Lexing Xie

7.6k total citations · 3 hit papers
125 papers, 4.4k citations indexed

About

Lexing Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Lexing Xie has authored 125 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 25 papers in Statistical and Nonlinear Physics. Recurrent topics in Lexing Xie's work include Video Analysis and Summarization (40 papers), Advanced Image and Video Retrieval Techniques (26 papers) and Image Retrieval and Classification Techniques (22 papers). Lexing Xie is often cited by papers focused on Video Analysis and Summarization (40 papers), Advanced Image and Video Retrieval Techniques (26 papers) and Image Retrieval and Classification Techniques (22 papers). Lexing Xie collaborates with scholars based in Australia, United States and China. Lexing Xie's 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 and has published in prestigious journals such as Journal of Biological Chemistry, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Lexing Xie

121 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AutoRec

2015 764 citations Scott Sanner, Lexing Xie et al. ANU Open Research (Australian National University) profile →
Social media use by government: From the routine to the critical

2012 362 citations Apostol Natsev, Lexing Xie et al. profile →
Improving LDA topic models for microblogs via tweet pooling and automatic labeling

2013 321 citations Rishabh Mehrotra, Scott Sanner et al. ANU Open Research (Australian National University) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lexing Xie Australia	30	2.1k	1.6k	1.2k	685	653	125	4.4k
Daniel Gruhl United States	18	2.4k 1.1×	1.3k 0.8×	1.1k 0.9×	589 0.9×	410 0.6×	54	5.5k
Danyel Fisher United States	31	1.7k 0.8×	781 0.5×	784 0.6×	567 0.8×	447 0.7×	82	3.9k
Diyi Yang United States	35	692 0.3×	4.7k 2.9×	1.1k 0.9×	837 1.2×	286 0.4×	169	7.0k
Christopher Potts United States	31	1.4k 0.6×	8.3k 5.0×	957 0.8×	604 0.9×	303 0.5×	116	10.6k
Steven Bird Australia	29	689 0.3×	4.9k 3.0×	1.2k 1.0×	553 0.8×	305 0.5×	134	6.8k
Yi Chang United States	35	767 0.4×	3.7k 2.3×	1.8k 1.5×	371 0.5×	465 0.7×	201	5.7k
Jiafeng Guo China	36	955 0.5×	3.8k 2.3×	1.9k 1.6×	288 0.4×	300 0.5×	198	5.3k
Mounia Lalmas United Kingdom	33	527 0.3×	1.7k 1.0×	1.8k 1.5×	623 0.9×	527 0.8×	216	3.8k
Noah A. Smith United States	54	1.7k 0.8×	10.4k 6.4×	1.4k 1.1×	980 1.4×	307 0.5×	264	12.9k

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 of co-authors of Lexing Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Lexing Xie. A scholar is included among the top collaborators of Lexing Xie 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 Lexing Xie. Lexing Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhu, Shanfeng, Wen Tang, Yuting Xie, & Lexing Xie. (2025). A comprehensive review of federated learning for multi-center medical data. 4(2). 9–9. 1 indexed citations

Liu, Yuli, et al.. (2024). Learning k-Determinantal Point Processes for Personalized Ranking. ANU Open Research (Australian National University). 1036–1049. 2 indexed citations

Nguyen, Tuan Dung, et al.. (2024). Measuring Moral Dimensions in Social Media with Mformer. Proceedings of the International AAAI Conference on Web and Social Media. 18. 1134–1147. 5 indexed citations

Chen, Ru, Qi Xie, Lexing Xie, et al.. (2023). Thioredoxin1 Binding Metastasis-Associated Lung Adenocarcinoma Transcript 1 Attenuates Inflammation and Apoptosis after Intracerebral Hemorrhage. Aging and Disease. 15(3). 0–0. 2 indexed citations

Bouadjenek, Mohamed Reda, et al.. (2022). A longitudinal study of topic classification on Twitter. PeerJ Computer Science. 8. e991–e991. 3 indexed citations

Xie, Lexing, Li Huang, Hui Lü, et al.. (2022). Single-cell RNA sequencing of peripheral blood reveals that monocytes with high cathepsin S expression aggravate cerebral ischemia–reperfusion injury. Brain Behavior and Immunity. 107. 330–344. 31 indexed citations

Meng, Zhaoyou, Rui‐Hua Xu, Lexing Xie, et al.. (2021). A20/Nrdp1 interaction alters the inflammatory signaling profile by mediating K48- and K63-linked polyubiquitination of effectors MyD88 and TBK1. Journal of Biological Chemistry. 297(1). 100811–100811. 15 indexed citations

Mathews, A. P., et al.. (2020). Holo-UNet: hologram-to-hologram neural network restoration for high fidelity low light quantitative phase imaging of live cells. Biomedical Optics Express. 11(10). 5478–5478. 22 indexed citations

Yang, Guoqiang, Jiacheng Huang, Junjie Yuan, et al.. (2020). Prdx1 Reduces Intracerebral Hemorrhage-Induced Brain Injury via Targeting Inflammation- and Apoptosis-Related mRNA Stability. Frontiers in Neuroscience. 14. 181–181. 20 indexed citations

10.

Huang, Jiacheng, Guoqiang Yang, Xiao‐Yi Xiong, et al.. (2020). Age-related CCL12 Aggravates Intracerebral Hemorrhage-induced Brain Injury via Recruitment of Macrophages and T Lymphocytes. Aging and Disease. 11(5). 1103–1103. 23 indexed citations

11.

Lee, Woei Ming, et al.. (2019). Noise reduction in ultra-low light digital holographic microscopy using neural networks. ANU Open Research (Australian National University). 1. 48–48. 2 indexed citations

12.

Mishra, Swapnil, Marian-Andrei Rizoiu, & Lexing Xie. (2018). Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks. Proceedings of the International AAAI Conference on Web and Social Media. 12(1). 14 indexed citations

13.

Jin, Yuan, Mark Carman, & Lexing Xie. (2016). A little competition never hurt anyone's relevance assessments. Own your potential (DEAKIN). 2 indexed citations

14.

Sanner, Scott, et al.. (2014). Social collaborative filtering for cold-start recommendations. ANU Open Research (Australian National University). 345–348. 81 indexed citations

15.

Mehrotra, Rishabh, Scott Sanner, Wray Buntine, & Lexing Xie. (2013). Improving LDA topic models for microblogs via tweet pooling and automatic labeling. ANU Open Research (Australian National University). 889–892. 321 indexed citations breakdown →

16.

Xie, Lexing, et al.. (2013). Tracking Large-Scale Video Remix in Real-World Events. IEEE Transactions on Multimedia. 15(6). 1244–1254. 9 indexed citations

17.

Xie, Lexing, David A. Shamma, & Cees G. M. Snoek. (2012). Content is dead. UvA-DARE (University of Amsterdam). 7–8. 1 indexed citations

18.

Hua, Gang, Apostol Natsev, John R. Smith, et al.. (2010). IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System. TRECVID. 15 indexed citations

19.

Choudhury, Munmun De, et al.. (2010). How Does the Data Sampling Strategy Impact the Discovery of Information Diffusion in Social Media?. Proceedings of the International AAAI Conference on Web and Social Media. 4(1). 34–41. 153 indexed citations

20.

Natsev, Apostol, John R. Smith, Jelena Tešić, et al.. (2008). IBM Research TRECVID-2008 Video Retrieval System. TRECVID. 19 indexed citations

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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