Qi Long

6.2k citations
197 papers · 3.6k · 1 hit paper · h-index 32

Impact in

Papers in

    • Gene expression and cancer classification 21
    • Bioinformatics and Genomic Networks 20
    • Statistical Methods and Inference 31
    • Statistical Methods and Bayesian Inference 19
    • Statistical Methods in Clinical Trials 12
    • Advanced Causal Inference Techniques 11

Qi Long

189 papers receiving 3.5k citations

Qi Long's Hit Papers

Deep learning-based approaches for multi-omics data integration and analysis 2024 · 87 citations
870+1Years since publication255075

Peers

Qi Long
Comparison fields: 5 of 184
  • Statistics and Probability 395
  • Health Informatics 33
  • Pathology and Forensic Medicine 342
  • Cancer Research 237
  • Biological Psychiatry 38
Replace Mi‐Ok Kim with:
Mi‐Ok Kim United States
Martin Landray United Kingdom
Tim Sprosen United Kingdom
Nuala A. Sheehan United Kingdom
Paul Downey Ireland
Tim Peakman United Kingdom
Aiyi Liu United States
Tim Friede Germany
Giok Ong United Kingdom
Iftikhar J. Kullo United States
Qi Long relative to Mi‐Ok Kim United States Mi‐Ok Kim's profile →
Citations per field
00.5×2.5×
Mi‐Ok Kim · 1×
Citations per year

Countries citing papers authored by Qi Long

Since Specialization
Citations

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

Fields of papers citing papers by Qi Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010123
2 2010121
3 2009110
4 2010105
5 2014100
6 200999
7 201497
8 202095
9
Deep learning-based approaches for multi-omics data integration and analysis
Hit paper breakdown →
202487
10 200786
11 201685
12 201681
13 200879
14 201176
15 202365
16 201365
17 201361
18 201552
19 201251
20 200851

About Qi Long

Qi Long is a scholar working on Molecular Biology, Statistics and Probability, Artificial Intelligence, Oncology and Pulmonary and Respiratory Medicine, having authored 197 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (31 papers), Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (20 papers), Statistical Methods and Bayesian Inference (19 papers), Statistical Methods in Clinical Trials (12 papers), Advanced Causal Inference Techniques (11 papers), Colorectal Cancer Screening and Detection (10 papers) and Genetic factors in colorectal cancer (9 papers). The work is most often cited by research in Statistics and Probability (395 citations), Health Informatics (33 citations), Pathology and Forensic Medicine (342 citations), Cancer Research (237 citations) and Biological Psychiatry (38 citations). Qi Long has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Roberd M. Bostick, Brent A. Johnson, Yize Zhao, Changgee Chang, W. Dana Flanders, Veronika Fedirko, Xihong Lin, Carrie R. Daniel, Roderick J. A. Little and Robin E. Rutherford. Their work appears in journals such as Biometrics, Cancer Epidemiology Biomarkers & Prevention, Statistics in Medicine, Cancer Research and Scientific Reports.

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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