Daming Shi

1.7k total citations
76 papers, 1.2k citations indexed

About

Daming Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Daming Shi has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 11 papers in Biomedical Engineering. Recurrent topics in Daming Shi's work include Advanced Image Processing Techniques (10 papers), Image and Signal Denoising Methods (8 papers) and Neural Networks and Applications (8 papers). Daming Shi is often cited by papers focused on Advanced Image Processing Techniques (10 papers), Image and Signal Denoising Methods (8 papers) and Neural Networks and Applications (8 papers). Daming Shi collaborates with scholars based in China, Singapore and United Kingdom. Daming Shi's co-authors include John M. Vohs, Bin Deng, Sen Jia, Liying Zheng, Xiaochun Cheng, Chuanjun Zheng, Maysam Orouskhani, Eric C.C. Tsang, Wing W. Y. Ng and Liying Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Catalysis and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Daming Shi

70 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daming Shi China 20 434 245 219 204 195 76 1.2k
Yinghua Lu China 19 389 0.9× 192 0.8× 128 0.6× 164 0.8× 61 0.3× 154 1.3k
Jing Dong China 21 1.8k 4.2× 336 1.4× 312 1.4× 121 0.6× 46 0.2× 83 2.2k
Weiwei Wang China 20 613 1.4× 194 0.8× 333 1.5× 144 0.7× 34 0.2× 139 1.9k
Stephen D. Brown Canada 30 161 0.4× 285 1.2× 72 0.3× 296 1.5× 85 0.4× 114 3.8k
Guangrun Wang China 21 1.2k 2.7× 441 1.8× 68 0.3× 513 2.5× 167 0.9× 42 1.8k
Lei Feng China 23 420 1.0× 760 3.1× 45 0.2× 256 1.3× 42 0.2× 76 1.8k
Chunkai Zhang China 20 360 0.8× 589 2.4× 61 0.3× 97 0.5× 29 0.1× 73 1.4k
Fangfang Liu China 22 212 0.5× 129 0.5× 32 0.1× 364 1.8× 262 1.3× 93 1.8k
Huan Li China 17 167 0.4× 215 0.9× 45 0.2× 65 0.3× 73 0.4× 51 1.2k

Countries citing papers authored by Daming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Daming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daming Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Daming Shi. A scholar is included among the top collaborators of Daming Shi 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 Daming Shi. Daming Shi 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.
Shi, Daming, et al.. (2024). A convex Kullback–Leibler optimization for semi-supervised few-shot learning. Computer Vision and Image Understanding. 249. 104152–104152. 1 indexed citations
2.
Shi, Daming, et al.. (2024). Few-shot learning with representative global prototype. Neural Networks. 180. 106600–106600. 5 indexed citations
3.
Shi, Daming, et al.. (2024). Adaptive control of spectral bias in Untrained Neural Network Priors for inverse problems. Expert Systems with Applications. 255. 124516–124516. 1 indexed citations
4.
5.
Shi, Daming, et al.. (2023). Generative Recorrupted-to-Recorrupted: An Unsupervised Image Denoising Network for Arbitrary Noise Distribution. Remote Sensing. 15(2). 364–364. 5 indexed citations
6.
Shi, Daming, et al.. (2023). Pixel-Wise Polynomial Estimation Model for Low-Light Image Enhancement. KSII Transactions on Internet and Information Systems. 17(9). 2 indexed citations
7.
Shi, Daming, et al.. (2023). A non-regularization self-supervised Retinex approach to low-light image enhancement with parameterized illumination estimation. Pattern Recognition. 146. 110025–110025. 21 indexed citations
8.
Guo, Xudong, Daming Shi, & Wenhui Fan. (2023). Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism. 126–134. 4 indexed citations
9.
Shi, Daming, et al.. (2023). A Contrastive Model with Local Factor Clustering for Semi-Supervised Few-Shot Learning. Mathematics. 11(15). 3394–3394. 1 indexed citations
10.
Shi, Daming, et al.. (2023). SS-VPE: Semi-Supervised Variational Prototyping Encoder With Student’s-t Mixture Model. IEEE Transactions on Instrumentation and Measurement. 72. 1–9. 1 indexed citations
11.
Shi, Daming, et al.. (2022). A comprehensive experiment-based review of low-light image enhancement methods and benchmarking low-light image quality assessment. Signal Processing. 204. 108821–108821. 51 indexed citations
12.
Zhang, Heng, Jin Xiao, Yongping Lin, et al.. (2021). Photon Scattering Signal Amplification in Gold-Viral Particle Ligation Towards Fast Infection Screening. IEEE photonics journal. 13(3). 1–11. 3 indexed citations
13.
Shi, Daming, et al.. (2021). RnR: Retrieval and Reprojection Learning Model for Camera Localization. IEEE Access. 9. 34626–34634.
14.
Ni, Bin, Weiping Liu, Jin Xiao, et al.. (2021). Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning. Optics Communications. 503. 127463–127463. 1 indexed citations
15.
Liu, Juan, Jichuan Xiong, Lianping Hou, et al.. (2021). Quantitative analysis of errors caused by vibration on polarization parametric indirect microscopic imaging system. Applied Optics. 60(8). 2141–2141.
16.
Shi, Daming, Maysam Orouskhani, & Yasin Orouskhani. (2021). A conditional Triplet loss for few-shot learning and its application to image co-segmentation. Neural Networks. 137. 54–62. 23 indexed citations
17.
Liu, Weiping, Jichuan Xiong, Juan Liu, et al.. (2020). Characterization of deep sub-wavelength nanowells by imaging the photon state scattering spectra. Optics Express. 29(2). 1221–1221. 2 indexed citations
18.
Shi, Daming, et al.. (2010). Advanced Hough Transform Using A Multilayer Fractional Fourier Method. IEEE Transactions on Image Processing. 19(6). 1558–1566. 39 indexed citations
19.
Shi, Daming, et al.. (2005). A new method of fast measuring surface tension of melt cast iron and its application in graphite shape identification. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Chen, Fei, et al.. (2004). A Novel Preformulation Tool to Group Microcrystalline Celluloses Using Artificial Neural Network and Data Clustering. Pharmaceutical Research. 21(12). 2360–2368. 10 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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