Junjie Chen
- Molecular Biology top 2%
- Genetics top 5%
- Cancer Research top 5%
- Artificial Intelligence top 5%
- Oncology
- Co-authors
- Bin LiuXiaolong WangKuo‐Chen ChouFule LiuLongyun FangMingyue GuoDeepika WalpitaFergus J. Couch
- Topics
- Machine Learning in Bioinformatics (21 papers)Genomics and Phylogenetic Studies (12 papers)MicroRNA in disease regulation (9 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junjie Chen
131 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 2.6k
- Genetics 456
- Cancer Research 439
- Artificial Intelligence 295
- Oncology 175
Countries citing papers authored by Junjie Chen
This map shows the geographic impact of Junjie Chen'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 Junjie Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjie Chen more than expected).
Fields of papers citing papers by Junjie Chen
This network shows the impact of papers produced by Junjie Chen. 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 Junjie Chen. The network helps show where Junjie Chen may publish in the future.
Co-authorship network of co-authors of Junjie Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Junjie Chen. A scholar is included among the top collaborators of Junjie Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junjie Chen. Junjie Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 20 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 18 | |
| 10 | 13 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 22 | |
| 16 | 18 | |
| 17 | 62 | |
| 18 | Improved outlier detection algorithm based on difference between nearest neighbors distance | 1 |
| 19 | Abstract 14285: Rapamycin Nanoparticles Potently Induce Cardiac Autophagy and Improve Ventricular Function in 18-month Old mdx Mice, The Animal Model of Duchenne Muscular Dystrophy | 1 |
| 20 | The Research on Personalized VM Deployment Mechanism in Cloud | 1 |
About Junjie Chen
Junjie Chen is a scholar working on Cancer Research, Artificial Intelligence and Molecular Biology, having authored 147 papers that have together received 3.6k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (21 papers), Genomics and Phylogenetic Studies (12 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Cancer Research (439 citations) and Genetics (456 citations). Junjie Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Liu, Xiaolong Wang, Kuo‐Chen Chou, Fule Liu, Longyun Fang, Mingyue Guo, Deepika Walpita, Fergus J. Couch, Terry Ashley and David M. Livingston. Their work appears in journals such as Physical Review Letters, Nucleic Acids Research and Circulation.
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.