Cheng–Der Fuh
- Finance top 5%
- Statistics and Probability top 2%
- Statistics, Probability and Uncertainty top 2%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Co-authors
- Inchi HuYajun MeiKrishna B. AthreyaCharles ChangTze Leung LaiGerold AlsmeyerCun‐Hui ZhangEdward H. Ip
- Topics
- Probability and Risk Models (13 papers)Stochastic processes and statistical mechanics (13 papers)Financial Risk and Volatility Modeling (12 papers)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Cheng–Der Fuh
53 papers receiving 403 citations
Peers
Comparison fields: 5 of 65
- Finance 145
- Statistics and Probability 135
- Statistics, Probability and Uncertainty 106
- Management Science and Operations Research 99
- Artificial Intelligence 94
Countries citing papers authored by Cheng–Der Fuh
This map shows the geographic impact of Cheng–Der Fuh'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 Cheng–Der Fuh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng–Der Fuh more than expected).
Fields of papers citing papers by Cheng–Der Fuh
This network shows the impact of papers produced by Cheng–Der Fuh. 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 Cheng–Der Fuh. The network helps show where Cheng–Der Fuh may publish in the future.
Co-authorship network of co-authors of Cheng–Der Fuh
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng–Der Fuh. A scholar is included among the top collaborators of Cheng–Der Fuh 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 Cheng–Der Fuh. Cheng–Der Fuh 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | Modeling and predicting extrapolated probabilities with outlooks - Comments | 1 |
| 10 | Optimal stationary binary quantizer for decentralized quickest change detection in hidden Markov models | 1 |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 10 | |
| 17 | Invited Discussion of "Sequential Analysis: Some Classical Problems and New Challenges | 18 |
| 18 | 13 | |
| 19 | 17 | |
| 20 | 0 |
About Cheng–Der Fuh
Cheng–Der Fuh is a scholar working on Statistics and Probability, Finance and Mathematical Physics, having authored 57 papers that have together received 426 indexed citations. Recurring topics across this work include Probability and Risk Models (13 papers), Stochastic processes and statistical mechanics (13 papers) and Financial Risk and Volatility Modeling (12 papers). The work is most often cited by research in Statistics and Probability (135 citations), Statistics, Probability and Uncertainty (106 citations) and Finance (145 citations). Cheng–Der Fuh has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Inchi Hu, Yajun Mei, Krishna B. Athreya, Charles Chang, Tze Leung Lai, Gerold Alsmeyer, Cun‐Hui Zhang, Edward H. Ip, Wen‐Liang Hung and Jinn‐Shing Lee. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Biometrika.
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.