Lon‐Mu Liu
- Economics and Econometrics top 2%
- Management Science and Operations Research top 2%
- Statistics and Probability top 1%
- Finance top 2%
- General Economics, Econometrics and Finance top 2%
- Co-authors
- Chung ChenDominique M. HanssensJohn HarrisGeorge C. TiaoRong ChenStanley L. ScloveSiddhartha BhattacharyyaJun Liu
- Topics
- Advanced Statistical Methods and Models (8 papers)Forecasting Techniques and Applications (7 papers)Energy Load and Power Forecasting (4 papers)
- Cited by
- Statistics and ProbabilityGeneral Economics, Econometrics and FinanceManagement Science and Operations Research
- Partner nations
- United StatesCanadaChina
In The Last Decade
Lon‐Mu Liu
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 141
- Economics and Econometrics 426
- Management Science and Operations Research 341
- Statistics and Probability 308
- Finance 269
- General Economics, Econometrics and Finance 266
Countries citing papers authored by Lon‐Mu Liu
This map shows the geographic impact of Lon‐Mu Liu'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 Lon‐Mu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lon‐Mu Liu more than expected).
Fields of papers citing papers by Lon‐Mu Liu
This network shows the impact of papers produced by Lon‐Mu Liu. 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 Lon‐Mu Liu. The network helps show where Lon‐Mu Liu may publish in the future.
Co-authorship network of co-authors of Lon‐Mu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Lon‐Mu Liu. A scholar is included among the top collaborators of Lon‐Mu Liu 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 Lon‐Mu Liu. Lon‐Mu Liu 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 | 29 | |
| 3 | General Autoregressive Conditional Heteroscedastic (GARCH) Modeling Using the SCAB34S NONLIN and SCA WorkBench | 0 |
| 4 | 55 | |
| 5 | THE SCA STATISTICAL SYSTEM REFERENCE MANUAL FOR FUNDAMENTAL CAPABILITIES | 4 |
| 6 | FORECASTING AND TIME SERIES ANALYSIS USING THE SCA STATISTICAL SYSTEM | 126 |
| 7 | 169 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 67 | |
| 11 | 37 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | 121 | |
| 16 | 26 | |
| 17 | 3 | |
| 18 | 29 | |
| 19 | 2 | |
| 20 | 11 |
About Lon‐Mu Liu
Lon‐Mu Liu is a scholar working on Statistics and Probability, Management Science and Operations Research and General Economics, Econometrics and Finance, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Forecasting Techniques and Applications (7 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Statistics and Probability (308 citations), General Economics, Econometrics and Finance (266 citations) and Management Science and Operations Research (341 citations). Lon‐Mu Liu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Chung Chen, Dominique M. Hanssens, John Harris, George C. Tiao, Rong Chen, Stanley L. Sclove, Siddhartha Bhattacharyya, Rong Chen, Jun Liu and Rong Chen. Their work appears in journals such as Journal of the American Statistical Association, Management Science and Journal of Econometrics.
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.