2026 Lexing Xie: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	46	6747	6553	214	213	195	11012

Lexing Xie publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lexing Xie sits on this spectrum.

32 publications 991+

This scientist: 195 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Lexing Xie D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Lexing Xie sits on this spectrum.

30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Lexing Xie is affiliated with the Australian National University in Australia and has an extensive publication record primarily in the field of Computer Science, with a focus on Artificial Intelligence, Statistical and Nonlinear Physics, and Computer Vision and Pattern Recognition among other areas.

Their research spans multiple subfields, including:

Artificial Intelligence
Statistical and Nonlinear Physics
Computer Vision and Pattern Recognition
Sociology and Political Science
Molecular Biology

Lexing Xie has contributed to a variety of topics within these subfields, notably in:

Complex Network Analysis Techniques
Opinion Dynamics and Social Influence
Social Media and Politics
Misinformation and Its Impacts
Point processes and geometric inequalities
Computational and Text Analysis Methods
Hate Speech and Cyberbullying Detection

The scholar's works have been published in several venues, with frequent contributions to:

arXiv (Cornell University)
Proceedings of the International AAAI Conference on Web and Social Media
Aging and Disease
Brain Behavior and Immunity
2022 ACM Conference on Fairness, Accountability, and Transparency

Recent publications by Lexing Xie include:

Single-cell RNA sequencing of peripheral blood reveals that monocytes with high cathepsin S expression aggravate cerebral ischemia-reperfusion injury (2022, Brain Behavior and Immunity)
The Lifecyle of a Youtube Video: Phases, Content and Popularity (2021, Proceedings of the International AAAI Conference on Web and Social Media)
Event Diffusion Patterns in Social Media (2021, Proceedings of the International AAAI Conference on Web and Social Media)
Holo-UNet: hologram-to-hologram neural network restoration for high fidelity low light quantitative phase imaging of live cells (2020, Biomedical Optics Express)
Roslingifier: Semi-Automated Storytelling for Animated Scatterplots (2022, IEEE Transactions on Visualization and Computer Graphics)

Collaborative work features several frequent coauthors, highlighting a network of researchers working in related fields. These include:

Alasdair Tran
Qingwu Yang
Tuan Dung Nguyen
Alexander Soen
Qi Xie

Best Publications

AutoRec: Autoencoders Meet Collaborative Filtering

Suvash Sedhain;Aditya Krishna Menon;Scott Sanner;Lexing Xie

1294
Citations
Social media use by government: From the routine to the critical

Andrea L. Kavanaugh;Edward A. Fox;Steven D. Sheetz;Seungwon Yang

822
Citations
Social media use by government: from the routine to the critical

Andrea Kavanaugh;Edward A. Fox;Steven Sheetz;Seungwon Yang

733
Citations
Improving LDA topic models for microblogs via tweet pooling and automatic labeling

Rishabh Mehrotra;Scott Sanner;Wray Buntine;Lexing Xie

587
Citations
Algorithms and system for segmentation and structure analysis in soccer video

Peng Xu;Lexing Xie;Shih-Fu Chang;A. Divakaran

353
Citations
How Does the Data Sampling Strategy Impact the Discovery of Information Diffusion in Social Media

Munmun De Choudhury;Yu Ru Lin;Hari Sundaram;K. Selçuk Candan

327
Citations
Structure analysis of soccer video with hidden Markov models

Lexing Xie;Shih-Fu Chang;Ajay Divakaran;Huifang Sun

326
Citations
Structure analysis of soccer video with domain knowledge and hidden Markov models

Lexing Xie;Peng Xu;Shih-Fu Chang;Ajay Divakaran

287
Citations
Physics-motivated features for distinguishing photographic images and computer graphics

Tian-Tsong Ng;Shih-Fu Chang;Jessie Hsu;Lexing Xie

276
Citations
Semantic concept-based query expansion and re-ranking for multimedia retrieval

Apostol (Paul) Natsev;Alexander Haubold;Jelena Tešić;Lexing Xie

239
Citations
SentiCap: generating image descriptions with sentiments

Alexander Mathews;Lexing Xie;Xuming He

232
Citations
Columbia University TRECVID-2005 Video Search and High-Level Feature Extraction.

Shih-Fu Chang;Winston H. Hsu;Lyndon S. Kennedy;Lexing Xie

210
Citations
Detecting Stress Based on Social Interactions in Social Networks

Huijie Lin;Jia Jia;Jiezhong Qiu;Yongfeng Zhang

201
Citations
Feature Driven and Point Process Approaches for Popularity Prediction

Swapnil Mishra;Marian-Andrei Rizoiu;Lexing Xie

195
Citations
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity

Marian-Andrei Rizoiu;Lexing Xie;Scott Sanner;Manuel Cebrian

189
Citations
Semantic Model Vectors for Complex Video Event Recognition

M. Merler;B. Huang;Lexing Xie;Gang Hua

175
Citations
IBM Research TRECVID-2006 Video Retrieval System

Murray Campbell;Alexander Haubold;Shahram Ebadollahi;Dhiraj Joshi

162
Citations
IBM Research TRECVID-2007 Video Retrieval System

Murray Campbell;Alexander Haubold;Ming Liu;Apostol Natsev

162
Citations
Social collaborative filtering for cold-start recommendations

Suvash Sedhain;Scott Sanner;Darius Braziunas;Lexing Xie

150
Citations
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations

Marian-Andrei Rizoiu;Swapnil Mishra;Quyu Kong;Mark Carman

147
Citations
A utility framework for the automatic generation of audio-visual skims

Hari Sundaram;Lexing Xie;Shih-Fu Chang

133
Citations

Frequent Co-Authors

Apostol Natsev Google (United States)

Shih-Fu Chang Columbia University

John R. Smith IBM (United States)

Scott Sanner University of Toronto

Hari Sundaram University of Illinois at Urbana-Champaign

Xuming He Washington University in St. Louis

Huifang Sun Mitsubishi Electric (United States)

Ajay Divakaran SRI International

Rong Yan Snapchat

Aditya Krishna Menon Google (United States)

External Links

Personal website of Lexing Xie Google Scholar page

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