Hao Hu

2.1k citations
86 papers · 1.5k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Hao Hu

78 papers receiving 1.5k citations

Hit Papers

Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale 2014 · 446 citations
4462014202620182022100200300400

Peers

Hao Hu
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 699
  • Signal Processing 286
  • Computer Networks and Communications 291
  • Computational Mechanics 183
  • Geology 47
Replace Changxi Zheng with:
Changxi Zheng United States
Yangang Wang China
Federico Thomas Spain
Guiqing Li China
Bing Xiao China
Jihong Zhu China
Hao Shen Germany
F. Palmieri Italy
Sikun Li China
Yi Fang China
Hao Hu relative to Changxi Zheng United States Changxi Zheng's profile →
Citations per field
00.5×1.6×
Changxi Zheng · 1×
Citations per year

Countries citing papers authored by Hao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20252
6 20244
7 20242
8 20247
9 20244
10 20245
11 20236
12 20238
13 20237
14 20218
15 202010
16 202013
17 20191
18
Principle Analysis and Experimental Study of Vibration Assisted Polishing
20161
19 201115
20 201051

About Hao Hu

Hao Hu is a scholar working on Computer Vision and Pattern Recognition, Geology, Mechanical Engineering, Computational Mechanics and Biomedical Engineering, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (29 papers), Optical measurement and interference techniques (17 papers), Advanced machining processes and optimization (15 papers), Advanced Measurement and Metrology Techniques (15 papers), Laser Material Processing Techniques (9 papers), Advanced Vision and Imaging (8 papers), Image and Object Detection Techniques (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (699 citations), Signal Processing (286 citations), Computer Networks and Communications (291 citations), Computational Mechanics (183 citations) and Geology (47 citations). Hao Hu has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Xiaoqing Zhu, Rong Pan, David Oran, Ali C. Begen, Joshua Gahm, Zhi Li, Nan Jiang, Xiaoqiang Peng, Yifan Dai and Yu Zhou. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Optics and Lasers in Engineering, Applied Optics, Measurement Science and Technology and Optics Express.

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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