Xinwen Hou

86 total papers · 1.4k total citations
43 papers, 904 citations indexed

About

Xinwen Hou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Xinwen Hou has authored 43 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Xinwen Hou's work include Face and Expression Recognition (10 papers), Adversarial Robustness in Machine Learning (8 papers) and Reinforcement Learning in Robotics (8 papers). Xinwen Hou is often cited by papers focused on Face and Expression Recognition (10 papers), Adversarial Robustness in Machine Learning (8 papers) and Reinforcement Learning in Robotics (8 papers). Xinwen Hou collaborates with scholars based in China, United States and Singapore. Xinwen Hou's co-authors include Yifeng Pan, Cheng‐Lin Liu, Chenglin Liu, Qiansheng Cheng, Xiaobo Jin, Hao Zhang, S.Z. Li, Xiaoguang Lu, Xianhua Peng and Sipan Li and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and Pattern Recognition.

In The Last Decade

Xinwen Hou

39 papers receiving 846 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xinwen Hou	723	226	182	56	35	43	904
Saeid Belkasim	671 0.9×	113 0.5×	118 0.6×	63 1.1×	16 0.5×	62	874
Hichem Sahbi	539 0.7×	142 0.6×	345 1.9×	47 0.8×	24 0.7×	85	802
Nafiz Arıca	716 1.0×	287 1.3×	189 1.0×	47 0.8×	47 1.3×	55	934
Teófilo de Campos	603 0.8×	126 0.6×	231 1.3×	86 1.5×	88 2.5×	43	816
Gemma Roig	407 0.6×	99 0.4×	242 1.3×	45 0.8×	31 0.9×	49	843
Jamshid Shanbehzadeh	678 0.9×	158 0.7×	166 0.9×	41 0.7×	60 1.7×	69	921
Mohand Saïd Allili	520 0.7×	202 0.9×	210 1.2×	35 0.6×	16 0.5×	55	810
Yaoqi Sun	629 0.9×	108 0.5×	94 0.5×	36 0.6×	31 0.9×	53	845
Haitao Wang	525 0.7×	116 0.5×	97 0.5×	77 1.4×	26 0.7×	23	731
Jianfeng Zhang	536 0.7×	104 0.5×	97 0.5×	42 0.8×	46 1.3×	50	701

Countries citing papers authored by Xinwen Hou

Since Specialization

Citations

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

Fields of papers citing papers by Xinwen Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinwen Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Xinwen Hou. A scholar is included among the top collaborators of Xinwen Hou 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 Xinwen Hou. Xinwen Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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