Junzheng Jiang

488 total citations
47 papers, 336 citations indexed

About

Junzheng Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Junzheng Jiang has authored 47 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in Junzheng Jiang's work include Advanced Graph Neural Networks (20 papers), Image and Signal Denoising Methods (15 papers) and Digital Filter Design and Implementation (13 papers). Junzheng Jiang is often cited by papers focused on Advanced Graph Neural Networks (20 papers), Image and Signal Denoising Methods (15 papers) and Digital Filter Design and Implementation (13 papers). Junzheng Jiang collaborates with scholars based in China, Australia and United States. Junzheng Jiang's co-authors include Peng‐Lang Shui, D.B.H. Tay, Qiyu Sun, Cheng Cheng, Shan Ouyang, Shuwen Xu, Jiang Qian, Xiaolong Wang, Haitao Wang and Shasha Xu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and Remote Sensing.

In The Last Decade

Junzheng Jiang

44 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junzheng Jiang China 10 137 103 62 58 53 47 336
Jihun Ham United States 6 189 1.4× 319 3.1× 41 0.7× 68 1.2× 35 0.7× 6 538
Jianhong Xiang China 14 73 0.5× 184 1.8× 118 1.9× 47 0.8× 232 4.4× 68 521
Yunfeng Cai China 11 87 0.6× 112 1.1× 52 0.8× 27 0.5× 16 0.3× 44 390
Ha Q. Nguyen United States 11 153 1.1× 103 1.0× 26 0.4× 30 0.5× 33 0.6× 24 340
Oğuzhan Teke United States 9 184 1.3× 28 0.3× 40 0.6× 41 0.7× 107 2.0× 28 325
Xinyue Shen China 8 109 0.8× 61 0.6× 43 0.7× 37 0.6× 47 0.9× 17 297
Miloš Drutarovský Slovakia 13 159 1.2× 139 1.3× 202 3.3× 23 0.4× 30 0.6× 56 530
Erich Elsen United States 11 133 1.0× 169 1.6× 59 1.0× 55 0.9× 14 0.3× 17 595
N. Nefedov Finland 8 154 1.1× 77 0.7× 82 1.3× 19 0.3× 152 2.9× 32 378
Xiao Xian-Ci China 10 209 1.5× 46 0.4× 90 1.5× 125 2.2× 104 2.0× 71 423

Countries citing papers authored by Junzheng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Junzheng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junzheng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Junzheng Jiang. A scholar is included among the top collaborators of Junzheng Jiang 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 Junzheng Jiang. Junzheng Jiang 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.
Xie, Huan, et al.. (2025). Redundancy-aware masked graph autoencoder for overlapping community detection in attributed networks. Engineering Applications of Artificial Intelligence. 162. 112821–112821. 1 indexed citations
2.
Jiang, Junzheng, et al.. (2025). Distributed spectral conjugate gradient algorithm for node localization in wireless sensor networks. Digital Signal Processing. 162. 105165–105165.
3.
Jiang, Junzheng, et al.. (2024). Single image dehazing based on multi-label graph cuts. Pattern Recognition Letters. 185. 110–116. 1 indexed citations
4.
Yao, Jinhuan, et al.. (2024). Graph total variation and low-rank regularization for heterogeneous change detection. Digital Signal Processing. 156. 104825–104825.
5.
Jiang, Junzheng, et al.. (2023). Large-Scale Hyperspectral Image Restoration via a Superpixel Distributed Algorithm Based on Graph Signal Processing. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 7 indexed citations
6.
Jiang, Junzheng, et al.. (2023). CGD-Based Inpainting Algorithm for Time-Varying Signals on Strong Product Graph. Circuits Systems and Signal Processing. 43(1). 457–469. 1 indexed citations
7.
Wang, Haitao, et al.. (2022). Target Detection and DOA Estimation for Passive Bistatic Radar in the Presence of Residual Interference. Remote Sensing. 14(4). 1044–1044. 5 indexed citations
8.
Jiang, Junzheng, et al.. (2022). Joint Estimation of Azimuth and Distance for Far-Field Multi Targets Based on Graph Signal Processing. Remote Sensing. 14(5). 1110–1110. 9 indexed citations
9.
Zhang, Yanhai, et al.. (2022). A distributed recovery algorithm for two-dimensional graph signals. Digital Signal Processing. 131. 103762–103762.
10.
Jiang, Junzheng, et al.. (2021). Hyperspectral Image Denoising Using Adaptive Weight Graph Total Variation Regularization and Low-Rank Matrix Recovery. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 14 indexed citations
11.
Jiang, Junzheng, et al.. (2021). A distributed algorithm for graph semi-supervised learning. Pattern Recognition Letters. 151. 48–54. 5 indexed citations
12.
Jiang, Junzheng, D.B.H. Tay, Qiyu Sun, & Shan Ouyang. (2020). Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems. IEEE Transactions on Signal and Information Processing over Networks. 6. 540–555. 18 indexed citations
13.
Jiang, Junzheng, D.B.H. Tay, Qiyu Sun, & Shan Ouyang. (2020). Design of Nonsubsampled Graph Filter Banks via Lifting Schemes. IEEE Signal Processing Letters. 27. 441–445. 16 indexed citations
14.
Tay, D.B.H. & Junzheng Jiang. (2020). Time-Varying Graph Signal Denoising via Median Filters. IEEE Transactions on Circuits & Systems II Express Briefs. 68(3). 1053–1057. 19 indexed citations
15.
Jiang, Junzheng, Cheng Cheng, & Qiyu Sun. (2019). Nonsubsampled Graph Filter Banks: Theory and Distributed Algorithms. IEEE Transactions on Signal Processing. 67(15). 3938–3953. 26 indexed citations
16.
Jiang, Junzheng, et al.. (2016). Lifting‐based design of two‐channel biorthogonal graph filter bank. IET Signal Processing. 10(6). 670–675. 5 indexed citations
17.
Jiang, Junzheng, et al.. (2013). Efficient design of very large‐scale DFT modulated filter banks using M th band condition. IET Signal Processing. 8(4). 381–391. 1 indexed citations
18.
Jiang, Junzheng, et al.. (2013). Efficient design of high-complexity interleaved DFT modulated filter bank. Signal Processing. 94. 130–137. 1 indexed citations
19.
Jiang, Junzheng, et al.. (2011). Design of oversampled DFT-modulated filter banks via modified Newton's method. IET Signal Processing. 5(3). 271–280. 10 indexed citations
20.
Shui, Peng‐Lang, Junzheng Jiang, & Xiaolong Wang. (2009). Design of oversampled double-prototype DFT modulated filter banks via bi-iterative second-order cone program. Signal Processing. 90(5). 1597–1608. 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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