Hao Zhao

1.6k citations
51 papers · 806 · h-index 15

Impact in

Papers in

Hao Zhao

45 papers receiving 785 citations

Peers

Hao Zhao
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 500
  • Computer Graphics and Computer-Aided Design 57
  • Geology 71
  • Media Technology 65
  • Human-Computer Interaction 33
Replace Zan Gao with:
Zan Gao China
Feihu Zhang China
Roman Suvorov Russia
Changyou Chen United States
Yingyan Lin United States
Shanmuganathan Raman India
Carl Vondrick United States
Arun Mallya United States
Pere‐Pau Vázquez Spain
Hao Zhao relative to Zan Gao China Zan Gao's profile →
Citations per field
00.5×10×15×
Zan Gao · 1×
Citations per year

Countries citing papers authored by Hao Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Hao Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hao Zhao, 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 Zhao Line = papers co-authored together Hao Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020152
2 202088
3 201956
4 201747
5 202338
6 201734
7 202231
8 200531
9 202427
10 202426
11 201925
12 201523
13 202022
14 202319
15 202216
16 202214
17 202314
18 202413
19 202412
20 202411

About Hao Zhao

Hao Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Aerospace Engineering and Control and Systems Engineering, having authored 51 papers that have together received 806 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (7 papers), 3D Shape Modeling and Analysis (7 papers), Human Pose and Action Recognition (6 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Multimodal Machine Learning Applications (5 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (500 citations), Computer Graphics and Computer-Aided Design (57 citations), Geology (71 citations), Media Technology (65 citations) and Human-Computer Interaction (33 citations). Hao Zhao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Feng Xu, Yurong Chen, Guyue Zhou, Anbang Yao, Yongdong Zhang, Chenggang Yan, Chao Yang, Fangting Lin, Bin Jiang and Li Zhang. Their work appears in journals such as IEEE Robotics and Automation Letters, Theoretical Computer Science, IEEE Transactions on Pattern Analysis and Machine Intelligence, ISPRS Journal of Photogrammetry and Remote Sensing and International Journal of Computer Vision.

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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