Jiajun Shen

1.1k total citations
22 papers, 321 citations indexed

About

Jiajun Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jiajun Shen has authored 22 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Jiajun Shen's work include Advanced Graph Neural Networks (4 papers), Human Pose and Action Recognition (3 papers) and Advanced Vision and Imaging (3 papers). Jiajun Shen is often cited by papers focused on Advanced Graph Neural Networks (4 papers), Human Pose and Action Recognition (3 papers) and Advanced Vision and Imaging (3 papers). Jiajun Shen collaborates with scholars based in China, United States and Hong Kong. Jiajun Shen's co-authors include Xingbo Dong, Chao Zhang, Liujun Liu, Marc’Aurelio Ranzato, Lan Ma, Jiatao Gu, Junxian He, Andrew Beng Jin Teoh, Zhe Jin and Chongjian Ge and has published in prestigious journals such as Briefings in Bioinformatics, Computers & Security and Journal of Materials Science Materials in Electronics.

In The Last Decade

Jiajun Shen

21 papers receiving 308 citations

Peers

Jiajun Shen

CVPR

CNC

Paul Swoboda Germany

Zhongzhi Yu United States

Zaid Bassfar Saudi Arabia

S. Durga Bhavani India

Aziz Qaroush Palestinian Territory

Farzin Yaghmaee Iran

Faisal Anwer India

Junyi Li China

Tinglin Huang United States

Paul Swoboda Germany

Jiajun Shen

127 ×0.7

CVPR

83 ×0.5

23 ×0.7

40 ×1.6

CNC

12 ×0.6

Citations per year, relative to Jiajun Shen Jiajun Shen (= 1×) peers Paul Swoboda

Countries citing papers authored by Jiajun Shen

Since Specialization

Citations

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

Fields of papers citing papers by Jiajun Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Shen

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

All Works

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20 of 20 papers shown

Shen, Jiajun, et al.. (2025). HGEN: Heterogeneous Graph Ensemble Networks. arXiv (Cornell University). 6156–6163.

Koppula, Skanda, Justin Chiu, Viorica Pătrăucean, et al.. (2024). A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames. 14386–14397. 2 indexed citations

Wong, Chi Ho, et al.. (2023). Source-Aware Embedding Training on Heterogeneous Information Networks. Data Intelligence. 5(3). 611–635. 4 indexed citations

Li, Mingyue, et al.. (2023). Text Analysis of Policy Coherence between the Central Government and the Provincial Governments in the New Energy Vehicle Charging Infrastructure. Technology and Investment. 14(4). 220–246. 1 indexed citations

Rehman, Yasar Abbas Ur, et al.. (2023). L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. 16418–16427. 9 indexed citations

Shen, Jiajun, et al.. (2023). On the Benefits of Leveraging Structural Information in Planning Over the Learned Model. 4555–4560. 1 indexed citations

Zheng, Jiahong, Jiajun Shen, Xin Bai, & Pengfei Yu. (2022). Hollow nanospheres NiCo2S4 electrode prepared by Cu2O sacrificing template strategy for high-performance supercapacitor. Journal of Materials Science Materials in Electronics. 33(21). 17272–17283. 9 indexed citations

Yu, Xin, Lan Ma, Jia Li, et al.. (2022). Video Demoiréing with Relation-Based Temporal Consistency. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17601–17610. 13 indexed citations

Cheng, Reynold, Jiajun Shen, Nur Al Hasan Haldar, et al.. (2022). Automatic Meta-Path Discovery for Effective Graph-Based Recommendation. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 1563–1572. 8 indexed citations

10.

Dong, Xingbo, et al.. (2022). Recurring the Transformer for Video Action Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14043–14053. 76 indexed citations

11.

Xie, Yuyang, et al.. (2022). What Should Be Equivariant In Self-Supervised Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4110–4119. 4 indexed citations

12.

Dong, Xingbo, et al.. (2022). Reconstruct face from features based on genetic algorithm using GAN generator as a distribution constraint. Computers & Security. 125. 103026–103026. 18 indexed citations

13.

Dong, Xingbo, Zhihui Miao, Lan Ma, et al.. (2022). Abandoning the Bayer-Filter to See in the Dark. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17410–17419. 32 indexed citations

14.

Sun, Peize, Enze Xie, Chongjian Ge, et al.. (2021). Watch Only Once: An End-to-End Video Action Detection Framework. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8158–8167. 35 indexed citations

15.

He, Junxian, Jiatao Gu, Jiajun Shen, & Marc’Aurelio Ranzato. (2020). Revisiting Self-Training for Neural Sequence Generation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 36 indexed citations

16.

Lerer, Adam, Ledell Wu, Jiajun Shen, et al.. (2019). Pytorch-BigGraph: A Large Scale Graph Embedding System.. arXiv (Cornell University). 1. 120–131. 13 indexed citations

17.

Chen, Peng‐Jen, Jiajun Shen, Matthew Le, et al.. (2019). Facebook AI’s WAT19 Myanmar-English Translation Task Submission. 18 indexed citations

18.

Ding, Rui, Qiang Fu, Jian–Guang Lou, et al.. (2012). Healing online service systems via mining historical issue repositories. 318–321. 24 indexed citations

19.

Shen, Jiajun. (2010). Design and Molding Simulation of Plastic Part. 1 indexed citations

20.

Xia, Liang, et al.. (2008). Breaking and repairing the certificateless key agreement protocol from ASIAN 2006. Wuhan University Journal of Natural Sciences. 13(5). 562–566. 8 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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