1.9×	60 0.7×	42 0.9×	14	694
Keunhong Park United States	6	410 1.0×	253 1.0×	217 1.4×	44 0.5×	33 0.7×	7	495
Edgar Tretschk Germany	4	386 0.9×	244 1.0×	242 1.6×	44 0.5×	35 0.8×	4	477
Shangzhe Wu United Kingdom	8	326 0.8×	103 0.4×	174 1.1×	65 0.7×	42 0.9×	18	411
Rodrigo Ortiz-Cayon United Kingdom	2	517 1.2×	339 1.4×	171 1.1×	53 0.6×	26 0.6×	3	577
Aaron Sarna United States	7	398 0.9×	193 0.8×	247 1.6×	28 0.3×	30 0.7×	9	517
Julien Philip United States	9	698 1.6×	526 2.2×	316 2.1×	83 0.9×	72 1.6×	14	835

Countries citing papers authored by Kangle Deng

Since Specialization

Citations

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

Fields of papers citing papers by Kangle Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangle Deng

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

5 of 5 papers shown

1.

Yang, Gengshan, et al.. (2023). Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. 17625–17636. 7 indexed citations

2.

Deng, Kangle, Gengshan Yang, Deva Ramanan, & Jun-Yan Zhu. (2023). 3D-aware Conditional Image Synthesis. 4434–4445. 14 indexed citations

3.

Deng, Kangle, Andrew Liu, Jun-Yan Zhu, & Deva Ramanan. (2022). Depth-supervised NeRF: Fewer Views and Faster Training for Free. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12872–12881. 459 indexed citations breakdown →

4.

Deng, Kangle, Aayush Bansal, & Deva Ramanan. (2020). Unsupervised Audiovisual Synthesis via Exemplar Autoencoders. arXiv (Cornell University). 1 indexed citations

5.

Deng, Kangle, et al.. (2019). IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation. 2216–2222. 28 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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