Jinjun Wang

1.2k total citations
34 papers, 844 citations indexed

About

Jinjun Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jinjun Wang has authored 34 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 6 papers in Artificial Intelligence. Recurrent topics in Jinjun Wang's work include Advanced Vision and Imaging (13 papers), Advanced Image Processing Techniques (13 papers) and Image and Signal Denoising Methods (6 papers). Jinjun Wang is often cited by papers focused on Advanced Vision and Imaging (13 papers), Advanced Image Processing Techniques (13 papers) and Image and Signal Denoising Methods (6 papers). Jinjun Wang collaborates with scholars based in China, United States and Singapore. Jinjun Wang's co-authors include Yihong Gong, Sanping Zhou, Changsheng Xu, Yudong Liang, Eng Siong Chng, Shenghuo Zhu, Nanning Zheng, Ling‐Yu Duan, Kong-Wah Wan and Shun Zhang and has published in prestigious journals such as Hepatology, Pattern Recognition and Remote Sensing.

In The Last Decade

Jinjun Wang

32 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinjun Wang China	14	735	160	160	158	58	34	844
Abdul Sadka United Kingdom	14	427 0.6×	223 1.4×	142 0.9×	52 0.3×	38 0.7×	65	662
Badal Soni India	13	346 0.5×	33 0.2×	275 1.7×	104 0.7×	30 0.5×	64	673
Jun Xiao China	13	444 0.6×	34 0.2×	141 0.9×	101 0.6×	11 0.2×	76	658
Chao Huang China	14	360 0.5×	99 0.6×	422 2.6×	26 0.2×	18 0.3×	55	727
Lai Jiang China	16	669 0.9×	102 0.6×	186 1.2×	86 0.5×	6 0.1×	57	1.1k
Anil Singh Parihar India	16	628 0.9×	59 0.4×	92 0.6×	286 1.8×	19 0.3×	74	803
Wen-Hsiao Peng Taiwan	17	874 1.2×	514 3.2×	169 1.1×	62 0.4×	45 0.8×	116	1.0k
Fuhao Zou China	17	755 1.0×	133 0.8×	222 1.4×	93 0.6×	17 0.3×	75	896
Daniel Carlos Guimarães Pedronette Brazil	16	704 1.0×	73 0.5×	208 1.3×	165 1.0×	5 0.1×	102	883
Mahdieh Soleymani Baghshah Iran	15	323 0.4×	55 0.3×	423 2.6×	53 0.3×	11 0.2×	52	676

Countries citing papers authored by Jinjun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Jinjun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinjun Wang

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

Wang, Jinjun, et al.. (2026). Biologically interpretable deep learning–derived MRI phenotypes reveal lymph node involvement and neoadjuvant therapy response in intrahepatic cholangiocarcinoma. Hepatology.

Xu, Yang & Jinjun Wang. (2025). Design and implementation of information system for vocational education quality assessment based on CNN-BiGRU. Systems and Soft Computing. 7. 200359–200359. 1 indexed citations

Li, Pengna, et al.. (2023). Pseudo Labels Refinement with Intra-Camera Similarity for Unsupervised Person Re-Identification. 366–370. 1 indexed citations

Hui, S., et al.. (2022). Image Inpainting with Bilateral Convolution. Remote Sensing. 14(23). 6140–6140. 5 indexed citations

Wang, Jinjun, et al.. (2022). Research on reading recognition method of pointer meter based on magnifying the virtual circle. 191–194. 4 indexed citations

Zhang, Pengfei, et al.. (2021). Spatial information-based intuitionistic fuzzy kernel clustering algorithm for cerebral hemorrhage image segmentation. Signal Image and Video Processing. 16(4). 983–991. 6 indexed citations

Fang, Chao, et al.. (2020). Weather Classification for Outdoor Power Monitoring based on Improved SqueezeNet. 11–15. 3 indexed citations

Wang, Jinjun, et al.. (2018). Semi-supervised person re-identification using multi-view clustering. Pattern Recognition. 88. 285–297. 78 indexed citations

Liang, Yudong, Ze Yang, Kai Zhang, et al.. (2017). Single Image Super-resolution with a Parameter Economic Residual-like Convolutional Neural Network. arXiv (Cornell University). 2 indexed citations

10.

Li, Chengqi, et al.. (2017). Adaptive level set model for image segmentation based on tensor diffusion. 1. 5026–5030. 1 indexed citations

11.

Zhou, Sanping, et al.. (2017). Correntropy-based level set method for medical image segmentation and bias correction. Neurocomputing. 234. 216–229. 52 indexed citations

12.

Liang, Yudong, Jinjun Wang, Sanping Zhou, Yihong Gong, & Nanning Zheng. (2016). Incorporating image priors with deep convolutional neural networks for image super-resolution. Neurocomputing. 194. 340–347. 57 indexed citations

13.

Liu, Nan, Jinjun Wang, & Yihong Gong. (2015). Deep Self-Organizing Map for visual classification. 1–6. 27 indexed citations

14.

Lin, Weiyao, Yihao Zhang, Jiwen Lu, et al.. (2014). Summarizing surveillance videos with local-patch-learning-based abnormality detection, blob sequence optimization, and type-based synopsis. Neurocomputing. 155. 84–98. 44 indexed citations

15.

Wang, Jinjun & Shenghuo Zhu. (2011). Resolution-invariant coding for continuous image super-resolution. Neurocomputing. 82. 21–28. 10 indexed citations

16.

Wang, Jinjun, Shenghuo Zhu, & Yihong Gong. (2009). Resolution-Invariant Image Representation and its applications. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 2512–2519. 7 indexed citations

17.

Wang, Jinjun, Shenghuo Zhu, & Yihong Gong. (2009). Resolution enhancement based on learning the sparse association of image patches. Pattern Recognition Letters. 31(1). 1–10. 62 indexed citations

18.

Liu, Feng, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, & Yihong Gong. (2008). Noisy video super-resolution. 713–716. 11 indexed citations

19.

Wang, Jinjun, Wei Xu, Shenghuo Zhu, & Yihong Gong. (2007). Efficient Video Object Segmentation by Graph-Cut. 496–499. 3 indexed citations

20.

Wang, Jinjun, Changsheng Xu, Eng Siong Chng, & Qi Tian. (2005). Sports highlight detection from keyword sequences using HMM. 599–602. 65 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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