Kui Jia

12.7k total citations · 4 hit papers
119 papers, 7.2k citations indexed

About

Kui Jia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Kui Jia has authored 119 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 34 papers in Computational Mechanics. Recurrent topics in Kui Jia's work include 3D Shape Modeling and Analysis (27 papers), Domain Adaptation and Few-Shot Learning (26 papers) and Advanced Vision and Imaging (22 papers). Kui Jia is often cited by papers focused on 3D Shape Modeling and Analysis (27 papers), Domain Adaptation and Few-Shot Learning (26 papers) and Advanced Vision and Imaging (22 papers). Kui Jia collaborates with scholars based in China, Hong Kong and Singapore. Kui Jia's co-authors include Dacheng Tao, Bolun Cai, Xiangmin Xu, Chunmei Qing, Hui Tang, Zhixin Wang, Ke Chen, Bertram E. Shi, Dit‐Yan Yeung and Lin Sun and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Kui Jia

112 papers receiving 7.0k 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.

DehazeNet: An End-to-End System for Single Image Haze Removal

2016 2.1k citations Kui Jia et al. profile →
Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks

2015 366 citations Kui Jia et al. profile →
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

2019 356 citations Zhixin Wang, Kui Jia profile →
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

2023 136 citations Kui Jia et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kui Jia China	41	5.8k	1.8k	1.6k	740	637	119	7.2k
Junhui Hou Hong Kong	38	4.8k 0.8×	657 0.4×	1.6k 1.0×	957 1.3×	452 0.7×	207	6.4k
In So Kweon South Korea	44	7.9k 1.4×	1.4k 0.8×	1.9k 1.2×	436 0.6×	425 0.7×	321	9.9k
Mathieu Salzmann Switzerland	41	4.3k 0.7×	2.0k 1.1×	542 0.3×	599 0.8×	408 0.6×	169	5.8k
Yanwei Fu China	38	4.8k 0.8×	2.8k 1.6×	744 0.5×	376 0.5×	414 0.6×	164	6.7k
Kyoung Mu Lee South Korea	43	11.3k 2.0×	871 0.5×	4.3k 2.7×	535 0.7×	545 0.9×	194	12.7k
Longin Jan Latecki United States	43	5.4k 0.9×	1.5k 0.8×	449 0.3×	696 0.9×	229 0.4×	212	7.0k
Lizhuang Ma China	38	3.5k 0.6×	941 0.5×	709 0.4×	600 0.8×	187 0.3×	321	4.9k
Patrick Pérez France	39	4.4k 0.8×	1.8k 1.0×	644 0.4×	427 0.6×	260 0.4×	136	6.3k
Chi–Keung Tang Hong Kong	44	6.1k 1.0×	588 0.3×	1.1k 0.7×	693 0.9×	167 0.3×	122	7.0k

Countries citing papers authored by Kui Jia

Since Specialization

Citations

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

Fields of papers citing papers by Kui Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kui Jia

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

20 of 20 papers shown

Jia, Kui, et al.. (2025). ALEL-AMCL: an artificial landmark enhanced localization of mobile robotic system based on AMCL algorithm. Measurement Science and Technology. 36(5). 56311–56311.

Chen, Ke, et al.. (2024). Improving deep representation learning via auxiliary learnable target coding. Pattern Recognition. 157. 110938–110938. 2 indexed citations

Xu, Xun, et al.. (2024). Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 15126–15135. 5 indexed citations

Liang, Zhihao, et al.. (2024). Exploring Diversity-Based Active Learning for 3D Object Detection in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 25(11). 15454–15466. 8 indexed citations

Chen, Ke, et al.. (2024). Label-Efficient Point Cloud Semantic Segmentation: A Holistic Active Learning Approach. 2.

Wen, Yuxin, et al.. (2024). Surface Reconstruction From Point Clouds: A Survey and a Benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9727–9748. 27 indexed citations

Xu, Xun, et al.. (2024). Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(8). 5524–5540. 4 indexed citations

Tan, Mingkui, Zhuangwei Zhuang, Sitao Chen, et al.. (2024). EPMF: Efficient Perception-Aware Multi-Sensor Fusion for 3D Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 8258–8273. 10 indexed citations

Wang, Chengyu, Bingyan Liu, Xinyi Zou, et al.. (2024). PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. 1–8. 2 indexed citations

10.

Zhang, Yichen, et al.. (2023). Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. 1740–1748. 1 indexed citations

11.

Liang, Zhihao, et al.. (2022). VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8438–8447. 64 indexed citations

12.

Guo, Yong, et al.. (2021). Content-aware convolutional neural networks. Neural Networks. 143. 657–668. 6 indexed citations

13.

Tang, Jiapeng, Xiaoguang Han, Mingkui Tan, Xin Tong, & Kui Jia. (2021). SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces From RGB Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6454–6471. 27 indexed citations

14.

Jia, Kui, et al.. (2021). Learning and Meshing From Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(12). 10068–10086. 5 indexed citations

15.

Gao, Yuan, et al.. (2020). MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning. 11540–11549. 42 indexed citations

16.

Jia, Kui, et al.. (2020). Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks. International Conference on Machine Learning. 1. 5789–5798. 5 indexed citations

17.

Zhou, Kun, Xiaoguang Han, Nianjuan Jiang, Kui Jia, & Jiangbo Lu. (2019). HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation. 2344–2353. 77 indexed citations

18.

Wang, Zhixin & Kui Jia. (2019). Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal. IEEE Conference Proceedings. 2019. 1742–1749. 16 indexed citations

19.

Chen, Ke, et al.. (2019). Efficient 3D Visual Perception for Robotic Rock Breaking. Trepo - Institutional Repository of Tampere University. 1124–1130. 4 indexed citations

20.

Jia, Kui, Xiaogang Wang, & Xiaoou Tang. (2012). Image Transformation Based on Learning Dictionaries across Image Spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(2). 367–380. 107 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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