Ting Fung
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- Respiratory Support and Mechanisms 2
- Lung Cancer Diagnosis and Treatment 2
- Chronic Obstructive Pulmonary Disease (COPD) Research 2
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- Viral Infections and Vectors 2
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- Respiratory viral infections research 4
- Pneumonia and Respiratory Infections 4
- Influenza Virus Research Studies 3
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- COVID-19 and healthcare impacts 3
- Co-authors
- Msm IpKing‐Pui Florence ChanPak‐Leung HoWang Chun KwokJcm HoDavid Chi Leung LamTerence Chi Chun TamChun Yip Yau
- Journals
- Journal of the American Statistical Association (1 paper)American Psychologist (1 paper)Journal of Colloid and Interface Science (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Ting Fung
27 papers receiving 271 citations
Peers
Comparison fields: 5 of 97
- Reproductive Medicine 36
- Modeling and Simulation 12
- Health Informatics 3
- Pulmonary and Respiratory Medicine 68
- Infectious Diseases 35
Countries citing papers authored by Ting Fung
This map shows the geographic impact of Ting Fung'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 Ting Fung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Fung more than expected).
Fields of papers citing papers by Ting Fung
This network shows the impact of papers produced by Ting Fung. 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 Ting Fung. The network helps show where Ting Fung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ting Fung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 22 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 2 | |
| 16 | Fertilizer Response Curve Analysis by Bootstrapping Residuals [R package FertBoot version 0.5.0] | 2021 | 1 |
| 17 | 2021 | 0 | |
| 18 | 2020 | 67 | |
| 19 | 2016 | 12 | |
| 20 | 2001 | 37 |
About Ting Fung
Ting Fung is a scholar working on Statistics and Probability, Modeling and Simulation and Infectious Diseases, having authored 29 papers that have together received 273 indexed citations. Recurring topics across this work include Respiratory viral infections research (4 papers), Pneumonia and Respiratory Infections (4 papers), Influenza Virus Research Studies (3 papers), COVID-19 and healthcare impacts (3 papers), Respiratory Support and Mechanisms (2 papers), Viral Infections and Vectors (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Reproductive Medicine (36 citations), Modeling and Simulation (12 citations) and Health Informatics (3 citations). Ting Fung has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Msm Ip, King‐Pui Florence Chan, Pak‐Leung Ho, Wang Chun Kwok, Jcm Ho, David Chi Leung Lam, Terence Chi Chun Tam, Chun Yip Yau, Daniel P. Walsh and Hon S. Ip. Their work appears in journals such as Journal of the American Statistical Association, American Psychologist and Journal of Colloid and Interface Science.
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.