Di Wen

1.2k total citations · 1 hit paper
27 papers, 770 citations indexed

About

Di Wen is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Di Wen has authored 27 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Di Wen's work include Cardiac Imaging and Diagnostics (8 papers), Face recognition and analysis (7 papers) and Advanced X-ray and CT Imaging (6 papers). Di Wen is often cited by papers focused on Cardiac Imaging and Diagnostics (8 papers), Face recognition and analysis (7 papers) and Advanced X-ray and CT Imaging (6 papers). Di Wen collaborates with scholars based in China, United States and Hong Kong. Di Wen's co-authors include Hu Han, Anil K. Jain, Xiaoqing Ding, Hongxia Lv, Dingjun Chen, Chi Fang, Jie Zhang, Xuqiang Li, Peng Gao and David L. Wilson and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Medical Physics.

In The Last Decade

Di Wen

25 papers receiving 727 citations

Hit Papers

Face Spoof Detection With Image Distortion Analysis 2015 2026 2018 2022 2015 100 200 300 400 500
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.

  1. Face Spoof Detection With Image Distortion Analysis
    2015 578 citations Di Wen, Hu Han et al. IEEE Transactions on Information Forensics and Security profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Wen China 8 567 537 125 52 50 27 770
Yanyan Liang Macao 14 537 0.9× 444 0.8× 105 0.8× 75 1.4× 2 0.0× 57 760
Xiaoqing Ding China 13 496 0.9× 105 0.2× 35 0.3× 23 0.4× 102 2.0× 61 728
Chong Han China 12 148 0.3× 131 0.2× 33 0.3× 37 0.7× 3 0.1× 58 447
Qi Fan China 9 435 0.8× 76 0.1× 54 0.4× 21 0.4× 23 0.5× 27 686
Changmao Cheng China 5 609 1.1× 133 0.2× 22 0.2× 75 1.4× 6 0.1× 6 833
Dakshina Ranjan Kisku India 15 476 0.8× 298 0.6× 122 1.0× 76 1.5× 73 700
Giovani Chiachia Brazil 10 260 0.5× 239 0.4× 85 0.7× 36 0.7× 2 0.0× 19 514
Zhihong Chen China 10 297 0.5× 106 0.2× 92 0.7× 12 0.2× 7 0.1× 30 613

Countries citing papers authored by Di Wen

Since Specialization
Citations

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

Fields of papers citing papers by Di Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Wen

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

All Works

20 of 20 papers shown
1.
2.
Peng, Kunyu, Di Wen, Ruiping Liu, et al.. (2024). Skeleton-Based Human Action Recognition with Noisy Labels. 4716–4723. 2 indexed citations
3.
Song, Yingnan, Di Wen, Bo Zhu, et al.. (2020). Detection of coronary calcifications with dual energy chest X-rays: clinical evaluation. International journal of cardiac imaging. 37(3). 767–774. 5 indexed citations
4.
Wen, Di, Xuqiang Li, Dingjun Chen, et al.. (2019). Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow. PLoS ONE. 14(9). e0222365–e0222365. 51 indexed citations
5.
Eck, Brendan, Anas Fares, Yuemeng Li, et al.. (2019). SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging. Journal of Medical Imaging. 6(4). 1–1. 3 indexed citations
6.
Eck, Brendan, Anas Fares, Yuemeng Li, et al.. (2018). SLIC robust (SLICR) processing for fast, robust CT myocardial blood flow quantification. PubMed. 10578. 65–65. 1 indexed citations
7.
Hou, Jun, Bo Zhou, Di Wen, et al.. (2018). Visualization of coronary artery calcium in dual energy chest radiography using automatic rib suppression. 13–13. 1 indexed citations
8.
Wen, Di, et al.. (2018). Enhanced coronary calcium visualization and detection from dual energy chest x-rays with sliding organ registration. Computerized Medical Imaging and Graphics. 64. 12–21. 7 indexed citations
9.
Zhou, Bo, Di Wen, Robert Gilkeson, et al.. (2017). Detection and quantification of coronary calcium from dual energy chest x‐rays: Phantom feasibility study. Medical Physics. 44(10). 5106–5119. 4 indexed citations
10.
Wen, Di, et al.. (2016). Coronary calcium visualization using dual energy chest radiography with sliding organ registration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9784. 97840W–97840W. 3 indexed citations
11.
Prabhu, David, Emile Mehanna, Madhusudhana Gargesha, et al.. (2016). 3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9788. 97882C–97882C. 7 indexed citations
12.
Zhou, Bo, et al.. (2016). Dual energy x-ray imaging and scoring of coronary calcium: physics-based digital phantom and clinical studies. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9783. 978342–978342. 3 indexed citations
13.
Wen, Di, Hu Han, & Anil K. Jain. (2015). Face Spoof Detection With Image Distortion Analysis. IEEE Transactions on Information Forensics and Security. 10(4). 746–761. 578 indexed citations breakdown →
14.
Ding, Xiaoqing, et al.. (2014). Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel Regression. IEEE Transactions on Image Processing. 23(12). 5284–5297. 19 indexed citations
15.
Jia, Qiang, Chi Fang, Di Wen, & Xiaoqing Ding. (2013). Generating face images under multiple illuminations based on a single front-lighted sample without 3D models. 1–6. 4 indexed citations
16.
17.
Zhang, Tong, Di Wen, & Xiaoqing Ding. (2013). Person-based video summarization and retrieval by tracking and clustering temporal face sequences. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8664. 86640O–86640O. 5 indexed citations
18.
Wen, Di, Chi Fang, Xiaoqing Ding, & Tong Zhang. (2010). Development of Recognition Engine for Baby Faces. 3408–3411. 7 indexed citations
19.
Zhang, Tong, Jun Xiao, Di Wen, & Xiaoqing Ding. (2009). Face based image navigation and search. 597–600. 9 indexed citations
20.
Wen, Di & Xiaoqing Ding. (2006). Visual Similarity Based Document Layout Analysis. Journal of Computer Science and Technology. 21(3). 459–465.

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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