Yaping Chang
- Pharmacology top 5%
- Cannabis and Cannabinoid Research 5
- Geriatrics and Gerontology top 10%
-
- Meta-analysis and systematic reviews 6
-
- Infant Nutrition and Health 5
-
- Anesthesia and Pain Management 4
-
- Health Systems, Economic Evaluations, Quality of Life 4
-
- Infant Development and Preterm Care 4
-
- Neonatal Respiratory Health Research 4
-
- Pain Mechanisms and Treatments 4
- Co-authors
- Gordon GuyattMohit BhandariTahira DevjiJason W. BusseLehana ThabaneBehnam SadeghiradElie A. AklRachel Couban
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Yaping Chang
60 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 159
- Anesthesiology and Pain Medicine 182
- Pharmacology 262
- Cardiology and Cardiovascular Medicine 316
- Geriatrics and Gerontology 51
- Public Health, Environmental and Occupational Health 379
Countries citing papers authored by Yaping Chang
This map shows the geographic impact of Yaping Chang'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 Yaping Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Chang more than expected).
Fields of papers citing papers by Yaping Chang
This network shows the impact of papers produced by Yaping Chang. 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 Yaping Chang. The network helps show where Yaping Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaping Chang, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 39 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 186 | |
| 14 | 2018 | 55 | |
| 15 | An Improved Algorithm of Binary Balanced Tree with Super Large-scale Data Set | 2018 | 3 |
| 16 | 2018 | 55 | |
| 17 | 2017 | 122 | |
| 18 | 2017 | 16 | |
| 19 | 2016 | 42 | |
| 20 | 2016 | 227 |
About Yaping Chang
Yaping Chang is a scholar working on Statistics, Probability and Uncertainty, Anesthesiology and Pain Medicine and Applied Psychology, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Infant Nutrition and Health (5 papers), Cannabis and Cannabinoid Research (5 papers), Anesthesia and Pain Management (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Infant Development and Preterm Care (4 papers), Neonatal Respiratory Health Research (4 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (182 citations), Pharmacology (262 citations) and Cardiology and Cardiovascular Medicine (316 citations). Yaping Chang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Gordon Guyatt, Mohit Bhandari, Tahira Devji, Jason W. Busse, Lehana Thabane, Behnam Sadeghirad, Elie A. Akl, Rachel Couban, Meng Zhu and Christopher Vannabouathong. Their work appears in journals such as Journal of Clinical Epidemiology, BMJ Open, BMJ, Therapeutic Advances in Musculoskeletal Disease and Pain Medicine.
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.