Xin Li

15.6k citations
484 papers · 9.9k indexed · 5 hit papers · h-index 49

Xin Li

444 papers receiving 9.5k citations

Hit Papers

Flexu...1920012026200920174008001.2k

Peers

Xin Li
Comparison fields: 5 of 195
  • Computer Graphics and Computer-Aided Design 1.0k
  • Computer Vision and Pattern Recognition 5.0k
  • Media Technology 1.2k
  • Computational Mechanics 1.8k
  • Geology 481
Replace Li Liu with:
Li Liu China
Ziwei Liu Singapore
Phillip Isola United States
Jun-Yan Zhu United States
Mohammed Bennamoun Australia
Tsung-Yi Lin United States
Jan Kautz United Kingdom
Wolfgang Heidrich Canada
Tsuhan Chen United States
Wenyu Liu China
Xin Li relative to Li Liu China Li Liu's profile →
Citations per field
00.5×4.3×
Li Liu · 1×
Citations per year

Countries citing papers authored by Xin Li

Since Specialization
Citations

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

Fields of papers citing papers by Xin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xin 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 Xin Li Line = papers co-authored together Xin Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20247
4 202410
5 20243
6 20242
7 20240
8 20242
9 202344
10 20238
11 202320
12 202317
13 202311
14
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understandingbreakdown →
2023197
15 20238
16 20239
17 202211
18 20227
19 201917
20 201812

About Xin Li

Xin Li is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 484 papers that have together received 9.9k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (61 papers), Advanced Vision and Imaging (55 papers), Computer Graphics and Visualization Techniques (49 papers), Advanced Numerical Analysis Techniques (47 papers), Advanced Neural Network Applications (44 papers), Advanced Image and Video Retrieval Techniques (40 papers), Robotics and Sensor-Based Localization (35 papers) and Video Surveillance and Tracking Methods (30 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.0k citations), Computer Vision and Pattern Recognition (5.0k citations) and Media Technology (1.2k citations). Xin Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include M.T. Orchard, Chenglu Wen, Cheng Wang, Hong Qin, Xianfeng Gu, Thomas W. Sederberg, Lidong Bing, Hang Zhang, Hai Wu and Baocai Yin. Their work appears in journals such as Computer-Aided Design, IEEE Transactions on Visualization and Computer Graphics, Pattern Recognition, Optics and Lasers in Engineering and Computers & Graphics.

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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