Jin Yao

2.6k citations
87 papers · 1.1k · h-index 18

Impact in

Papers in

Jin Yao

76 papers receiving 1.0k citations

Peers

Jin Yao
Comparison fields: 5 of 131
  • Nuclear Energy and Engineering 8
  • Industrial and Manufacturing Engineering 107
  • Endocrinology, Diabetes and Metabolism 119
  • Statistics, Probability and Uncertainty 55
  • Mechanical Engineering 233
Replace Alessandro Greco with:
Alessandro Greco Italy
Xiong Xiong China
Ying Bai United States
Aref Maalej Tunisia
Chunjie Yang China
Dalin Zhang China
Mei‐Ling Huang Taiwan
Linxuan Zhang China
Pengcheng Xia China
Jin Yao relative to Alessandro Greco Italy Alessandro Greco's profile →
Citations per field
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Alessandro Greco · 1×
Citations per year

Countries citing papers authored by Jin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Yao, 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 Jin Yao Line = papers co-authored together Jin Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201484
2 202073
3 201866
4 201356
5 201155
6 201252
7 201848
8 201346
9 201035
10 201034
11 201333
12 201930
13 200928
14 201627
15 201626
16 201118
17 202017
18 201217
19 201217
20 201517

About Jin Yao

Jin Yao is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (11 papers), Scheduling and Optimization Algorithms (7 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Energy Harvesting in Wireless Networks (6 papers), Gear and Bearing Dynamics Analysis (5 papers), Robotic Path Planning Algorithms (5 papers), Mechanical Engineering and Vibrations Research (4 papers) and Microwave Engineering and Waveguides (4 papers). The work is most often cited by research in Nuclear Energy and Engineering (8 citations), Industrial and Manufacturing Engineering (107 citations), Endocrinology, Diabetes and Metabolism (119 citations), Statistics, Probability and Uncertainty (55 citations) and Mechanical Engineering (233 citations). Jin Yao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yaru Yang, Xiaoli Zhao, Ershun Pan, Yancheng Li, Huibin Huang, Jianchun Li, Jiong Wang, Baoying Huang, Junping Wen and Deping Yu. Their work appears in journals such as Energy, Energies, Mechanism and Machine Theory, Atherosclerosis and Journal of Manufacturing Technology 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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