Xiaojun Hou

441 citations
19 papers · 299 · h-index 9

Impact in

Papers in

Xiaojun Hou

18 papers receiving 294 citations

Peers

Xiaojun Hou
Comparison fields: 5 of 66
  • Endocrine and Autonomic Systems 19
  • Cognitive Neuroscience 50
  • Molecular Biology 148
  • Public Health, Environmental and Occupational Health 53
  • Computer Vision and Pattern Recognition 41
Replace Yusaku Katada with:
Yusaku Katada Japan
Chenxi Tian China
P.L. Kaufman United States
Xiaotong Wu China
Folkert K. Horn Germany
Jingqiao Lü China
Yunfan Zhou China
Ryan Chen United States
C. Pérez-Rico Spain
Guannan Li China
Xiaojun Hou relative to Yusaku Katada Japan Yusaku Katada's profile →
Citations per field
00.5×3.7×
Yusaku Katada · 1×
Citations per year

Countries citing papers authored by Xiaojun Hou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201663
2 201060
3 202447
4 201234
5
HNSC exosome-derived MIAT improves cognitive disorders in rats with vascular dementia via the miR-34b-5p/CALB1 axis.
202119
6 201118
7 200713
8 202113
9 202110
10 20215
11 20224
12 20234
13
[Analysis on mutation of adrenoleukodystrophy gene in exon 1 and exon 5].
20032
14 20242
15 20232
16 20231
17 20241
18 20251
19 20240

About Xiaojun Hou

Xiaojun Hou is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Aerospace Engineering and Surgery, having authored 19 papers that have together received 299 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Pluripotent Stem Cells Research (2 papers), Human Pose and Action Recognition (2 papers), Advanced Neural Network Applications (2 papers), Nerve injury and regeneration (2 papers), Signaling Pathways in Disease (2 papers), CRISPR and Genetic Engineering (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (19 citations), Cognitive Neuroscience (50 citations), Molecular Biology (148 citations), Public Health, Environmental and Occupational Health (53 citations) and Computer Vision and Pattern Recognition (41 citations). Xiaojun Hou has collaborated with scholars based in China, United States and France. Frequent co-authors include Shangying Liao, Tang Hai, Chunsheng Han, Jie Hao, Yong Fan, Liu Wang, Xiangpeng Dai, Qi Zhou, Yang Yu and Alice Jouneau. Their work appears in journals such as American Journal of Translational Research, Cell Research, Journal of Biological Chemistry, Frontiers in Molecular Neuroscience and PLoS ONE.

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.

Explore authors with similar magnitude of impact