Kejun He
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Computational Mathematics top 10%
Papers in
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- Statistical Methods and Inference 10
- Statistical Methods and Bayesian Inference 3
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- Tensor decomposition and applications 4
- Co-authors
- Jun Chen (1 shared paper)Huijuan Zhou (1 shared paper)Xianyang Zhang (2 shared papers)Maolei Zhang (3 shared papers)Feizhe Xiao (2 shared papers)Huangkai Zhou (2 shared papers)Xuesong Yang (2 shared papers)Yibing Yang (5 shared papers)
- Journals
- Biometrics (5 papers)World Neurosurgery (2 papers)Nature Communications (2 papers)Neuro-Oncology (1 paper)Brain and Behavior (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kejun He
34 papers receiving 1.1k citations
Kejun He's Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 434
- Computational Mathematics 8
- Molecular Biology 755
- Pathology and Forensic Medicine 58
- Periodontics 12
Countries citing papers authored by Kejun He
This map shows the geographic impact of Kejun He'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 Kejun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejun He more than expected).
Fields of papers citing papers by Kejun He
This network shows the impact of papers produced by Kejun He. 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 Kejun He. The network helps show where Kejun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejun He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A peptide encoded by circular form of LINC-PINT suppresses oncogenic transcriptional elongation in glioblastoma Hit paper breakdown → | 2018 | 573 |
| 2 | LinDA: linear models for differential abundance analysis of microbiome compositional data Hit paper breakdown → | 2022 | 240 |
| 3 | 2022 | 65 | |
| 4 | 2023 | 25 | |
| 5 | 2017 | 21 | |
| 6 | 2019 | 20 | |
| 7 | 2016 | 20 | |
| 8 | 2018 | 19 | |
| 9 | 2025 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2017 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2021 | 3 |
About Kejun He
Kejun He is a scholar working on Statistics and Probability, Computational Mathematics, Artificial Intelligence, Genetics and Computational Mechanics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Sparse and Compressive Sensing Techniques (6 papers), Bayesian Methods and Mixture Models (5 papers), Tensor decomposition and applications (4 papers), Glioma Diagnosis and Treatment (4 papers), Gut microbiota and health (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Cancer Research (434 citations), Computational Mathematics (8 citations), Molecular Biology (755 citations), Pathology and Forensic Medicine (58 citations) and Periodontics (12 citations). Kejun He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Chen, Huijuan Zhou, Xianyang Zhang, Maolei Zhang, Feizhe Xiao, Huangkai Zhou, Xuesong Yang, Yibing Yang, Suyun Huang and Sheng Yan. Their work appears in journals such as Biometrics, World Neurosurgery, Nature Communications, Neuro-Oncology and Brain and Behavior.
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.