Haochen Hu

474 citations
24 papers · 347 · h-index 6

Impact in

Papers in

Haochen Hu

24 papers receiving 342 citations

Peers

Haochen Hu
Comparison fields: 5 of 65
  • Human-Computer Interaction 80
  • Computer Vision and Pattern Recognition 101
  • Signal Processing 40
  • Instrumentation 10
  • Electrical and Electronic Engineering 154
Replace Stanislav Panev with:
Stanislav Panev Bulgaria
Shichao Yue Canada
Sizhe An United States
Andrew Robertson United Kingdom
Stephan Mühlbacher-Karrer Austria
Daniel Göhring Germany
Jesus Suarez United States
Jayakorn Vongkulbhisal United States
Linlin Guo China
Ernst Warsitz Germany
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Citations per field
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Citations per year

Countries citing papers authored by Haochen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Haochen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020206
2 202240
3 202418
4 202214
5 20259
6 20228
7 20236
8 20226
9 20246
10 20215
11 20224
12 20254
13 20253
14 20253
15 20222
16 20202
17 20182
18 20232
19 20182
20 20241

About Haochen Hu

Haochen Hu is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Control and Systems Engineering, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 347 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Composite Structure Analysis and Optimization (4 papers), Gaze Tracking and Assistive Technology (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Vibration and Dynamic Analysis (3 papers), Robotics and Sensor-Based Localization (3 papers), Structural Analysis and Optimization (3 papers) and Advanced battery technologies research (2 papers). The work is most often cited by research in Human-Computer Interaction (80 citations), Computer Vision and Pattern Recognition (101 citations), Signal Processing (40 citations), Instrumentation (10 citations) and Electrical and Electronic Engineering (154 citations). Haochen Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lü Su, Hongfei Xue, Zhi Yuan Sun, Chenglin Miao, Wenjun Jiang, Shiyang Wang, Sen Lin, Srinivasan Murali, Chong Tian and Yue Liu. Their work appears in journals such as Thin-Walled Structures, Advances in Engineering Software, Ocean Engineering, Energy & Fuels and Transactions of Tianjin University.

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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