Jiehong Lin

515 total citations
7 papers, 197 citations indexed

About

Jiehong Lin is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Jiehong Lin has authored 7 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Jiehong Lin's work include Robot Manipulation and Learning (4 papers), Robotics and Sensor-Based Localization (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Jiehong Lin is often cited by papers focused on Robot Manipulation and Learning (4 papers), Robotics and Sensor-Based Localization (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Jiehong Lin collaborates with scholars based in China, Hong Kong and Sweden. Jiehong Lin's co-authors include Kui Jia, Yuxin Wen, Ke Chen, C. L. Philip Chen, Songcen Xu, Yuanqing Li, Zhihao Li, Yabin Zhang, Yaowei Wang and Yabin Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Jiehong Lin

7 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiehong Lin China	5	103	87	67	55	35	7	197
Bokui Shen United States	5	121 1.2×	48 0.6×	36 0.5×	44 0.8×	17 0.5×	12	170
Christopher Xie United States	6	147 1.4×	60 0.7×	48 0.7×	47 0.9×	16 0.5×	7	187
Yan Di Germany	7	203 2.0×	179 2.1×	27 0.4×	122 2.2×	29 0.8×	14	267
Yusuke Yoshiyasu Japan	10	177 1.7×	57 0.7×	52 0.8×	67 1.2×	60 1.7×	37	249
Guillermo Garcia-Hernando United Kingdom	7	154 1.5×	95 1.1×	40 0.6×	61 1.1×	16 0.5×	12	218
Abhilash Srikantha Germany	4	245 2.4×	130 1.5×	30 0.4×	19 0.3×	22 0.6×	10	301
Ye Zheng China	8	92 0.9×	39 0.4×	89 1.3×	19 0.3×	8 0.2×	13	195
Eli VanderBilt United States	3	167 1.6×	38 0.4×	23 0.3×	23 0.4×	106 3.0×	3	258
P. Wunsch United States	6	223 2.2×	33 0.4×	28 0.4×	107 1.9×	9 0.3×	6	282
Andreas Richtsfeld Austria	6	208 2.0×	58 0.7×	18 0.3×	151 2.7×	30 0.9×	12	263

Countries citing papers authored by Jiehong Lin

Since Specialization

Citations

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

Fields of papers citing papers by Jiehong Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiehong Lin

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

7 of 7 papers shown

1.

Zhang, Yabin, Jiehong Lin, Ruihuang Li, Kui Jia, & Lei Zhang. (2025). Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16279–16293. 1 indexed citations

2.

Lin, Jiehong, et al.. (2024). SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation. 27906–27916. 30 indexed citations

3.

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

4.

Lin, Jiehong, et al.. (2023). VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. 13955–13965. 16 indexed citations

5.

Lin, Jiehong, et al.. (2021). DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3540–3549. 77 indexed citations

6.

Wen, Yuxin, Jiehong Lin, Ke Chen, C. L. Philip Chen, & Kui Jia. (2020). Geometry-Aware Generation of Adversarial Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(6). 2984–2999. 68 indexed citations

7.

Wen, Yuxin, Jiehong Lin, Ke Chen, & Kui Jia. (2019). Geometry-aware Generation of Adversarial and Cooperative Point Clouds. 4 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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