Jiandong Ren
- Management Science and Operations Research top 2%
- Demography top 2%
- Mechanical Engineering
- Economics and Econometrics top 10%
- Statistics and Probability top 5%
- Co-authors
- Hanping HongKatsuichiro GodaT. H. NorthAihua WuY. ZhouDavid A. StanfordRičardas ZitikisChen Yang
- Topics
- Probability and Risk Models (28 papers)Insurance, Mortality, Demography, Risk Management (21 papers)Insurance and Financial Risk Management (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Materials ScienceJournal of Materials Processing Technology
- Partner nations
- CanadaChinaUnited Kingdom
In The Last Decade
Jiandong Ren
50 papers receiving 467 citations
Peers
Comparison fields: 5 of 58
- Management Science and Operations Research 242
- Demography 159
- Mechanical Engineering 153
- Economics and Econometrics 136
- Statistics and Probability 89
Countries citing papers authored by Jiandong Ren
This map shows the geographic impact of Jiandong 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 Jiandong Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiandong Ren more than expected).
Fields of papers citing papers by Jiandong Ren
This network shows the impact of papers produced by Jiandong 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 Jiandong Ren. The network helps show where Jiandong Ren may publish in the future.
Co-authorship network of co-authors of Jiandong Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Jiandong Ren. A scholar is included among the top collaborators of Jiandong Ren 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 Jiandong Ren. Jiandong Ren 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 26 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 7 |
About Jiandong Ren
Jiandong Ren is a scholar working on Management Science and Operations Research, Demography and Statistics and Probability, having authored 56 papers that have together received 492 indexed citations. Recurring topics across this work include Probability and Risk Models (28 papers), Insurance, Mortality, Demography, Risk Management (21 papers) and Insurance and Financial Risk Management (16 papers). The work is most often cited by research in Management Science and Operations Research (242 citations), Demography (159 citations) and Statistics and Probability (89 citations). Jiandong Ren has collaborated with scholars based in Canada, China and United Kingdom. Frequent co-authors include Hanping Hong, Katsuichiro Goda, T. H. North, Aihua Wu, Y. Zhou, David A. Stanford, Ričardas Zitikis, Chen Yang, Qi‐Ming He and Guisheng Zou. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Materials Science and Journal of Materials Processing Technology.
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.