Minghan Yang

660 citations
62 papers · 442 indexed · h-index 13

Minghan Yang

52 papers receiving 430 citations

Peers

Minghan Yang
Comparison fields: 5 of 118
  • Statistics, Probability and Uncertainty 30
  • Control and Systems Engineering 85
  • Electrochemistry 16
  • Numerical Analysis 12
  • Artificial Intelligence 66
Replace Mingqiu Wang with:
Mingqiu Wang China
Weihua Gao Germany
Erdal Aydın Türkiye
Yixuan Wang China
He China
Md. Shamsul Alam Bangladesh
Bradley R. Holt United States
Pantelis Sopasakis Italy
Weiwei Hu United States
Minghan Yang relative to Mingqiu Wang China Mingqiu Wang's profile →
Citations per field
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Mingqiu Wang · 1×
Citations per year

Countries citing papers authored by Minghan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Minghan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20254
5 20250
6 20250
7 20240
8 20242
9 20243
10 20247
11 202310
12 20235
13 202313
14 20221
15 202228
16 20220
17 202242
18 20215
19
Structured Stochastic Quasi-Newton Methods for Large-Scale Optimization Problems
20201
20 20186

About Minghan Yang

Minghan Yang is a scholar working on Radiation, Numerical Analysis, Statistics, Probability and Uncertainty, Aerospace Engineering and Molecular Medicine, having authored 62 papers that have together received 442 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (8 papers), Sparse and Compressive Sensing Techniques (5 papers), Fault Detection and Control Systems (5 papers), Nuclear Engineering Thermal-Hydraulics (5 papers), Nuclear Physics and Applications (4 papers), Stochastic Gradient Optimization Techniques (4 papers), Risk and Safety Analysis (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (30 citations), Control and Systems Engineering (85 citations), Electrochemistry (16 citations), Numerical Analysis (12 citations) and Artificial Intelligence (66 citations). Minghan Yang has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Jianye Wang, Jie Yu, Ping Sheng, Lidong Zhou, Nan Long, Yuantao Yao, Weijun Kong, Yujiao Hou, Zaiwen Wen and Min Xie. Their work appears in journals such as Annals of Nuclear Energy, Building and Environment, Progress in Nuclear Energy, European Journal of Medicinal Chemistry and Energy.

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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