Hao Tang

9.0k citations
192 papers · 4.1k indexed · 5 hit papers · h-index 34

Hao Tang

171 papers receiving 4.1k citations

Hit Papers

Adapting Segment Anything M...872020202620222024100200300

Peers

Hao Tang
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 2.8k
  • Media Technology 734
  • Human-Computer Interaction 244
  • Experimental and Cognitive Psychology 358
  • Computer Graphics and Computer-Aided Design 92
Replace Elisa Ricci with:
Elisa Ricci Italy
Di Huang China
Dapeng Tao China
Boqing Gong United States
Yue Wu United States
Zhiding Yu United States
Munawar Hayat Australia
Judy Hoffman United States
Nannan Wang China
Fadi Dornaika Spain
Hao Tang relative to Elisa Ricci Italy Elisa Ricci's profile →
Citations per field
00.5×2.7×
Elisa Ricci · 1×
Citations per year

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

The 25 scholars most cited alongside Hao Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hao Tang Line = papers co-authored together Hao Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20256
2 20253
3 20250
4 20241
5 20242
6 20240
7 20240
8 20245
9 20243
10
Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Imagesbreakdown →
202487
11 202415
12 202310
13 202338
14 202320
15 20229
16 2022100
17 202217
18 20214
19 2021128
20
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Imagesbreakdown →
2020303

About Hao Tang

Hao Tang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 192 papers that have together received 4.1k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (36 papers), Advanced Neural Network Applications (26 papers), Advanced Image and Video Retrieval Techniques (26 papers), Advanced Vision and Imaging (25 papers), Face recognition and analysis (22 papers), Human Pose and Action Recognition (20 papers), Advanced Image Processing Techniques (20 papers) and Video Analysis and Summarization (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Media Technology (734 citations), Human-Computer Interaction (244 citations), Experimental and Cognitive Psychology (358 citations) and Computer Graphics and Computer-Aided Design (92 citations). Hao Tang has collaborated with scholars based in China, United States and Switzerland. Frequent 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. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Geoscience and Remote Sensing, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence and CAAI Transactions on Intelligence Technology.

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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