Yikang Shen
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Polymers and Plastics
- Biomedical Engineering
- Co-authors
- Wenge RongYue DongHerke van HoofJackie Chi Kit CheungEric CrawfordZhongcheng LiuZhang XiongHari Krishna Bisoyi
- Topics
- Topic Modeling (16 papers)Natural Language Processing Techniques (10 papers)Multimodal Machine Learning Applications (6 papers)
- Journals
- Journal of the American Chemical SocietyPlant and SoilIEEE/ACM Transactions on Computational Biology and Bioinformatics
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yikang Shen
25 papers receiving 547 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 311
- Computer Vision and Pattern Recognition 94
- Mechanical Engineering 76
- Polymers and Plastics 75
- Biomedical Engineering 72
Countries citing papers authored by Yikang Shen
This map shows the geographic impact of Yikang Shen'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 Yikang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yikang Shen more than expected).
Fields of papers citing papers by Yikang Shen
This network shows the impact of papers produced by Yikang Shen. 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 Yikang Shen. The network helps show where Yikang Shen may publish in the future.
Co-authorship network of co-authors of Yikang Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Yikang Shen. A scholar is included among the top collaborators of Yikang Shen 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 Yikang Shen. Yikang Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 29 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 28 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 152 | |
| 10 | 50 | |
| 11 | Long Range Arena : A Benchmark for Efficient Transformers | 15 |
| 12 | 2 | |
| 13 | Ordered Memory | 5 |
| 14 | 49 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 27 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | 38 |
About Yikang Shen
Yikang Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 26 papers that have together received 578 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (311 citations), Polymers and Plastics (75 citations) and Computer Vision and Pattern Recognition (94 citations). Yikang Shen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Wenge Rong, Yue Dong, Herke van Hoof, Jackie Chi Kit Cheung, Eric Crawford, Zhongcheng Liu, Zhang Xiong, Hari Krishna Bisoyi, Hong Yang and Shuai Huang. Their work appears in journals such as Journal of the American Chemical Society, Plant and Soil and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.