Xiaochen Hu

452 total citations
24 papers, 324 citations indexed

About

Xiaochen Hu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Xiaochen Hu has authored 24 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Xiaochen Hu's work include Industrial Vision Systems and Defect Detection (6 papers), Photovoltaic System Optimization Techniques (5 papers) and Advanced Neural Network Applications (5 papers). Xiaochen Hu is often cited by papers focused on Industrial Vision Systems and Defect Detection (6 papers), Photovoltaic System Optimization Techniques (5 papers) and Advanced Neural Network Applications (5 papers). Xiaochen Hu collaborates with scholars based in China, United States and United Kingdom. Xiaochen Hu's co-authors include Wuqin Tang, Wenjun Yan, Qiang Yang, Xiaohong Lü, Zhuo Li, Ying Zhang, Mingyang Liu, Steven Y. Liang, Yan He and Zhenyuan Jia and has published in prestigious journals such as Chemical Engineering Journal, Expert Systems with Applications and Solar Energy.

In The Last Decade

Xiaochen Hu

24 papers receiving 312 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaochen Hu China 10 94 74 72 65 44 24 324
Zhongyuan Guo China 11 34 0.4× 72 1.0× 87 1.2× 42 0.6× 24 0.5× 45 323
Kazem Meidani United States 8 105 1.1× 41 0.6× 19 0.3× 43 0.7× 21 0.5× 10 364
Jiayin Wang China 11 85 0.9× 92 1.2× 6 0.1× 52 0.8× 35 0.8× 59 389
Ramdevsinh Jhala India 9 238 2.5× 11 0.1× 40 0.6× 36 0.6× 21 0.5× 23 403
T. Prabaharan India 12 97 1.0× 177 2.4× 13 0.2× 120 1.8× 23 0.5× 33 438
Shibin Yin China 12 224 2.4× 49 0.7× 254 3.5× 75 1.2× 61 1.4× 22 449
Jintao Zhang China 9 59 0.6× 6 0.1× 58 0.8× 48 0.7× 47 1.1× 28 337
Lizhong Yao China 10 74 0.8× 18 0.2× 14 0.2× 41 0.6× 14 0.3× 42 358
Kuang-Hung Liu United States 8 18 0.2× 26 0.4× 17 0.2× 44 0.7× 98 2.2× 13 337

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-authorship network of co-authors of Xiaochen Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochen Hu. A scholar is included among the top collaborators of Xiaochen Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaochen Hu. Xiaochen Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Han, Yue, Mengfang Chen, Xiaochen Hu, et al.. (2024). Eu2+-activated hexagonal aluminate solid solution phosphors with high quantum efficiency and anti-thermal quenching for pc-LEDs. Chemical Engineering Journal. 500. 157274–157274. 2 indexed citations
2.
Yang, Meiyi, Deyun Gao, Xiaochen Hu, & Yajuan Qin. (2023). Cost Efficient Intelligent Sensing Big Data Caching in ICN-IoT Networks. 4033–4038. 2 indexed citations
3.
Sun, Bo, et al.. (2022). An Improved Innovation Adaptive Kalman Filter for Integrated INS/GPS Navigation. Sustainability. 14(18). 11230–11230. 8 indexed citations
4.
Tang, Wuqin, Qiang Yang, Xiaochen Hu, & Wenjun Yan. (2022). Edge Intelligence for Smart EL Images Defects Detection of PV Plants in the IoT-Based Inspection System. IEEE Internet of Things Journal. 10(4). 3047–3056. 23 indexed citations
5.
Fan, Zhaoyan, Xiaochen Hu, & Robert X. Gao. (2022). Indirect Measurement Methods for Quality and Process Control in Nanomanufacturing. Nanomanufacturing and Metrology. 5(3). 209–229. 14 indexed citations
6.
Gao, Yunan, et al.. (2022). Pentamidine inhibits proliferation, migration and invasion in endometrial cancer via the PI3K/AKT signaling pathway. BMC Women s Health. 22(1). 470–470. 7 indexed citations
7.
Tang, Wuqin, Qiang Yang, Xiaochen Hu, & Wenjun Yan. (2022). Convolution neural network based polycrystalline silicon photovoltaic cell linear defect diagnosis using electroluminescence images. Expert Systems with Applications. 202. 117087–117087. 24 indexed citations
8.
Ruan, Chenjie, Wuqin Tang, Xiaochen Hu, & Wenjun Yan. (2021). Deep Learning-based Method for PV Panels Segmentation and Defects Detection with Infrared Images. 2021 China Automation Congress (CAC). 7166–7171. 4 indexed citations
9.
Wang, Ning, Peng Li, Xiaochen Hu, et al.. (2019). Herb Target Prediction Based on Representation Learning of Symptom related Heterogeneous Network. Computational and Structural Biotechnology Journal. 17. 282–290. 31 indexed citations
10.
Li, Zhuo, Xiaochen Hu, Jiafeng Li, Jing Zhang, & Xiaoguang Li. (2019). A Naturalness‐Preserved Low‐Light Enhancement Algorithm for Intelligent Analysis. Chinese Journal of Electronics. 28(2). 316–324. 5 indexed citations
11.
Zhang, Ying, Xinhua Mao, Yan He, Daiyin Zhu, & Xiaochen Hu. (2017). A novel approach to moving targets shadow detection in VideoSAR imagery sequence. 606–609. 33 indexed citations
12.
Lü, Xiaohong, Xiaochen Hu, Zhenyuan Jia, et al.. (2017). Model for the prediction of 3D surface topography and surface roughness in micro-milling Inconel 718. The International Journal of Advanced Manufacturing Technology. 94(5-8). 2043–2056. 52 indexed citations
13.
Jia, Zhenyuan, et al.. (2017). Measurement-based modelling of cutting forces in micro-milling of Inconel 718. International Journal of Nanomanufacturing. 13(1). 1–1. 4 indexed citations
14.
Jiang, Liying, Zhuo Li, Haixia Long, Xiaochen Hu, & Jing Zhang. (2016). Vehicle classification for traffic surveillance videos based on spatial location information and Sparse Representation-based Classifier. 64. 279–284. 3 indexed citations
15.
Lü, Xiaohong, et al.. (2016). Research on the prediction model of micro-milling surface roughness of Inconel718 based on SVM. Industrial Lubrication and Tribology. 68(2). 206–211. 24 indexed citations
16.
Zhang, Qiang, Zhuo Li, Xiaochen Hu, & Jing Zhang. (2016). Fine-grained vehicle recognition using hierarchical fine-tuning strategy for Urban Surveillance Videos. 233–236. 4 indexed citations
17.
18.
Hu, Xiaochen, Zhuo Li, & Xiaoguang Li. (2014). A moving objects based real-time defogging method for traffic monitoring videos. 30. 1–6. 8 indexed citations
19.
Hu, Xiaochen, Zhaogang Qi, Ming Yang, & Jiangping Chen. (2012). A 38 MPa compressor based on metal hydrides. Journal of Shanghai Jiaotong University (Science). 17(1). 53–57. 14 indexed citations
20.
Hu, Xiaochen, Zhaogang Qi, Feng Qin, & Jiangping Chen. (2011). Mechanism Analysis on Stress Accumulation in Cylindrical Vertical-Placed Metal Hydride Reactor. Energy and Power Engineering. 3(4). 490–498. 15 indexed citations

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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