Hao Tang

9.0k total citations · 5 hit papers
192 papers, 4.1k citations indexed

About

Hao Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hao Tang has authored 192 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 20 papers in Media Technology. Recurrent topics in Hao Tang's work include Generative Adversarial Networks and Image Synthesis (36 papers), Advanced Neural Network Applications (26 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Hao Tang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (36 papers), Advanced Neural Network Applications (26 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Hao Tang collaborates with scholars based in China, United States and Switzerland. Hao Tang's co-authors include Nicu Sebe, Thomas S. Huang, Hong Liu, Lei Ding, Lorenzo Bruzzone, Luc Van Gool, Yan Yan, Dan Xu, Wenhao Li and Philip H. S. Torr and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Hao Tang

171 papers receiving 4.1k citations

Hit Papers

LANet: Local Attention Embedding to Improve the Semantic ... 2020 2026 2022 2024 2020 2022 2022 2022 2024 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
Hao Tang China 34 2.8k 734 721 358 304 192 4.1k
Yue Wu United States 34 4.0k 1.4× 559 0.8× 849 1.2× 309 0.9× 299 1.0× 118 5.1k
Elisa Ricci Italy 35 3.4k 1.2× 522 0.7× 1.7k 2.4× 245 0.7× 543 1.8× 163 5.2k
Di Huang China 35 3.3k 1.2× 336 0.5× 1.0k 1.5× 726 2.0× 289 1.0× 208 4.9k
Ruiping Wang China 34 3.9k 1.4× 714 1.0× 1.3k 1.7× 436 1.2× 218 0.7× 120 5.6k
Nannan Wang China 38 4.0k 1.4× 559 0.8× 804 1.1× 235 0.7× 313 1.0× 246 5.1k
Fadi Dornaika Spain 29 1.9k 0.7× 367 0.5× 716 1.0× 308 0.9× 137 0.5× 228 2.8k
Shang‐Hong Lai Taiwan 28 2.5k 0.9× 454 0.6× 268 0.4× 224 0.6× 224 0.7× 230 3.2k
Hasan Demirel Cyprus 34 2.8k 1.0× 828 1.1× 609 0.8× 397 1.1× 242 0.8× 174 4.6k
Hanzi Wang China 34 3.0k 1.0× 309 0.4× 781 1.1× 298 0.8× 259 0.9× 210 3.6k
Dapeng Tao China 45 3.8k 1.3× 884 1.2× 1.2k 1.7× 98 0.3× 820 2.7× 198 5.0k

Countries citing papers authored by Hao Tang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Tang. A scholar is included among the top collaborators of Hao Tang 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 Hao Tang. Hao Tang 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.
Ren, Haohao, et al.. (2025). Hierarchical Distribution-Based Exemplar Replay for Incremental SAR Automatic Target Recognition. IEEE Transactions on Aerospace and Electronic Systems. 61(3). 6576–6588. 6 indexed citations
2.
Tang, Hao, et al.. (2025). Wakeup-Darkness: When Multimodal Meets Unsupervised Low-Light Image Enhancement. ACM Transactions on Multimedia Computing Communications and Applications. 21(3). 1–25. 3 indexed citations
3.
Shao, Yehong, Siyu Chen, Xiaochen Wang, et al.. (2025). EventVAD: Training-Free Event-Aware Video Anomaly Detection. Research Portal (Queen's University Belfast). 2586–2595.
4.
Tang, Hao, et al.. (2024). A pure MLP-Mixer-based GAN framework for guided image translation. Pattern Recognition. 157. 110894–110894. 1 indexed citations
5.
Pan, Xuhai, Hao Tang, Xi‐Lin Wang, et al.. (2024). In-nozzle flow of superheated liquid release and the influence on the external flashing jet using transparent nozzles. International Journal of Multiphase Flow. 175. 104799–104799. 2 indexed citations
6.
Zhou, Wenbo, et al.. (2024). ControlFace: Feature Disentangling for Controllable Face Swapping. Journal of Imaging. 10(1). 21–21.
7.
Zhao, Zhenghao, et al.. (2024). Monocular Expressive 3D Human Reconstruction of Multiple People. 423–432.
8.
Ren, Haohao, Sen Liu, Xuelian Yu, et al.. (2024). Hybrid Reasoning Network With Class-Oriented Hierarchical Representation for Few-Shot SAR Target Recognition. IEEE Sensors Journal. 24(16). 26091–26103. 5 indexed citations
9.
Li, Zhengang, Alec Lu, Zhenglun Kong, et al.. (2024). Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. 324–337. 3 indexed citations
10.
Ding, Lei, et al.. (2024). Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 87 indexed citations breakdown →
11.
Li, Wenhao, Mengyuan Liu, Hong Liu, et al.. (2024). GraphMLP: A graph MLP-like architecture for 3D human pose estimation. Pattern Recognition. 158. 110925–110925. 15 indexed citations
12.
Kong, Zhenglun, Haoyu Ma, Geng Yuan, et al.. (2023). Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8360–8368. 10 indexed citations
13.
Wang, Haiyang, Hao Tang, Shaoshuai Shi, et al.. (2023). UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation. 6769–6779. 38 indexed citations
14.
Li, Wenhao, Hong Liu, Hao Tang, & Pichao Wang. (2023). Multi-hypothesis representation learning for transformer-based 3D human pose estimation. Pattern Recognition. 141. 109631–109631. 20 indexed citations
15.
Tang, Hao, et al.. (2022). Hierarchical Sketch Induction for Paraphrase Generation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2489–2501. 9 indexed citations
16.
Yan, Xiangyi, Hao Tang, Shanlin Sun, et al.. (2022). AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3270–3280. 100 indexed citations
17.
Hu, Jianming, et al.. (2022). Supervised Multi-Scale Attention-Guided Ship Detection in Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 17 indexed citations
18.
Tang, Hao, et al.. (2021). Research on Intelligent Perception Model of SDN Network Delay. 452–457. 4 indexed citations
19.
Yang, Guanglei, Hao Tang, Mingli Ding, Nicu Sebe, & Elisa Ricci. (2021). Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 16249–16259. 128 indexed citations
20.
Ding, Lei, Hao Tang, & Lorenzo Bruzzone. (2020). LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 59(1). 426–435. 303 indexed citations breakdown →

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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