Yi Pan
Impact in
- Education top 1%
- Early Childhood Education and Development
- Parental Involvement in Education
- Safety Research top 2%
- Poverty, Education, and Child Welfare
Papers in
-
- Machine Learning in Bioinformatics 4
- Education 16
- Early Childhood Education and Development 9
- Parental Involvement in Education 6
- Co-authors
- Frances A. Campbell (2 shared papers)Elizabeth P. Pungello (2 shared papers)Rodrigo Pinto (1 shared paper)Gabriella Conti (1 shared paper)Seong Hyeok Moon (1 shared paper)James J. Heckman (1 shared paper)Kirsten Kainz (2 shared papers)Diane Early (2 shared papers)
- Journals
- Early Childhood Research Quarterly (5 papers)BMC Genomics (2 papers)IEEE Transactions on Cognitive and Developmental Systems (2 papers)Journal of Teacher Education (2 papers)Sensors (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yi Pan
83 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Education 867
- Safety Research 173
- Pediatrics, Perinatology and Child Health 377
- Developmental and Educational Psychology 234
- Clinical Psychology 375
Countries citing papers authored by Yi Pan
This map shows the geographic impact of Yi Pan'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 Yi Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Pan more than expected).
Fields of papers citing papers by Yi Pan
This network shows the impact of papers produced by Yi Pan. 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 Yi Pan. The network helps show where Yi Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Pan, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Early Childhood Investments Substantially Boost Adult Health Hit paper breakdown → | 2014 | 730 |
| 2 | 2012 | 264 | |
| 3 | 2016 | 124 | |
| 4 | 2014 | 104 | |
| 5 | 2010 | 80 | |
| 6 | 2012 | 51 | |
| 7 | 2012 | 49 | |
| 8 | 2011 | 48 | |
| 9 | 2016 | 47 | |
| 10 | 2016 | 47 | |
| 11 | 2012 | 47 | |
| 12 | 2016 | 45 | |
| 13 | 2017 | 44 | |
| 14 | 2014 | 41 | |
| 15 | 2017 | 40 | |
| 16 | 2022 | 38 | |
| 17 | 2017 | 26 | |
| 18 | 2015 | 25 | |
| 19 | 2016 | 25 | |
| 20 | 2021 | 24 |
About Yi Pan
Yi Pan is a scholar working on Molecular Biology, Education, Artificial Intelligence, Epidemiology and Infectious Diseases, having authored 91 papers that have together received 2.3k indexed citations. Recurring topics across this work include Early Childhood Education and Development (9 papers), Parental Involvement in Education (6 papers), HIV Research and Treatment (5 papers), HIV/AIDS Research and Interventions (4 papers), Optical measurement and interference techniques (4 papers), Machine Learning in Bioinformatics (4 papers), HIV, Drug Use, Sexual Risk (4 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Education (867 citations), Safety Research (173 citations), Pediatrics, Perinatology and Child Health (377 citations), Developmental and Educational Psychology (234 citations) and Clinical Psychology (375 citations). Yi Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Frances A. Campbell, Elizabeth P. Pungello, Rodrigo Pinto, Gabriella Conti, Seong Hyeok Moon, James J. Heckman, Kirsten Kainz, Diane Early, Kelly Maxwell and Oscar A. Barbarin. Their work appears in journals such as Early Childhood Research Quarterly, BMC Genomics, IEEE Transactions on Cognitive and Developmental Systems, Journal of Teacher Education and Sensors.
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.