Fang Yin
- Strategy and Management top 2%
- Biomedical Engineering top 10%
- Management Information Systems top 2%
- Cognitive Neuroscience top 5%
- Information Systems and Management top 1%
- Co-authors
- Anitesh BaruaPrabhudev KonanaAndrew B. WhinstonGuang H. YueVinod SahgalVlodek SiemionowRobert GarfinkelRam D. Gopal
- Topics
- Muscle activation and electromyography studies (8 papers)Motor Control and Adaptation (7 papers)Auction Theory and Applications (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fang Yin
56 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Strategy and Management 423
- Biomedical Engineering 414
- Management Information Systems 385
- Cognitive Neuroscience 358
- Information Systems and Management 347
Countries citing papers authored by Fang Yin
This map shows the geographic impact of Fang Yin'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 Fang Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Yin more than expected).
Fields of papers citing papers by Fang Yin
This network shows the impact of papers produced by Fang Yin. 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 Fang Yin. The network helps show where Fang Yin may publish in the future.
Co-authorship network of co-authors of Fang Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yin. A scholar is included among the top collaborators of Fang Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Yin. Fang Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 30 | |
| 6 | 26 | |
| 7 | 25 | |
| 8 | Knowledge graph-enhanced molecular contrastive learning with functional promptbreakdown → | 106 |
| 9 | 48 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 33 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | Study on Crops Classification Based on Multi-spectral Image and Decision Tree Method | 1 |
| 17 | Application Of Different Operative Approaches in Thyroidectomy | 0 |
| 18 | Study on the effect of DEM spatial resolution and sampling algorithms on runoff simulation by BTOPMC | 3 |
| 19 | 461 | |
| 20 | Driving E-Business Excellence | 179 |
About Fang Yin
Fang Yin is a scholar working on Human-Computer Interaction, Marketing and Business and International Management, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (8 papers), Motor Control and Adaptation (7 papers) and Auction Theory and Applications (5 papers). The work is most often cited by research in Information Systems and Management (347 citations), Management Information Systems (385 citations) and Marketing (272 citations). Fang Yin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Anitesh Barua, Prabhudev Konana, Andrew B. Whinston, Guang H. Yue, Vinod Sahgal, Vlodek Siemionow, Robert Garfinkel, Ram D. Gopal, Bhavik K. Pathak and Andrew B. Whinston. Their work appears in journals such as Nature Communications, PLoS ONE and PLANT PHYSIOLOGY.
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.