Yongming Han

7.0k total citations · 1 hit paper
232 papers, 5.3k citations indexed

About

Yongming Han is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yongming Han has authored 232 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Control and Systems Engineering, 62 papers in Artificial Intelligence and 38 papers in Electrical and Electronic Engineering. Recurrent topics in Yongming Han's work include Fault Detection and Control Systems (45 papers), Machine Learning and ELM (29 papers) and Neural Networks and Applications (23 papers). Yongming Han is often cited by papers focused on Fault Detection and Control Systems (45 papers), Machine Learning and ELM (29 papers) and Neural Networks and Applications (23 papers). Yongming Han collaborates with scholars based in China, United States and Japan. Yongming Han's co-authors include Zhiqiang Geng, Qunxiong Zhu, Yunfei Cui, Chong Chu, Jinzhen Fan, Yanhua Zhong, Zun Wang, Xuan Hu, Xiaoyong Lin and Yonghao Lu and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Yongming Han

215 papers receiving 5.2k citations

Hit Papers

Review: Multi-objective optimization methods and applicat... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongming Han China 40 1.3k 999 820 773 764 232 5.3k
Zhiqiang Geng China 38 1.4k 1.1× 1.1k 1.1× 810 1.0× 691 0.9× 604 0.8× 210 4.8k
Haoran Zhang China 47 870 0.7× 749 0.7× 1.6k 2.0× 1.1k 1.4× 748 1.0× 346 7.3k
Amir M. Fathollahi‐Fard Canada 55 839 0.7× 798 0.8× 745 0.9× 442 0.6× 333 0.4× 142 7.2k
Qunxiong Zhu China 34 2.1k 1.6× 1.1k 1.1× 533 0.7× 362 0.5× 862 1.1× 242 4.2k
A. Azadeh Iran 49 1.0k 0.8× 1.2k 1.2× 2.0k 2.4× 553 0.7× 373 0.5× 398 8.9k
Huanxin Chen China 41 927 0.7× 723 0.7× 2.1k 2.6× 743 1.0× 783 1.0× 96 5.0k
Tanveer Ahmad China 29 556 0.4× 618 0.6× 2.4k 3.0× 518 0.7× 382 0.5× 37 4.4k
Dalibor Petković Serbia 48 653 0.5× 2.1k 2.1× 2.4k 2.9× 1.2k 1.6× 644 0.8× 172 6.7k
Risto Lahdelma Finland 50 987 0.8× 510 0.5× 2.6k 3.1× 524 0.7× 688 0.9× 151 6.7k
Guangdong Tian China 46 671 0.5× 575 0.6× 693 0.8× 266 0.3× 785 1.0× 139 6.3k

Countries citing papers authored by Yongming Han

Since Specialization
Citations

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

Fields of papers citing papers by Yongming Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongming Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yongming Han. A scholar is included among the top collaborators of Yongming Han 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 Yongming Han. Yongming Han 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.
Han, Yongming, et al.. (2025). Synthesized minority Oversampling Technique-Reverse k-nearest Neighbors-K-Dimensional Tree for dairy food safety risk evaluation. Expert Systems with Applications. 275. 127064–127064. 2 indexed citations
2.
Han, Yongming, Yanzhong Ju, Dehong Wang, et al.. (2025). The synthesis of hexamethylene diisocyanate microcapsules and mechanisms of self-healing geopolymer through an isocyanate- hydroxy system. Case Studies in Construction Materials. 22. e04581–e04581. 1 indexed citations
3.
4.
Bian, Weixin, et al.. (2024). Effect of fretting wear regimes on stress corrosion cracking of Alloy 690TT in high-temperature pressurized water. Corrosion Science. 237. 112320–112320. 5 indexed citations
6.
Guo, Yueling, Donghua Tian, Yongming Han, et al.. (2024). Unveiling the temperature effect on reciprocating sliding wear mechanism of a TA15 alloy fabricated by wire-arc additive manufacturing. Wear. 562-563. 205655–205655. 3 indexed citations
7.
Han, Yongming, et al.. (2024). Novel STAttention GraphWaveNet model for residential household appliance prediction and energy structure optimization. Energy. 307. 132582–132582. 5 indexed citations
9.
Li, Z.H., Yongming Han, Yunhao Zhao, et al.. (2024). Thermal corrosion fatigue crack growth behavior and life prediction of 304SS pipeline structures in high temperature pressurized water. Engineering Failure Analysis. 160. 108224–108224. 3 indexed citations
10.
Geng, Zhiqiang, Xueming Li, Bo Ma, & Yongming Han. (2024). Improved convolution neural network integrating attention based deep sparse auto encoder for network intrusion detection. Applied Intelligence. 55(2). 4 indexed citations
11.
Geng, Zhiqiang, et al.. (2024). Adaptive search based Grey Wolf optimization algorithm for multi-objective optimization of ethylene cracking furnace. Swarm and Evolutionary Computation. 92. 101810–101810. 9 indexed citations
12.
Xin, Long, Yongming Han, Xiaofeng Zhang, et al.. (2023). Mechanistic understanding on the fatigue cracking in fretting corrosion of alloy 690TT under partial slip regime in 100 ℃ and 290 ℃ water. Corrosion Science. 226. 111655–111655. 4 indexed citations
13.
Zhang, Yi, Yijing Feng, Shuo Chen, et al.. (2023). Using automated machine learning techniques to explore key factors in anaerobic digestion: At the environmental factor, microorganisms and system levels. Chemical Engineering Journal. 475. 146069–146069. 38 indexed citations
14.
Han, Yongming, Xuan Hu, Yeqing Li, et al.. (2023). Production prediction modeling of food waste anaerobic digestion for resources saving based on SMOTE-LSTM. Applied Energy. 352. 122024–122024. 20 indexed citations
15.
Han, Yongming, Yue Wang, Yi Lu, et al.. (2023). Multiscale variational autoencoder regressor for production prediction and energy saving of industrial processes. Chemical Engineering Science. 284. 119529–119529. 10 indexed citations
16.
Lv, Zhe, et al.. (2023). Few-Shot Fault Diagnosis Method of Rotating Machinery Using Novel MCGM Based CNN. IEEE Transactions on Industrial Informatics. 19(11). 10944–10955. 40 indexed citations
17.
Geng, Zhiqiang, Xinwei Shi, Yongming Han, & Xuan Hu. (2023). Small Sample Containment Vessel Cracks Detection Algorithm Based the Latent Diffusion Model and Improved Faster-RCNN. 1355–1359. 1 indexed citations
18.
Ma, Bo, et al.. (2021). A Novel Probability Confidence CNN Model and Its Application in Mechanical Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 37 indexed citations
19.
Han, Yongming, et al.. (2020). Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model. Energy. 218. 119508–119508. 34 indexed citations
20.
Geng, Zhiqiang, et al.. (2018). A pattern recognition modeling approach based on the intelligent ensemble classifier: Application to identification and appraisal of water-flooded layers. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 233(7). 737–750. 4 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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