Xiang Lorraine Li
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- Topic Modeling 4
- Natural Language Processing Techniques 3
- Logic, Reasoning, and Knowledge 2
- Semantic Web and Ontologies 2
- Advanced Graph Neural Networks 2
- Explainable Artificial Intelligence (XAI) 1
- Bayesian Modeling and Causal Inference 1
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- Morphological variations and asymmetry 1
- Co-authors
- Kartik TalamadupulaAndrew McCallumPavan KapanipathiShib Sankar DasguptaJordan HoffmannCyprien de Masson d’AutumeAdhiguna KuncoroXuelu Chen
- Journals
- Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Xiang Lorraine Li
5 papers receiving 63 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 55
- Computer Vision and Pattern Recognition 11
- Family Practice 1
- Information Systems 9
- General Social Sciences 1
Countries citing papers authored by Xiang Lorraine Li
This map shows the geographic impact of Xiang Lorraine 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 Xiang Lorraine Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Lorraine Li more than expected).
Fields of papers citing papers by Xiang Lorraine Li
This network shows the impact of papers produced by Xiang Lorraine 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 Xiang Lorraine Li. The network helps show where Xiang Lorraine Li may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Xiang Lorraine Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 0 | |
| 7 | Improving Local Identifiability in Probabilistic Box Embeddings | 2020 | 2 |
About Xiang Lorraine Li
Xiang Lorraine Li is a scholar working on Artificial Intelligence, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 63 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Logic, Reasoning, and Knowledge (2 papers), Semantic Web and Ontologies (2 papers), Advanced Graph Neural Networks (2 papers), Explainable Artificial Intelligence (XAI) (1 paper), Morphological variations and asymmetry (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Artificial Intelligence (55 citations), Computer Vision and Pattern Recognition (11 citations) and Family Practice (1 citation). Xiang Lorraine Li has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kartik Talamadupula, Andrew McCallum, Pavan Kapanipathi, Shib Sankar Dasgupta, Jordan Hoffmann, Cyprien de Masson d’Autume, Adhiguna Kuncoro, Xuelu Chen, Phil Blunsom and Aida Nematzadeh. Their work appears in journals such as Neural Information Processing Systems.
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.