Pan Ji

1.8k total citations
37 papers, 915 citations indexed

About

Pan Ji is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Pan Ji has authored 37 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Pan Ji's work include Advanced Vision and Imaging (15 papers), Optical measurement and interference techniques (8 papers) and Robotics and Sensor-Based Localization (7 papers). Pan Ji is often cited by papers focused on Advanced Vision and Imaging (15 papers), Optical measurement and interference techniques (8 papers) and Robotics and Sensor-Based Localization (7 papers). Pan Ji collaborates with scholars based in China, Australia and United States. Pan Ji's co-authors include Hongdong Li, Mathieu Salzmann, Zhenyue Qin, Tom Gedeon, Ying Fu, Hua Huang, Saeed Anwar, Dongwoo Kim, Yuchao Dai and Yi Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Pan Ji

34 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pan Ji China	15	783	230	218	124	63	37	915
Maojun Zhang China	14	801 1.0×	102 0.4×	172 0.8×	181 1.5×	49 0.8×	123	964
Alexander Vezhnevets Switzerland	8	739 0.9×	285 1.2×	100 0.5×	69 0.6×	31 0.5×	12	886
Ruihuang Li Hong Kong	12	613 0.8×	307 1.3×	96 0.4×	79 0.6×	21 0.3×	16	777
Liangchen Song United States	12	920 1.2×	261 1.1×	128 0.6×	107 0.9×	182 2.9×	22	1.2k
Jérôme Revaud South Korea	11	867 1.1×	160 0.7×	99 0.5×	277 2.2×	27 0.4×	21	1.0k
Philippe Weinzaepfel South Korea	12	886 1.1×	267 1.2×	58 0.3×	217 1.8×	91 1.4×	27	1000
Samuel Schulter United States	14	756 1.0×	121 0.5×	330 1.5×	52 0.4×	22 0.3×	31	854
Xudong Li China	16	684 0.9×	199 0.9×	126 0.6×	39 0.3×	55 0.9×	68	831
Fangneng Zhan Singapore	17	787 1.0×	170 0.7×	91 0.4×	33 0.3×	47 0.7×	29	941
Boubakeur Boufama Canada	13	476 0.6×	103 0.4×	77 0.4×	94 0.8×	60 1.0×	59	603

Countries citing papers authored by Pan Ji

Since Specialization

Citations

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

Fields of papers citing papers by Pan Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Ji. A scholar is included among the top collaborators of Pan Ji 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 Pan Ji. Pan Ji 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

Wei, Jiaxin, Xibin Song, Weizhe Liu, et al.. (2024). RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery. ANU Open Research (Australian National University). 2036–2042. 2 indexed citations

Yan, Han, et al.. (2024). BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation. ACM Transactions on Graphics. 43(4). 1–17. 5 indexed citations

Zhang, Yiqun, Zhenyue Qin, Saeed Anwar, et al.. (2024). Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5787–5794.

Cong, Runmin, Chunlei Wu, Xibin Song, et al.. (2024). SRNSD: Structure-Regularized Night-Time Self-Supervised Monocular Depth Estimation for Outdoor Scenes. IEEE Transactions on Image Processing. 33. 5538–5550. 1 indexed citations

Yan, Han, et al.. (2024). Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane. ANU Open Research (Australian National University). 1–11. 1 indexed citations

Oldenburg, Amy L., et al.. (2024). Compressed intracellular motility via non-uniform temporal sampling in dynamic optical coherence tomography. Journal of Biomedical Optics. 29(7). 76002–76002. 1 indexed citations

Yang, Jiayu, et al.. (2024). ConsistNet: Enforcing 3D Consistency for Multi-View Images Diffusion. ANU Open Research (Australian National University). 7079–7088. 9 indexed citations

Qin, Zhenyue, Yang Liu, Pan Ji, et al.. (2022). Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 4783–4797. 65 indexed citations

Zhu, Bin, Zhenyi Li, Xingchao Chen, et al.. (2022). Experimental study on vertical and lateral behaviour of open caisson foundations in clay. Marine Georesources and Geotechnology. 41(5). 555–565. 1 indexed citations

10.

Fang, Pengfei, Pan Ji, Lars Petersson, & Mehrtash Harandi. (2021). Set Augmented Triplet Loss for Video Person Re-Identification. ANU Open Research (Australian National University). 464–473. 6 indexed citations

11.

Ji, Pan, et al.. (2020). Research on Frequency Compatibility of Collaboration-Based Large-Scale NGSO Constellations. Beijing Youdian Xueyuan xuebao. 43(6). 110. 5 indexed citations

12.

Ye, Xiang, et al.. (2019). Incremental Learning Using Conditional Adversarial Networks. IEEE Conference Proceedings. 2019. 6618–6627. 1 indexed citations

13.

Zhuang, Bingbing, Quoc-Huy Tran, Pan Ji, Loong‐Fah Cheong, & Manmohan Chandraker. (2019). Learning Structure-And-Motion-Aware Rolling Shutter Correction. 4546–4555. 34 indexed citations

14.

Fu, Ying, et al.. (2019). Incremental Learning Using Conditional Adversarial Networks. 6618–6627. 110 indexed citations

15.

Zhang, Tong, Pan Ji, Mehrtash Harandi, Wenbing Huang, & Hongdong Li. (2019). Neural Collaborative Subspace Clustering. arXiv (Cornell University). 7384–7393. 4 indexed citations

16.

Ji, Pan, Ian Reid, Ravi Garg, Hongdong Li, & Mathieu Salzmann. (2017). Low-Rank Kernel Subspace Clustering.. arXiv (Cornell University). 9 indexed citations

17.

Ji, Pan. (2014). Multi-source Color Transfer Based on Active Contours Exploration. Acta Automatica Sinica. 1 indexed citations

18.

Yang, Qingqing, et al.. (2014). Fast stereo matching using adaptive guided filtering. Image and Vision Computing. 32(3). 202–211. 65 indexed citations

19.

Ji, Pan. (2013). Experimental Investigation of Constant Pressure Gradient Curved Compression System in Non-Uniform Inflow. Journal of Propulsion Technology. 2 indexed citations

20.

Ji, Pan, et al.. (2012). An automatic 2D to 3D conversion algorithm using multi-depth cues. 7524. 546–550. 7 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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