Gaoang Wang

2.3k total citations
81 papers, 1.2k citations indexed

About

Gaoang Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Gaoang Wang has authored 81 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Gaoang Wang's work include Human Pose and Action Recognition (15 papers), Video Surveillance and Tracking Methods (14 papers) and Advanced Neural Network Applications (13 papers). Gaoang Wang is often cited by papers focused on Human Pose and Action Recognition (15 papers), Video Surveillance and Tracking Methods (14 papers) and Advanced Neural Network Applications (13 papers). Gaoang Wang collaborates with scholars based in China, United States and United Kingdom. Gaoang Wang's co-authors include Jenq–Neng Hwang, Renshu Gu, Yizhou Wang, Wenhao Chai, Haotian Zhang, Zheng Tang, Hao Xiao, Zuozhu Liu, Craig S. Rose and Farron Wallace and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Gaoang Wang

70 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaoang Wang China 21 718 238 149 127 123 81 1.2k
Xu Yang China 15 650 0.9× 254 1.1× 167 1.1× 15 0.1× 102 0.8× 84 1.2k
Guangliang Li China 18 334 0.5× 329 1.4× 150 1.0× 42 0.3× 194 1.6× 83 1.3k
Anders Lyhne Christensen Portugal 24 189 0.3× 602 2.5× 137 0.9× 89 0.7× 84 0.7× 117 1.8k
Liang Liu China 15 1.1k 1.5× 193 0.8× 419 2.8× 82 0.6× 21 0.2× 68 1.6k
Mohd Nadhir Ab Wahab Malaysia 15 366 0.5× 287 1.2× 123 0.8× 86 0.7× 17 0.1× 45 1.1k
Qian Xie China 22 615 0.9× 69 0.3× 198 1.3× 41 0.3× 73 0.6× 101 1.8k
Jinfeng Yang China 26 909 1.3× 226 0.9× 89 0.6× 148 1.2× 31 0.3× 134 2.3k
Wei Xia China 14 572 0.8× 364 1.5× 74 0.5× 27 0.2× 32 0.3× 51 1.2k
Tian-Xing Xu China 5 706 1.0× 347 1.5× 124 0.8× 17 0.1× 38 0.3× 12 1.5k

Countries citing papers authored by Gaoang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gaoang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaoang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gaoang Wang. A scholar is included among the top collaborators of Gaoang Wang 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 Gaoang Wang. Gaoang Wang 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.
Peng, Peng, et al.. (2025). UnICLAM: Contrastive representation learning with adversarial masking for unified and interpretable Medical Vision Question Answering. Medical Image Analysis. 101. 103464–103464. 3 indexed citations
2.
Liu, Jingcheng, et al.. (2025). NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion. Neuromorphic Computing and Engineering. 5(2). 24018–24018. 1 indexed citations
3.
Chai, Wenhao, et al.. (2025). A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision. IEEE Transactions on Visualization and Computer Graphics. 31(10). 9368–9386. 1 indexed citations
4.
Chai, Wenhao, et al.. (2025). Efficient Transfer From Image-Based Large Multimodal Models to Video Tasks. IEEE Transactions on Multimedia. 27. 3045–3056.
5.
Li, Qi, et al.. (2025). Distant supervised relation extraction with label entailment and collaborative denoising. Journal of Intelligent Information Systems. 63(4). 1153–1177.
6.
Chai, Wenhao, Z. G. Zhao, Jingyuan Zhou, et al.. (2024). Ego3DT: Tracking Every 3D Object in Ego-centric Videos. 2945–2954. 1 indexed citations
7.
Zhan, Yibing, et al.. (2024). Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4667–4675.
8.
Chai, Wenhao, Guanhong Wang, Yucheng Zhang, et al.. (2024). MovieChat: From Dense Token to Sparse Memory for Long Video Understanding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 18221–18232. 28 indexed citations
9.
Chai, Wenhao, et al.. (2023). DiffFashion: Reference-Based Fashion Design With Structure-Aware Transfer by Diffusion Models. IEEE Transactions on Multimedia. 26. 3962–3975. 13 indexed citations
10.
Wang, Hongwei, et al.. (2023). Deep Learning Methods for Small Molecule Drug Discovery: A Survey. IEEE Transactions on Artificial Intelligence. 5(2). 459–479. 13 indexed citations
11.
Wu, Tom, et al.. (2023). SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation. 1125–1133. 8 indexed citations
12.
Hao, Jin, Wei Pan, Jianfei Yang, et al.. (2023). Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction. Patterns. 4(9). 100825–100825. 35 indexed citations
13.
Wang, Guanhong, et al.. (2023). Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition. Neurocomputing. 571. 127136–127136. 7 indexed citations
14.
Wang, Yanan, et al.. (2022). pcnaDeep: a fast and robust single-cell tracking method using deep-learning mediated cell cycle profiling. Bioinformatics. 38(20). 4846–4847. 4 indexed citations
15.
Liu, Zuozhu, et al.. (2022). Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans. IEEE Transactions on Medical Imaging. 42(2). 467–480. 22 indexed citations
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18.
Wang, Gaoang, et al.. (2019). Multi-Camera Tracking of Vehicles based on Deep Features Re-ID and Trajectory-Based Camera Link Models. Computer Vision and Pattern Recognition. 416–424. 51 indexed citations
19.
Wang, Gaoang, et al.. (2019). Anomaly Candidate Identification and Starting Time Estimation of Vehicles from Traffic Videos. Computer Vision and Pattern Recognition. 382–390. 19 indexed citations
20.

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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