Xiaochen Hu

28 papers receiving 372 citations

Peers

Xiaochen Hu
Comparison fields: 5 of 71
  • Industrial and Manufacturing Engineering 77
  • Computer Vision and Pattern Recognition 82
  • Energy Engineering and Power Technology 11
  • Media Technology 28
  • Renewable Energy, Sustainability and the Environment 49
Replace Zhongyuan Guo with:
Zhongyuan Guo China
Shibin Yin China
Ramdevsinh Jhala India
Yuan Xu China
Subhransu Padhee India
Chin Hong Wong Malaysia
Raúl García Ovejero Spain
Pan Yu China
Shaosheng Fan China
Xiaochen Hu relative to Zhongyuan Guo China Zhongyuan Guo's profile →
Citations per field
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Zhongyuan Guo · 1×
Citations per year

Countries citing papers authored by Xiaochen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201753
2 201940
3 201734
4 202133
5 202231
6 201627
7 202224
8 202216
9 201115
10 202214
11 201214
12 202411
13 20169
14 20148
15 20168
16 20227
17 20177
18 20196
19 20164
20 20214

About Xiaochen Hu

Xiaochen Hu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Media Technology, Renewable Energy, Sustainability and the Environment and Mechanical Engineering, having authored 31 papers that have together received 381 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (6 papers), Photovoltaic System Optimization Techniques (5 papers), Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (5 papers), Advanced machining processes and optimization (4 papers), Image Enhancement Techniques (3 papers), Advanced Machining and Optimization Techniques (3 papers) and Nuclear Materials and Properties (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (77 citations), Computer Vision and Pattern Recognition (82 citations), Energy Engineering and Power Technology (11 citations), Media Technology (28 citations) and Renewable Energy, Sustainability and the Environment (49 citations). Xiaochen Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wuqin Tang, Wenjun Yan, Qiang Yang, Xiaohong Lü, Zhuo Li, Steven Y. Liang, Song Fu Gao, Mingyang Liu, Zhenyuan Jia and Qiang Yang. Their work appears in journals such as Nanomanufacturing and Metrology, The International Journal of Advanced Manufacturing Technology, IEEE Internet of Things Journal, International Journal of Nanomanufacturing and Chemical Engineering Journal.

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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