Kim-Hung Pho
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
Papers in
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- Statistical Methods and Bayesian Inference 7
- Statistical Distribution Estimation and Applications 6
- Advanced Statistical Methods and Models 4
- Statistical Methods and Inference 3
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- Bayesian Methods and Mixture Models 4
- Co-authors
- Mohammad Reza Mahmoudi (12 shared papers)Mohsen Maleki (3 shared papers)Darren Wraith (1 shared paper)Mohammad Heydari (3 shared papers)Dumitru Bǎleanu (4 shared papers)Zulkefli Mansor (1 shared paper)Z. Avazzadeh (1 shared paper)Wing‐Keung Wong (2 shared papers)
In The Last Decade
Kim-Hung Pho
24 papers receiving 478 citations
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 189
- Statistics and Probability 77
- Management Science and Operations Research 67
- Economics and Econometrics 116
- Artificial Intelligence 129
Countries citing papers authored by Kim-Hung Pho
This map shows the geographic impact of Kim-Hung Pho'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 Kim-Hung Pho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim-Hung Pho more than expected).
Fields of papers citing papers by Kim-Hung Pho
This network shows the impact of papers produced by Kim-Hung Pho. 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 Kim-Hung Pho. The network helps show where Kim-Hung Pho may publish in the future.
Co-authors
The 18 scholars most cited alongside Kim-Hung Pho, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 156 | |
| 2 | 2020 | 65 | |
| 3 | 2020 | 53 | |
| 4 | 2019 | 29 | |
| 5 | 2019 | 28 | |
| 6 | 2022 | 21 | |
| 7 | 2019 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2023 | 4 |
About Kim-Hung Pho
Kim-Hung Pho is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Management Science and Operations Research and Economics and Econometrics, having authored 27 papers that have together received 487 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Statistical Distribution Estimation and Applications (6 papers), Advanced Statistical Methods and Models (4 papers), Financial Risk and Volatility Modeling (4 papers), Bayesian Methods and Mixture Models (4 papers), COVID-19 diagnosis using AI (3 papers), Statistical Methods and Inference (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Modeling and Simulation (189 citations), Statistics and Probability (77 citations), Management Science and Operations Research (67 citations), Economics and Econometrics (116 citations) and Artificial Intelligence (129 citations). Kim-Hung Pho has collaborated with scholars based in Vietnam, Iran and Taiwan. Frequent co-authors include Mohammad Reza Mahmoudi, Mohsen Maleki, Darren Wraith, Mohammad Heydari, Dumitru Bǎleanu, Zulkefli Mansor, Z. Avazzadeh, Wing‐Keung Wong, Seyed Mohammad Jafar Jalali and Han Woo Park. Their work appears in journals such as Chaos Solitons & Fractals, Journal of Computational and Applied Mathematics, Journal of Intelligent & Fuzzy Systems, Symmetry and Travel Medicine and Infectious Disease.
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.