Rui Hou

7.7k citations
117 papers · 1.3k · h-index 22

Impact in

Papers in

Rui Hou

104 papers receiving 1.2k citations

Peers

Rui Hou
Comparison fields: 5 of 141
  • Obstetrics and Gynecology 75
  • Cancer Research 137
  • Health Informatics 11
  • Reproductive Medicine 41
  • Artificial Intelligence 165
Replace Wan Zhu with:
Wan Zhu China
Qiong Li China
Himanshu Arora United States
Ni Wang China
Ji‐Ye Kim South Korea
Jie Ding China
Ahmed Sultan Egypt
Zehong Yang China
Koji Yamazaki Japan
Ioannis Kavakiotis Greece
Rui Hou relative to Wan Zhu China Wan Zhu's profile →
Citations per field
00.5×2.7×
Wan Zhu · 1×
Citations per year

Countries citing papers authored by Rui Hou

Since Specialization
Citations

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

Fields of papers citing papers by Rui Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202055
2 201846
3 202342
4 202342
5
高被覆率単一細胞RNA配列決定および機能的不均一性により同定された体性感覚ニューロン型【Powered by NICT】
201637
6
Diosgenin induces apoptosis in HeLa cells via activation of caspase pathway.
200435
7 201032
8 201431
9 202330
10 202230
11
MiR-491-5p negatively regulates cell proliferation and motility by targeting PDGFRA in prostate cancer.
201730
12 201227
13 202226
14 201226
15 201926
16 202226
17 201625
18 201525
19 201025
20 201623

About Rui Hou

Rui Hou is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Obstetrics and Gynecology and Cancer Research, having authored 117 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (7 papers), Natural Language Processing Techniques (6 papers), Maternal and Perinatal Health Interventions (6 papers), COVID-19 diagnosis using AI (6 papers), Topic Modeling (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Security and Verification in Computing (4 papers). The work is most often cited by research in Obstetrics and Gynecology (75 citations), Cancer Research (137 citations), Health Informatics (11 citations), Reproductive Medicine (41 citations) and Artificial Intelligence (165 citations). Rui Hou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Luo Jiang, Joseph Y. Lo, Ting‐Ting Gong, Qi‐Jun Wu, Bo Zhu, Hong Lu, Yanjun Xu, Bei Lin, Juanjuan Liu and Caixia Liu. Their work appears in journals such as Frontiers in Public Health, International Journal of Molecular Sciences, Oncotarget, Frontiers in Molecular Biosciences and ACS Omega.

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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