Linjie Li
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Signal Processing top 10%
- Control and Systems Engineering
- Computer Networks and Communications
- Co-authors
- Zhe GanJingjing LiuYu ChengLicheng YuLijuan WangZicheng LiuJie LeiLuowei Zhou
- Topics
- Multimodal Machine Learning Applications (22 papers)Domain Adaptation and Few-Shot Learning (18 papers)Human Pose and Action Recognition (8 papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of DiseaseFrontiers in PharmacologyJournal of Vision
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Linjie Li
34 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.0k
- Signal Processing 50
- Control and Systems Engineering 36
- Computer Networks and Communications 26
Countries citing papers authored by Linjie Li
This map shows the geographic impact of Linjie 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 Linjie Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjie Li more than expected).
Fields of papers citing papers by Linjie Li
This network shows the impact of papers produced by Linjie 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 Linjie Li. The network helps show where Linjie Li may publish in the future.
Co-authorship network of co-authors of Linjie Li
This figure shows the co-authorship network connecting the top 25 collaborators of Linjie Li. A scholar is included among the top collaborators of Linjie 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 Linjie Li. Linjie 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 | 1 | |
| 2 | 0 | |
| 3 | Multimodal Foundation Models: From Specialists to General-Purpose Assistantsbreakdown → | 54 |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 84 | |
| 12 | SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioningbreakdown → | 166 |
| 13 | 7 | |
| 14 | 31 | |
| 15 | VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation | 1 |
| 16 | Less is More: CLIPBERT for Video-and-Language Learning via Sparse Samplingbreakdown → | 372 |
| 17 | 31 | |
| 18 | Large-Scale Adversarial Training for Vision-and-Language Representation Learning | 15 |
| 19 | HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingbreakdown → | 265 |
| 20 | 241 |
About Linjie Li
Linjie Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (22 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (1.0k citations) and Health Informatics (12 citations). Linjie Li has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Zhe Gan, Jingjing Liu, Yu Cheng, Licheng Yu, Lijuan Wang, Zicheng Liu, Jie Lei, Luowei Zhou, Mohit Bansal and Tamara L. Berg. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Frontiers in Pharmacology and Journal of Vision.
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.