Huijun Ding

817 total citations
37 papers, 572 citations indexed

About

Huijun Ding is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Huijun Ding has authored 37 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 10 papers in Computational Mechanics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Huijun Ding's work include Speech and Audio Processing (11 papers), Advanced Adaptive Filtering Techniques (9 papers) and Speech Recognition and Synthesis (6 papers). Huijun Ding is often cited by papers focused on Speech and Audio Processing (11 papers), Advanced Adaptive Filtering Techniques (9 papers) and Speech Recognition and Synthesis (6 papers). Huijun Ding collaborates with scholars based in China, Singapore and Canada. Huijun Ding's co-authors include Ing Yann Soon, Chai Kiat Yeo, Yongjin Zhou, Han Zhang, Shifeng Chen, Dan Guo, Yang Li, Wei Huang, Guang Chen and Taojian Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nanoscale and IEEE Access.

In The Last Decade

Huijun Ding

35 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huijun Ding China	15	152	129	105	104	102	37	572
Siew‐Cheok Ng Malaysia	18	241 1.6×	100 0.8×	95 0.9×	92 0.9×	129 1.3×	68	890
K. Narasimhan India	18	114 0.8×	219 1.7×	181 1.7×	59 0.6×	229 2.2×	65	1.0k
Asma Ben Abdallah Tunisia	12	125 0.8×	36 0.3×	99 0.9×	24 0.2×	110 1.1×	68	434
Arūnas Lukoševičius Lithuania	15	272 1.8×	50 0.4×	67 0.6×	30 0.3×	103 1.0×	71	725
Jeong-Seon Park South Korea	13	165 1.1×	59 0.5×	243 2.3×	44 0.4×	100 1.0×	40	695
Guoli Song China	16	188 1.2×	97 0.8×	242 2.3×	18 0.2×	108 1.1×	59	734
Alireza Ahmadian Iran	19	440 2.9×	104 0.8×	342 3.3×	77 0.7×	273 2.7×	99	1.1k
A. Kandaswamy India	14	182 1.2×	192 1.5×	158 1.5×	203 2.0×	82 0.8×	58	876
Axel Boese Germany	13	174 1.1×	37 0.3×	36 0.3×	61 0.6×	93 0.9×	99	610
Takahiro Takeda Japan	12	223 1.5×	49 0.4×	98 0.9×	26 0.3×	56 0.5×	68	541

Countries citing papers authored by Huijun Ding

Since Specialization

Citations

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

Fields of papers citing papers by Huijun Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huijun Ding

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

An, Rui, et al.. (2025). [Low-grade adenosquamous carcinoma of the breast arising from benign sclerosing lesions: a clinicopathological analysis].. PubMed. 54(3). 230–236.

Wei, Zhaoguo, Gan Huang, Zhen Liang, et al.. (2024). Multimodal Sensing for Depression Risk Detection: Integrating Audio, Video, and Text Data. Sensors. 24(12). 3714–3714. 10 indexed citations

Ding, Huijun, Zhou Du, Ziwei Wang, et al.. (2024). IntervoxNet: a novel dual-modal audio-text fusion network for automatic and efficient depression detection from interviews. Frontiers in Physics. 12. 4 indexed citations

Zhang, Yibin, Miaozhuang Fan, Zhourui Xu, et al.. (2023). Machine-learning screening of luminogens with aggregation-induced emission characteristics for fluorescence imaging. Journal of Nanobiotechnology. 21(1). 107–107. 21 indexed citations

Wu, Sissi Xiaoxiao, et al.. (2023). Metaverse User Portrait Construction Based on Human Gaze-tracking Data. 1–6. 1 indexed citations

Lu, Minhua, Bingsheng Huang, Mimi Tang, et al.. (2021). Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging. Quantitative Imaging in Medicine and Surgery. 11(5). 1836–1853. 43 indexed citations

Ding, Huijun, et al.. (2021). Deep connected attention (DCA) ResNet for robust voice pathology detection and classification. Biomedical Signal Processing and Control. 70. 102973–102973. 22 indexed citations

Ding, Huijun, et al.. (2021). Automatic glottis segmentation for laryngeal endoscopic images based on U-Net. Biomedical Signal Processing and Control. 71. 103116–103116. 15 indexed citations

Jin, Jing, et al.. (2020). Quantitative evaluation of the groundwater environment: A case study in Tongliao, China. Human and Ecological Risk Assessment An International Journal. 26(9). 2367–2389. 1 indexed citations

10.

Wen, Bo, Xiantao Jiang, Yupeng Zhang, et al.. (2020). Deep‐Learning‐Enabled MXene‐Based Artificial Throat: Toward Sound Detection and Speech Recognition. Advanced Materials Technologies. 5(9). 62 indexed citations

11.

Huang, Wei, Liu Xi, Peng Zhang, et al.. (2019). Arterial Spin Labeling Images Synthesis From sMRI Using Unbalanced Deep Discriminant Learning. IEEE Transactions on Medical Imaging. 38(10). 2338–2351. 23 indexed citations

12.

Huang, Wei, et al.. (2018). Single-target localization in video sequences using offline deep-ranked metric learning and online learned models updating. Multimedia Tools and Applications. 77(21). 28539–28565. 4 indexed citations

13.

Ding, Huijun, Qing He, Yongjin Zhou, Dan Guo, & Song Cui. (2017). An Individual Finger Gesture Recognition System Based on Motion-Intent Analysis Using Mechanomyogram Signal. Frontiers in Neurology. 8. 573–573. 12 indexed citations

14.

Guo, Dan, et al.. (2017). An Unobtrusive Computerized Assessment Framework for Unilateral Peripheral Facial Paralysis. IEEE Journal of Biomedical and Health Informatics. 22(3). 835–841. 28 indexed citations

15.

Dai, Peng, Frank Rudzicz, Ing Yann Soon, Alex Mihailidis, & Huijun Ding. (2015). 2D Psychoacoustic modeling of equivalent masking for automatic speech recognition. Signal Processing. 115. 9–19. 2 indexed citations

16.

Guo, Dan, et al.. (2015). Enhancement of Dorsal Hand Vein Image with a Low-Cost Binocular Vein Viewer System. Journal of Medical Imaging and Health Informatics. 5(2). 359–365. 7 indexed citations

17.

Ding, Huijun, Ing Yann Soon, & Chai Kiat Yeo. (2010). Over-Attenuated Components Regeneration for Speech Enhancement. IEEE Transactions on Audio Speech and Language Processing. 18(8). 2004–2014. 7 indexed citations

18.

Ding, Huijun & Ing Yann Soon. (2009). An adaptive time-shift analysis for DCT based speech enhancement. 67. 1–4. 4 indexed citations

19.

Ding, Huijun, Ing Yann Soon, Soo Ngee Koh, & Chai Kiat Yeo. (2009). A post-processing technique for regeneration of over-attenuated speech. 67. 3889–3892. 3 indexed citations

20.

Ding, Huijun, et al.. (2008). A spectral filtering method based on hybrid wiener filters for speech enhancement. Speech Communication. 51(3). 259–267. 31 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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