Bin Ge
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Emergency Medical Services top 2%
- Patient Safety and Medication Errors
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 7
- Advanced Text Analysis Techniques 5
- Co-authors
- Ian D. Duncan (6 shared papers)Su‐Chun Zhang (2 shared papers)John E. Hewett (8 shared papers)Daniel R. Longo (7 shared papers)Shari Schubert (4 shared papers)Robin L. Kruse (4 shared papers)Cheryl L. Shigaki (4 shared papers)Greg Petroski (3 shared papers)
- Journals
- Pharmacology (2 papers)The Journal of Rural Health (2 papers)Journal of the American Medical Directors Association (2 papers)International Journal of Biomathematics (2 papers)Chronic Illness (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Ge
110 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 166
- Developmental Neuroscience 278
- Emergency Medical Services 121
- Geriatrics and Gerontology 44
- Pharmacy 59
- General Health Professions 309
Countries citing papers authored by Bin Ge
This map shows the geographic impact of Bin Ge'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 Bin Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ge more than expected).
Fields of papers citing papers by Bin Ge
This network shows the impact of papers produced by Bin Ge. 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 Bin Ge. The network helps show where Bin Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Ge, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 190 | |
| 2 | 2005 | 162 | |
| 3 | 2010 | 95 | |
| 4 | 2011 | 95 | |
| 5 | 2018 | 95 | |
| 6 | 2021 | 85 | |
| 7 | 2004 | 76 | |
| 8 | 2017 | 74 | |
| 9 | 2010 | 73 | |
| 10 | 2013 | 70 | |
| 11 | 1997 | 69 | |
| 12 | 2000 | 65 | |
| 13 | 2016 | 38 | |
| 14 | 2020 | 37 | |
| 15 | 2008 | 35 | |
| 16 | 2019 | 35 | |
| 17 | 2012 | 34 | |
| 18 | 2015 | 32 | |
| 19 | 2009 | 29 | |
| 20 | 2007 | 29 |
About Bin Ge
Bin Ge is a scholar working on Artificial Intelligence, Computer Networks and Communications, General Health Professions, Information Systems and Computer Vision and Pattern Recognition, having authored 119 papers that have together received 2.1k indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Natural Language Processing Techniques (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Health Literacy and Information Accessibility (5 papers), Advanced Text Analysis Techniques (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Developmental Neuroscience (278 citations), Emergency Medical Services (121 citations), Geriatrics and Gerontology (44 citations), Pharmacy (59 citations) and General Health Professions (309 citations). Bin Ge has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ian D. Duncan, Su‐Chun Zhang, John E. Hewett, Daniel R. Longo, Shari Schubert, Robin L. Kruse, Cheryl L. Shigaki, Greg Petroski, Karen L. Smarr and Weidong Xiao. Their work appears in journals such as Pharmacology, The Journal of Rural Health, Journal of the American Medical Directors Association, International Journal of Biomathematics and Chronic Illness.
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.