Xiujun Li

8.1k citations
196 papers · 5.7k · 2 hit papers · h-index 33

Impact in

Papers in

Xiujun Li

186 papers receiving 5.5k citations

Xiujun Li's Hit Papers

VinVL: Revisiting Visual Representations in Vision-Language Models 2021 · 684 citations
6840+2+4Years since publication2505007501000

Peers

Xiujun Li
Comparison fields: 5 of 191
  • Computer Vision and Pattern Recognition 2.0k
  • Artificial Intelligence 1.8k
  • Soil Science 400
  • Modeling and Simulation 146
  • Infectious Diseases 536
Replace Kun Chen with:
Kun Chen China
Haiying Wang China
Witold Remigiusz Rudnicki Poland
Julian J. Faraway United States
Byron Wallace United States
Yang Xiao China
Xiaoping Fan China
Jean‐Michel Poggi France
Miron B. Kursa Poland
Yulia R. Gel United States
Xiujun Li relative to Kun Chen China Kun Chen's profile →
Citations per field
00.5×5×10.8×
Kun Chen · 1×
Citations per year

Countries citing papers authored by Xiujun Li

Since Specialization
Citations

This map shows the geographic impact of Xiujun 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 Xiujun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiujun Li more than expected).

Fields of papers citing papers by Xiujun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiujun 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 Xiujun Li. The network helps show where Xiujun Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiujun Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiujun Li Line = papers co-authored together Xiujun Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Hit paper breakdown →
20201165
2
VinVL: Revisiting Visual Representations in Vision-Language Models
Hit paper breakdown →
2021684
3 2020188
4 2017144
5 2012125
6 2019116
7 2020112
8 2018105
9 202087
10 201586
11 201180
12 202063
13 200359
14 201957
15 201356
16 201956
17 201355
18 199555
19 202054
20 201653

About Xiujun Li

Xiujun Li is a scholar working on Infectious Diseases, Cognitive Neuroscience, Modeling and Simulation, Developmental and Educational Psychology and Soil Science, having authored 196 papers that have together received 5.7k indexed citations. Recurring topics across this work include Viral Infections and Vectors (15 papers), Neurobiology of Language and Bilingualism (13 papers), Reading and Literacy Development (12 papers), Soil Carbon and Nitrogen Dynamics (11 papers), COVID-19 epidemiological studies (11 papers), Coastal wetland ecosystem dynamics (10 papers), Climate Change and Health Impacts (10 papers) and Air Quality and Health Impacts (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Artificial Intelligence (1.8k citations), Soil Science (400 citations), Modeling and Simulation (146 citations) and Infectious Diseases (536 citations). Xiujun Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianfeng Gao, Yejin Choi, Pengchuan Zhang, Chunyuan Li, Lei Zhang, Dong Li, Houdong Hu, Lijuan Wang, Xi Peng Yin and Xiaowei Hu. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health, PLoS neglected tropical diseases, BMC Public Health and Chinese Geographical Science.

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.

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