Jiehong Lin

515 citations
7 papers · 197 indexed · h-index 5
Topics
Robot Manipulation and Learning (4 papers)Robotics and Sensor-Based Localization (3 papers)Adversarial Robustness in Machine Learning (2 papers)
Partner nations
ChinaHong KongSweden

In The Last Decade

Jiehong Lin

7 papers receiving 193 citations

Peers

Jiehong Lin
Comparison fields: 5 of 34
  • Computer Vision and Pattern Recognition 103
  • Control and Systems Engineering 87
  • Artificial Intelligence 67
  • Aerospace Engineering 55
  • Computational Mechanics 35
Replace Christopher Xie with:
Christopher Xie United States
Bokui Shen United States
Jean Lahoud United Arab Emirates
Andrew J. Davison United Kingdom
P. Wunsch United States
Abhilash Srikantha Germany
Erwan Guillou France
Andreas Richtsfeld Austria
Xiangyang Ji China
Yusuke Yoshiyasu Japan
Jiehong Lin relative to Christopher Xie United States Christopher Xie's profile →
Citations per field
00.5×6.6×
Christopher Xie · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 1
2 30
3 1
4 16
5 77
6 68
7
Geometry-aware Generation of Adversarial and Cooperative Point Clouds
4

About Jiehong Lin

Jiehong Lin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 7 papers that have together received 197 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Robotics and Sensor-Based Localization (3 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (103 citations), Control and Systems Engineering (87 citations) and Instrumentation (12 citations). Jiehong Lin has collaborated with scholars based in China, Hong Kong and Sweden. Frequent co-authors include Kui Jia, Yuxin Wen, Ke Chen, C. L. Philip Chen, Songcen Xu, Zhihao Li, Yuanqing Li, Yabin Zhang, Yichen Zhang and Ruihuang Li. Their work appears in 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).

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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