Long Feng
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Mechanical Engineering top 10%
- Aluminum Alloys Composites Properties
Papers in
-
- Statistical Methods and Inference 22
- Advanced Statistical Methods and Models 14
- Random Matrices and Applications 6
- Co-authors
- Changliang Zou (11 shared papers)Zhaojun Wang (12 shared papers)L.C. Tsao (3 shared papers)Tung‐Han Chuang (1 shared paper)Shih‐Ying Chang (2 shared papers)H.K. Lin (1 shared paper)Lina Yao (1 shared paper)Lixing Zhu (3 shared papers)
- Journals
- Journal of Business and Economic Statistics (4 papers)Statistica Sinica (3 papers)Journal of Multivariate Analysis (3 papers)Journal of Econometrics (3 papers)Electronic Journal of Statistics (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Long Feng
68 papers receiving 676 citations
Peers
Comparison fields: 5 of 70
- Statistics and Probability 212
- Mechanical Engineering 235
- Ecological Modeling 23
- Statistics, Probability and Uncertainty 34
- Ceramics and Composites 25
Countries citing papers authored by Long Feng
This map shows the geographic impact of Long Feng'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 Long Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Feng more than expected).
Fields of papers citing papers by Long Feng
This network shows the impact of papers produced by Long Feng. 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 Long Feng. The network helps show where Long Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Feng, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 111 | |
| 2 | 2012 | 69 | |
| 3 | 2014 | 34 | |
| 4 | 2013 | 33 | |
| 5 | 2015 | 33 | |
| 6 | 2016 | 31 | |
| 7 | 2015 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2016 | 19 | |
| 11 | 2011 | 17 | |
| 12 | 2013 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2018 | 14 | |
| 15 | 2014 | 14 | |
| 16 | 2011 | 14 | |
| 17 | 2024 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2017 | 10 |
About Long Feng
Long Feng is a scholar working on Statistics and Probability, Mechanical Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 81 papers that have together received 681 indexed citations. Recurring topics across this work include Statistical Methods and Inference (22 papers), Advanced Statistical Methods and Models (14 papers), earthquake and tectonic studies (7 papers), Spatial and Panel Data Analysis (7 papers), Fault Detection and Control Systems (6 papers), Random Matrices and Applications (6 papers), Fluid Dynamics and Heat Transfer (5 papers) and ZnO doping and properties (5 papers). The work is most often cited by research in Statistics and Probability (212 citations), Mechanical Engineering (235 citations), Ecological Modeling (23 citations), Statistics, Probability and Uncertainty (34 citations) and Ceramics and Composites (25 citations). Long Feng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Changliang Zou, Zhaojun Wang, L.C. Tsao, Tung‐Han Chuang, Shih‐Ying Chang, H.K. Lin, Lina Yao, Lixing Zhu, Lina Yao and Jiwen Liu. Their work appears in journals such as Journal of Business and Economic Statistics, Statistica Sinica, Journal of Multivariate Analysis, Journal of Econometrics and Electronic Journal of Statistics.
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.