Jiwei Li
- Artificial Intelligence top 0.1%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 5%
- Co-authors
- Michel GalleyJianfeng GaoBill DolanChris BrockettDan JurafskyAlan RitterEduard HovyWill Monroe
- Topics
- Topic Modeling (41 papers)Natural Language Processing Techniques (24 papers)Sentiment Analysis and Opinion Mining (9 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jiwei Li
61 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 4.1k
- Computer Vision and Pattern Recognition 1.1k
- Information Systems 736
- Computer Networks and Communications 329
- Sociology and Political Science 252
Countries citing papers authored by Jiwei Li
This map shows the geographic impact of Jiwei 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 Jiwei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiwei Li more than expected).
Fields of papers citing papers by Jiwei Li
This network shows the impact of papers produced by Jiwei 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 Jiwei Li. The network helps show where Jiwei Li may publish in the future.
Co-authorship network of co-authors of Jiwei Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jiwei Li. A scholar is included among the top collaborators of Jiwei 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 Jiwei Li. Jiwei 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 | 1 | |
| 3 | 74 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 118 | |
| 9 | Dice Loss for Data-imbalanced NLP Tasksbreakdown → | 390 |
| 10 | 86 | |
| 11 | Description Based Text Classification with Reinforcement Learning | 7 |
| 12 | Glyce: Glyph-vectors for Chinese Character Representations | 35 |
| 13 | One Shot Domain Adaptation for Person Re-Identification | 1 |
| 14 | Adversarial Learning for Neural Dialogue Generationbreakdown → | 467 |
| 15 | A Persona-Based Neural Conversation Modelbreakdown → | 481 |
| 16 | Deep Reinforcement Learning for Dialogue Generationbreakdown → | 610 |
| 17 | Data Noising as Smoothing in Neural Network Language Models | 48 |
| 18 | A Hierarchical Neural Autoencoder for Paragraphs and Documentsbreakdown → | 293 |
| 19 | 86 | |
| 20 | 26 |
About Jiwei Li
Jiwei Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 65 papers that have together received 5.1k indexed citations. Recurring topics across this work include Topic Modeling (41 papers), Natural Language Processing Techniques (24 papers) and Sentiment Analysis and Opinion Mining (9 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Computer Vision and Pattern Recognition (1.1k citations) and Information Systems (736 citations). Jiwei Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Michel Galley, Jianfeng Gao, Bill Dolan, Chris Brockett, Dan Jurafsky, Alan Ritter, Eduard Hovy, Will Monroe, Fei Wu and Claire Cardie. Their work appears in journals such as Sensors, Information Sciences and Computer Communications.
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.