Jun Ren
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Bioengineering top 10%
- Analytical Chemistry and Sensors
Papers in
-
- Single-cell and spatial transcriptomics 3
- Bioinformatics and Genomic Networks 3
-
- Advanced battery technologies research 3
- Co-authors
- Jinbo Xiong (6 shared papers)Zhiqiang Yao (4 shared papers)Ming‐Wei Lin (4 shared papers)Dapeng Wu (1 shared paper)Ben Niu (1 shared paper)Lei Chen (1 shared paper)Xiaotian Zhang (1 shared paper)Kosei Hirakawa (1 shared paper)
- Journals
- BioMed Research International (2 papers)Applied Surface Science (1 paper)Ceramics International (1 paper)The Ocular Surface (1 paper)Oncology Reports (1 paper)
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Jun Ren
27 papers receiving 525 citations
Peers
Comparison fields: 5 of 106
- Computer Science Applications 35
- Bioengineering 36
- Artificial Intelligence 135
- Pharmacology 32
- Computational Theory and Mathematics 57
Countries citing papers authored by Jun Ren
This map shows the geographic impact of Jun Ren'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 Jun Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ren more than expected).
Fields of papers citing papers by Jun Ren
This network shows the impact of papers produced by Jun Ren. 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 Jun Ren. The network helps show where Jun Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ren, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 152 | |
| 2 | 2019 | 86 | |
| 3 | 2006 | 77 | |
| 4 | 2020 | 55 | |
| 5 | 2017 | 25 | |
| 6 | 2020 | 22 | |
| 7 | 2022 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2016 | 12 | |
| 12 | 2016 | 10 | |
| 13 | Research progress on secure data deduplication in cloud | 2016 | 5 |
| 14 | 2019 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2023 | 4 | |
| 17 | [miR-148b-3p inhibits the proliferation and autophagy of acute myeloid leukemia cells by targeting ATG14]. | 2021 | 4 |
| 18 | 2014 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2024 | 2 |
About Jun Ren
Jun Ren is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Artificial Intelligence, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 29 papers that have together received 539 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Supercapacitor Materials and Fabrication (3 papers), Advanced battery technologies research (3 papers), Single-cell and spatial transcriptomics (3 papers), Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers), Cloud Data Security Solutions (3 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Computer Science Applications (35 citations), Bioengineering (36 citations), Artificial Intelligence (135 citations), Pharmacology (32 citations) and Computational Theory and Mathematics (57 citations). Jun Ren has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Jinbo Xiong, Zhiqiang Yao, Ming‐Wei Lin, Dapeng Wu, Ben Niu, Lei Chen, Xiaotian Zhang, Kosei Hirakawa, Masakazu Yashiro and Dokyun Na. Their work appears in journals such as BioMed Research International, Applied Surface Science, Ceramics International, The Ocular Surface and Oncology 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.