Jingang Shi

2.1k total citations · 1 hit paper
59 papers, 1.2k citations indexed

About

Jingang Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jingang Shi has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Jingang Shi's work include Advanced Image Processing Techniques (12 papers), Image and Signal Denoising Methods (10 papers) and Human Pose and Action Recognition (9 papers). Jingang Shi is often cited by papers focused on Advanced Image Processing Techniques (12 papers), Image and Signal Denoising Methods (10 papers) and Human Pose and Action Recognition (9 papers). Jingang Shi collaborates with scholars based in China, Finland and Hong Kong. Jingang Shi's co-authors include Guoying Zhao, Zitong Yu, Xiaobai Li, Chun Qi, Wei Peng, Yuan Zong, Philip H. S. Torr, Hengshuang Zhao, Yuming Shen and Zhaoqiang Xia and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors and Actuators B Chemical.

In The Last Decade

Jingang Shi

54 papers receiving 1.2k citations

Hit Papers

PhysFormer: Facial Video-... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingang Shi China 19 588 489 324 234 176 59 1.2k
Noureddine Ellouze Tunisia 15 538 0.9× 100 0.2× 124 0.4× 477 2.0× 395 2.2× 139 1.2k
Wai-Chi Fang Taiwan 16 292 0.5× 193 0.4× 158 0.5× 69 0.3× 138 0.8× 126 921
Mihir Narayan Mohanty India 14 230 0.4× 109 0.2× 63 0.2× 286 1.2× 194 1.1× 216 953
Hoda Mohammadzade Iran 10 238 0.4× 751 1.5× 637 2.0× 72 0.3× 79 0.4× 38 1.1k
Yung‐Hui Li Taiwan 15 349 0.6× 230 0.5× 206 0.6× 137 0.6× 250 1.4× 93 975
Kimiaki Shirahama Germany 16 673 1.1× 214 0.4× 26 0.1× 306 1.3× 97 0.6× 68 1.1k
Allam Jaya Prakash India 15 160 0.3× 157 0.3× 177 0.5× 115 0.5× 43 0.2× 30 633
Ramesh Kumar Sunkaria India 18 144 0.2× 261 0.5× 558 1.7× 86 0.4× 100 0.6× 94 956
Lakhan Dev Sharma India 21 88 0.1× 251 0.5× 574 1.8× 148 0.6× 103 0.6× 67 1.1k
J. S. Sahambi India 15 201 0.3× 340 0.7× 544 1.7× 87 0.4× 178 1.0× 38 988

Countries citing papers authored by Jingang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jingang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jingang Shi. A scholar is included among the top collaborators of Jingang Shi 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 Jingang Shi. Jingang Shi 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.
Huang, Lei, et al.. (2025). Understanding the Dimensional Need of Noncontrastive Learning. IEEE Transactions on Cybernetics. 55(9). 4089–4102. 4 indexed citations
2.
Zhu, Jie, Yuan Zong, Jingang Shi, et al.. (2025). Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition. IEEE Transactions on Affective Computing. 16(4). 2690–2704. 1 indexed citations
3.
Xia, Menghan, Mengyao Yuan, Xin Liu, et al.. (2025). CodePhys: Robust Video-Based Remote Physiological Measurement Through Latent Codebook Querying. IEEE Journal of Biomedical and Health Informatics. 29(7). 4932–4945. 1 indexed citations
4.
Zhang, Yizhu, Jingang Shi, Jiayin Wang, et al.. (2024). MaskFusionNet: A Dual-Stream Fusion Model With Masked Pre-Training Mechanism for rPPG Measurement. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 11521–11534. 9 indexed citations
5.
Cheng, Xu, et al.. (2024). ST-Phys: Unsupervised Spatio-Temporal Contrastive Remote Physiological Measurement. IEEE Journal of Biomedical and Health Informatics. 28(8). 4613–4624. 2 indexed citations
6.
7.
Li, Jianwei, Zitong Yu, & Jingang Shi. (2023). Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1334–1342. 31 indexed citations
8.
Shi, Jingang, et al.. (2023). HyFormer: Hybrid Grouping-Aggregation Transformer and Wide-Spanning CNN for Hyperspectral Image Super-Resolution. Remote Sensing. 15(17). 4131–4131. 2 indexed citations
9.
10.
Shi, Jingang, et al.. (2023). Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution. IEEE Transactions on Multimedia. 26. 2608–2620. 43 indexed citations
11.
Shi, Jingang, et al.. (2023). TVRPCA+: Low-rank and sparse decomposition based on spectral norm and structural sparsity-inducing norm. Signal Processing. 217. 109319–109319. 1 indexed citations
12.
Yu, Zitong, Yuming Shen, Jingang Shi, et al.. (2022). PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4176–4186. 142 indexed citations breakdown →
13.
Peng, Wei, Jingang Shi, & Guoying Zhao. (2021). Spatial Temporal Graph Deconvolutional Network for Skeleton-Based Human Action Recognition. IEEE Signal Processing Letters. 28. 244–248. 52 indexed citations
14.
Yu, Zitong, Xiaobai Li, Jingang Shi, Zhaoqiang Xia, & Guoying Zhao. (2021). Revisiting Pixel-Wise Supervision for Face Anti-Spoofing. IEEE Transactions on Biometrics Behavior and Identity Science. 3(3). 285–295. 76 indexed citations
15.
Yu, Zitong, Xiaobai Li, Xuesong Niu, Jingang Shi, & Guoying Zhao. (2020). AutoHR:a strong end-to-end baseline for remote heart rate measurement with neural searching. University of Oulu Repository (University of Oulu). 97 indexed citations
16.
Chen, Haoyu, Xin Liu, Jingang Shi, & Guoying Zhao. (2020). Temporal Hierarchical Dictionary Guided Decoding for Online Gesture Segmentation and Recognition. IEEE Transactions on Image Processing. 29. 9689–9702. 7 indexed citations
17.
Peng, Wei, Jingang Shi, Zhaoqiang Xia, & Guoying Zhao. (2020). Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition. 1432–1440. 43 indexed citations
18.
Shi, Jingang & Guoying Zhao. (2019). Face Hallucination via Coarse-to-Fine Recursive Kernel Regression Structure. IEEE Transactions on Multimedia. 21(9). 2223–2236. 23 indexed citations
19.
Shi, Jingang, Iman Alikhani, Xiaobai Li, et al.. (2019). Atrial Fibrillation Detection From Face Videos by Fusing Subtle Variations. IEEE Transactions on Circuits and Systems for Video Technology. 30(8). 2781–2795. 46 indexed citations
20.
Shi, Jingang. (2011). Efficient Parallel Dwarf Data Cube Using MapReduce.

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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