Shenghua Gao

12.4k total citations · 5 hit papers
111 papers, 6.7k citations indexed

About

Shenghua Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Shenghua Gao has authored 111 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 14 papers in Computational Mechanics. Recurrent topics in Shenghua Gao's work include Advanced Image and Video Retrieval Techniques (27 papers), Human Pose and Action Recognition (24 papers) and Domain Adaptation and Few-Shot Learning (19 papers). Shenghua Gao is often cited by papers focused on Advanced Image and Video Retrieval Techniques (27 papers), Human Pose and Action Recognition (24 papers) and Domain Adaptation and Few-Shot Learning (19 papers). Shenghua Gao collaborates with scholars based in China, Singapore and United Kingdom. Shenghua Gao's co-authors include Weixin Luo, Wen Liu, Ivor W. Tsang, Dongze Lian, Liang-Tien Chia, Yanyu Xu, Peilin Zhao, Yi Ma, Zhixin Piao and Zehao Yu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Shenghua Gao

108 papers receiving 6.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Future Frame Prediction for Anomaly Detection - A New Baseline

2018 895 citations Wen Liu, Weixin Luo et al. The HKU Scholars Hub (University of Hong Kong) profile →
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

2017 583 citations Weixin Luo, Wen Liu et al. The HKU Scholars Hub (University of Hong Kong) profile →
Remembering history with convolutional LSTM for anomaly detection

2017 398 citations Weixin Luo, Wen Liu et al. profile →
Local features are not lonely – Laplacian sparse coding for image classification

2010 307 citations Shenghua Gao, Peilin Zhao et al. The HKU Scholars Hub (University of Hong Kong) profile →
Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications

2012 274 citations Shenghua Gao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shenghua Gao China	41	4.4k	3.4k	1.6k	857	529	111	6.7k
Amit K. Roy–Chowdhury United States	38	4.2k 1.0×	2.4k 0.7×	1.3k 0.8×	1.1k 1.3×	305 0.6×	210	5.9k
Jun Cheng China	38	2.9k 0.7×	1.4k 0.4×	1.1k 0.7×	728 0.8×	463 0.9×	318	5.5k
Lingqiao Liu Australia	32	2.9k 0.7×	2.4k 0.7×	583 0.4×	584 0.7×	308 0.6×	105	4.7k
Hongtao Lu China	42	2.6k 0.6×	1.6k 0.5×	1.6k 1.0×	345 0.4×	476 0.9×	232	5.3k
Elisa Ricci Italy	35	3.4k 0.8×	1.7k 0.5×	314 0.2×	543 0.6×	522 1.0×	163	5.2k
Gang Hua United States	52	8.0k 1.8×	2.4k 0.7×	249 0.2×	521 0.6×	1.0k 1.9×	251	10.0k
Mingkui Tan China	40	5.4k 1.2×	3.3k 1.0×	175 0.1×	582 0.7×	917 1.7×	151	8.1k
Jun Yu China	44	6.8k 1.6×	3.4k 1.0×	270 0.2×	501 0.6×	948 1.8×	276	9.5k
Timothy M. Hospedales United Kingdom	38	5.7k 1.3×	3.5k 1.0×	175 0.1×	725 0.8×	393 0.7×	132	7.9k
Yang Cong China	31	2.0k 0.5×	1.8k 0.5×	498 0.3×	381 0.4×	134 0.3×	147	3.8k

Countries citing papers authored by Shenghua Gao

Since Specialization

Citations

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

Fields of papers citing papers by Shenghua Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenghua Gao

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

Wu, Chenming, et al.. (2025). Surfel-Based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction From Monocular Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(12). 11502–11518. 2 indexed citations

Zhou, Kang, et al.. (2024). Anatomical Prior and Inter-Slice Consistency for Semi-Supervised Vertebral Structure Detection in 3D Ultrasound Volume. IEEE Journal of Biomedical and Health Informatics. 28(4). 2211–2222.

Lyu, Jia, et al.. (2024). Distribution and Health Risk Assessment of Neonicotinoid Insecticides in Drinking Water of Major River Basins in China. ACS ES&T Water. 4(6). 2644–2654. 2 indexed citations

Kang, Di, et al.. (2024). High-Level Feature Guided Decoding for Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 34(9). 8281–8291. 3 indexed citations

Xu, Jiale, Xintao Wang, Yan‐Pei Cao, et al.. (2023). Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models. The HKU Scholars Hub (University of Hong Kong). 20908–20918. 67 indexed citations

Lian, Dongze, et al.. (2023). Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos. 2437–2447. 9 indexed citations

Cun, Xiaodong, Xuelin Chen, Xi Shen, et al.. (2023). LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation. The HKU Scholars Hub (University of Hong Kong). 20750–20760. 12 indexed citations

Gao, Shenghua, et al.. (2022). Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces. The HKU Scholars Hub (University of Hong Kong). 1–10. 11 indexed citations

Luo, Weixin, et al.. (2022). SVIP: Sequence VerIfication for Procedures in Videos. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19858–19870. 9 indexed citations

10.

Liu, Wen, Zhixin Piao, Zhi Tu, et al.. (2021). Liquid Warping GAN With Attention: A Unified Framework for Human Image Synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 5115–5133. 29 indexed citations

11.

Lian, Dongze, Yin Zheng, Leyu Lin, et al.. (2020). Towards Fast Adaptation of Neural Architectures with Meta Learning. International Conference on Learning Representations. 25 indexed citations

12.

Zhou, Kang, Shenghua Gao, Jun Cheng, et al.. (2020). Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. The HKU Scholars Hub (University of Hong Kong). 1227–1231. 50 indexed citations

13.

Tu, Zhi, Shenghua Gao, Kang Zhou, et al.. (2020). SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading. The HKU Scholars Hub (University of Hong Kong). 1378–1382. 24 indexed citations

14.

Gao, Shenghua, et al.. (2020). Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting. Neurocomputing. 392. 98–107. 31 indexed citations

15.

Luo, Weixin, Wen Liu, Dongze Lian, et al.. (2019). Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 1070–1084. 166 indexed citations

16.

Huang, Kun & Shenghua Gao. (2019). Wireframe Parsing With Guidance of Distance Map. IEEE Access. 7. 141036–141044. 4 indexed citations

17.

Liu, Wen, Weixin Luo, Dongze Lian, & Shenghua Gao. (2018). Future Frame Prediction for Anomaly Detection - A New Baseline. The HKU Scholars Hub (University of Hong Kong). 6536–6545. 895 indexed citations breakdown →

18.

Zhuang, Liansheng, et al.. (2017). Label Information Guided Graph Construction for Semi-Supervised Learning. IEEE Transactions on Image Processing. 26(9). 4182–4192. 61 indexed citations

19.

Luo, Weixin, Wen Liu, & Shenghua Gao. (2017). A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework. The HKU Scholars Hub (University of Hong Kong). 341–349. 583 indexed citations breakdown →

20.

Xu, Yanyu, Nianyi Li, Junru Wu, Jingyi Yu, & Shenghua Gao. (2017). Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. 3887–3893. 17 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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