Yixuan Li
- Artificial Intelligence top 2%
- Organizational Behavior and Human Resource Management top 5%
- Sociology and Political Science top 10%
- Computer Vision and Pattern Recognition top 5%
- Marketing top 5%
- Co-authors
- Mo WangRui HuangRuoxin ZhouYang ZhaoKe TangFeng WangAimin ZhouAnne Burmeister
- Topics
- Anomaly Detection Techniques and Applications (14 papers)Adversarial Robustness in Machine Learning (9 papers)Job Satisfaction and Organizational Behavior (7 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaAcademy of Management Journal
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yixuan Li
75 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 535
- Organizational Behavior and Human Resource Management 241
- Sociology and Political Science 224
- Computer Vision and Pattern Recognition 177
- Marketing 167
Countries citing papers authored by Yixuan Li
This map shows the geographic impact of Yixuan Li'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 Yixuan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yixuan Li more than expected).
Fields of papers citing papers by Yixuan Li
This network shows the impact of papers produced by Yixuan Li. 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 Yixuan Li. The network helps show where Yixuan Li may publish in the future.
Co-authorship network of co-authors of Yixuan Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yixuan Li. A scholar is included among the top collaborators of Yixuan Li 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 Yixuan Li. Yixuan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 27 | |
| 11 | 5 | |
| 12 | 21 | |
| 13 | Model Patching: Closing the Subgroup Performance Gap with Data Augmentation | 3 |
| 14 | Robust Out-of-distribution Detection via Informative Outlier Mining. | 3 |
| 15 | 85 | |
| 16 | 32 | |
| 17 | Understanding the Loss Surface of Neural Networks for Binary Classification | 1 |
| 18 | Principled Detection of Out-of-Distribution Examples in Neural Networks. | 35 |
| 19 | 3 | |
| 20 | The Lifecycle and Cascade of Social Messaging Groups. | 2 |
About Yixuan Li
Yixuan Li is a scholar working on Neuropsychology and Physiological Psychology, Artificial Intelligence and Organizational Behavior and Human Resource Management, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (14 papers), Adversarial Robustness in Machine Learning (9 papers) and Job Satisfaction and Organizational Behavior (7 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (241 citations), Marketing (167 citations) and Artificial Intelligence (535 citations). Yixuan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mo Wang, Rui Huang, Ruoxin Zhou, Yang Zhao, Ke Tang, Feng Wang, Aimin Zhou, Anne Burmeister, Danielle D. van Jaarsveld and Xin Luo. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Academy of Management Journal.
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.