Qi Long

6.3k citations
209 papers · 4.6k · 2 hit papers · h-index 36

Impact in

Papers in

Qi Long

196 papers receiving 4.5k citations

Qi Long's Hit Papers

Deep learning-based approaches for multi-omics data integration and analysis 2024 · 137 citations
1370+1+2Years since publication4080120

Peers

Qi Long
Comparison fields: 5 of 167
  • Statistics and Probability 550
  • Health Informatics 89
  • Pathology and Forensic Medicine 355
  • Biological Psychiatry 27
  • Genetics 160
Replace Mi‐Ok Kim with:
Mi‐Ok Kim United States
Masha Kocherginsky United States
Vicente E. Torres United States
Mary T. Brophy United States
Donglin Zeng United States
Katherine Liao United States
Elizabeth W. Karlson United States
Tatsuki Koyama United States
Danh V. Nguyen United States
Walter P. Maksymowych Canada
Qi Long relative to Mi‐Ok Kim United States Mi‐Ok Kim's profile →
Citations per field
00.5×2×4×5.4×
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 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018233
2
Deep learning-based approaches for multi-omics data integration and analysis
Hit paper breakdown →
2024137
3 2020136
4 2010125
5 2010123
6 2009114
7 2020111
8 2014110
9 2010106
10 2014100
11 200999
12 201698
13 201687
14 200880
15 201180
16
Long-term Effect of Machine Learning–Triggered Behavioral Nudges on Serious Illness Conversations and End-of-Life Outcomes Among Patients With Cancer
Hit paper breakdown →
202380
17 202380
18 202178
19 201365
20 201363

About Qi Long

Qi Long is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism, Artificial Intelligence, Oncology and Molecular Biology, having authored 209 papers that have together received 4.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (27 papers), Statistical Methods and Bayesian Inference (17 papers), Gene expression and cancer classification (12 papers), Diabetes Management and Research (10 papers), Privacy-Preserving Technologies in Data (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Bioinformatics and Genomic Networks (8 papers) and Advanced Causal Inference Techniques (8 papers). The work is most often cited by research in Statistics and Probability (550 citations), Health Informatics (89 citations), Pathology and Forensic Medicine (355 citations), Biological Psychiatry (27 citations) and Genetics (160 citations). Qi Long has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Changgee Chang, Brent A. Johnson, Yize Zhao, Roberd M. Bostick, W. Dana Flanders, Veronika Fedirko, Xihong Lin, Roderick J. A. Little, Carrie R. Daniel 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.

Explore authors with similar magnitude of impact