Chen Shen

578 total citations · 2 hit papers
20 papers, 347 citations indexed

About

Chen Shen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Chen Shen has authored 20 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Chen Shen's work include Human Motion and Animation (3 papers), Digital Media Forensic Detection (3 papers) and Brain Tumor Detection and Classification (2 papers). Chen Shen is often cited by papers focused on Human Motion and Animation (3 papers), Digital Media Forensic Detection (3 papers) and Brain Tumor Detection and Classification (2 papers). Chen Shen collaborates with scholars based in China, Japan and Germany. Chen Shen's co-authors include Taiping Yao, Shouhong Ding, Xiaokang Yang, Chao Ma, Jilin Li, Ke Sun, Rongrong Ji, Jun Jiao, Bin Wang and Hongyu Zhang and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, British Journal of Radiology and Inorganica Chimica Acta.

In The Last Decade

Chen Shen

17 papers receiving 339 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.

End-to-End Reconstruction-Classification Learning for Face Forgery Detection

2022 167 citations Chao Ma, Taiping Yao et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
Dual Contrastive Learning for General Face Forgery Detection

2022 126 citations Ke Sun, Taiping Yao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chen Shen China	6	288	109	31	11	10	20	347
Junjie Ke United States	7	159 0.6×	84 0.8×	12 0.4×	4 0.4×	5 0.5×	16	258
Jiefeng Peng China	5	150 0.5×	119 1.1×	10 0.3×	2 0.2×	7 0.7×	7	202
Christian Bartz Germany	4	200 0.7×	97 0.9×	12 0.4×	3 0.3×	3 0.3×	7	241
Deqiang Jiang China	9	127 0.4×	87 0.8×	13 0.4×	16 1.5×	1 0.1×	23	235
Evgenii Zheltonozhskii Israel	5	105 0.4×	75 0.7×	9 0.3×	3 0.3×	6 0.6×	7	168
Kai Yi China	6	88 0.3×	78 0.7×	8 0.3×	8 0.7×	2 0.2×	23	189
Dehua Song China	6	175 0.6×	33 0.3×	63 2.0×	3 0.3×	4 0.4×	9	228
Hila Chefer Israel	4	169 0.6×	47 0.4×	20 0.6×	3 0.3×	2 0.2×	4	226
Ming-Yu Liu United States	3	106 0.4×	46 0.4×	16 0.5×		4 0.4×	4	152
Shruti Bhargava Choubey India	8	43 0.1×	62 0.6×	12 0.4×	3 0.3×	3 0.3×	39	166

Countries citing papers authored by Chen Shen

Since Specialization

Citations

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

Fields of papers citing papers by Chen Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Shen

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

Chen, Changsheng, Chen Shen, Taiping Yao, et al.. (2025). Generalized Document Tampering Localization via Color and Semantic Disentanglement. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 1279–1292.

Wang, Shuaishuai, Chen Shen, Yuqing Wei, et al.. (2025). Separation of Rare Earth Elements Using Aromatic Sulfonic Acid-Modified Silica Chromatographic Stationary Phase. Journal of Analysis and Testing. 9(3). 369–377. 1 indexed citations

Huang, Shanshan, Jiawei Liu, Laiming Jiang, et al.. (2024). Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data. 1–6.

Shen, Chen, et al.. (2023). An improved multi-label classification algorithm based on YOLOV5s. 29. 674–678.

Ma, Chao, et al.. (2022). End-to-End Reconstruction-Classification Learning for Face Forgery Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4103–4112. 167 indexed citations breakdown →

Sun, Ke, Taiping Yao, Chen Shen, et al.. (2022). Dual Contrastive Learning for General Face Forgery Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 2316–2324. 126 indexed citations breakdown →

Shen, Chen, et al.. (2021). Machine learning based anomaly detection and diagnosis method of spinning equipment driven by spectrogram data. Journal of the Textile Institute. 113(10). 2090–2099. 1 indexed citations

Zhang, Hongbin, Teng Long, Yixuan Zhang, et al.. (2021). CCDCGAN: deep learning prediction of crystal structures. Acta Crystallographica Section A Foundations and Advances. 77(a2). C75–C75. 2 indexed citations

Su, Rong, Bin Zhang, & Chen Shen. (2020). A Cleaning Method for Outliers in Raw Wind Data Based on the Edge Detection and Variable-point Variance. 2020 IEEE Sustainable Power and Energy Conference (iSPEC). 32. 1951–1957. 1 indexed citations

10.

Jin, Zhongming, et al.. (2020). Intelligent Tomato Picking Robot System Based on Multimodal Depth Feature Analysis Method. IOP Conference Series Earth and Environmental Science. 440(4). 42074–42074. 9 indexed citations

11.

Shen, Chen, Chenglong Wang, Masahiro Oda, & Kensaku Mori. (2019). Coarse-to-fine kidney and tumor segmentation with fully convolutional networks. University of Minnesota Digital Conservancy (University of Minnesota). 2 indexed citations

12.

Xu, Meiling, et al.. (2019). Classification Method of Teaching Resources Based on Improved KNN Algorithm. International Journal of Emerging Technologies in Learning (iJET). 14(4). 73–73. 5 indexed citations

13.

Han, Dong, et al.. (2017). Preliminary study on the differentiation between parapelvic cyst and hydronephrosis with non-calculous using only pre-contrast dual-energy spectral CT scans. British Journal of Radiology. 90(1073). 20160632–20160632. 4 indexed citations

14.

Huang, Liping, et al.. (2016). Research on grey model-based node trajectory prediction in WBAN. International Journal of Sensor Networks. 21(3). 189–189. 1 indexed citations

15.

Hu, Ning, Changsheng Li, Lifeng Wang, et al.. (2016). Intelligent monitoring-based safety system of massage robot. Journal of Central South University. 23(10). 2647–2658. 4 indexed citations

16.

Shen, Chen, et al.. (2015). Animation recipes. 1–1. 2 indexed citations

17.

Shen, Chen, et al.. (2015). Sketch to pose in Pixar's presto animation system. 1–1. 1 indexed citations

18.

Fleischer, Kurt, et al.. (2015). Silhouette sketching on "inside out". 1–1. 1 indexed citations

19.

Zhao, Xiaofang, Zhangang Han, Shuo Cui, et al.. (2014). Transition-metal ion modified monolacunary tungstates: Synthesis, structural characterization and property. Inorganica Chimica Acta. 414. 46–52. 7 indexed citations

20.

Shen, Chen, et al.. (2009). Multi-instance multi-label learning for automatic tag recommendation. 4910–4914. 13 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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