Nian Cai

1.6k total citations
89 papers, 1.1k citations indexed

About

Nian Cai is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Nian Cai has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 19 papers in Electrical and Electronic Engineering and 17 papers in Biomedical Engineering. Recurrent topics in Nian Cai's work include Image and Signal Denoising Methods (11 papers), Industrial Vision Systems and Defect Detection (11 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). Nian Cai is often cited by papers focused on Image and Signal Denoising Methods (11 papers), Industrial Vision Systems and Defect Detection (11 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). Nian Cai collaborates with scholars based in China, Singapore and United States. Nian Cai's co-authors include Han Wang, Wenjie Chen, Guotian Wang, Bingo Wing‐Kuen Ling, Zhijing Yang, Xin Chen, Yadong Tang, Xingzi Lan, Xindu Chen and Weimin Huang and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Power Sources and Chemical Engineering Journal.

In The Last Decade

Nian Cai

78 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
Nian Cai China 17 330 287 214 158 126 89 1.1k
Beibei Sun China 22 145 0.4× 125 0.4× 136 0.6× 31 0.2× 658 5.2× 77 1.4k
Dong Jiang China 26 199 0.6× 196 0.7× 233 1.1× 58 0.4× 804 6.4× 167 2.1k
Fang Zhang China 16 77 0.2× 253 0.9× 51 0.2× 22 0.1× 93 0.7× 72 908
Hai Yang China 15 231 0.7× 90 0.3× 395 1.8× 40 0.3× 161 1.3× 87 1.1k
Zhigang Wei United States 22 118 0.4× 57 0.2× 168 0.8× 37 0.2× 529 4.2× 145 1.4k
Yeping Peng China 25 351 1.1× 219 0.8× 330 1.5× 23 0.1× 796 6.3× 67 1.9k
Hyunjun Kim South Korea 28 211 0.6× 178 0.6× 317 1.5× 22 0.1× 298 2.4× 124 2.3k
Gang Liu China 22 102 0.3× 195 0.7× 177 0.8× 96 0.6× 465 3.7× 161 1.6k
Chunxu Li China 18 343 1.0× 195 0.7× 55 0.3× 84 0.5× 164 1.3× 83 1.1k

Countries citing papers authored by Nian Cai

Since Specialization
Citations

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

Fields of papers citing papers by Nian Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nian Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Nian Cai. A scholar is included among the top collaborators of Nian Cai 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 Nian Cai. Nian Cai 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.
2.
Cai, Nian, et al.. (2024). Relation extraction for colorectal cancer via deep learning with entity-aware feature orthogonal decomposition. Expert Systems with Applications. 258. 125188–125188.
3.
Wu, Rong, et al.. (2024). ROPRNet: Deep learning-assisted recurrence prediction for retinopathy of prematurity. Biomedical Signal Processing and Control. 100. 107135–107135. 2 indexed citations
4.
Cai, Nian, et al.. (2024). A deep learning framework for the joint prediction of the SOH and RUL of lithium-ion batteries based on bimodal images. Energy. 302. 131700–131700. 24 indexed citations
5.
Zhou, Shuai, Kaixue Ma, Yugong Wu, Shizhao Wang, & Nian Cai. (2024). A Study on the Reliability Evaluation of a 3D Packaging Storage Module under Temperature Cycling Ultimate Stress Conditions. Micromachines. 15(4). 428–428. 3 indexed citations
6.
Cai, Nian, et al.. (2024). IC Packaging Material Identification via a Hybrid Deep Learning Framework with CNN–Transformer Bidirectional Interaction. Micromachines. 15(3). 418–418. 2 indexed citations
7.
Cai, Nian, et al.. (2024). Error Analysis and Correction for Electrohydrodynamic Printing: A Review. 3D Printing and Additive Manufacturing. 12(5). 518–541. 2 indexed citations
8.
Wang, Han, et al.. (2023). Image denoising and deringing for fourier single-pixel imaging based on upgraded weighted nuclear norm minimization. Optics Communications. 550. 130011–130011. 1 indexed citations
9.
Xiao, Pan, et al.. (2023). An adaptive coarse-to-fine framework for automatic first article inspection of flexographic printing labels. Expert Systems with Applications. 227. 120241–120241. 2 indexed citations
10.
Zhou, Yinghong, et al.. (2023). A High-Precision Multi-Beam Optical Measurement Method for Cylindrical Surface Profile. Micromachines. 14(8). 1555–1555. 2 indexed citations
11.
Zheng, Hehui, et al.. (2023). A Lightweight Method for Detecting IC Wire Bonding Defects in X-ray Images. Micromachines. 14(6). 1119–1119. 5 indexed citations
12.
Cai, Nian, et al.. (2023). ATNet: A Defect Detection Framework for X-ray Images of DIP Chip Lead Bonding. Micromachines. 14(7). 1375–1375. 3 indexed citations
13.
Wang, Huaquan, Weimin Huang, Yahui Chen, et al.. (2021). Stimulus-Responsive Shrinkage in Electrospun Membranes: Fundamentals and Control. Micromachines. 12(8). 920–920. 15 indexed citations
14.
15.
Cai, Nian, et al.. (2015). Ensemble Empirical Mode Decomposition Base on Complementary Adaptive Noises. 电子与信息学报. 37(10). 2383–2389.
16.
Cai, Nian. (2012). Object tracking based on contourlet histogram. Laser & Infrared.
17.
Cai, Nian. (2007). Study of the relationship between CD14 gene promoter C(-260) T point mutation and plasma IL-6 and coronary artery disease in northern Chinese Han population. Zhongguo laonianxue zazhi. 1 indexed citations
18.
Cai, Nian. (2006). Image restoration method based on neural network. Infrared and Laser Engineering.
19.
Cai, Nian. (2006). Novel color image restoration method:sliding window based support vector regression algorithm. Infrared and Laser Engineering. 1 indexed citations
20.
Li, Fangzhen, et al.. (2004). Automatic recognition of small cell carcinoma based on the self-organizing neural network.. PubMed. 14(2). 175–84. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Beibei Sun Breakdown of academic impact, for papers by Dong Jiang Breakdown of academic impact, for papers by Fang Zhang Breakdown of academic impact, for papers by Hai Yang Breakdown of academic impact, for papers by Zhigang Wei Breakdown of academic impact, for papers by Yeping Peng Breakdown of academic impact, for papers by Hyunjun Kim Breakdown of academic impact, for papers by Gang Liu Breakdown of academic impact, for papers by Chunxu Li
Rankless by CCL
2026