Jianbing Shen

16.4k total citations · 10 hit papers
165 papers, 9.2k citations indexed

About

Jianbing Shen is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jianbing Shen has authored 165 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Computer Vision and Pattern Recognition, 19 papers in Molecular Biology and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jianbing Shen's work include Visual Attention and Saliency Detection (43 papers), Advanced Image and Video Retrieval Techniques (42 papers) and Advanced Vision and Imaging (40 papers). Jianbing Shen is often cited by papers focused on Visual Attention and Saliency Detection (43 papers), Advanced Image and Video Retrieval Techniques (42 papers) and Advanced Vision and Imaging (40 papers). Jianbing Shen collaborates with scholars based in China, United States and United Arab Emirates. Jianbing Shen's co-authors include Wenguan Wang, Ling Shao, Fatih Porikli, Xuelong Li, Xingping Dong, Xiankai Lu, Ruigang Yang, Ming‐Ming Cheng, Deng-Ping Fan and Haibin Ling and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The FASEB Journal.

In The Last Decade

Jianbing Shen

163 papers receiving 9.1k citations

Hit Papers

Video Salient Object Detection via Fully Convolutional Ne... 2014 2026 2018 2022 2017 2019 2019 2017 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. Video Salient Object Detection via Fully Convolutional Networks
    2017 512 citations Wenguan Wang, Jianbing Shen et al. IEEE Transactions on Image Processing profile →
  2. See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks
    2019 400 citations Xiankai Lu, Wenguan Wang et al. profile →
  3. Shifting More Attention to Video Salient Object Detection
    2019 387 citations Deng-Ping Fan, Wenguan Wang et al. profile →
  4. Saliency-Aware Video Object Segmentation
    2017 384 citations Wenguan Wang, Jianbing Shen et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  5. Saliency-aware geodesic video object segmentation
    2015 363 citations Wenguan Wang, Jianbing Shen et al. profile →
  6. Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement
    2015 302 citations Wenguan Wang, Jianbing Shen et al. IEEE Transactions on Image Processing profile →
  7. Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm
    2016 286 citations Jianbing Shen, Wenguan Wang et al. IEEE Transactions on Image Processing profile →
  8. A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping
    2018 284 citations Wenguan Wang, Jianbing Shen et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  9. Lazy Random Walks for Superpixel Segmentation
    2014 277 citations Jianbing Shen, Wenguan Wang et al. IEEE Transactions on Image Processing profile →
  10. Siamese Network for RGB-D Salient Object Detection and Beyond
    2021 178 citations Keren Fu, Deng-Ping Fan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Jianbing Shen
Wenguan Wang China
Dingwen Zhang China
Yichen Wei China
Xiaohui Shen United States
Yuming Fang China
Jianbing Shen China
Zhe Lin United States
Theo Gevers Netherlands
Shai Avidan Israel
Wenguan Wang China
Jianbing Shen
Citations per year, relative to Jianbing Shen Jianbing Shen (= 1×) peers Wenguan Wang

Countries citing papers authored by Jianbing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jianbing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianbing Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jianbing Shen. A scholar is included among the top collaborators of Jianbing 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 Jianbing Shen. Jianbing Shen 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.
Zhao, Sanyuan, et al.. (2025). Modality Confusion Learning: A Versatile Framework for Visible-Infrared Re-identification. International Journal of Computer Vision. 133(12). 8469–8488.
2.
Zhao, Sanyuan, et al.. (2024). A simple but effective vision transformer framework for visible–infrared person re-identification. Computer Vision and Image Understanding. 249. 104192–104192. 1 indexed citations
3.
Yin, Junbo, Jianbing Shen, Wei Li, et al.. (2024). IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection. 14905–14915. 38 indexed citations
4.
Wang, Tiancai, et al.. (2023). OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation. 2749–2758. 22 indexed citations
5.
Yin, Junbo, et al.. (2023). SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2707–2715. 31 indexed citations
6.
Fu, Keren, Deng-Ping Fan, Ge-Peng Ji, et al.. (2021). Siamese Network for RGB-D Salient Object Detection and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 5541–5559. 178 indexed citations breakdown →
7.
Lu, Xiankai, et al.. (2021). Video Object Segmentation Using Global and Instance Embedding Learning. 16831–16840. 37 indexed citations
8.
Lai, Qiuxia, Wenguan Wang, Salman Khan, et al.. (2019). Human vs Machine Attention in Neural Networks: A Comparative Study.. arXiv (Cornell University). 3 indexed citations
9.
Wang, Wenguan, Jianbing Shen, & Ling Shao. (2017). Deep Learning For Video Saliency Detection.. arXiv (Cornell University). 9 indexed citations
10.
Wang, Wenguan, Jianbing Shen, & Ling Shao. (2017). Video Salient Object Detection via Fully Convolutional Networks. IEEE Transactions on Image Processing. 27(1). 38–49. 512 indexed citations breakdown →
11.
Wang, Wenguan, Jianbing Shen, Xuelong Li, & Fatih Porikli. (2015). Robust Video Object Cosegmentation. IEEE Transactions on Image Processing. 24(10). 3137–3148. 124 indexed citations
12.
Yang, Ronghua, et al.. (2014). P2X4 receptor–eNOS signaling pathway in cardiac myocytes as a novel protective mechanism in heart failure. Computational and Structural Biotechnology Journal. 13. 1–7. 13 indexed citations
13.
Shen, Jianbing, et al.. (2009). Reversal of cardiac myocyte dysfunction as a unique mechanism of rescue by P2X4receptors in cardiomyopathy. American Journal of Physiology-Heart and Circulatory Physiology. 296(4). H1089–H1095. 14 indexed citations
14.
Shen, Jianbing & Achilles J. Pappano. (2008). An Estrogen Metabolite, 2-Methoxyestradiol, Disrupts Cardiac Microtubules and Unmasks Muscarinic Inhibition of Calcium Current. Journal of Pharmacology and Experimental Therapeutics. 325(2). 507–512. 3 indexed citations
15.
Shen, Jianbing, Chunxia Cronin, Д. Л. Сонин, et al.. (2006). P2X purinergic receptor-mediated ionic current in cardiac myocytes of calsequestrin model of cardiomyopathy: implications for the treatment of heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 292(2). H1077–H1084. 29 indexed citations
16.
Pisani, Antonio, Giuseppina Martella, Anne Tscherter, et al.. (2006). Enhanced sensitivity of DJ-1-deficient dopaminergic neurons to energy metabolism impairment: Role of Na+/K+ ATPase. Neurobiology of Disease. 23(1). 54–60. 40 indexed citations
17.
Shen, Jianbing & Achilles J. Pappano. (2002). On the Role of Phosphatase in Regulation of Cardiac L-Type Calcium Current by Cyclic GMP. Journal of Pharmacology and Experimental Therapeutics. 301(2). 501–506. 16 indexed citations
18.
Shen, Jianbing, et al.. (1999). Elevated cAMP Suppresses Muscarinic Inhibition of L-Type Calcium Current in Guinea Pig Ventricular Myocytes. Journal of Cardiovascular Pharmacology. 34(2). 304–315. 18 indexed citations
19.
Shen, Jianbing & Mario Vassalle. (1996). Barium-Induced Diastolic Depolarization and Controlling Mechanisms in Guinea Pig Ventricular Muscle. Journal of Cardiovascular Pharmacology. 28(3). 385–396. 5 indexed citations
20.
Shen, Jianbing & Mario Vassalle. (1994). Cesium Abolishes the Barium‐Induced Pacemaker Potential and Current in Guinea Pig Ventricular Myocytes. Journal of Cardiovascular Electrophysiology. 5(12). 1031–1044. 9 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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