Li Hou

729 citations
26 papers · 197 · h-index 8

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 8
    • Bioinformatics and Genomic Networks 3
    • Machine Learning in Bioinformatics 2
    • Cancer Cells and Metastasis 2

Li Hou

26 papers receiving 196 citations

Peers

Li Hou
Comparison fields: 5 of 71
  • Cancer Research 44
  • Health Informatics 3
  • Obstetrics and Gynecology 13
  • Molecular Biology 101
  • Health Information Management 4
Replace Benjamin J. Lengerich with:
Benjamin J. Lengerich United States
Xiao Liang China
Artur Belov United States
Alberto Indacochea Spain
Anupriya Dalmia United Kingdom
Stefanie Warnat‐Herresthal Germany
Grace Hsu Canada
Hisani N. Horne United States
Youting Sun United States
Li Hou relative to Benjamin J. Lengerich United States Benjamin J. Lengerich's profile →
Citations per field
00.5×1.5×1.9×
Benjamin J. Lengerich · 1×
Citations per year

Countries citing papers authored by Li Hou

Since Specialization
Citations

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

Fields of papers citing papers by Li Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201841
2 202233
3 202015
4 202115
5 202314
6 201513
7 201710
8
[Screening for lymphatic metastasis-associated genes in mouse hepatocarcinoma cell lines Hca-F and Hca-P using gene chip].
20058
9
[Relationship between lymph node metastasis and the expressions of E-cadherin, N-cadherin, and matrix metalloproteinase in breast carcinoma].
20026
10 20215
11 20224
12 20174
13 20223
14 20183
15 20203
16 20183
17 20223
18 20093
19 20242
20 20202

About Li Hou

Li Hou is a scholar working on Molecular Biology, Oncology, Artificial Intelligence, Surgery and Computational Theory and Mathematics, having authored 26 papers that have together received 197 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers), Topic Modeling (3 papers), Machine Learning in Bioinformatics (2 papers), Cancer Cells and Metastasis (2 papers), Abdominal vascular conditions and treatments (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Cancer Research (44 citations), Health Informatics (3 citations), Obstetrics and Gynecology (13 citations), Molecular Biology (101 citations) and Health Information Management (4 citations). Li Hou has collaborated with scholars based in China, Netherlands and Canada. Frequent co-authors include Jiao Li, Jing Fang, Ran Meng, Xuchen Cao, Yang Yu, Hongyu Kang, Jiarong Wang, Ding Yuan, Lina Wang and Wenyan Wang. Their work appears in journals such as BMC Medical Informatics and Decision Making, Mathematical Biosciences & Engineering, Orthopaedics & Traumatology Surgery & Research, Health Information Science and Systems and Cancer Biomarkers.

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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