Runjian Chen

466 total citations
11 papers, 224 citations indexed

About

Runjian Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Runjian Chen has authored 11 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Runjian Chen's work include Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (3 papers) and Graph Theory and Algorithms (2 papers). Runjian Chen is often cited by papers focused on Advanced Neural Network Applications (3 papers), Robotics and Sensor-Based Localization (3 papers) and Graph Theory and Algorithms (2 papers). Runjian Chen collaborates with scholars based in China, Hong Kong and Australia. Runjian Chen's co-authors include Ping Luo, Wenping Wang, Zhouxia Wang, Jiawei Zhang, Yue Wang, Huan Yin, Rong Xiong, Shoufa Chen, Ding Liang and Chongjian Ge and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Runjian Chen

9 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runjian Chen China 6 124 52 47 31 27 11 224
Yuanjie Dang China 9 162 1.3× 99 1.9× 32 0.7× 29 0.9× 32 1.2× 25 278
Anders Hast Sweden 9 155 1.3× 62 1.2× 39 0.8× 15 0.5× 21 0.8× 64 309
Sergi Caelles Switzerland 2 208 1.7× 33 0.6× 53 1.1× 32 1.0× 24 0.9× 2 295
Chenxin Tao China 6 246 2.0× 63 1.2× 101 2.1× 21 0.7× 36 1.3× 8 322
Xianfang Zeng China 9 222 1.8× 75 1.4× 57 1.2× 37 1.2× 4 0.1× 15 290
Peter Pinggera Germany 4 171 1.4× 52 1.0× 44 0.9× 9 0.3× 24 0.9× 5 236
Pavan Kumar Anasosalu Vasu United States 5 129 1.0× 25 0.5× 54 1.1× 23 0.7× 19 0.7× 6 250
Mingmin Zhen Hong Kong 5 151 1.2× 55 1.1× 59 1.3× 7 0.2× 29 1.1× 8 204
Alasdair Newson France 5 219 1.8× 59 1.1× 25 0.5× 19 0.6× 21 0.8× 15 311

Countries citing papers authored by Runjian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Runjian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runjian Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Runjian Chen. A scholar is included among the top collaborators of Runjian Chen 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 Runjian Chen. Runjian Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Chen, Runjian, Bo Zhang, Hongbin Zhou, et al.. (2025). SPOT: Scalable 3D Pre-Training via Occupancy Prediction for Learning Transferable 3D Representations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 9609–9625.
3.
Chen, Lin, et al.. (2024). CurriculumLoc: Enhancing Cross-Domain Geolocalization Through Multistage Refinement. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 1 indexed citations
4.
Chen, Shoufa, Enze Xie, Chongjian Ge, et al.. (2023). CycleMLP: A MLP-Like Architecture for Dense Visual Predictions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14284–14300. 61 indexed citations
5.
Wang, Tai, Wenwei Zhang, Runjian Chen, et al.. (2023). MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training. 13445–13454. 14 indexed citations
6.
Chen, Runjian, et al.. (2023). Failure-aware Policy Learning for Self-assessable Robotics Tasks. 9544–9550. 2 indexed citations
7.
Wang, Zhouxia, Jiawei Zhang, Runjian Chen, Wenping Wang, & Ping Luo. (2022). RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17491–17500. 66 indexed citations
8.
Yin, Huan, Runjian Chen, Yue Wang, & Rong Xiong. (2021). RaLL: End-to-End Radar Localization on Lidar Map Using Differentiable Measurement Model. IEEE Transactions on Intelligent Transportation Systems. 23(7). 6737–6750. 34 indexed citations
9.
Chen, Runjian, et al.. (2021). Deep Samplable Observation Model for Global Localization and Kidnapping. IEEE Robotics and Automation Letters. 6(2). 2296–2303. 14 indexed citations
10.
Xu, Haoyan, Ziheng Duan, Yueyang Wang, et al.. (2021). Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation. Neurocomputing. 439. 348–362. 30 indexed citations
11.
Xu, Haoyan, Runjian Chen, Yunsheng Bai, et al.. (2020). Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.. arXiv (Cornell University). 2 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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