Dan Xie

2.6k total citations · 1 hit paper
40 papers, 1.6k citations indexed

About

Dan Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Dan Xie has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Dan Xie's work include Video Surveillance and Tracking Methods (11 papers), Anomaly Detection Techniques and Applications (6 papers) and Video Analysis and Summarization (4 papers). Dan Xie is often cited by papers focused on Video Surveillance and Tracking Methods (11 papers), Anomaly Detection Techniques and Applications (6 papers) and Video Analysis and Summarization (4 papers). Dan Xie collaborates with scholars based in China, United States and United Kingdom. Dan Xie's co-authors include Zhouyu Fu, Weiming Hu, Tieniu Tan, Stephen J. Maybank, Weiming Hu, Song‐Chun Zhu, Siniša Todorović, Steve Maybank, Tianmin Shu and Xing Xiao and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Dan Xie

35 papers receiving 1.5k 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.

A system for learning statistical motion patterns

2006 391 citations Weiming Hu, Zhouyu Fu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Dan Xie

CVPR

AI

BE

SP

MB

Franz Kümmert Germany

Felix Juefei-Xu United States

Dongfang Liu United States

Mohammad Rahmati Iran

Khoa Luu United States

Jose L. Part United Kingdom

Jun He China

Yali Li China

Enrique Alegre Spain

Whoi-Yul Kim South Korea

Franz Kümmert Germany

Dan Xie

466 ×0.6

CVPR

425 ×0.7

AI

18 ×0.1

BE

108 ×0.6

SP

126 ×0.7

MB

Citations per year, relative to Dan Xie Dan Xie (= 1×) peers Franz Kümmert

Countries citing papers authored by Dan Xie

Since Specialization

Citations

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

Fields of papers citing papers by Dan Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Xie. A scholar is included among the top collaborators of Dan 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 Dan Xie. Dan 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

1.

Xie, Dan, et al.. (2025). A multi-feature selection fused with investor sentiment for stock price prediction. Expert Systems with Applications. 278. 127381–127381. 2 indexed citations

2.

Maguire, Sarah, Joel J. Credle, Boyoung Cha, et al.. (2025). Dual probe ligation in situ hybridization with rolling-circle amplification for high-plex spatial transcriptomics. Biochemistry and Biophysics Reports. 43. 102207–102207.

3.

Xie, Dan, et al.. (2024). Image restoration for ring-array photoacoustic tomography system based on blind spatially rotational deconvolution. Photoacoustics. 38. 100607–100607. 4 indexed citations

4.

Xie, Dan, et al.. (2023). Spatially-variant image deconvolution for photoacoustic tomography. Optics Express. 31(13). 21641–21641. 6 indexed citations

5.

Xie, Dan, et al.. (2023). Exploring the Practice of Cultivating Business English Talents from the Perspective of Artificial Intelligence. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations

6.

Xie, Dan, Adil Bagirov, Bo Huang, et al.. (2022). High activity and high functional connectivity are mutually exclusive in resting state zebrafish and human brains. BMC Biology. 20(1). 84–84. 5 indexed citations

7.

Tian, Chao, Chenxi Zhang, Haoran Zhang, Dan Xie, & Yi Jin. (2021). Spatial resolution in photoacoustic computed tomography. Reports on Progress in Physics. 84(3). 36701–36701. 44 indexed citations

8.

Xie, Dan, et al.. (2021). Data Augmentation of Sar Sensor Image via Information Maximizing Generative Adversarial Net. 9475. 454–458. 8 indexed citations

9.

Yang, Bin, Yina Wang, Siyu Feng, et al.. (2019). Epi-illumination SPIM for volumetric imaging with high spatial-temporal resolution. Nature Methods. 16(6). 501–504. 98 indexed citations

10.

Xie, Dan. (2016). Inferring the Intentions and Attentions of Agents from Videos. eScholarship (California Digital Library). 1 indexed citations

11.

Yang, Bo, et al.. (2014). Effective Error-Tolerant Keyword Search for Secure Cloud Computing. Journal of Computer Science and Technology. 29(1). 81–89. 4 indexed citations

12.

Hu, Weiming, et al.. (2007). Semantic-Based Surveillance Video Retrieval. IEEE Transactions on Image Processing. 16(4). 1168–1181. 184 indexed citations

13.

Hu, Weiming, et al.. (2006). A system for learning statistical motion patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(9). 1450–1464. 391 indexed citations breakdown →

14.

Xie, Dan, et al.. (2006). Distributed Smart Cameras for Aging in Place. Defense Technical Information Center (DTIC). 17 indexed citations

15.

Xie, Dan, et al.. (2005). Using motifs in the prediction of eukaryotic protein subcellular localization. PubMed. 2005. 2802–2804. 1 indexed citations

16.

Wang, Minghui, et al.. (2005). Improving prediction of protein subcellular localization using evolutionary information and sequence-order information. PubMed. 2005. 4434–4436. 3 indexed citations

17.

Xie, Dan, et al.. (2005). LOCSVMPSI: a web server for subcellular localization of eukaryotic proteins using SVM and profile of PSI-BLAST. Nucleic Acids Research. 33(Web Server). W105–W110. 137 indexed citations

18.

Xie, Dan, et al.. (2005). Semantic-based traffic video retrieval using activity pattern analysis. 1. 693–696. 7 indexed citations

19.

Hu, Weiming, Dan Xie, & T.N. Tan. (2004). A Hierarchical Self-Organizing Approach for Learning the Patterns of Motion Trajectories. IEEE Transactions on Neural Networks. 15(1). 135–144. 60 indexed citations

20.

Hu, Weiming, et al.. (2004). Traffic accident prediction using vehicle tracking and trajectory analysis. 220–225. 28 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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