Juncheng Li

6.5k total citations · 2 hit papers
107 papers, 3.0k citations indexed

About

Juncheng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Juncheng Li has authored 107 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 25 papers in Media Technology. Recurrent topics in Juncheng Li's work include Advanced Image Processing Techniques (26 papers), Advanced Vision and Imaging (15 papers) and Image Processing Techniques and Applications (15 papers). Juncheng Li is often cited by papers focused on Advanced Image Processing Techniques (26 papers), Advanced Vision and Imaging (15 papers) and Image Processing Techniques and Applications (15 papers). Juncheng Li collaborates with scholars based in China, Hong Kong and United States. Juncheng Li's co-authors include Tieyong Zeng, Faming Fang, Florian Metze, Guangwei Gao, Guixu Zhang, Shuhui Qu, Samarjit Das, Hong Liu, Chaoyan Huang and Zhisheng Lu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Juncheng Li

100 papers receiving 2.9k citations

Hit Papers

Transformer for Single Image Super-Resolution 2022 2026 2023 2024 2022 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juncheng Li China 26 1.9k 810 539 387 290 107 3.0k
Wenhan Luo China 32 3.1k 1.6× 711 0.9× 662 1.2× 245 0.6× 135 0.5× 99 3.8k
Mingyi He China 33 2.1k 1.1× 1.4k 1.7× 341 0.6× 203 0.5× 111 0.4× 286 5.1k
Guangyi Chen China 28 1.6k 0.9× 736 0.9× 564 1.0× 233 0.6× 33 0.1× 93 2.8k
Xiao–Tong Yuan China 30 1.4k 0.7× 736 0.9× 548 1.0× 236 0.6× 39 0.1× 115 3.0k
Seung‐Won Jung South Korea 20 1.4k 0.7× 560 0.7× 108 0.2× 106 0.3× 364 1.3× 139 3.0k
Hongying Yang China 30 2.0k 1.1× 658 0.8× 147 0.3× 93 0.2× 63 0.2× 161 2.9k
Yongsheng Gao Australia 31 2.8k 1.5× 610 0.8× 495 0.9× 827 2.1× 15 0.1× 245 4.8k
Chaoqiang Liu China 21 875 0.5× 450 0.6× 166 0.3× 64 0.2× 342 1.2× 60 2.2k
Tao Kong China 20 2.1k 1.1× 326 0.4× 802 1.5× 57 0.1× 20 0.1× 62 3.0k

Countries citing papers authored by Juncheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Juncheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juncheng Li

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

All Works

20 of 20 papers shown
1.
Li, Wenjie, Mei Wang, Kai Zhang, et al.. (2025). Survey on Deep Face Restoration: From Non-blind to Blind and Beyond. ACM Computing Surveys. 58(6). 1–35. 2 indexed citations
2.
Guo, Le‐Hang, et al.. (2024). Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images. Information Processing & Management. 61(6). 103855–103855. 1 indexed citations
3.
Qin, Tao, et al.. (2024). Effect of knock on piston thermal load of a high compression ratio natural gas engine based on stepwise decoupling calculation. Applied Thermal Engineering. 255. 123996–123996. 3 indexed citations
4.
Li, Juncheng, et al.. (2024). EWT: Efficient Wavelet-Transformer for single image denoising. Neural Networks. 177. 106378–106378. 20 indexed citations
5.
Yang, Hongwei, et al.. (2024). An efficient personalized federated learning approach in heterogeneous environments: a reinforcement learning perspective. Scientific Reports. 14(1). 28877–28877. 5 indexed citations
6.
Li, Juncheng, et al.. (2024). A lightweight self-ensemble feedback recurrent network for fast MRI reconstruction. International Journal of Machine Learning and Cybernetics. 16(2). 1201–1218. 1 indexed citations
7.
Sun, Ke, Jing Shi, Ge Jin, et al.. (2024). Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images. Biomedical Signal Processing and Control. 97. 106684–106684.
8.
Zhao, Yang, et al.. (2024). Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network. Expert Systems with Applications. 252. 124255–124255. 5 indexed citations
9.
Li, Juncheng, et al.. (2024). WeaFU: Weather-Informed Image Blind Restoration via Multi-Weather Distribution Diffusion. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13530–13542. 2 indexed citations
10.
Qiao, Liang, Shichong Zhou, Jun Wang, et al.. (2024). Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images. IEEE Transactions on Medical Imaging. 43(7). 2509–2521. 16 indexed citations
11.
Li, Juncheng, et al.. (2023). Snow Mask Guided Adaptive Residual Network for Image Snow Removal. Computer Vision and Image Understanding. 236. 103819–103819. 43 indexed citations
12.
Zhao, Xipo, et al.. (2023). Crystallization behaviors regulations and mechanical performances enhancement approaches of polylactic acid (PLA) biodegradable materials modified by organic nucleating agents. International Journal of Biological Macromolecules. 233. 123581–123581. 84 indexed citations
13.
Gao, Guangwei, et al.. (2023). CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. IEEE Transactions on Image Processing. 32. 1978–1991. 103 indexed citations breakdown →
14.
Wu, Tingting, et al.. (2023). Single-particle reconstruction in cryo-EM based on three-dimensional weighted nuclear norm minimization. Pattern Recognition. 143. 109736–109736. 1 indexed citations
15.
Xu, Guoan, Juncheng Li, Guangwei Gao, et al.. (2023). Lightweight Real-Time Semantic Segmentation Network With Efficient Transformer and CNN. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15897–15906. 81 indexed citations
16.
Zhang, Yiting, Huan Hu, Juncheng Li, et al.. (2022). Effect of maleic anhydride grafted poly(lactic acid) on rheological behaviors and mechanical performance of poly(lactic acid)/poly(ethylene glycol) (PLA/PEG) blends. RSC Advances. 12(49). 31629–31638. 20 indexed citations
17.
Fang, Faming, Juncheng Li, & Tieyong Zeng. (2020). Soft-Edge Assisted Network for Single Image Super-Resolution. IEEE Transactions on Image Processing. 29. 4656–4668. 139 indexed citations
18.
Fang, Faming, et al.. (2020). Multilevel Edge Features Guided Network for Image Denoising. IEEE Transactions on Neural Networks and Learning Systems. 32(9). 3956–3970. 61 indexed citations
19.
Mei, Kangfu, et al.. (2019). HighEr-Resolution Network for Image Demosaicing and Enhancing. 3441–3448. 17 indexed citations
20.
Li, Juncheng, Frank R. Schmidt, & J. Zico Kolter. (2019). Adversarial camera stickers: A physical camera-based attack on deep learning systems. International Conference on Machine Learning. 3896–3904. 13 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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