Lirong Chen
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Marketing top 10%
- Pharmacology top 10%
- Pharmacology
- Topics
- Computational Drug Discovery Methods (7 papers)Spam and Phishing Detection (4 papers)Microbial Natural Products and Biosynthesis (4 papers)
In The Last Decade
Lirong Chen
32 papers receiving 482 citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 158
- Computational Theory and Mathematics 103
- Marketing 61
- Pharmacology 60
- Pharmacology 59
Countries citing papers authored by Lirong Chen
This map shows the geographic impact of Lirong 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 Lirong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lirong Chen more than expected).
Fields of papers citing papers by Lirong Chen
This network shows the impact of papers produced by Lirong 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 Lirong Chen. The network helps show where Lirong Chen may publish in the future.
Co-authorship network of co-authors of Lirong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Lirong Chen. A scholar is included among the top collaborators of Lirong 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 Lirong Chen. Lirong 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 | 1 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 46 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | Reflections on the Innovation of College Students' Ideological and Political Education under the Background of New Media | 1 |
| 10 | 17 | |
| 11 | 13 | |
| 12 | 48 | |
| 13 | 8 | |
| 14 | 38 | |
| 15 | 44 | |
| 16 | Complexity-based software defect prediction | 1 |
| 17 | Lifecycle-based software defect prediction technology | 1 |
| 18 | Research on Traveling and Motivating Behavior of Women Tourists——Taking Market in Xidi and Hongcun as An Example | 0 |
| 19 | Research on the financial early-warning system from the choice of financial indexes | 0 |
| 20 | 43 |
About Lirong Chen
Lirong Chen is a scholar working on Tourism, Leisure and Hospitality Management, Hardware and Architecture and Pharmacology, having authored 35 papers that have together received 501 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Spam and Phishing Detection (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). The work is most often cited by research in Pharmacology (60 citations), Marketing (61 citations) and Computational Theory and Mathematics (103 citations). Lirong Chen has collaborated with scholars based in China, Mexico and Canada. Frequent co-authors include Jiangyong Gu, Xiaojie Xu, Wenli Li, Gu Yuan, Fang Luo, Tongtong Guo, Junmei Wang, Tingjun Hou, Xiaojie Xu and Liang Cao. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Microbiology.
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.