Jun Du

9.7k total citations · 2 hit papers
329 papers, 6.2k citations indexed

About

Jun Du is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jun Du has authored 329 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Signal Processing, 149 papers in Artificial Intelligence and 72 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jun Du's work include Speech and Audio Processing (154 papers), Speech Recognition and Synthesis (112 papers) and Music and Audio Processing (101 papers). Jun Du is often cited by papers focused on Speech and Audio Processing (154 papers), Speech Recognition and Synthesis (112 papers) and Music and Audio Processing (101 papers). Jun Du collaborates with scholars based in China, United States and Italy. Jun Du's co-authors include Chin‐Hui Lee, Li-Rong Dai, Yong Xu, Jianshu Zhang, Yan-Hui Tu, Zi-Rui Wang, Zhibin He, Xiaohu Wen, Hu Liu and Qiang Huo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Macromolecules.

In The Last Decade

Jun Du

305 papers receiving 5.8k citations

Hit Papers

A Regression Approach to Speech Enhancement Based on Deep... 2013 2026 2017 2021 2014 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Du China 36 3.5k 2.8k 1.3k 1.2k 612 329 6.2k
Wenwu Wang United Kingdom 33 3.0k 0.9× 1.4k 0.5× 1.5k 1.2× 754 0.7× 342 0.6× 376 5.0k
Yuxuan Wang China 22 2.6k 0.7× 2.4k 0.9× 672 0.5× 554 0.5× 430 0.7× 104 5.0k
Shan Liu China 37 1.7k 0.5× 658 0.2× 3.7k 2.9× 641 0.6× 52 0.1× 440 6.5k
Jiahui Yu China 23 1.2k 0.3× 2.0k 0.7× 2.4k 1.9× 284 0.2× 110 0.2× 114 5.2k
Qianli Ma China 26 496 0.1× 1.4k 0.5× 757 0.6× 482 0.4× 123 0.2× 101 3.2k
Di Huang China 35 724 0.2× 1.0k 0.4× 3.3k 2.6× 222 0.2× 190 0.3× 208 4.9k
Haşim Sak United States 25 2.1k 0.6× 3.4k 1.3× 690 0.5× 66 0.1× 210 0.3× 45 5.2k
Naif Alajlan Saudi Arabia 38 277 0.1× 1.1k 0.4× 1.6k 1.3× 228 0.2× 658 1.1× 151 6.2k
Yunhong Wang China 44 3.0k 0.9× 722 0.3× 4.8k 3.8× 138 0.1× 110 0.2× 322 8.6k
Bing Shuai Singapore 17 317 0.1× 1.6k 0.6× 2.4k 1.9× 116 0.1× 205 0.3× 31 5.8k

Countries citing papers authored by Jun Du

Since Specialization
Citations

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

Fields of papers citing papers by Jun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Du

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Du. A scholar is included among the top collaborators of Jun Du 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 Jun Du. Jun Du 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.
Du, Jun, et al.. (2025). Bidirectional trained tree-structured decoder for Handwritten Mathematical Expression Recognition. Pattern Recognition. 165. 111599–111599.
3.
Sun, Ke, Jing Shi, Ge Jin, et al.. (2024). Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images. Biomedical Signal Processing and Control. 97. 106684–106684.
4.
Xiao, Yongtao, et al.. (2024). Farnesoid X receptor agonist tropifexor detoxifies ammonia by regulating the glutamine metabolism and urea cycles in cholestatic livers. European Journal of Pharmacology. 966. 176334–176334. 3 indexed citations
5.
Du, Jun, et al.. (2024). SEMv2: Table separation line detection based on instance segmentation. Pattern Recognition. 149. 110279–110279. 5 indexed citations
6.
Yan, Weihui, Shanshan Chen, Ying Wang, et al.. (2024). Loss of Mptx2 alters bacteria composition and intestinal homeostasis potentially by impairing autophagy. Communications Biology. 7(1). 94–94. 5 indexed citations
7.
Wang, Qing, et al.. (2024). Collaborative Viseme Subword and End-to-End Modeling for Word-Level Lip Reading. IEEE Transactions on Multimedia. 26. 9358–9371. 2 indexed citations
8.
Du, Jun, et al.. (2024). Count, decompose and correct: A new approach to handwritten Chinese character error correction. Pattern Recognition. 160. 111110–111110. 2 indexed citations
9.
Du, Jun, Chao Wang, Fangfang Zhang, et al.. (2023). A Hybrid Chlorophyll a Estimation Method for Oligotrophic and Mesotrophic Reservoirs Based on Optical Water Classification. Remote Sensing. 15(8). 2209–2209. 5 indexed citations
10.
Du, Jun, et al.. (2022). Spatial and Temporal Changes of Urban Built-Up Area in the Yellow River Basin from Nighttime Light Data. Land. 11(7). 1067–1067. 10 indexed citations
11.
Li, Shunming, Jiantao Lu, Kun Xu, et al.. (2022). A Hierarchical Sparse Discriminant Autoencoder for Bearing Fault Diagnosis. Applied Sciences. 12(2). 818–818. 5 indexed citations
12.
Wang, Ying, Ying Lu, Weipeng Wang, et al.. (2021). Conditional depletion of macrophages ameliorates cholestatic liver injury and fibrosis via lncRNA-H19. Cell Death and Disease. 12(7). 646–646. 31 indexed citations
13.
Xiao, Yongtao, Ying Wang, Liu Yang, et al.. (2021). A nonbile acid farnesoid X receptor agonist tropifexor potently inhibits cholestatic liver injury and fibrosis by modulating the gut–liver axis. Liver International. 41(9). 2117–2131. 35 indexed citations
14.
Li, Shunming, Kun Xu, Xianglian Li, et al.. (2021). Adversarial domain adaptation of asymmetric mapping with CORAL alignment for intelligent fault diagnosis. Measurement Science and Technology. 33(5). 55101–55101. 37 indexed citations
15.
Xiao, Yongtao, Yu Sun, Ying Lu, et al.. (2021). Loss function of Bcr mutation causes gastrointestinal dysmotility and brain developmental defects. Neurogastroenterology & Motility. 33(12). e14190–e14190. 1 indexed citations
16.
Li, Shunming, et al.. (2021). Deep domain adaptation with adversarial idea and coral alignment for transfer fault diagnosis of rolling bearing. Measurement Science and Technology. 32(9). 94009–94009. 25 indexed citations
17.
Du, Jun, Die Huang, Hongkun Li, et al.. (2020). Catalyst-Free Click Polymerization of Thiol and Activated Internal Alkynes: A Facile Strategy toward Functional Poly(β-thioacrylate)s. Macromolecules. 53(12). 4932–4941. 32 indexed citations
18.
Ning, Xiaogang, et al.. (2018). Spatio-temporal Urban Sprawl Monitoring and Analysis over Beijing-Tianjin-Hebei Urban Agglomeration during 1990—2015. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Du, Jun, et al.. (2011). Spatio-temporal analysis of ecological carrying capacity in Jinghe Watershed based on Remote Sensing and Transfer Matrix. 31(9). 2550–2558. 8 indexed citations
20.
Du, Jun. (2007). A Novel GEP Algorithm Based on PCA and Its Application in Predicting the Amount of Gas Emitted from Coalface. Yingyong jichu yu gongcheng kexue xuebao. 1 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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