Jingming Yang

701 citations
42 papers · 538 · h-index 13

Impact in

Papers in

Jingming Yang

39 papers receiving 528 citations

Peers

Jingming Yang
Comparison fields: 5 of 61
  • Computational Theory and Mathematics 281
  • Artificial Intelligence 298
  • Industrial and Manufacturing Engineering 51
  • Control and Systems Engineering 106
  • Mechanics of Materials 97
Replace Gajanan Waghmare with:
Gajanan Waghmare India
Alexandru-Ciprian Zăvoianu Austria
Prabhujit Mohapatra India
Lizhong Yao China
Emerson Hochsteiner de Vasconcelos Segundo Brazil
Victor Oduguwa United Kingdom
Haiming Lu United States
Jingwei Zhang China
Jinhong Wu China
Radovan R. Bulatović Serbia
Jingming Yang relative to Gajanan Waghmare India Gajanan Waghmare's profile →
Citations per field
00.5×5.7×
Gajanan Waghmare · 1×
Citations per year

Countries citing papers authored by Jingming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jingming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jingming Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jingming Yang Line = papers co-authored together Jingming Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201579
2 202071
3 201968
4 201630
5 202029
6 200827
7 201527
8 201027
9 202120
10 201720
11 202018
12 202114
13 202212
14 202011
15 201610
16 20199
17 20248
18 20058
19 20215
20 20225

About Jingming Yang

Jingming Yang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Mechanics of Materials and Mechanical Engineering, having authored 42 papers that have together received 538 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (17 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Metallurgy and Material Forming (13 papers), Evolutionary Algorithms and Applications (7 papers), Iterative Learning Control Systems (7 papers), Advanced Algorithms and Applications (6 papers), Topology Optimization in Engineering (4 papers) and Heat transfer and supercritical fluids (3 papers). The work is most often cited by research in Computational Theory and Mathematics (281 citations), Artificial Intelligence (298 citations), Industrial and Manufacturing Engineering (51 citations), Control and Systems Engineering (106 citations) and Mechanics of Materials (97 citations). Jingming Yang has collaborated with scholars based in China and Uzbekistan. Frequent co-authors include Ziyu Hu, Hao Sun, Lixin Wei, Qing Zhang, Xiaxia Li, Yajie Wang, Yanyan Wu, W. Huang, Jianhua Zhang and Quan Zhou. Their work appears in journals such as ISA Transactions, Applied Intelligence, Journal of Intelligent & Fuzzy Systems, European Journal of Operational Research and Journal of Iron and Steel Research International.

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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