Chuang Ding

564 total citations · 1 hit paper
18 papers, 386 citations indexed

About

Chuang Ding is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Chuang Ding has authored 18 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Chuang Ding's work include Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers) and Face recognition and analysis (3 papers). Chuang Ding is often cited by papers focused on Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers) and Face recognition and analysis (3 papers). Chuang Ding collaborates with scholars based in China and Singapore. Chuang Ding's co-authors include Chen Tang, Chunzhi Wu, Fuzhou Feng, Pengcheng Jiang, Pengcheng Zhu, Lei Xie, Wenbin Zhang, Yanwei Zeng, Ai‐Jun Wang and Shaomin Liu and has published in prestigious journals such as Journal of The Electrochemical Society, Computational Materials Science and Computers in Industry.

In The Last Decade

Chuang Ding

17 papers receiving 372 citations

Hit Papers

Intelligent fault diagnosis of rotating machinery based o... 2019 2026 2021 2023 2019 50 100 150 200 250
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. Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network
    2019 261 citations Chunzhi Wu, Pengcheng Jiang et al. Computers in Industry profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuang Ding China 6 234 137 82 56 45 18 386
Yanling Wu China 10 155 0.7× 136 1.0× 32 0.4× 33 0.6× 61 1.4× 26 431
Linghui Meng China 8 165 0.7× 130 0.9× 78 1.0× 78 1.4× 36 0.8× 29 320
Chunyang Wang China 11 68 0.3× 197 1.4× 32 0.4× 58 1.0× 41 0.9× 31 416
Carlos Rodríguez-Donate Mexico 13 258 1.1× 153 1.1× 53 0.6× 27 0.5× 142 3.2× 29 412
Shaohui Li China 6 259 1.1× 188 1.4× 76 0.9× 33 0.6× 30 0.7× 13 362
Francisco de Assis Boldt Brazil 7 347 1.5× 211 1.5× 118 1.4× 93 1.7× 14 0.3× 23 454
Shun Li China 9 201 0.9× 79 0.6× 18 0.2× 69 1.2× 94 2.1× 40 416
Cheng Guan China 10 273 1.2× 381 2.8× 19 0.2× 30 0.5× 71 1.6× 24 564
Fuzhou Feng China 6 316 1.4× 209 1.5× 105 1.3× 39 0.7× 27 0.6× 21 400

Countries citing papers authored by Chuang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Chuang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuang Ding

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

All Works

18 of 18 papers shown
1.
2.
Ding, Chuang, Kaixin Zhang, Yan Chen, & Hao Hu. (2023). LncRNA TP73-AS1 enhances the malignant properties of colorectal cancer by increasing SPP-1 expression through miRNA-539–5p sponging. Pathology - Research and Practice. 243. 154365–154365. 4 indexed citations
3.
Zhang, Kaixin, et al.. (2023). Knockdown of LINC01087 inhibits gastric cancer malignant behavior by regulating the miR-135a-5p/CAAP1 axis. Functional & Integrative Genomics. 23(3). 248–248. 3 indexed citations
4.
5.
Zheng, Xinqian, et al.. (2022). Multifidelity Optimization Under Uncertainty for Robust Design of a Micro-Turbofan Turbine Stage. Journal of Engineering for Gas Turbines and Power. 144(10). 5 indexed citations
6.
Ding, Chuang, et al.. (2019). First-principles study on the mechanical properties of interstitial solid solution Aluminum–Boron alloy. Computational Materials Science. 170. 109159–109159. 5 indexed citations
7.
Wu, Chunzhi, Pengcheng Jiang, Chuang Ding, Fuzhou Feng, & Chen Tang. (2019). Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network. Computers in Industry. 108. 53–61. 261 indexed citations breakdown →
8.
9.
Liu, Lijuan, et al.. (2017). The IFLYTEK System for Blizzard Challenge 2017. 44–48. 2 indexed citations
10.
Liu, Lijuan, Chuang Ding, Zhen-Hua Ling, et al.. (2017). The iFLYTEK system for blizzard machine learning challenge 2017-ES1. 657–664. 2 indexed citations
11.
Liu, Lijuan, et al.. (2017). The USTC system for blizzard machine learning challenge 2017-ES2. 650–656. 1 indexed citations
12.
Huang, Dongyan, Lei Xie, Jie Wu, et al.. (2016). An Automatic Voice Conversion Evaluation Strategy Based on Perceptual Background Noise Distortion and Speaker Similarity. DR-NTU (Nanyang Technological University). 44–51. 4 indexed citations
13.
14.
Ding, Chuang, Pengcheng Zhu, & Lei Xie. (2015). BLSTM neural networks for speech driven head motion synthesis. 3345–3349. 15 indexed citations
15.
Zhang, Wenbin, Chuang Ding, Ai‐Jun Wang, & Yanwei Zeng. (2015). 3-D Network Pore Structures in Copper Foams by Electrodeposition and Hydrogen Bubble Templating Mechanism. Journal of The Electrochemical Society. 162(8). D365–D370. 31 indexed citations
16.
Ding, Chuang, et al.. (2014). Speech-driven head motion synthesis using neural networks. 2303–2307. 4 indexed citations
17.
Ding, Chuang, Lei Xie, & Pengcheng Zhu. (2014). Head motion synthesis from speech using deep neural networks. Multimedia Tools and Applications. 74(22). 9871–9888. 34 indexed citations
18.
Liu, Shaomin, et al.. (2013). The Observation and Calculation Method of Soil Heat Flux and Its Impact on the Energy Balance Closure. Diqiu kexue jinzhan. 28(8). 875–889. 11 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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