Kaifeng Yang

995 total citations
37 papers, 422 citations indexed

About

Kaifeng Yang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Kaifeng Yang has authored 37 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 11 papers in Artificial Intelligence and 10 papers in Control and Systems Engineering. Recurrent topics in Kaifeng Yang's work include Advanced Multi-Objective Optimization Algorithms (15 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Probabilistic and Robust Engineering Design (6 papers). Kaifeng Yang is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (15 papers), Metaheuristic Optimization Algorithms Research (10 papers) and Probabilistic and Robust Engineering Design (6 papers). Kaifeng Yang collaborates with scholars based in China, Netherlands and Austria. Kaifeng Yang's co-authors include Michael Emmerich, Thomas Bäck, André Deutz, Jun Yang, Shihua Li, Michael Affenzeller, Runmin Zou, Ji Wang, Xiangyang Liu and Jianliang Mao and has published in prestigious journals such as PLoS ONE, Scientific Reports and Energy Conversion and Management.

In The Last Decade

Kaifeng Yang

33 papers receiving 415 citations

Peers

Kaifeng Yang
Kurt Hacker United States
Sujin Kim South Korea
Yufei Wu China
Stephen J. Leary United Kingdom
Kurt Hacker United States
Kaifeng Yang
Citations per year, relative to Kaifeng Yang Kaifeng Yang (= 1×) peers Kurt Hacker

Countries citing papers authored by Kaifeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kaifeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaifeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaifeng Yang. A scholar is included among the top collaborators of Kaifeng Yang 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 Kaifeng Yang. Kaifeng Yang 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.
Yang, Kaifeng, Hui Liu, Guang Xu, et al.. (2025). Diagnostic Performance of Different Examination Types and Learning Curves of Radiologists for 5G‐Based Robot‐Assisted Tele‐Ultrasonography. PubMed. 44(4). 747–758. 1 indexed citations
2.
Yang, Kaifeng, Haifeng Li, & Shihua Li. (2025). Composite model predictive current control for PMSM servo system. Transactions of the Institute of Measurement and Control. 48(6). 1147–1154.
3.
Porumbescu, Gregory A., et al.. (2025). Introduction to Special Issue on Generative AI and Public Administration: Performance, Accountability, and Democratic Governance. Public Performance & Management Review. 48(6). 1263–1267.
4.
Gao, Yuan, et al.. (2025). A vehicle trajectory prediction model that integrates spatial interaction and multiscale temporal features. Scientific Reports. 15(1). 8217–8217. 2 indexed citations
5.
Gao, Yuan, et al.. (2024). Surrounding vehicle trajectory prediction under mixed traffic flow based on graph attention network. Physica A Statistical Mechanics and its Applications. 639. 129643–129643. 13 indexed citations
6.
Yang, Kaifeng, et al.. (2024). Extended State Observer Based Model Prediction Control for PMSM Field Weakening Control. 4611–4616. 1 indexed citations
7.
Yang, Kaifeng, et al.. (2024). Social Equity Amid COVID-19: Examining Health Disparities from the Perspective of Governmental and Social Responsiveness. The American Review of Public Administration. 55(1). 65–83.
8.
Yang, Kaifeng, Shengjie Li, Jun Xu, & Yongbin Zheng. (2024). Machine learning prediction model for gray-level co-occurrence matrix features of synchronous liver metastasis in colorectal cancer. World Journal of Gastrointestinal Surgery. 16(6). 1571–1581. 2 indexed citations
9.
Zhang, Yaqin, Liping Sun, Le‐Hang Guo, et al.. (2023). A 5G-based telerobotic ultrasound system provides qualified abdominal ultrasound services for patients on a rural island: a prospective and comparative study of 401 patients. Abdominal Radiology. 49(3). 942–957. 6 indexed citations
10.
Burlacu, Bogdan, Kaifeng Yang, & Michael Affenzeller. (2023). Population diversity and inheritance in genetic programming for symbolic regression. Natural Computing. 23(3). 531–566. 4 indexed citations
11.
Vermetten, Diederick, et al.. (2023). Challenges of ELA-Guided Function Evolution Using Genetic Programming. Leiden Repository (Leiden University). 5 indexed citations
12.
Bramante, Carolyn T., Steve Johnson, Víctor García, et al.. (2022). Diabetes medications and associations with Covid-19 outcomes in the N3C database: A national retrospective cohort study. PLoS ONE. 17(11). e0271574–e0271574. 5 indexed citations
13.
Yang, Kaifeng, et al.. (2019). Towards multi-objective mixed integer evolution strategies. AIP conference proceedings. 2070. 20046–20046. 2 indexed citations
14.
Nguyễn, Văn Đức, et al.. (2019). A Review: Prognostics and Health Management in Automotive and Aerospace. International Journal of Prognostics and Health Management. 10(2). 34 indexed citations
15.
Yang, Kaifeng, Michael Emmerich, André Deutz, & Thomas Bäck. (2018). Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient. Swarm and Evolutionary Computation. 44. 945–956. 95 indexed citations
16.
Yang, Kaifeng, et al.. (2016). Primary splenic angiosarcoma with liver metastasis: A case report and literature review. World Journal of Gastroenterology. 22(12). 3506–3510. 11 indexed citations
17.
Yang, Kaifeng, Longmei Li, André Deutz, Thomas Bäck, & Michael Emmerich. (2016). Preference-based multiobjective optimization using truncated expected hypervolume improvement. 276–281. 14 indexed citations
18.
Yang, Kaifeng, et al.. (2016). SMS-EMOA with multiple dynamic reference points. 282–288. 5 indexed citations
19.
Yang, Kaifeng, Daniel Gaida, Thomas Bäck, & Michael Emmerich. (2015). Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant. 7. 1934–1942. 15 indexed citations
20.
Yang, Kaifeng, et al.. (2002). A Modeling of Proportional Pressure Control Valve and its Control. Power System Engineering. 6(3). 71–77. 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.

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