Jia Sun

486 total citations
13 papers, 350 citations indexed

About

Jia Sun is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Jia Sun has authored 13 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Industrial and Manufacturing Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Jia Sun's work include Industrial Vision Systems and Defect Detection (5 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Neural Network Applications (3 papers). Jia Sun is often cited by papers focused on Industrial Vision Systems and Defect Detection (5 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Neural Network Applications (3 papers). Jia Sun collaborates with scholars based in China. Jia Sun's co-authors include Peng Wang, Wanyi Li, Weiping Liu, Ting Hu, Yongkang Luo, Hong Qiao, Wanyi Li, Fuyu Li, Xiaofei Shen and Wei Wei and has published in prestigious journals such as Sensors, IEEE Transactions on Instrumentation and Measurement and Measurement.

In The Last Decade

Jia Sun

13 papers receiving 343 citations

Peers

Jia Sun

CVPR

GEOLO

EE

CM

IME

Dibet Garcia Gonzalez Portugal

Xiaoxi Gong China

Lushen Wu China

Jianhui Liu China

Johan Kjellander Sweden

Jiageng Mao Hong Kong

Shangshu Yu China

Wenming Wu China

Truc Le United States

Thang Vu South Korea

Dibet Garcia Gonzalez Portugal

Jia Sun

136 ×0.9

CVPR

42 ×0.4

GEOLO

55 ×0.6

EE

45 ×0.5

CM

45 ×0.5

IME

Citations per year, relative to Jia Sun Jia Sun (= 1×) peers Dibet Garcia Gonzalez

Countries citing papers authored by Jia Sun

Since Specialization

Citations

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

Fields of papers citing papers by Jia Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Sun

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

13 of 13 papers shown

1.

Luo, Yongkang, et al.. (2024). Progressive Transfer Learning for Dexterous In-Hand Manipulation With Multifingered Anthropomorphic Hand. IEEE Transactions on Cognitive and Developmental Systems. 16(6). 2019–2031. 3 indexed citations

2.

Wang, Peng, et al.. (2021). ACR-Net: Attention Integrated and Cross-Spatial Feature Fused Rotation Network for Tubular Solder Joint Detection. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 8 indexed citations

3.

Shen, Xiaofei, Peng Wang, Wei Wei, et al.. (2021). BV-Net: Bin-based Vector-predicted Network for tubular solder joint detection. Measurement. 183. 109821–109821. 8 indexed citations

4.

Li, Wanyi, Fuyu Li, Yongkang Luo, Peng Wang, & Jia Sun. (2020). Deep Domain Adaptive Object Detection: a Survey. 1808–1813. 40 indexed citations

5.

Sun, Jia, Peng Wang, Yongkang Luo, & Wanyi Li. (2019). Surface Defects Detection Based on Adaptive Multiscale Image Collection and Convolutional Neural Networks. IEEE Transactions on Instrumentation and Measurement. 68(12). 4787–4797. 47 indexed citations

6.

Li, Wanyi, Jia Sun, Yongkang Luo, & Peng Wang. (2019). 6D Object Pose Estimation using Few-Shot Instance Segmentation and 3D Matching. 1071–1077. 1 indexed citations

7.

Liu, Weiping, Jia Sun, Wanyi Li, Ting Hu, & Peng Wang. (2019). Deep Learning on Point Clouds and Its Application: A Survey. Sensors. 19(19). 4188–4188. 161 indexed citations

8.

Sun, Jia, et al.. (2018). Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency. International Journal of Automation and Computing. 15(4). 417–430. 7 indexed citations

9.

Sun, Jia, et al.. (2017). Effective self-calibration for camera parameters and hand-eye geometry based on two feature points motions. IEEE/CAA Journal of Automatica Sinica. 4(2). 370–380. 15 indexed citations

10.

Wang, Peng, et al.. (2016). Precise Robotic Assembly for Large-Scale Objects Based on Automatic Guidance and Alignment. IEEE Transactions on Instrumentation and Measurement. 65(6). 1398–1411. 55 indexed citations

11.

Sun, Jia. (2014). Fault Diagnosis of Analog Circuit Based on PCA and PNN. 2 indexed citations

12.

Wang, Peng, et al.. (2014). Polygon detection and Localization based on link-line model. 31. 1874–1880. 2 indexed citations

13.

Qiu, Jinhao, et al.. (2010). Design and test of a novel piezoelectric stack pump. 354–359. 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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