Riquan Zhang
- Statistics and Probability top 0.5%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Control and Systems Engineering top 10%
- Genetics
- Co-authors
- Jicai LiuWeihua ZhaoZhensheng HuangHeung WongWai-Cheung IpYanghui LiuYehua LiSteven N. Blair
- Topics
- Statistical Methods and Inference (102 papers)Advanced Statistical Methods and Models (50 papers)Statistical Methods and Bayesian Inference (37 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentJournal of Hydrology
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Riquan Zhang
120 papers receiving 919 citations
Peers
Comparison fields: 5 of 112
- Statistics and Probability 632
- Artificial Intelligence 183
- Economics and Econometrics 114
- Control and Systems Engineering 84
- Genetics 61
Countries citing papers authored by Riquan Zhang
This map shows the geographic impact of Riquan Zhang'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 Riquan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riquan Zhang more than expected).
Fields of papers citing papers by Riquan Zhang
This network shows the impact of papers produced by Riquan Zhang. 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 Riquan Zhang. The network helps show where Riquan Zhang may publish in the future.
Co-authorship network of co-authors of Riquan Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Riquan Zhang. A scholar is included among the top collaborators of Riquan Zhang 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 Riquan Zhang. Riquan Zhang 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 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 22 | |
| 9 | 16 | |
| 10 | 5 | |
| 11 | 21 | |
| 12 | 6 | |
| 13 | 42 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 0-1 Distributed Bayesian Test and Application in the Medical Examination | 1 |
| 17 | 13 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 10 |
About Riquan Zhang
Riquan Zhang is a scholar working on Statistics and Probability, Finance and Fuel Technology, having authored 136 papers that have together received 950 indexed citations. Recurring topics across this work include Statistical Methods and Inference (102 papers), Advanced Statistical Methods and Models (50 papers) and Statistical Methods and Bayesian Inference (37 papers). The work is most often cited by research in Statistics and Probability (632 citations), Statistics, Probability and Uncertainty (44 citations) and Artificial Intelligence (183 citations). Riquan Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jicai Liu, Weihua Zhao, Zhensheng Huang, Heung Wong, Wai-Cheung Ip, Yanghui Liu, Yehua Li, Steven N. Blair, Weicheng Zhu and Duck-chul Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.
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.