Nianjin Ye

514 total citations
8 papers, 205 citations indexed

About

Nianjin Ye is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Nianjin Ye has authored 8 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 1 paper in Computational Mechanics. Recurrent topics in Nianjin Ye's work include Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Robotics and Sensor-Based Localization (3 papers). Nianjin Ye is often cited by papers focused on Advanced Vision and Imaging (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Robotics and Sensor-Based Localization (3 papers). Nianjin Ye collaborates with scholars based in China, United States and India. Nianjin Ye's co-authors include Shuaicheng Liu, Chuan Wang, Bing Zeng, Haoqiang Fan, Hao Xu, Guanghui Liu, Kunming Luo, Jue Wang, Yuhang Lu and Chunyu Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Nianjin Ye

7 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nianjin Ye China	6	154	60	48	39	24	8	205
Valeria Garro Italy	8	156 1.0×	72 1.2×	48 1.0×	29 0.7×	13 0.5×	26	223
Andréas Meuleman South Korea	7	178 1.2×	60 1.0×	25 0.5×	34 0.9×	12 0.5×	13	228
Mingmin Zhen Hong Kong	5	151 1.0×	55 0.9×	21 0.4×	17 0.4×	29 1.2×	8	204
Yiqun Wang China	9	110 0.7×	35 0.6×	28 0.6×	66 1.7×	21 0.9×	37	214
Enliang Zheng United States	7	233 1.5×	94 1.6×	61 1.3×	32 0.8×	26 1.1×	11	266
Tai Wang China	6	172 1.1×	88 1.5×	44 0.9×	52 1.3×	14 0.6×	9	240
Jason Ramapuram Switzerland	3	157 1.0×	39 0.7×	26 0.5×	21 0.5×	11 0.5×	3	210
Jonathan T. Barron United Kingdom	5	197 1.3×	24 0.4×	39 0.8×	117 3.0×	14 0.6×	8	284
Jens Ackermann Germany	9	236 1.5×	32 0.5×	55 1.1×	52 1.3×	10 0.4×	13	296

Countries citing papers authored by Nianjin Ye

Since Specialization

Citations

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

Fields of papers citing papers by Nianjin Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nianjin Ye

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

All Works

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8 of 8 papers shown

1.

Liu, Shuaicheng, et al.. (2024). Unsupervised Global and Local Homography Estimation With Coplanarity-Aware GAN. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1863–1876.

2.

Lu, Yuhang, et al.. (2022). Unsupervised Homography Estimation with Coplanarity-Aware GAN. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17642–17651. 31 indexed citations

3.

Xu, Hao, Nianjin Ye, Guanghui Liu, Bing Zeng, & Shuaicheng Liu. (2022). FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2848–2856. 52 indexed citations

4.

Liu, Shuaicheng, Yuhang Lu, Hai Jiang, et al.. (2022). Unsupervised Global and Local Homography Estimation With Motion Basis Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7885–7899. 14 indexed citations

5.

Liu, Shuaicheng, Nianjin Ye, Chuan Wang, et al.. (2022). Content-Aware Unsupervised Deep Homography Estimation and Its Extensions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 1–1. 25 indexed citations

6.

Liu, Shuaicheng, Kunming Luo, Nianjin Ye, et al.. (2021). OIFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning. IEEE Transactions on Image Processing. 30. 6420–6433. 28 indexed citations

7.

Ye, Nianjin, Chuan Wang, Haoqiang Fan, & Shuaicheng Liu. (2021). Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13097–13105. 52 indexed citations

8.

Ye, Nianjin, et al.. (2021). Single Exposure High Dynamic Range Image Reconstruction Based on Deep Dual-Branch Network. IEEE Access. 9. 9610–9624. 3 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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