Lexing Xie

7.6k citations
125 papers · 4.4k indexed · 3 hit papers · h-index 30

Lexing Xie

121 papers receiving 4.2k citations

Hit Papers

AutoRec7642012202620162021250500750

Peers

Lexing Xie
Comparison fields: 5 of 153
  • Computer Vision and Pattern Recognition 2.1k
  • Signal Processing 653
  • Information Systems 1.2k
  • Communication 375
  • Artificial Intelligence 1.6k
Replace Yi Chang with:
Yi Chang United States
Joemon M. Jose United Kingdom
Jing Jiang Singapore
Kalervo Järvelin Finland
Prasenjit Mitra United States
Marcos André Gonçalves Brazil
Yangqiu Song China
Hai-Tao Zheng China
Jiafeng Guo China
Lexing Xie relative to Yi Chang United States Yi Chang's profile →
Citations per field
00.5×2.7×
Yi Chang · 1×
Citations per year

Countries citing papers authored by Lexing Xie

Since Specialization
Citations

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

Fields of papers citing papers by Lexing Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20245
4 20232
5 20223
6 202231
7 202115
8 202022
9 202020
10 202023
11 20192
12 201814
13
A little competition never hurt anyone's relevance assessments
20162
14 201481
15
Improving LDA topic models for microblogs via tweet pooling and automatic labelingbreakdown →
2013321
16 20139
17 20121
18
IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System
201015
19 2010153
20
IBM Research TRECVID-2008 Video Retrieval System
200819

About Lexing Xie

Lexing Xie is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Statistical and Nonlinear Physics, having authored 125 papers that have together received 4.4k indexed citations. Recurring topics across this work include Video Analysis and Summarization (40 papers), Advanced Image and Video Retrieval Techniques (26 papers), Image Retrieval and Classification Techniques (22 papers), Complex Network Analysis Techniques (22 papers), Music and Audio Processing (17 papers), Multimodal Machine Learning Applications (13 papers), Data Visualization and Analytics (9 papers) and Opinion Dynamics and Social Influence (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Signal Processing (653 citations) and Information Systems (1.2k citations). Lexing Xie has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Scott Sanner, Shih‐Fu Chang, Aditya Krishna Menon, Apostol Natsev, Ajay Divakaran, Huifang Sun, Hari Sundaram, Wray Buntine, Rishabh Mehrotra and A. P. Mathews.

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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