Chao Yin

2.1k total citations · 1 hit paper
62 papers, 1.5k citations indexed

About

Chao Yin is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Chao Yin has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 12 papers in Artificial Intelligence and 8 papers in Control and Systems Engineering. Recurrent topics in Chao Yin's work include Digital Transformation in Industry (14 papers), Manufacturing Process and Optimization (9 papers) and 3D Surveying and Cultural Heritage (8 papers). Chao Yin is often cited by papers focused on Digital Transformation in Industry (14 papers), Manufacturing Process and Optimization (9 papers) and 3D Surveying and Cultural Heritage (8 papers). Chao Yin collaborates with scholars based in China, Hong Kong and Singapore. Chao Yin's co-authors include Zhihua Zhou, Xin Geng, Jack C.P. Cheng, Xiaobin Li, Vincent J.L. Gan, Biqing Huang, Chenghai Li, Xinpei Zhao, Qian Wang and Qián Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Water Research and Physical Chemistry Chemical Physics.

In The Last Decade

Chao Yin

57 papers receiving 1.5k citations

Hit Papers

Facial Age Estimation by Learning from Label Distributions 2013 2026 2017 2021 2013 100 200 300 400
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. Facial Age Estimation by Learning from Label Distributions
    2013 440 citations Chao Yin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Yin China 20 403 363 301 285 162 62 1.5k
Min Hu China 20 418 1.0× 361 1.0× 78 0.3× 170 0.6× 264 1.6× 74 1.3k
Bin Dai China 26 1.1k 2.7× 376 1.0× 142 0.5× 76 0.3× 111 0.7× 215 2.7k
Chengdong Li China 30 212 0.5× 819 2.3× 41 0.1× 347 1.2× 235 1.5× 172 3.2k
Liang Chen China 31 446 1.1× 371 1.0× 150 0.5× 29 0.1× 178 1.1× 222 3.7k
Rui Li China 27 212 0.5× 318 0.9× 48 0.2× 236 0.8× 61 0.4× 143 2.2k
Qiong Liu China 22 977 2.4× 126 0.3× 59 0.2× 73 0.3× 76 0.5× 127 1.7k
Anastasios Doulamis Greece 22 399 1.0× 154 0.4× 149 0.5× 29 0.1× 150 0.9× 87 1.3k
Xudong Sun China 16 618 1.5× 359 1.0× 96 0.3× 68 0.2× 34 0.2× 63 1.7k
Zhou Wu China 29 146 0.4× 523 1.4× 36 0.1× 141 0.5× 99 0.6× 137 2.9k
Daniel Urda Spain 17 309 0.8× 285 0.8× 223 0.7× 43 0.2× 22 0.1× 48 1.2k

Countries citing papers authored by Chao Yin

Since Specialization
Citations

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

Fields of papers citing papers by Chao Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Yin. A scholar is included among the top collaborators of Chao Yin 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 Chao Yin. Chao Yin 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.
Li, Xiaobin, et al.. (2025). A heterogeneous graph neural network based entity relationship extraction method in automotive parts supply chain. Expert Systems with Applications. 293. 128705–128705.
2.
Wang, Baoyi, Zhengyi Chen, Mingkai Li, et al.. (2024). Omni-Scan2BIM: A ready-to-use Scan2BIM approach based on vision foundation models for MEP scenes. Automation in Construction. 162. 105384–105384. 20 indexed citations
3.
Yin, Chao, Yan Zeng, Guang Ran, et al.. (2024). Quantitatively tracing the decomposition of endogenous particulate organic carbon during sinking in (sub-)deep reservoirs: Using radiocarbon isotopes Δ14C. Water Research. 271. 123003–123003. 3 indexed citations
4.
Zhang, Shucheng, Pei Jiang, Xiaobin Li, Chao Yin, & Xi Vincent Wang. (2024). A blockchain-empowered secure federated domain generalization framework for machinery fault diagnosis. Advanced Engineering Informatics. 62. 102756–102756. 11 indexed citations
5.
Li, Xiaobin, et al.. (2024). Knowledge graph based OPC UA information model automatic construction method for heterogeneous devices integration. Robotics and Computer-Integrated Manufacturing. 88. 102736–102736. 12 indexed citations
6.
Yin, Chao, et al.. (2024). Improved belief propagation decoder for LDPC-CRC-polar codes with bit-freezing. China Communications. 21(7). 135–148. 1 indexed citations
7.
Yin, Chao, Bo Yang, Jack C.P. Cheng, et al.. (2023). Label-efficient semantic segmentation of large-scale industrial point clouds using weakly supervised learning. Automation in Construction. 148. 104757–104757. 20 indexed citations
8.
9.
Yang, Ruirui, Chao Yin, Yan Gao, et al.. (2020). Energy transfer from Tb3+ to Eu3+ in ZnLaB5O10: A candidate for near ultraviolet LED pumped phosphor. Journal of Luminescence. 231. 117821–117821. 9 indexed citations
10.
Yin, Chao, et al.. (2020). Combined use of stable nitrogen and oxygen isotopes to constrain the nitrate sources in a karst lake. Agriculture Ecosystems & Environment. 303. 107089–107089. 46 indexed citations
11.
Yin, Chao, et al.. (2018). A grey correlation based supply–demand matching of machine tools with multiple quality factors in cloud manufacturing environment. Journal of Ambient Intelligence and Humanized Computing. 10(3). 1025–1038. 24 indexed citations
12.
Li, Xiaobin, et al.. (2018). A metadata based manufacturing resource ontology modeling in cloud manufacturing systems. Journal of Ambient Intelligence and Humanized Computing. 10(3). 1039–1047. 34 indexed citations
13.
Chen, Qián, et al.. (2018). Hybrid Consensus-Based Cubature Kalman Filtering for Distributed State Estimation in Sensor Networks. IEEE Sensors Journal. 18(11). 4561–4569. 65 indexed citations
14.
Wang, Shiyuan, et al.. (2017). Huber‐based Unscented Kalman Filters with the q ‐gradient. IET Science Measurement & Technology. 11(4). 380–387. 8 indexed citations
15.
Yin, Chao, et al.. (2017). Implementation of MTConnect in Machine Monitoring System for CNCs. 70–75. 7 indexed citations
16.
Chen, Qián, et al.. (2016). Distributed state estimations based on cubature Kalman filtering. 3384–3389. 8 indexed citations
17.
Lin, A., et al.. (2013). SRV Estimation Using Hydraulic Fracture Microseismic Event Data. Proceedings. 2 indexed citations
18.
Yin, Chao. (2011). Integration framework and implementation technologies of integrated workshop production management system for motorcycle parts enterprise. Journal of Chongqing University. English Edition. 1 indexed citations
19.
Yin, Chao. (2011). Outsourcing resources integration service mode and semantic description in cloud manufacturing environment. Computer Integrated Manufacturing Systems. 16 indexed citations
20.
Yin, Chao. (2008). General Planning Method of Enterprise Informationization Based on Its General Model. Industrial Engineering and Management.

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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