Longcun Jin

438 total citations
16 papers, 264 citations indexed

About

Longcun Jin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Longcun Jin has authored 16 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 3 papers in Computational Mechanics. Recurrent topics in Longcun Jin's work include Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (8 papers) and Image Processing Techniques and Applications (6 papers). Longcun Jin is often cited by papers focused on Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (8 papers) and Image Processing Techniques and Applications (6 papers). Longcun Jin collaborates with scholars based in China, United Kingdom and Hong Kong. Longcun Jin's co-authors include Xianfang Sun, Yunxuan Wei, Radu Timofte, Shuhang Gu, Hengjie Song, Yawei Li, Changyou Chen, Xiang Zhou, Paul L. Rosin and Zhi‐Quan Cheng and has published in prestigious journals such as IEEE Access, Information Sciences and Applied Sciences.

In The Last Decade

Longcun Jin

16 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longcun Jin China 7 233 114 25 15 12 16 264
Kwok-Wai Hung China 12 399 1.7× 189 1.7× 24 1.0× 16 1.1× 12 1.0× 32 443
Jan Kotera Czechia 7 206 0.9× 110 1.0× 10 0.4× 8 0.5× 5 0.4× 15 227
Kangfu Mei United States 6 202 0.9× 86 0.8× 9 0.4× 15 1.0× 14 1.2× 12 244
Shanxin Yuan China 8 320 1.4× 141 1.2× 8 0.3× 8 0.5× 21 1.8× 16 342
Dingquan Li China 6 274 1.2× 116 1.0× 19 0.8× 7 0.5× 4 0.3× 15 317
Yuting Tang China 5 390 1.7× 269 2.4× 11 0.4× 16 1.1× 15 1.3× 16 449
Eduardo Pérez-Pellitero Germany 8 196 0.8× 85 0.7× 17 0.7× 8 0.5× 3 0.3× 17 225
Meiqin Liu China 9 282 1.2× 85 0.7× 8 0.3× 10 0.7× 51 4.3× 39 318
Xinchen Ye China 5 316 1.4× 158 1.4× 32 1.3× 11 0.7× 17 1.4× 7 332
Zongliang Gan China 9 216 0.9× 114 1.0× 34 1.4× 24 1.6× 13 1.1× 59 291

Countries citing papers authored by Longcun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Longcun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longcun Jin

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

All Works

16 of 16 papers shown
1.
Wei, Yunxuan, Shuhang Gu, Yawei Li, et al.. (2021). Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training. 13380–13389. 96 indexed citations
2.
Chen, Changyou, et al.. (2021). Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution. IEEE Transactions on Multimedia. 24. 1473–1487. 52 indexed citations
3.
Jin, Longcun, et al.. (2020). Guided Dual Networks for Single Image Super-Resolution. IEEE Access. 8. 93608–93620. 5 indexed citations
4.
Jin, Longcun, et al.. (2020). Local-Global Fusion Network for Video Super-Resolution. IEEE Access. 8. 172443–172456. 4 indexed citations
5.
Sun, Xianfang, et al.. (2020). Multi-Resolution Space-Attended Residual Dense Network for Single Image Super-Resolution. IEEE Access. 8. 40499–40511. 7 indexed citations
6.
Xiong, Zheng, et al.. (2020). Panoptic Segmentation-Based Attention for Image Captioning. Applied Sciences. 10(1). 391–391. 3 indexed citations
7.
Jin, Longcun, et al.. (2019). Deformable Non-Local Network for Video Super-Resolution. IEEE Access. 7. 177734–177744. 44 indexed citations
8.
Sun, Xianfang, et al.. (2019). Multi-Scale Residual Hierarchical Dense Networks for Single Image Super-Resolution. IEEE Access. 7. 60572–60583. 18 indexed citations
9.
Liu, Juncheng, Xianfang Sun, Paul L. Rosin, et al.. (2018). An evaluation of canonical forms for non-rigid 3D shape retrieval. Graphical Models. 97. 17–29. 6 indexed citations
10.
Luo, Jingjing, et al.. (2018). Piecewise linear regression-based single image super-resolution via Hadamard transform. Information Sciences. 462. 315–330. 9 indexed citations
11.
Sun, Xianfang, et al.. (2015). Canonical Forms for Non-Rigid 3D Shape Retrieval. ORCA Online Research @Cardiff (Cardiff University). 14 indexed citations
12.
Jin, Longcun. (2015). 3D shape analysis for point clouds using variational geometric. 24. 915–918. 1 indexed citations
13.
Cheng, Xiao, et al.. (2010). Triangle meshes segmentation and its application to region of interest in 3D model. 22. 1148–1154. 1 indexed citations
14.
Jin, Longcun, et al.. (2010). A Robust High-dimensional Data Reduction Method. International Journal of Virtual Reality. 9(1). 55–60. 1 indexed citations
15.
Jin, Longcun, et al.. (2009). A new multimedia information data mining method. 899–902. 2 indexed citations
16.
Jin, Longcun, et al.. (2009). Bayesian of inductive cognition algorithm for adaptive classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7490. 74902Y–74902Y. 1 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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