Xingdi Yuan
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Computer Science Applications top 10%
- Developmental and Educational Psychology
- Co-authors
- Adam TrischlerTong WangPhilip BachmanAlessandro SordoniKaheer SulemanJustin HarrisMarc-Alexandre CôtéMatthew Hausknecht
- Topics
- Topic Modeling (17 papers)Natural Language Processing Techniques (15 papers)Advanced Text Analysis Techniques (7 papers)
- Journals
- Machine LearningMultimedia Tools and ApplicationsInternational Journal of Artificial Intelligence in Education
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Xingdi Yuan
26 papers receiving 753 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 748
- Computer Vision and Pattern Recognition 314
- Information Systems 95
- Computer Science Applications 29
- Developmental and Educational Psychology 25
Countries citing papers authored by Xingdi Yuan
This map shows the geographic impact of Xingdi Yuan'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 Xingdi Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingdi Yuan more than expected).
Fields of papers citing papers by Xingdi Yuan
This network shows the impact of papers produced by Xingdi Yuan. 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 Xingdi Yuan. The network helps show where Xingdi Yuan may publish in the future.
Co-authorship network of co-authors of Xingdi Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Xingdi Yuan. A scholar is included among the top collaborators of Xingdi Yuan 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 Xingdi Yuan. Xingdi Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 60 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | ALFWorld: Aligning Text and Embodied Environments for Interactive Learning | 31 |
| 9 | 12 | |
| 10 | 38 | |
| 11 | Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. | 9 |
| 12 | 51 | |
| 13 | Rapid Adaptation with Conditionally Shifted Neurons. | 49 |
| 14 | Counting to Explore and Generalize in Text-based Games | 1 |
| 15 | Generating Diverse Numbers of Diverse Keyphrases. | 6 |
| 16 | 15 | |
| 17 | 60 | |
| 18 | A Joint Model for Question Answering and Question Generation | 9 |
| 19 | Learning Rapid-Temporal Adaptations | 6 |
| 20 | NewsQA: A Machine Comprehension Datasetbreakdown → | 374 |
About Xingdi Yuan
Xingdi Yuan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 26 papers that have together received 816 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (15 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (748 citations), Computer Vision and Pattern Recognition (314 citations) and Health Informatics (20 citations). Xingdi Yuan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Adam Trischler, Tong Wang, Philip Bachman, Alessandro Sordoni, Kaheer Suleman, Justin Harris, Marc-Alexandre Côté, Matthew Hausknecht, Tsendsuren Munkhdalai and Soroush Mehri. Their work appears in journals such as Machine Learning, Multimedia Tools and Applications and International Journal of Artificial Intelligence in Education.
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.