Kejun He
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Bayesian Methods and Mixture Models 4
- Bayesian Modeling and Causal Inference 3
-
- Statistical Methods and Inference 9
- Advanced Statistical Methods and Models 2
- Co-authors
- Xianyang Zhang (2 shared papers)Huijuan Zhou (1 shared paper)Jun Chen (1 shared paper)Maolei Zhang (3 shared papers)Huangkai Zhou (2 shared papers)Xuesong Yang (2 shared papers)Feizhe Xiao (2 shared papers)Yibing Yang (5 shared papers)
- Journals
- Biometrics (5 papers)Nature Communications (2 papers)World Neurosurgery (2 papers)Brain and Behavior (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kejun He
28 papers receiving 987 citations
Kejun He's Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 422
- Computational Mathematics 7
- Molecular Biology 725
- Pathology and Forensic Medicine 57
- Periodontics 13
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 41 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 | 558 |
| 2 | LinDA: linear models for differential abundance analysis of microbiome compositional data Hit paper breakdown → | 2022 | 207 |
| 3 | 2022 | 61 | |
| 4 | 2023 | 22 | |
| 5 | 2017 | 20 | |
| 6 | 2016 | 20 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 19 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 8 | |
| 11 | 2017 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2014 | 2 |
About Kejun He
Kejun He is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Computational Mechanics and Computational Mathematics, having authored 41 papers that have together received 997 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Sparse and Compressive Sensing Techniques (6 papers), Bayesian Methods and Mixture Models (4 papers), Tensor decomposition and applications (4 papers), Gut microbiota and health (3 papers), Bayesian Modeling and Causal Inference (3 papers), Glioma Diagnosis and Treatment (3 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Cancer Research (422 citations), Computational Mathematics (7 citations), Molecular Biology (725 citations), Pathology and Forensic Medicine (57 citations) and Periodontics (13 citations). Kejun He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xianyang Zhang, Huijuan Zhou, Jun Chen, Maolei Zhang, Huangkai Zhou, Xuesong Yang, Feizhe Xiao, Yibing Yang, Sheng Yan and Suyun Huang. Their work appears in journals such as Biometrics, Nature Communications, World Neurosurgery, Brain and Behavior and Journal of Magnetic Resonance Imaging.
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.